From e32ae87f92309dc6034fef9323ba058754b0e486 Mon Sep 17 00:00:00 2001 From: David Hugentobler Date: Tue, 15 Mar 2022 14:10:29 +0100 Subject: Titel und Autor wurde in paper lambertw geaendert --- buch/papers/lambertw/main.tex | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) (limited to 'buch/papers') diff --git a/buch/papers/lambertw/main.tex b/buch/papers/lambertw/main.tex index c125c33..e58ed5a 100644 --- a/buch/papers/lambertw/main.tex +++ b/buch/papers/lambertw/main.tex @@ -3,10 +3,10 @@ % % (c) 2020 Hochschule Rapperswil % -\chapter{Thema\label{chapter:lambertw}} +\chapter{Verfolgungskurven\label{chapter:lambertw}} \lhead{Thema} \begin{refsection} -\chapterauthor{Hans Muster} +\chapterauthor{David Hugentobler und Yanik Kuster} Ein paar Hinweise für die korrekte Formatierung des Textes \begin{itemize} -- cgit v1.2.1 From 4b8e2383962955bcd6419d855e5c38df36e7d067 Mon Sep 17 00:00:00 2001 From: David Hugentobler Date: Tue, 15 Mar 2022 14:20:01 +0100 Subject: commit after adding main.log --- buch/papers/lambertw/main.log | 749 ++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 749 insertions(+) create mode 100644 buch/papers/lambertw/main.log (limited to 'buch/papers') diff --git a/buch/papers/lambertw/main.log b/buch/papers/lambertw/main.log new file mode 100644 index 0000000..4b0af4d --- /dev/null +++ b/buch/papers/lambertw/main.log @@ -0,0 +1,749 @@ +This is pdfTeX, Version 3.141592653-2.6-1.40.23 (TeX Live 2021/W32TeX) (preloaded format=pdflatex 2021.11.16) 15 MAR 2022 13:23 +entering extended mode + restricted \write18 enabled. + %&-line parsing enabled. +**main.tex +(./main.tex +LaTeX2e <2021-11-15> +L3 programming layer <2021-11-12> +! 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+Missing character: There is no q in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no q in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no q in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no x in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no v in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no , in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no q in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no q in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no , in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no . in font nullfont! +Missing character: There is no E in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no q in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no x in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no . in font nullfont! +Missing character: There is no N in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no , in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no q in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no q in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no q in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no x in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no , in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no v in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no , in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no . in font nullfont! +Missing character: There is no T in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no q in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no v in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no v in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no . in font nullfont! +Missing character: There is no I in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no q in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no , in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no v in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no c in font nullfont! 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Emergency stop. +<*> teil4.tex + +*** (job aborted, no legal \end found) + + +Here is how much of TeX's memory you used: + 16 strings out of 478371 + 382 string characters out of 5852527 + 296836 words of memory out of 5000000 + 18226 multiletter control sequences out of 15000+600000 + 403430 words of font info for 27 fonts, out of 8000000 for 9000 + 1141 hyphenation exceptions out of 8191 + 13i,0n,12p,83b,18s stack positions out of 5000i,500n,10000p,200000b,80000s +! ==> Fatal error occurred, no output PDF file produced! diff --git a/buch/papers/lambertw/teil4.tex b/buch/papers/lambertw/teil4.tex new file mode 100644 index 0000000..74b6b02 --- /dev/null +++ b/buch/papers/lambertw/teil4.tex @@ -0,0 +1,81 @@ +% +% teil3.tex -- Beispiel-File für Teil 3 +% +% (c) 2020 Prof Dr Andreas Müller, Hochschule Rapperswil +% +\section{Beispiel Verfolgungskurve +\label{lambertw:section:teil4}} +\rhead{Beispiel Verfolgungskurve} +In diesem Abschnitt wird rechnerisch das Beispiel einer Verfolgungskurve beschreiben. + +\subsection{Ziel bewegt sich auf einer Gerade +\label{lambertw:subsection:malorum}} +Das zu verfolgende Ziel \(Z\) wandert auf einer Gerade, wobei diese Gerade der \(y\)-Achse entspricht. Der Verfolger \(V\) startet auf einem beliebigen Punkt auf dem ersten Quadrant. Diese Anfangspunkte oder Anfangsbedingungen können wie folgt formuliert werden: +\begin{equation} + Z + = + \left( \begin{array}{c} 0 \\ t \end{array} \right) + ; + V + = + \left( \begin{array}{c} x \\ y \end{array} \right) + \label{lambertw:equation2} +\end{equation} +Wenn man diese Startpunkte in die Gleichung der Verfolgungskurve einfügt ergibt sich folgender Ausdruck: +\begin{equation} + \frac{\left( \begin{array}{c} 0-x \\ t-y \end{array} \right)}{\sqrt{x^2 + (t-y)^2}} + \circ + \left(\begin{array}{c} \dot{x} \\ \dot{y} \end{array}\right) + = + 1 + \label{lambertw:equation3} +\end{equation} +Macht man den linken Term Bruchfrei und löst das Skalarprodukt auf, dann ergibt sich folgende DGL: +\[ + \left( \begin{array}{c} 0-x \\ t-y \end{array} \right) + \circ + \left(\begin{array}{c} \dot{x} \\ \dot{y} \end{array}\right) + = \sqrt{x^2 + (t-y)^2}\\ +\] +\begin{equation} + -x \cdot \dot{x} + (t-y) \cdot \dot{y} + = \sqrt{x^2 + (t-y)^2} + \label{lambertw:equation4} +\end{equation} +Im nächsten Schritt quadriert man beide Seiten, erweitert den neu entstandenen quadratischen Term, bringt alles auf die linke Seite und klammert gemeinsames aus. +\begin{align*} + ((t-y) \dot{y} - x \dot{x})^2 + &= x^2 + (t-y)^2 \\ + x^2 \dot{x}^2 - 2x(t-y) \dot{x} \dot{y} + (t-y)^2 \dot{y} + &= x^2 + (t-y)^2 \\ + \dot{x}^2 x^2 - x^2 - 2x(t-y) \dot{x} \dot{y} + \dot{y}^2 (t-y)^2 - (t-y)^2 + &= 0 \\ + (\dot{x}^2 - 1) \cdot x^2 - 2x(t-y) \dot{x} \dot{y} + (\dot{y}^2 - 1) \cdot (t-y)^2 + &= 0 +\end{align*} +Der letzte Ausdruck kann mittels folgender Beziehung \(\dot{x}^2 + \dot{y}^2 = 1\) vereinfacht werden und anschliessend mit \(-1\) multiplizieren: +\[ + \underbrace{(\dot{x}^2 - 1)}_{\mathclap{-\dot{y}^2}} \cdot x^2 - 2x(t-y) \dot{x} \dot{y} + \underbrace{(\dot{y}^2 - 1)}_{\mathclap{-\dot{x}^2}} \cdot (t-y)^2 + = 0 +\] +\begin{align*} + - \dot{y}^2 \cdot x^2 - 2x(t-y) \dot{x} \dot{y} - \dot{x}^2 \cdot (t-y)^2 + &= 0 \\ + \dot{y}^2 \cdot x^2 + 2x(t-y) \dot{x} \dot{y} + \dot{x}^2 \cdot (t-y)^2 + &= 0 +\end{align*} +Im letzten Ausdruck erkennt man das Muster einer binomischen Formel, was den Ausdruck wesentlich vereinfacht: +\begin{align*} + x^2 \dot{y}^2 + 2 \cdot x \dot{y} \cdot (t-y) \dot{x} + (t-y)^2 \dot{x}^2 + &= 0 \\ + (x \dot{y} + (t-y) \dot{x})^2 + &= 0 +\end{align*} +Wenn man nun beidseitig die Quadratwurzel zieht, dann ergibt sich im Vergleich zu \eqref{lambertw:equation4} eine wesentlich einfachere DGL: +\begin{equation} + x \dot{y} + (t-y) \dot{x} + = 0 + \label{lambertw:equation5} +\end{equation} + + -- cgit v1.2.1 From d36a701a0538df37ab8389925011c9f33fcd4cbd Mon Sep 17 00:00:00 2001 From: Yanik Kuster Date: Wed, 6 Apr 2022 11:20:25 +0200 Subject: added a picture to visualize example problem --- buch/papers/lambertw/Bilder/something.svg | 1 + 1 file changed, 1 insertion(+) create mode 100644 buch/papers/lambertw/Bilder/something.svg (limited to 'buch/papers') diff --git a/buch/papers/lambertw/Bilder/something.svg b/buch/papers/lambertw/Bilder/something.svg new file mode 100644 index 0000000..e9d5656 --- /dev/null +++ b/buch/papers/lambertw/Bilder/something.svg @@ -0,0 +1 @@ +–4–4–4–3–3–3–2–2–2–1–1–1111222333444555666777888999101010111111–5–5–5–4–4–4–3–3–3–2–2–2–1–1–1111222333444555666777888000OAOAOAOPOPOPPAPAPAPPPAAA \ No newline at end of file -- cgit v1.2.1 From d2a5fa34c505f498845f3c8ab8335c090bd1bfec Mon Sep 17 00:00:00 2001 From: Yanik Kuster Date: Wed, 6 Apr 2022 11:30:37 +0200 Subject: derivation of pursuerproblem DGL --- buch/papers/lambertw/packages.tex | 2 + buch/papers/lambertw/teil0.tex | 21 +++----- buch/papers/lambertw/teil1.tex | 109 +++++++++++++++++++++++++++++++++++++- 3 files changed, 118 insertions(+), 14 deletions(-) (limited to 'buch/papers') diff --git a/buch/papers/lambertw/packages.tex b/buch/papers/lambertw/packages.tex index 6581a5a..366de78 100644 --- a/buch/papers/lambertw/packages.tex +++ b/buch/papers/lambertw/packages.tex @@ -8,3 +8,5 @@ % following example %\usepackage{packagename} +\usepackage{graphicx} +\usepackage{float} \ No newline at end of file diff --git a/buch/papers/lambertw/teil0.tex b/buch/papers/lambertw/teil0.tex index 2b83d59..ca172e5 100644 --- a/buch/papers/lambertw/teil0.tex +++ b/buch/papers/lambertw/teil0.tex @@ -3,20 +3,15 @@ % % (c) 2020 Prof Dr Andreas Müller, Hochschule Rapperswil % -\section{Teil 0\label{lambertw:section:teil0}} +\section{Was sind Verfolgungskurven? \label{lambertw:section:teil0}} \rhead{Teil 0} -Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam -nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam -erat, sed diam voluptua \cite{lambertw:bibtex}. -At vero eos et accusam et justo duo dolores et ea rebum. -Stet clita kasd gubergren, no sea takimata sanctus est Lorem ipsum -dolor sit amet. -Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam -nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam -erat, sed diam voluptua. -At vero eos et accusam et justo duo dolores et ea rebum. Stet clita -kasd gubergren, no sea takimata sanctus est Lorem ipsum dolor sit -amet. + +Verfolgungskurven entstehen immer, dann wenn ein Verfolger sein Ziel verfolgt. +Nämlich ist eine Verfolgungskurve die Kurve, die ein Verfolger abfährt während er sein Ziel verfolgt. + +Zum Beispiel + + diff --git a/buch/papers/lambertw/teil1.tex b/buch/papers/lambertw/teil1.tex index 7b545c3..493ec05 100644 --- a/buch/papers/lambertw/teil1.tex +++ b/buch/papers/lambertw/teil1.tex @@ -3,9 +3,116 @@ % % (c) 2020 Prof Dr Andreas Müller, Hochschule Rapperswil % -\section{Teil 1 +\section{Beispiel () \label{lambertw:section:teil1}} \rhead{Problemstellung} + + + +%\begin{figure}[H] +% \centering +% \includegraphics[width=0.5\textwidth]{.\Bilder\something.pdf} +% \label{pursuer:grafik1} +%\end{figure} + + + +Je nach Verfolgungsstrategie die der Verfolger verwendet, entsteht eine andere DGL. +Für dieses konkrete Beispiel wird einfachheitshalber die simpelste Strategie gewählt. +Bei dieser Strategie bewegt sich der Verfolger immer direkt auf sein Ziel hinzu. +Womit der Geschwindigkeitsvektor des Verfolgers zu jeder Zeit direkt auf das Ziel zeigt. + +Um die DGL dieses Problems herzuleiten wird der Sachverhalt in der Grafik \eqref{pursuer:grafik1} aufgezeigt. +Der Punkt $P$ ist der Verfolger und der Punkt $A$ ist sein Ziel. + +Um dies mathematisch beschreiben zu können, wird der Richtungsvektor +\begin{equation} + \frac{A-P}{|A-P|} + = + \frac{\dot{P}}{|\dot{P}|} +\end{equation} +benötigt. Durch die Subtraktion der Ortsvektoren $\overrightarrow{OP}$ und $\overrightarrow{OA}$ entsteht ein Vektor der vom Punkt $P$ auf $A$ zeigt. +Da die Länge dieses Vektors beliebig sein kann, wird durch Division mit dem Betrag, die Länge auf eins festgelegt. +Aus dem Verfolgungsproblem ist auch ersichtlich, dass die Punkte $A$ und $P$ nicht am gleichen Ort starten und so eine Division durch Null ausgeschlossen ist. +Wenn die Punkte $A$ und $P$ trotzdem am gleichen Ort starten, ist die Lösung trivial. + +Nun wird die Gleichung mit deren rechten Seite skalar multipliziert, um das Gleichungssystem von zwei auf eine Gleichung zu reduzieren. +\begin{equation} + \label{pursuer:pursuerDGL} + \frac{A-P}{|A-P|}\cdot \frac{\dot{P}}{|\dot{P}|} + = + 1 +\end{equation} +Diese DGL ist der Kern des Verfolgungsproblems, insofern sich der Verfolger immer direkt auf sein Ziel zubewegt. + + +\subsection{Beispiel} +Das Verfolgungsproblem wird mithilfe eines konkreten Beispiels veranschaulicht. Dafür wird die einfachste Strategie verwendet, bei der sich der Verfolger direkt auf sein Ziel hinzu bewegt. Für dieses Problem wurde bereits die DGL \eqref{pursuer:pursuerDGL} hergeleitet. + +Um dieses Beispiel einfach zu halten, wird für den Verfolger und das Ziel jeweils eine konstante Geschwindigkeit von eins gewählt. Das Ziel wiederum startet im Ursprung und bewegt sich linear auf der positiven Y-Achse. + +\begin{align} + v_P^2 + &= + \dot{P}\cdot\dot{P} + = + 1 + \\[5pt] + v_A + &= + 1 + \\[5pt] + A + &= + \begin{pmatrix} + 0 \\ + v_A\cdot t + \end{pmatrix} + = + \begin{pmatrix} + 0 \\ + t + \end{pmatrix} + \\[5pt] + P + &= + \begin{pmatrix} + x \\ + y + \end{pmatrix} +\end{align} + +Die Anfangsbedingungen dieses Problems sind. + +\begin{align} + y(t)\bigg|_{t=0} + &= + y_0 + \\[5pt] + x(t)\bigg|_{t=0} + &= + x_0 \\[5pt] + \frac{\,dy}{\,dx}(t)\bigg|_{t=0} + &= + \frac{y_A(t) -y_P(t)}{x_A(t)-x_P(t)}\bigg|_{t=0} +\end{align} + +Mit den vorangegangenen Definitionen kann nun die DGL \eqref{pursuer:pursuerDGL} gelöst werden. +Dafür wird als erstes das Skalarprodukt ausgerechnet. + +\begin{equation} + \dfrac{-x\cdot\dot{x}+(t-y)\cdot\dot{y}}{\sqrt{x^2+(t-y)^2}} = 1 +\end{equation} + + + + + + + + + + Sed ut perspiciatis unde omnis iste natus error sit voluptatem accusantium doloremque laudantium, totam rem aperiam, eaque ipsa quae ab illo inventore veritatis et quasi architecto beatae vitae -- cgit v1.2.1 From dc51fe760249ea37d410599690df96c94f6d808d Mon Sep 17 00:00:00 2001 From: daHugen Date: Wed, 6 Apr 2022 11:36:23 +0200 Subject: made some changes in teil4.tex --- buch/papers/lambertw/teil4.tex | 22 ++++++++++++++++++---- 1 file changed, 18 insertions(+), 4 deletions(-) (limited to 'buch/papers') diff --git a/buch/papers/lambertw/teil4.tex b/buch/papers/lambertw/teil4.tex index 74b6b02..d3269ee 100644 --- a/buch/papers/lambertw/teil4.tex +++ b/buch/papers/lambertw/teil4.tex @@ -10,13 +10,15 @@ In diesem Abschnitt wird rechnerisch das Beispiel einer Verfolgungskurve beschre \subsection{Ziel bewegt sich auf einer Gerade \label{lambertw:subsection:malorum}} -Das zu verfolgende Ziel \(Z\) wandert auf einer Gerade, wobei diese Gerade der \(y\)-Achse entspricht. Der Verfolger \(V\) startet auf einem beliebigen Punkt auf dem ersten Quadrant. Diese Anfangspunkte oder Anfangsbedingungen können wie folgt formuliert werden: +Das zu verfolgende Ziel \(A\) wandert auf einer Gerade, wobei diese Gerade der \(y\)-Achse entspricht. Der Verfolger \(P\) startet auf einem beliebigen Punkt auf dem ersten Quadrant.Um die Rechnungen zu vereinfachen wir die Geschwindigkeit \(v\) auf 1 gesetzt. Diese Anfangspunkte oder Anfangsbedingungen können wie folgt formuliert werden: \begin{equation} - Z + A + = + \left( \begin{array}{c} 0 \\ v \cdot t \end{array} \right) = \left( \begin{array}{c} 0 \\ t \end{array} \right) ; - V + P = \left( \begin{array}{c} x \\ y \end{array} \right) \label{lambertw:equation2} @@ -53,7 +55,7 @@ Im nächsten Schritt quadriert man beide Seiten, erweitert den neu entstandenen (\dot{x}^2 - 1) \cdot x^2 - 2x(t-y) \dot{x} \dot{y} + (\dot{y}^2 - 1) \cdot (t-y)^2 &= 0 \end{align*} -Der letzte Ausdruck kann mittels folgender Beziehung \(\dot{x}^2 + \dot{y}^2 = 1\) vereinfacht werden und anschliessend mit \(-1\) multiplizieren: +Der letzte Ausdruck kann mittels folgender Beziehung \(\dot{x}^2 + \dot{y}^2 = 1\) vereinfacht werden, anschliessend wird die Gleichung mit \(-1\) multipliziert: \[ \underbrace{(\dot{x}^2 - 1)}_{\mathclap{-\dot{y}^2}} \cdot x^2 - 2x(t-y) \dot{x} \dot{y} + \underbrace{(\dot{y}^2 - 1)}_{\mathclap{-\dot{x}^2}} \cdot (t-y)^2 = 0 @@ -77,5 +79,17 @@ Wenn man nun beidseitig die Quadratwurzel zieht, dann ergibt sich im Vergleich z = 0 \label{lambertw:equation5} \end{equation} +Um die Ableitung nach der Zeit wegzubringen wird beidseitig mit \(\dot{x}\) dividiert, wobei \(\frac{\dot{y}}{\dot{x}} = \frac{dy}{dt}/\frac{dx}{dt} = \frac{dy}{dx}\) entspricht. +\[ + x \frac{\dot{y}}{\dot{x}} + (t-y) \frac{\dot{x}}{\dot{x}} + = 0 +\] +Nach dem kürzen ergibt sich folgende DGL: +\begin{equation} + x y^{\prime} + t - y + = 0 + \label{lambertw:equation6} +\end{equation} +Hier wäre es passend wenn man die Abhängigkeit nach \(t\) komplett wegbringen könnte. Um dies zu erreichen muss man -- cgit v1.2.1 From 5312bb1779adb029f6a115d0ea6fe065b4c878c0 Mon Sep 17 00:00:00 2001 From: daHugen Date: Mon, 18 Apr 2022 22:11:56 +0200 Subject: made some changes and added some things to teil4.txt --- buch/papers/lambertw/teil4.tex | 87 ++++++++++++++++++++++++++++++++++++++---- 1 file changed, 79 insertions(+), 8 deletions(-) (limited to 'buch/papers') diff --git a/buch/papers/lambertw/teil4.tex b/buch/papers/lambertw/teil4.tex index d3269ee..598a57e 100644 --- a/buch/papers/lambertw/teil4.tex +++ b/buch/papers/lambertw/teil4.tex @@ -21,7 +21,7 @@ Das zu verfolgende Ziel \(A\) wandert auf einer Gerade, wobei diese Gerade der \ P = \left( \begin{array}{c} x \\ y \end{array} \right) - \label{lambertw:equation2} + \label{lambertw:Anfangspunkte} \end{equation} Wenn man diese Startpunkte in die Gleichung der Verfolgungskurve einfügt ergibt sich folgender Ausdruck: \begin{equation} @@ -30,7 +30,7 @@ Wenn man diese Startpunkte in die Gleichung der Verfolgungskurve einfügt ergibt \left(\begin{array}{c} \dot{x} \\ \dot{y} \end{array}\right) = 1 - \label{lambertw:equation3} + \label{lambertw:eqMitAnfangspunkte} \end{equation} Macht man den linken Term Bruchfrei und löst das Skalarprodukt auf, dann ergibt sich folgende DGL: \[ @@ -42,7 +42,7 @@ Macht man den linken Term Bruchfrei und löst das Skalarprodukt auf, dann ergibt \begin{equation} -x \cdot \dot{x} + (t-y) \cdot \dot{y} = \sqrt{x^2 + (t-y)^2} - \label{lambertw:equation4} + \label{lambertw:eq1BspVerfolgKurve} \end{equation} Im nächsten Schritt quadriert man beide Seiten, erweitert den neu entstandenen quadratischen Term, bringt alles auf die linke Seite und klammert gemeinsames aus. \begin{align*} @@ -73,7 +73,7 @@ Im letzten Ausdruck erkennt man das Muster einer binomischen Formel, was den Aus (x \dot{y} + (t-y) \dot{x})^2 &= 0 \end{align*} -Wenn man nun beidseitig die Quadratwurzel zieht, dann ergibt sich im Vergleich zu \eqref{lambertw:equation4} eine wesentlich einfachere DGL: +Wenn man nun beidseitig die Quadratwurzel zieht, dann ergibt sich im Vergleich zu \eqref{lambertw:eq1BspVerfolgKurve} eine wesentlich einfachere DGL: \begin{equation} x \dot{y} + (t-y) \dot{x} = 0 @@ -88,8 +88,79 @@ Nach dem kürzen ergibt sich folgende DGL: \begin{equation} x y^{\prime} + t - y = 0 - \label{lambertw:equation6} + \label{lambertw:DGLmitT} \end{equation} -Hier wäre es passend wenn man die Abhängigkeit nach \(t\) komplett wegbringen könnte. Um dies zu erreichen muss man - - +Hier wäre es passend wenn man die Abhängigkeit nach \(t\) komplett wegbringen könnte. Um dies zu erreichen muss man auf die Definition der Bogenlänge aus Analysis 2 zurückgreifen: +\begin{equation} + s + = + v \cdot t + = + t + = + \int_{x_0}^{x_{end}}\sqrt{1+y^{\prime\, 2}} \: dx + \label{lambertw:eqZuBogenlaenge} +\end{equation} +Nicht gerade auffällig ist die Richtung in welche hier integriert wird. Wenn der Verfolger sich wie vorgesehen am Anfang im ersten Quadranten befindet, dann muss sich dieser nach links bewegen, was nicht der üblichen Integrationsrichtung entspricht. Um eine Integration wie üblich von links nach rechts ausführen zu können, müssen die Integrationsgenerzen vertauscht werden, was in einem Vorzeichenwechsel resultiert. Wenn man nun \eqref{lambertw:eqZuBogenlaenge} in die DGL \eqref{lambertw:DGLmitT} einfügt, dann ergibt sich folgender Ausdruck: +\begin{equation} + x y^{\prime} - \int\sqrt{1+y^{\prime\, 2}} \: dx - y + = 0 + \label{lambertw:DGLohneT} +\end{equation} +Um das Integral los zu werden, leitet man den vorherigen Ausdruck \eqref{lambertw:DGLohneT} nach \(x\) ab: +\begin{align*} + y^{\prime}+ xy^{\prime\prime} - \sqrt{1+y^{\prime\, 2}} - y^{\prime} + &= 0 \\ + xy^{\prime\prime} - \sqrt{1+y^{\prime\, 2}} + &= 0 +\end{align*} +Mittels der Substitution \(y^{\prime} = u\) kann vorherige DGL in eine erster Ordnung umgewandelt werden: +\begin{equation*} + xu^{\prime} - \sqrt{1+u^2} + = 0 + \label{lambertw:DGLmitU} +\end{equation*} +Welche mittels Separation gelöst werden kann: +\begin{align*} + arsinh(u) + C_L + &= + ln(x) + C_R \\ + arsinh(u) + &= + ln(x) + C \\ + u + &= + sinh(ln(x) + C) +\end{align*} +In dem man die Substitution rückgängig macht, erhält man eine weitere DGL erster Ordnung die bereits separiert ist: +\begin{equation} + y^{\prime} + = + sinh(ln(x) + C) +\end{equation} +Diese kann mit den selben Methoden gelöst werden, diesmal in Kombination mit der exponentiellen Definition der \(sinh\)-Funktion: +\begin{align*} + y + &= + \int sinh(ln(x) + C) \\ + &= + \int \frac{1}{2} (e^{ln(x)+C} - e^{-(ln(x)+C)}) \\ + &= + C_1 + C_2 x^2 - C_3 ln(x) +\end{align*} +Das Resultat wie ersichtlich ist folgende Funktion welche mittels Anfangsbedingungen parametrisiert werden kann: +\begin{equation} + y(x) + = + C_1 + C_2 x^2 - C_3 ln(x) + \label{lambertw:funkLoes} +\end{equation} +Für die Koeffizienten \(C_1, C_2\) und \(C_3\) ergibt sich ein Anfangswertproblem, welches für deren Bestimmung gelöst werden muss. Zuerst soll aber eine qualitative Intuition, oder Idee für das Aussehen der Funktion \(\bf{y(x)}\) geschaffen werden: +\begin{itemize} + \item + Für grosse \(x\)-Werte welche in der Regel in der Nähe von \(x_0\) sein sollten, ist der quadratisch Term in der Funktion dominant und somit für immer kleiner werdende \(x\) geht der Verfolger in Richtung \(y\)-Achse wobei seine Steigung stetig sinkt, was Sinn macht wenn der Verfolgte entlang der \(y\)-Achse steigt. + \item + Für \(x\)-Werte in der Nähe von \(0\) ist das asymptotische Verhalten des Logarithmus dominant, dies macht auch Sinn da sich der Verfolgte auf der \(y\)-Achse bewegt und der Verfolger im nachgeht. + \item + Aufgrund des Monotoniewechsels in der Kurve muss die Kurve auch ein Minimum aufweisen. Es stellt sich nun die Frage: Wo befindet sich dieser Punkt? Durch eine logische Überlegung kann eine Abschätzung darüber getroffen werden und zwar, dass dieser dann entsteht, wenn \(A\) und \(P\) die gleiche \(y\)-Koordinaten besitzen. In diesem Moment ändert die Richtung der \(y\)-Komponente der Geschwindigkeit und somit auch sein Vorzeichen. +\end{itemize} -- cgit v1.2.1 From 56cc6c1fbae271c16c78935384b52e047cdd6f27 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Patrik=20M=C3=BCller?= Date: Thu, 19 May 2022 16:11:27 +0200 Subject: Error correction & add gamma integrand plot --- buch/papers/laguerre/eigenschaften.tex | 11 ++++++++-- buch/papers/laguerre/gamma.tex | 4 ++-- buch/papers/laguerre/quadratur.tex | 6 +++--- buch/papers/laguerre/scripts/integrand.py | 34 +++++++++++++++++++++++++++++++ 4 files changed, 48 insertions(+), 7 deletions(-) create mode 100644 buch/papers/laguerre/scripts/integrand.py (limited to 'buch/papers') diff --git a/buch/papers/laguerre/eigenschaften.tex b/buch/papers/laguerre/eigenschaften.tex index b0cc3a3..93d19a3 100644 --- a/buch/papers/laguerre/eigenschaften.tex +++ b/buch/papers/laguerre/eigenschaften.tex @@ -25,13 +25,20 @@ Sturm\--Liouville\--Problem umwandeln können, haben wir bewiesen, dass es sich bei den Laguerre\--Polynomen um orthogonale Polynome handelt (siehe Abschnitt~\ref{buch:integrale:subsection:sturm-liouville-problem}). -Der Sturm-Liouville-Operator hat die Form +Der Sturm-Liouville-Operator \begin{align} S = \frac{1}{w(x)} \left(-\frac{d}{dx}p(x) \frac{d}{dx} + q(x) \right). \label{laguerre:slop} \end{align} +und der Laguerre-Operator +\begin{align} +\Lambda += +x \frac{d}{dx^2} + (\nu + 1 -x) \frac{d}{dx} +\end{align} +sind einander gleichzusetzen. Aus der Beziehung \begin{align} S @@ -56,7 +63,7 @@ Durch Separation erhalten wir dann \begin{align*} \int \frac{dp}{p} & = --\int \frac{\nu + 1 - x}{x}dx +-\int \frac{\nu + 1 - x}{x} \, dx \\ \log p & = diff --git a/buch/papers/laguerre/gamma.tex b/buch/papers/laguerre/gamma.tex index e3838b0..b15523b 100644 --- a/buch/papers/laguerre/gamma.tex +++ b/buch/papers/laguerre/gamma.tex @@ -30,12 +30,12 @@ welches alle Eigenschaften erfüllt, um mit der Gauss-Laguerre-Quadratur berechnet zu werden. \subsubsection{Funktionalgleichung} -Die Funktionalgleichung besagt +Die Funktionalgleichung der Gamma-Funktion besagt \begin{align} z \Gamma(z) = \Gamma(z+1). \label{laguerre:gamma_funktional} \end{align} -Mittels dieser Gleichung kann der Wert an einer bestimmten, +Mittels dieser Gleichung kann der Wert von $\Gamma(z)$ an einer bestimmten, geeigneten Stelle evaluiert werden und dann zurückverschoben werden, um das gewünschte Resultat zu erhalten. diff --git a/buch/papers/laguerre/quadratur.tex b/buch/papers/laguerre/quadratur.tex index 60fad7f..be69dee 100644 --- a/buch/papers/laguerre/quadratur.tex +++ b/buch/papers/laguerre/quadratur.tex @@ -7,7 +7,7 @@ \label{laguerre:section:quadratur}} {\large \color{red} TODO: Einleitung und kurze Beschreibung Gauss-Quadratur} \begin{align} -\int_a^b f(x) w(x) +\int_a^b f(x) w(x) \, dx \approx \sum_{i=1}^N f(x_i) A_i \label{laguerre:gaussquadratur} @@ -33,7 +33,7 @@ Gleichung~\eqref{laguerre:laguerrequadratur} lässt sich wiefolgt umformulieren: Nach der Definition der Gauss-Quadratur müssen als Stützstellen die Nullstellen des verwendeten Polynoms genommen werden. Das heisst für das Laguerre-Polynom $L_n$ müssen dessen Nullstellen $x_i$ und -als Gewichte $A_i$ werden die Integrale $l_i(x)e^{-x}$ verwendet werden. +als Gewichte $A_i$ die Integrale $l_i(x)e^{-x}$ verwendet werden. Dabei sind \begin{align*} l_i(x_j) @@ -57,7 +57,7 @@ A_i \subsubsection{Fehlerterm} Der Fehlerterm $R_n$ folgt direkt aus der Approximation \begin{align*} -\int_0^{\infty} f(x) e^{-x} dx +\int_0^{\infty} f(x) e^{-x} \, dx = \sum_{i=1}^n f(x_i) A_i + R_n \end{align*} diff --git a/buch/papers/laguerre/scripts/integrand.py b/buch/papers/laguerre/scripts/integrand.py new file mode 100644 index 0000000..89b9256 --- /dev/null +++ b/buch/papers/laguerre/scripts/integrand.py @@ -0,0 +1,34 @@ +#!/usr/bin/env python3 +# -*- coding:utf-8 -*- +"""Plot for integrand of gamma function with shifting terms.""" + +import os +from pathlib import Path + +import matplotlib.pyplot as plt +import numpy as np + +EPSILON = 1e-12 +xlims = np.array([-3, 3]) + +root = str(Path(__file__).parent) +img_path = f"{root}/../images" +os.makedirs(img_path, exist_ok=True) + +t = np.logspace(*xlims, 1001)[:, None] +z = np.arange(-5, 5)[None] + 0.5 + + +r = t ** z + +fig, ax = plt.subplots(num=1, clear=True, constrained_layout=True, figsize=(6, 4)) +ax.semilogx(t, r) +ax.set_xlim(*(10.**xlims)) +ax.set_ylim(1e-3, 40) +ax.set_xlabel(r"$t$") +ax.set_ylabel(r"$t^z$") +ax.grid(1, "both") +labels = [f"$z={zi:.1f}$" for zi in np.squeeze(z)] +ax.legend(labels, ncol=2, loc="upper left") +fig.savefig(f"{img_path}/integrands.pdf") +# plt.show() -- cgit v1.2.1 From 161adb15af8d10ccf6090a43a4c89b0d05c6ecda Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Patrik=20M=C3=BCller?= Date: Sat, 28 May 2022 16:16:52 +0200 Subject: Add introduction, integrand plot and reason why shifting evalutaion of gamma-func --- buch/papers/laguerre/definition.tex | 22 +- buch/papers/laguerre/eigenschaften.tex | 42 +- buch/papers/laguerre/gamma.tex | 21 +- buch/papers/laguerre/images/integrands.pgf | 2907 ++++++++++++++++++++ buch/papers/laguerre/images/integrands_exp.pgf | 2035 ++++++++++++++ buch/papers/laguerre/images/laguerre_polynomes.pdf | Bin 16239 -> 0 bytes buch/papers/laguerre/images/laguerre_polynomes.pgf | 1838 +++++++++++++ buch/papers/laguerre/main.tex | 16 +- buch/papers/laguerre/quadratur.tex | 2 +- buch/papers/laguerre/scripts/gamma_approx.ipynb | 98 +- buch/papers/laguerre/scripts/integrand.py | 24 +- buch/papers/laguerre/scripts/laguerre_plot.py | 5 +- 12 files changed, 6955 insertions(+), 55 deletions(-) create mode 100644 buch/papers/laguerre/images/integrands.pgf create mode 100644 buch/papers/laguerre/images/integrands_exp.pgf delete mode 100644 buch/papers/laguerre/images/laguerre_polynomes.pdf create mode 100644 buch/papers/laguerre/images/laguerre_polynomes.pgf (limited to 'buch/papers') diff --git a/buch/papers/laguerre/definition.tex b/buch/papers/laguerre/definition.tex index d111f6f..f1f0d00 100644 --- a/buch/papers/laguerre/definition.tex +++ b/buch/papers/laguerre/definition.tex @@ -118,6 +118,17 @@ L_n^\nu(x) \sum_{k=0}^{n} \frac{(-1)^k}{(\nu + 1)_k} \binom{n}{k} x^k. \label{laguerre:allg_polynom} \end{align} +Die Laguerre-Polynome von Grad $0$ bis $7$ sind in +Abbildung~\ref{laguerre:fig:polyeval} dargestellt. +\begin{figure} +\centering +\scalebox{0.8}{\input{papers/laguerre/images/laguerre_polynomes.pgf}} +% \includegraphics[width=0.7\textwidth]{% +% papers/laguerre/images/laguerre_polynomes.eps% +% } +\caption{Laguerre-Polynome vom Grad $0$ bis $7$} +\label{laguerre:fig:polyeval} +\end{figure} \subsection{Analytische Fortsetzung} Durch die analytische Fortsetzung erhalten wir zudem noch die zweite Lösung der @@ -142,16 +153,5 @@ L_n(x) \ln(x) \end{align*} wobei $\alpha_0 = 0$ und $\alpha_k =\sum_{i=1}^k i^{-1}$, $\forall k \in \mathbb{N}$. -Die Laguerre-Polynome von Grad $0$ bis $7$ sind in -Abbildung~\ref{laguerre:fig:polyeval} dargestellt. -\begin{figure} -\centering -\includegraphics[width=0.7\textwidth]{% - papers/laguerre/images/laguerre_polynomes.pdf% -} -\caption{Laguerre-Polynome vom Grad $0$ bis $7$} -\label{laguerre:fig:polyeval} -\end{figure} - % https://www.math.kit.edu/iana1/lehre/hm3phys2012w/media/laguerre.pdf % http://www.physics.okayama-u.ac.jp/jeschke_homepage/E4/kapitel4.pdf diff --git a/buch/papers/laguerre/eigenschaften.tex b/buch/papers/laguerre/eigenschaften.tex index 93d19a3..77b2a2c 100644 --- a/buch/papers/laguerre/eigenschaften.tex +++ b/buch/papers/laguerre/eigenschaften.tex @@ -3,20 +3,22 @@ % % (c) 2022 Patrik Müller, Ostschweizer Fachhochschule % -\section{Eigenschaften - \label{laguerre:section:eigenschaften}} -{ -\large \color{red} -TODO: -Evtl. nur Orthogonalität hier behandeln, da nur diese für die Gauss-Quadratur -benötigt wird. -} +% \section{Eigenschaften +% \label{laguerre:section:eigenschaften}} +% { +% \large \color{red} +% TODO: +% Evtl. nur Orthogonalität hier behandeln, da nur diese für die Gauss-Quadratur +% benötigt wird. +% } -Die Laguerre-Polynome besitzen einige interessante Eigenschaften -\rhead{Eigenschaften} +% Die Laguerre-Polynome besitzen einige interessante Eigenschaften +% \rhead{Eigenschaften} -\subsection{Orthogonalität - \label{laguerre:subsection:orthogonal}} +% \subsection{Orthogonalität +% \label{laguerre:subsection:orthogonal}} +\section{Orthogonalität + \label{laguerre:section:orthogonal}} Im Abschnitt~\ref{laguerre:section:definition} haben wir behauptet, dass die Laguerre-Polynome orthogonale Polynome sind. Zu dieser Behauptung möchten wir nun einen Beweis liefern. @@ -113,14 +115,14 @@ Für den rechten Rand ist die Bedingung (Gleichung~\eqref{laguerre:sllag_randb}) 0 \end{align*} für beliebige Polynomlösungen erfüllt für $k_\infty=0$ und $h_\infty=1$. -Damit können wir schlussfolgern, dass die Laguerre-Polynome orthogonal -bezüglich des Skalarproduktes auf dem Intervall $(0, \infty)$ mit der Laguerre\--Gewichtsfunktion -$w(x)=x^\nu e^{-x}$ sind. +Damit können wir schlussfolgern, dass die verallgemeinerten Laguerre-Polynome +orthogonal bezüglich des Skalarproduktes auf dem Intervall $(0, \infty)$ +mit der verallgemeinerten Laguerre\--Gewichtsfunktion $w(x)=x^\nu e^{-x}$ sind. +Die Laguerre-Polynome ($\nu=0$) sind somit orthognal im Intervall $(0, \infty)$ +mit der Gewichtsfunktion $w(x)=e^{-x}$. +% \subsection{Rodrigues-Formel} -\subsection{Rodrigues-Formel} - -\subsection{Drei-Terme Rekursion} - -\subsection{Beziehung mit der Hypergeometrischen Funktion} +% \subsection{Drei-Terme Rekursion} +% \subsection{Beziehung mit der Hypergeometrischen Funktion} diff --git a/buch/papers/laguerre/gamma.tex b/buch/papers/laguerre/gamma.tex index b15523b..59c0b81 100644 --- a/buch/papers/laguerre/gamma.tex +++ b/buch/papers/laguerre/gamma.tex @@ -26,8 +26,10 @@ Integral der Form , \label{laguerre:gamma} \end{align} -welches alle Eigenschaften erfüllt, um mit der Gauss-Laguerre-Quadratur -berechnet zu werden. +Der Term $e^{-t}$ ist genau die Gewichtsfunktion der Laguerre-Integration und +der Definitionsbereich passt ebenfalls genau für dieses Verfahren. +Zu erwähnen ist auch, dass für die verallgemeinerte Laguerre-Integration die +Gewichtsfunktion $t^\nu e^{-t}$ genau dem Integranden für $\nu=z-1$ entspricht. \subsubsection{Funktionalgleichung} Die Funktionalgleichung der Gamma-Funktion besagt @@ -39,6 +41,19 @@ Mittels dieser Gleichung kann der Wert von $\Gamma(z)$ an einer bestimmten, geeigneten Stelle evaluiert werden und dann zurückverschoben werden, um das gewünschte Resultat zu erhalten. +In Abbildung~\ref{laguerre:fig:integrand} ist der Integrand $t^z$ für +unterschiedliche Werte von $z$ dargestellt. +Man erkennt, dass für kleine $z$ sich ein singulärer Integrand ergibt, +was dazu führt, dass die Genauigkeit sich verschlechtert. +Die Genauigkeit verschlechtert sich aber auch zunehmends für grosse $z$, +da in diesem Fall der Integrand sehr schnell anwächst. +\begin{figure} +\centering +\scalebox{0.8}{\input{papers/laguerre/images/integrands.pgf}} +\caption{Integrand $t^z$ mit unterschiedlichen Werten für $z$} +\label{laguerre:fig:integrand} +\end{figure} + \subsection{Berechnung mittels Gauss-Laguerre-Quadratur} Fehlerterm: @@ -52,7 +67,7 @@ R_n Nun stellt sich die Frage, ob die Approximation mittels Gauss-Laguerre-Quadratur verbessert werden kann, wenn man das Problem an einer geeigneten Stelle evaluiert und -dann zurückverschiebt mit der Funktionalgleichung. +dann mit der Funktionalgleichung zurückverschiebt. Dazu wollen wir den Fehlerterm in Gleichung~\eqref{laguerre:lagurre:lag_error} anpassen und dann minimieren. Zunächst wollen wir dies nur für $z\in \mathbb{R}$ und $0.pgf} +%% +%% Make sure the required packages are loaded in your preamble +%% \usepackage{pgf} +%% +%% Also ensure that all the required font packages are loaded; for instance, +%% the lmodern package is sometimes necessary when using math font. +%% \usepackage{lmodern} +%% +%% Figures using additional raster images can only be included by \input if +%% they are in the same directory as the main LaTeX file. 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b/buch/papers/laguerre/images/integrands_exp.pgf @@ -0,0 +1,2035 @@ +%% Creator: Matplotlib, PGF backend +%% +%% To include the figure in your LaTeX document, write +%% \input{.pgf} +%% +%% Make sure the required packages are loaded in your preamble +%% \usepackage{pgf} +%% +%% Also ensure that all the required font packages are loaded; for instance, +%% the lmodern package is sometimes necessary when using math font. +%% \usepackage{lmodern} +%% +%% Figures using additional raster images can only be included by \input if +%% they are in the same directory as the main LaTeX file. For loading figures +%% from other directories you can use the `import` package +%% \usepackage{import} +%% +%% and then include the figures with +%% \import{}{.pgf} +%% +%% Matplotlib used the following preamble +%% \usepackage{fontspec} +%% \setmainfont{DejaVuSerif.ttf}[Path=\detokenize{/home/mup/.local/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}] +%% \setsansfont{DejaVuSans.ttf}[Path=\detokenize{/home/mup/.local/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}] +%% \setmonofont{DejaVuSansMono.ttf}[Path=\detokenize{/home/mup/.local/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}] +%% +\begingroup% +\makeatletter% +\begin{pgfpicture}% +\pgfpathrectangle{\pgfpointorigin}{\pgfqpoint{6.000000in}{4.000000in}}% +\pgfusepath{use as bounding box, clip}% +\begin{pgfscope}% +\pgfsetbuttcap% +\pgfsetmiterjoin% +\definecolor{currentfill}{rgb}{1.000000,1.000000,1.000000}% +\pgfsetfillcolor{currentfill}% +\pgfsetlinewidth{0.000000pt}% 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all the required font packages are loaded; for instance, +%% the lmodern package is sometimes necessary when using math font. +%% \usepackage{lmodern} +%% +%% Figures using additional raster images can only be included by \input if +%% they are in the same directory as the main LaTeX file. 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+für das Integral $\int_0^\infty exp(-x)\, dx$ suchte. +Darum möchten wir in diesem Kapitel uns, +ganz im Sinne des Entdeckers, +den Laguerre-Polynomen für Approximationen von Integralen mit +exponentiell-abfallenden Funktionen widmen. +Namentlich werden wir versuchen, +eine geeignete Approximation für die Gamma-Funktion zu finden +mittels Laguerre-Polynomen und der Gauss-Quadratur. + +Laguerre-Polynome tauchen zudem auch in der Quantenmechanik im radialen Anteil +der Lösung für die Schrödinger-Gleichung eines Wasserstoffatoms auf. \input{papers/laguerre/definition} \input{papers/laguerre/eigenschaften} diff --git a/buch/papers/laguerre/quadratur.tex b/buch/papers/laguerre/quadratur.tex index be69dee..f4e2955 100644 --- a/buch/papers/laguerre/quadratur.tex +++ b/buch/papers/laguerre/quadratur.tex @@ -21,7 +21,7 @@ In unserem Falle möchten wir die Gauss Quadratur auf die Laguerre-Polynome $L_n$ ausweiten. Diese sind orthogonal im Intervall $(0, \infty)$ bezüglich der Gewichtsfunktion $e^{-x}$. -Gleichung~\eqref{laguerre:laguerrequadratur} lässt sich wiefolgt umformulieren: +Gleichung~\eqref{laguerre:laguerrequadratur} lässt sich wie folgt umformulieren: \begin{align} \int_{0}^{\infty} f(x) e^{-x} dx \approx diff --git a/buch/papers/laguerre/scripts/gamma_approx.ipynb b/buch/papers/laguerre/scripts/gamma_approx.ipynb index 44f3abd..337b307 100644 --- a/buch/papers/laguerre/scripts/gamma_approx.ipynb +++ b/buch/papers/laguerre/scripts/gamma_approx.ipynb @@ -34,7 +34,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 112, "metadata": {}, "outputs": [], "source": [ @@ -48,7 +48,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 113, "metadata": {}, "outputs": [], "source": [ @@ -86,7 +86,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 114, "metadata": {}, "outputs": [], "source": [ @@ -150,7 +150,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 115, "metadata": {}, "outputs": [], "source": [ @@ -203,9 +203,22 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 116, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "zeros, weights = np.polynomial.laguerre.laggauss(12)\n", "targets = np.arange(16, 21)\n", @@ -241,9 +254,44 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 117, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "(-7.5, 25.0)" + ] + }, + "execution_count": 117, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "z = 0.5\n", "ns = [4, 5, 5, 6, 7, 8, 8, 9, 10, 11, 11, 12] # np.arange(4, 13)\n", diff --git a/buch/papers/laguerre/scripts/integrand.py b/buch/papers/laguerre/scripts/integrand.py index 89b9256..43fc1bf 100644 --- a/buch/papers/laguerre/scripts/integrand.py +++ b/buch/papers/laguerre/scripts/integrand.py @@ -16,19 +16,33 @@ img_path = f"{root}/../images" os.makedirs(img_path, exist_ok=True) t = np.logspace(*xlims, 1001)[:, None] -z = np.arange(-5, 5)[None] + 0.5 - +z = np.array([-4.5, -2, -1, -0.5, 0.0, 0.5, 1, 2, 4.5]) r = t ** z fig, ax = plt.subplots(num=1, clear=True, constrained_layout=True, figsize=(6, 4)) ax.semilogx(t, r) -ax.set_xlim(*(10.**xlims)) +ax.set_xlim(*(10.0 ** xlims)) ax.set_ylim(1e-3, 40) ax.set_xlabel(r"$t$") ax.set_ylabel(r"$t^z$") ax.grid(1, "both") labels = [f"$z={zi:.1f}$" for zi in np.squeeze(z)] ax.legend(labels, ncol=2, loc="upper left") -fig.savefig(f"{img_path}/integrands.pdf") -# plt.show() +fig.savefig(f"{img_path}/integrands.pgf") + +z2 = np.array([-1, -0.5, 0.0, 0.5, 1, 2, 3, 4, 4.5]) +r2 = t**z2 * np.exp(-t) + +fig2, ax2 = plt.subplots(num=2, clear=True, constrained_layout=True, figsize=(6, 4)) +ax2.semilogx(t, r2) +# ax2.plot(t,np.exp(-t)) +ax2.set_xlim(10**(-2), 20) +ax2.set_ylim(1e-3, 10) +ax2.set_xlabel(r"$t$") +ax2.set_ylabel(r"$t^z e^{-t}$") +ax2.grid(1, "both") +labels = [f"$z={zi:.1f}$" for zi in np.squeeze(z2)] +ax2.legend(labels, ncol=2, loc="upper left") +fig2.savefig(f"{img_path}/integrands_exp.pgf") +plt.show() diff --git a/buch/papers/laguerre/scripts/laguerre_plot.py b/buch/papers/laguerre/scripts/laguerre_plot.py index b9088d0..1be3552 100644 --- a/buch/papers/laguerre/scripts/laguerre_plot.py +++ b/buch/papers/laguerre/scripts/laguerre_plot.py @@ -29,7 +29,7 @@ fig, ax = plt.subplots(num=1, clear=True, constrained_layout=True, figsize=(6, 4 for n in np.arange(0, 8): k = np.arange(0, n + 1)[None] L = np.sum((-1) ** k * ss.binom(n, k) / ss.factorial(k) * t ** k, -1) - ax.plot(t, L, label=f"n={n}") + ax.plot(t, L, label=f"$n={n}$") ax.set_xticks(get_ticks(int(t[0]), t[-1]), minor=True) ax.set_xticks(get_ticks(0, t[-1], step)) @@ -97,4 +97,5 @@ ax.arrow( clip_on=False, ) -fig.savefig(f"{img_path}/laguerre_polynomes.pdf") +fig.savefig(f"{img_path}/laguerre_polynomes.pgf") +# plt.show() -- cgit v1.2.1 From 6149839224755c21225d2decddeae12207c2cbab Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Patrik=20M=C3=BCller?= Date: Tue, 31 May 2022 16:31:25 +0200 Subject: Add rule of thumb, analyse integrand, correct mistake in integration SLP<->LP --- buch/papers/laguerre/definition.tex | 2 +- buch/papers/laguerre/eigenschaften.tex | 20 +- buch/papers/laguerre/gamma.tex | 294 ++- buch/papers/laguerre/images/integrands.pgf | 1448 +++++----- buch/papers/laguerre/images/integrands_exp.pgf | 1323 +++++----- buch/papers/laguerre/images/rel_error_mirror.pgf | 3054 ++++++++++++++++++++++ buch/papers/laguerre/images/rel_error_simple.pgf | 2940 +++++++++++++++++++++ buch/papers/laguerre/images/rel_error_simple.png | Bin 0 -> 61966 bytes buch/papers/laguerre/images/schaetzung.pgf | 1160 ++++++++ buch/papers/laguerre/images/targets.pdf | Bin 0 -> 12940 bytes buch/papers/laguerre/quadratur.tex | 4 +- buch/papers/laguerre/references.bib | 9 + buch/papers/laguerre/scripts/gamma_approx.ipynb | 178 +- buch/papers/laguerre/scripts/gamma_approx.py | 197 ++ buch/papers/laguerre/scripts/integrand.py | 27 +- 15 files changed, 9063 insertions(+), 1593 deletions(-) create mode 100644 buch/papers/laguerre/images/rel_error_mirror.pgf create mode 100644 buch/papers/laguerre/images/rel_error_simple.pgf create mode 100644 buch/papers/laguerre/images/rel_error_simple.png create mode 100644 buch/papers/laguerre/images/schaetzung.pgf create mode 100644 buch/papers/laguerre/images/targets.pdf create mode 100644 buch/papers/laguerre/scripts/gamma_approx.py (limited to 'buch/papers') diff --git a/buch/papers/laguerre/definition.tex b/buch/papers/laguerre/definition.tex index f1f0d00..3e5d423 100644 --- a/buch/papers/laguerre/definition.tex +++ b/buch/papers/laguerre/definition.tex @@ -22,7 +22,7 @@ Die klassische Laguerre-Diffentialgleichung erhält man, wenn $\nu = 0$. Hier wird die verallgemeinerte Laguerre-Differentialgleichung verwendet, weil die Lösung mit der selben Methode berechnet werden kann, aber man zusätzlich die Lösung für den allgmeinen Fall erhält. -Zur Lösung der Gleichung \eqref{laguerre:dgl} verwenden wir einen +Zur Lösung von \eqref{laguerre:dgl} verwenden wir einen Potenzreihenansatz. Da wir bereits wissen, dass die Lösung orthogonale Polynome sind, erscheint dieser Ansatz sinnvoll. diff --git a/buch/papers/laguerre/eigenschaften.tex b/buch/papers/laguerre/eigenschaften.tex index 77b2a2c..9b901ae 100644 --- a/buch/papers/laguerre/eigenschaften.tex +++ b/buch/papers/laguerre/eigenschaften.tex @@ -22,25 +22,25 @@ Im Abschnitt~\ref{laguerre:section:definition} haben wir behauptet, dass die Laguerre-Polynome orthogonale Polynome sind. Zu dieser Behauptung möchten wir nun einen Beweis liefern. -Wenn wir die Laguerre\--Differentialgleichung in ein -Sturm\--Liouville\--Problem umwandeln können, haben wir bewiesen, dass es sich -bei -den Laguerre\--Polynomen um orthogonale Polynome handelt (siehe +Wenn wir \eqref{laguerre:dgl} in ein +Sturm-Liouville-Problem umwandeln können, haben wir bewiesen, dass es sich +bei den Laguerre-Polynomen um orthogonale Polynome handelt (siehe Abschnitt~\ref{buch:integrale:subsection:sturm-liouville-problem}). -Der Sturm-Liouville-Operator +Der Beweis kann äquivalent auch über den Sturm-Liouville-Operator \begin{align} S = \frac{1}{w(x)} \left(-\frac{d}{dx}p(x) \frac{d}{dx} + q(x) \right). \label{laguerre:slop} \end{align} -und der Laguerre-Operator +und den Laguerre-Operator \begin{align} \Lambda = x \frac{d}{dx^2} + (\nu + 1 -x) \frac{d}{dx} \end{align} -sind einander gleichzusetzen. +erhalten werden, +in dem wir diese Operatoren einander gleichsetzen. Aus der Beziehung \begin{align} S @@ -66,16 +66,18 @@ Durch Separation erhalten wir dann \int \frac{dp}{p} & = -\int \frac{\nu + 1 - x}{x} \, dx += +-\int \frac{\nu + 1}{x} \, dx - \int 1\, dx \\ \log p & = --\log \nu + 1 - x + C +-(\nu + 1)\log x - x + c \\ p(x) & = -C x^{\nu + 1} e^{-x} \end{align*} -Eingefügt in Gleichung~\eqref{laguerre:sl-lag} erhalten wir +Eingefügt in Gleichung~\eqref{laguerre:sl-lag} ergibt sich \begin{align*} \frac{C}{w(x)} \left( diff --git a/buch/papers/laguerre/gamma.tex b/buch/papers/laguerre/gamma.tex index 59c0b81..da2fa93 100644 --- a/buch/papers/laguerre/gamma.tex +++ b/buch/papers/laguerre/gamma.tex @@ -19,7 +19,7 @@ Integral der Form \begin{align} \Gamma(z) & = -\int_0^\infty t^{z-1} e^{-t} dt +\int_0^\infty x^{z-1} e^{-x} \, dx , \quad \text{wobei Realteil von $z$ grösser als $0$} @@ -32,54 +32,290 @@ Zu erwähnen ist auch, dass für die verallgemeinerte Laguerre-Integration die Gewichtsfunktion $t^\nu e^{-t}$ genau dem Integranden für $\nu=z-1$ entspricht. \subsubsection{Funktionalgleichung} -Die Funktionalgleichung der Gamma-Funktion besagt +Die Gamma-Funktion besitzt die gleiche Rekursionsbeziehung wie die Fakultät, +nämlich \begin{align} -z \Gamma(z) = \Gamma(z+1). +z \Gamma(z) += +\Gamma(z+1) +. \label{laguerre:gamma_funktional} \end{align} -Mittels dieser Gleichung kann der Wert von $\Gamma(z)$ an einer bestimmten, -geeigneten Stelle evaluiert werden und dann zurückverschoben werden, -um das gewünschte Resultat zu erhalten. -In Abbildung~\ref{laguerre:fig:integrand} ist der Integrand $t^z$ für -unterschiedliche Werte von $z$ dargestellt. -Man erkennt, dass für kleine $z$ sich ein singulärer Integrand ergibt, -was dazu führt, dass die Genauigkeit sich verschlechtert. -Die Genauigkeit verschlechtert sich aber auch zunehmends für grosse $z$, -da in diesem Fall der Integrand sehr schnell anwächst. +\subsubsection{Reflektionsformel} +Die Reflektionsformel +\begin{align} +\Gamma(z) \Gamma(1 - z) += +\frac{\pi}{\sin \pi z} +,\quad +\text{für } +z \notin \mathbb{Z} +\label{laguerre:gamma_refform} +\end{align} +stellt eine Beziehung zwischen den zwei Punkten, +die aus der Spiegelung an der Geraden $\operatorname{Re} z = 1/2$ hervorgehen, +her. +Dadurch lassen Werte der Gamma-Funktion sich für $z$ in der rechten Halbebene +leicht in die linke Halbebene übersetzen und umgekehrt. + +\subsection{Berechnung mittels Gauss-Laguerre-Quadratur} +In den vorherigen Abschnitten haben wir gesehen, +dass sich die Gamma-Funktion bestens für die Gauss-Laguerre-Quadratur eignet. +Nun bieten sich uns zwei Optionen diese zu berechnen: +\begin{enumerate} +\item Wir verwenden die verallgemeinerten Laguerre-Polynome, dann $f(x)=1$. +\item Wir verwenden die Laguerre-Polynome, dann $f(x)=x^{z-1}$. +\end{enumerate} +Die erste Variante wäre optimal auf das Problem angepasst, +allerdings müssten die Gewichte und Nullstellen für jedes $z$ +neu berechnet werden, +da sie per Definition von $z$ abhängen. +Dazu kommt, +dass die Berechnung der Gewichte $A_i$ nach \cite{Cassity1965AbcissasCA} +\begin{align*} +A_i += +\frac{ +\Gamma(n) \Gamma(n+\nu) +} +{ +(n+\nu) +\left[L_{n-1}^{\nu}(x_i)\right]^2 +} +\end{align*} +Evaluationen der Gamma-Funktion benötigen. +Somit scheint diese Methode nicht geeignet für unser Vorhaben. + +Bei der zweiten Variante benötigen wir keine Neuberechung der Gewichte +und Nullstellen für unterschiedliche $z$. +In \eqref{laguerre:quadratur_gewichte} ist ersichtlich, +dass die Gewichte einfach zu berechnen sind. +Auch die Nullstellen können vorgängig, +mittels eines geeigneten Verfahrens aus den Polynomen bestimmt werden. +Als problematisch könnte sich höchstens +die zu integrierende Funktion $f(x)=x^{z-1}$ für $|z| \gg 0$ erweisen. +Somit entscheiden wir uns auf Grund der vorherigen Punkte, +die zweite Variante weiterzuverfolgen. + +\subsubsection{Naiver Ansatz} + \begin{figure} \centering -\scalebox{0.8}{\input{papers/laguerre/images/integrands.pgf}} -\caption{Integrand $t^z$ mit unterschiedlichen Werten für $z$} -\label{laguerre:fig:integrand} +\input{papers/laguerre/images/rel_error_simple.pgf} +\caption{Relativer Fehler des naiven Ansatzes +für verschiedene reele Werte von $z$ und Grade $n$ der Laguerre-Polynome} +\label{laguerre:fig:rel_error_simple} \end{figure} -\subsection{Berechnung mittels Gauss-Laguerre-Quadratur} - -Fehlerterm: +Bevor wir die Gauss-Laguerre-Quadratur anwenden, +möchten wir als erstes eine Fehlerabschätzung durchführen. +Für den Fehlerterm \eqref{laguerre:lag_error} wird die $2n$-te Ableitung +der zu integrierenden Funktion $f(\xi)$ benötigt. +Für das Integral der Gamma-Funktion ergibt sich also +\begin{align*} +\frac{d^{2n}}{d\xi^{2n}} f(\xi) + & = +\frac{d^{2n}}{d\xi^{2n}} \xi^{z-1} +\\ + & = +(z - 2n)_{2n} \xi^{z - 2n - 1} +\end{align*} +Eingesetzt im Fehlerterm \eqref{laguerre:lag_error} resultiert \begin{align*} R_n = (z - 2n)_{2n} \frac{(n!)^2}{(2n)!} \xi^{z-2n-1} +, +\label{laguerre:gamma_err_simple} \end{align*} +wobei $\xi$ ein geeigneter Wert im Interval $(0, \infty)$ ist +und $n$ der Grad des verwendeten Laguerre-Polynoms. +Eine Fehlerabschätzung mit dem Fehlerterm stellt sich als unnütz heraus, +da $R_n$ für $z < 2n - 1$ bei $\xi \rightarrow 0$ eine Singularität aufweist +und für $z > 2n - 1$ bei $\xi \rightarrow \infty$ divergiert. +Nur für den unwahrscheinlichen Fall $ z = 2n - 1$ +wäre eine Fehlerabschätzung plausibel. + +Wenden wir nun also naiv die Gauss-Laguerre-Quadratur auf die Gammafunktion an. +Dazu benötigen wir die Gewichte nach +\eqref{laguerre:quadratur_gewichte} +und als Stützstellen die Nullstellen des Laguerre-Polynomes $L_n$. +Evaluieren wir den relativen Fehler unserer Approximation zeigt sich ein +Bild wie in Abbildung~\ref{laguerre:fig:rel_error_simple}. +Man kann sehen, +wie der relative Fehler Nullstellen aufweist für ganzzahlige $z < 2n$, +was laut der Theorie der Gauss-Quadratur auch zu erwarten ist, +denn die Approximation via Gauss-Quadratur +ist exakt für zu integrierende Polynome mit Grad $< 2n-1$. +Es ist ersichtlich, +dass sich für den Polynomgrad $n$ ein Interval gibt, +in dem der relative Fehler minimal ist. +Links steigt der relative Fehler besonders stark an, +während er auf der rechten Seite zu konvergieren scheint. +Um die linke Hälfte in den Griff zu bekommen, +könnten wir die Reflektionsformel der Gamma-Funktion ausnutzen. + +\begin{figure} +\centering +\input{papers/laguerre/images/rel_error_mirror.pgf} +\caption{Relativer Fehler des naiven Ansatz mit Spiegelung negativer Realwerte +für verschiedene reele Werte von $z$ und Grade $n$ der Laguerre-Polynome} +\label{laguerre:fig:rel_error_mirror} +\end{figure} + +Spiegelt man nun $z$ mit negativem Realteil mittels der Reflektionsformel, +ergibt sich ein stabilerer Fehler in der linken Hälfte, +wie in Abbildung~\ref{laguerre:fig:rel_error_mirror}. +Die Spiegelung bringt nur für wenige Werte einen, +für praktische Anwendungen geeigneten, +relativen Fehler. +Wie wir aber in Abbildung~\ref{laguerre:fig:rel_error_simple} sehen konnten, +gibt es für jeden Polynomgrad $n$ ein Intervall $[a, a+1]$, $a \in \mathbb{Z}$, +in welchem der relative Fehler minimal ist. +Die Funktionalgleichung der Gamma-Funktion \eqref{laguerre:gamma_funktional} +könnte uns hier helfen, +das Problem in den Griff zu bekommen. + +\subsubsection{Analyse des Integranden} +Wie wir im vorherigen Abschnitt gesehen haben, +scheint der Integrand problematisch. +Darum möchten wir jetzt den Integranden analysieren, +um ihn besser verstehen zu können +und dadurch geeignete Gegenmassnahmen zu entwickeln. + +% Dieser Abschnitt soll eine grafisches Verständnis dafür schaffen, +% wieso der Integrand so problematisch ist. +% Was das heisst sollte in Abbildung~\ref{laguerre:fig:integrand} +% und Abbildung~\ref{laguerre:fig:integrand_exp} grafisch dargestellt werden. + +\begin{figure} +\centering +\input{papers/laguerre/images/integrands.pgf} +\caption{Integrand $x^z$ mit unterschiedlichen Werten für $z$} +\label{laguerre:fig:integrand} +\end{figure} + +In Abbildung~\ref{laguerre:fig:integrand} ist der Integrand $x^z$ für +unterschiedliche Werte von $z$ dargestellt. +Dies entspricht der zu integrierenden Funktion $f(x)$ +der Gauss-Laguerre-Quadratur für die Gamma-Funktion- +Man erkennt, +dass für kleine $z$ sich ein singulärer Integrand ergibt +und auch für grosse $z$ wächst der Integrand sehr schnell an. +Das heisst, +die Ableitungen im Fehlerterm divergieren noch schneller +und das wirkt sich negativ auf die Genauigkeit der Approximation aus. +Somit lässt sich hier sagen, +dass kleine Exponenten um $0$ genauere Resultate liefern sollten. + +\begin{figure} +\centering +\input{papers/laguerre/images/integrands_exp.pgf} +\caption{Integrand $x^z e^{-x}$ mit unterschiedlichen Werten für $z$} +\label{laguerre:fig:integrand_exp} +\end{figure} + +In Abbildung~\ref{laguerre:fig:integrand_exp} fügen wir +die Dämpfung der Gewichtsfunktion $w(x)$ +der Gauss-Laguerre-Quadratur wieder hinzu +und erhalten so wieder den kompletten Integranden $x^{z-1} e^{-x}$ +der Gamma-Funktion. +Für negative $z$ ergeben sich immer noch Singularitäten, +wenn $x \rightarrow 0$. +Um $1$ wächst der Term $x^z$ schneller als die Dämpfung $e^{-x}$, +aber für $x \rightarrow \infty$ geht der Integrand gegen $0$. +Das führt zu Glockenförmigen Kurven, +die für grosse Exponenten $z$ nach der Stelle $x=1$ schnell anwachsen. +Zu grosse Exponenten $z$ sind also immer noch problematisch. +Kleine positive $z$ scheinen nun also auch zulässig zu sein. +Damit formulieren wir die Vermutung, +dass $a$, +welches das Intervall $[a,a+1]$ definiert, +in dem der relative Fehler minimal ist, +grösser als $0$ und abhängig von $n$ ist. \subsubsection{Finden der optimalen Berechnungsstelle} +% Mittels der Funktionalgleichung \eqref{laguerre:gamma_funktional} +% kann der Wert von $\Gamma(z)$ im Interval $z \in [a,a+1]$, +% in dem der relative Fehler minimal ist, +% evaluiert werden und dann mit der Funktionalgleichung zurückverschoben werden. Nun stellt sich die Frage, ob die Approximation mittels Gauss-Laguerre-Quadratur verbessert werden kann, -wenn man das Problem an einer geeigneten Stelle evaluiert und -dann mit der Funktionalgleichung zurückverschiebt. -Dazu wollen wir den Fehlerterm in -Gleichung~\eqref{laguerre:lagurre:lag_error} anpassen und dann minimieren. -Zunächst wollen wir dies nur für $z\in \mathbb{R}$ und $0.pgf} +%% +%% Make sure the required packages are loaded in your preamble +%% \usepackage{pgf} +%% +%% Also ensure that all the required font packages are loaded; for instance, +%% the lmodern package is sometimes necessary when using math font. +%% \usepackage{lmodern} +%% +%% Figures using additional raster images can only be included by \input if +%% they are in the same directory as the main LaTeX file. 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For loading figures +%% from other directories you can use the `import` package +%% \usepackage{import} +%% +%% and then include the figures with +%% \import{}{.pgf} +%% +%% Matplotlib used the following preamble +%% \usepackage{fontspec} +%% \setmainfont{DejaVuSerif.ttf}[Path=\detokenize{/home/mup/.local/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}] +%% \setsansfont{DejaVuSans.ttf}[Path=\detokenize{/home/mup/.local/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}] +%% \setmonofont{DejaVuSansMono.ttf}[Path=\detokenize{/home/mup/.local/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}] +%% +\begingroup% +\makeatletter% +\begin{pgfpicture}% +\pgfpathrectangle{\pgfpointorigin}{\pgfqpoint{5.000000in}{2.500000in}}% +\pgfusepath{use as bounding box, clip}% +\begin{pgfscope}% +\pgfsetbuttcap% +\pgfsetmiterjoin% +\definecolor{currentfill}{rgb}{1.000000,1.000000,1.000000}% +\pgfsetfillcolor{currentfill}% +\pgfsetlinewidth{0.000000pt}% 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differ diff --git a/buch/papers/laguerre/images/schaetzung.pgf b/buch/papers/laguerre/images/schaetzung.pgf new file mode 100644 index 0000000..873a10c --- /dev/null +++ b/buch/papers/laguerre/images/schaetzung.pgf @@ -0,0 +1,1160 @@ +%% Creator: Matplotlib, PGF backend +%% +%% To include the figure in your LaTeX document, write +%% \input{.pgf} +%% +%% Make sure the required packages are loaded in your preamble +%% \usepackage{pgf} +%% +%% Also ensure that all the required font packages are loaded; for instance, +%% the lmodern package is sometimes necessary when using math font. +%% \usepackage{lmodern} +%% +%% Figures using additional raster images can only be included by \input if +%% they are in the same directory as the main LaTeX file. For loading figures +%% from other directories you can use the `import` package +%% \usepackage{import} +%% +%% and then include the figures with +%% \import{}{.pgf} +%% +%% Matplotlib used the following preamble +%% \usepackage{fontspec} +%% \setmainfont{DejaVuSerif.ttf}[Path=\detokenize{/home/mup/.local/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}] +%% \setsansfont{DejaVuSans.ttf}[Path=\detokenize{/home/mup/.local/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}] +%% \setmonofont{DejaVuSansMono.ttf}[Path=\detokenize{/home/mup/.local/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}] +%% +\begingroup% +\makeatletter% +\begin{pgfpicture}% +\pgfpathrectangle{\pgfpointorigin}{\pgfqpoint{5.000000in}{4.000000in}}% +\pgfusepath{use as bounding box, clip}% +\begin{pgfscope}% +\pgfsetbuttcap% +\pgfsetmiterjoin% +\definecolor{currentfill}{rgb}{1.000000,1.000000,1.000000}% +\pgfsetfillcolor{currentfill}% +\pgfsetlinewidth{0.000000pt}% 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files /dev/null and b/buch/papers/laguerre/images/targets.pdf differ diff --git a/buch/papers/laguerre/quadratur.tex b/buch/papers/laguerre/quadratur.tex index f4e2955..b5ad316 100644 --- a/buch/papers/laguerre/quadratur.tex +++ b/buch/papers/laguerre/quadratur.tex @@ -61,14 +61,14 @@ Der Fehlerterm $R_n$ folgt direkt aus der Approximation = \sum_{i=1}^n f(x_i) A_i + R_n \end{align*} -un \cite{abramowitz+stegun} gibt in als +und \cite{abramowitz+stegun} gibt ihn als \begin{align} R_n = \frac{(n!)^2}{(2n)!} f^{(2n)}(\xi) ,\quad 0 < \xi < \infty -\label{lagurre:lag_error} +\label{laguerre:lag_error} \end{align} an. diff --git a/buch/papers/laguerre/references.bib b/buch/papers/laguerre/references.bib index 6956ade..e12e218 100644 --- a/buch/papers/laguerre/references.bib +++ b/buch/papers/laguerre/references.bib @@ -19,4 +19,13 @@ timestamp = {2008-06-25T06:25:58.000+0200}, title = {Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables}, year = 1972 +} + +@article{Cassity1965AbcissasCA, + title={Abcissas, coefficients, and error term for the generalized Gauss-Laguerre quadrature formula using the zero ordinate}, + author={C. Ronald Cassity}, + journal={Mathematics of Computation}, + year={1965}, + volume={19}, + pages={287-296} } \ No newline at end of file diff --git a/buch/papers/laguerre/scripts/gamma_approx.ipynb b/buch/papers/laguerre/scripts/gamma_approx.ipynb index 337b307..a8280aa 100644 --- a/buch/papers/laguerre/scripts/gamma_approx.ipynb +++ b/buch/papers/laguerre/scripts/gamma_approx.ipynb @@ -34,7 +34,7 @@ }, { "cell_type": "code", - "execution_count": 112, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -48,7 +48,7 @@ }, { "cell_type": "code", - "execution_count": 113, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -86,7 +86,7 @@ }, { "cell_type": "code", - "execution_count": 114, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -136,21 +136,24 @@ "def laguerre_gamma(z, x, w, target=11):\n", " # res = 0.0\n", " z = complex(z)\n", - " if z.real < 1e-3:\n", - " res = pi / (\n", - " sin(pi * z) * laguerre_gamma(1 - z, x, w, target)\n", - " ) # Reflection formula\n", - " else:\n", - " z_shifted, correction_factor = find_shift(z, target)\n", - " res = np.sum(x ** (z_shifted - 1) * w)\n", - " res *= correction_factor\n", + " # if z.real < 1e-3:\n", + " # res = pi / (\n", + " # sin(pi * z) * laguerre_gamma(1 - z, x, w, target)\n", + " # ) # Reflection formula\n", + " # else:\n", + " # z_shifted, correction_factor = find_shift(z, target)\n", + " # res = np.sum(x ** (z_shifted - 1) * w)\n", + " # res *= correction_factor\n", + " z_shifted, correction_factor = find_shift(z, target)\n", + " res = np.sum(x ** (z_shifted - 1) * w)\n", + " res *= correction_factor\n", " res = drop_imag(res)\n", " return res\n" ] }, { "cell_type": "code", - "execution_count": 115, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -203,26 +206,13 @@ }, { "cell_type": "code", - "execution_count": 116, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "zeros, weights = np.polynomial.laguerre.laggauss(12)\n", - "targets = np.arange(16, 21)\n", - "mean_targets = ((16, 17),)\n", + "zeros, weights = np.polynomial.laguerre.laggauss(8)\n", + "targets = np.arange(9, 14)\n", + "mean_targets = ((9, 10),)\n", "x = np.linspace(EPSILON, 1 - EPSILON, 101)\n", "_, axs = plt.subplots(\n", " 2, sharex=True, clear=True, constrained_layout=True, figsize=(12, 12)\n", @@ -239,7 +229,7 @@ "maxs = []\n", "for target in targets:\n", " rel_error = evaluate(x, target)\n", - " mins.append(np.min(np.abs(rel_error[(0.1 <= x) & (x <= 0.9)])))\n", + " mins.append(np.min(np.abs(rel_error[(0.05 <= x) & (x <= 0.95)])))\n", " maxs.append(np.max(np.abs(rel_error)))\n", " axs[0].plot(x, rel_error, label=target)\n", " axs[1].semilogy(x, np.abs(rel_error), label=target)\n", @@ -254,44 +244,9 @@ }, { "cell_type": "code", - "execution_count": 117, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(-7.5, 25.0)" - ] - }, - "execution_count": 117, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", 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", 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", 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", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "z = 0.5\n", "ns = [4, 5, 5, 6, 7, 8, 8, 9, 10, 11, 11, 12] # np.arange(4, 13)\n", @@ -439,6 +368,59 @@ "# _ = ax.legend([f\"z={zi}\" for zi in z[0]])\n", "# _ = [ax.axvline(x) for x in zeros]\n" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "bests = []\n", + "N = 200\n", + "step = 1 / (N - 1)\n", + "a = 11 / 8\n", + "b = 1 / 2\n", + "x = np.linspace(step, 1 - step, N + 1)\n", + "ns = np.arange(2, 13)\n", + "for n in ns:\n", + " zeros, weights = np.polynomial.laguerre.laggauss(n)\n", + " est = np.ceil(b + a * n)\n", + " targets = np.arange(max(est - 2, 0), est + 3)\n", + " rel_errors = np.stack([np.abs(evaluate(x, target)) for target in targets], -1)\n", + " best = np.argmin(rel_errors, -1) + targets[0]\n", + " bests.append(best)\n", + "bests = np.stack(bests, 0)\n", + "\n", + "fig, ax = plt.subplots(clear=True, constrained_layout=True, figsize=(5, 3))\n", + "v = ax.imshow(bests, cmap=\"inferno\", aspect=\"auto\")\n", + "plt.colorbar(v, ax=ax, label=r'$m$')\n", + "ticks = np.arange(0, N + 1, 10)\n", + "ax.set_xlim(0, 1)\n", + "ax.set_xticks(ticks, [f\"{v:.2f}\" for v in ticks / N])\n", + "ax.set_xticks(np.arange(N + 1), minor=True)\n", + "ax.set_yticks(np.arange(len(ns)), ns)\n", + "ax.set_xlabel(r\"$z$\")\n", + "ax.set_ylabel(r\"$n$\")\n", + "# for best in bests:\n", + "# print(\", \".join([f\"{int(b):2d}\" for b in best]))\n", + "# print(np.unique(bests, return_counts=True))\n", + "\n", + "targets = np.mean(bests, -1)\n", + "intercept, bias = np.polyfit(ns, targets, 1)\n", + "_, axs2 = plt.subplots(2, sharex=True, clear=True, constrained_layout=True)\n", + "xl = np.array([1, ns[-1] + 1])\n", + "axs2[0].plot(ns, intercept * ns + bias)\n", + "axs2[0].plot(ns, targets, \"x\")\n", + "axs2[1].plot(ns, ((intercept * ns + bias) - targets), \"-x\")\n", + "print(np.mean(bests, -1))\n", + "print(f\"Intercept={intercept:.6g}, Bias={bias:.6g}\")\n", + "\n", + "\n", + "predicts = np.ceil(intercept * ns[:, None] + bias - x)\n", + "print(np.sum(np.abs(bests-predicts)))\n", + "# for best in predicts:\n", + "# print(\", \".join([f\"{int(b):2d}\" for b in best]))\n" + ] } ], "metadata": { diff --git a/buch/papers/laguerre/scripts/gamma_approx.py b/buch/papers/laguerre/scripts/gamma_approx.py new file mode 100644 index 0000000..90843b1 --- /dev/null +++ b/buch/papers/laguerre/scripts/gamma_approx.py @@ -0,0 +1,197 @@ +from pathlib import Path + +import matplotlib as mpl +import matplotlib.pyplot as plt +import numpy as np +import scipy.special + +EPSILON = 1e-7 +root = str(Path(__file__).parent) +img_path = f"{root}/../images" + + +def _prep_zeros_and_weights(x, w, n): + if x is None or w is None: + return np.polynomial.laguerre.laggauss(n) + return x, w + + +def drop_imag(z): + if abs(z.imag) <= EPSILON: + z = z.real + return z + + +def pochhammer(z, n): + return np.prod(z + np.arange(n)) + + +def find_shift(z, target): + factor = 1.0 + steps = int(np.floor(target - np.real(z))) + zs = z + steps + if steps > 0: + factor = 1 / pochhammer(z, steps) + elif steps < 0: + factor = pochhammer(zs, -steps) + return zs, factor + + +def laguerre_gamma_shift(z, x=None, w=None, n=8, target=11): + x, w = _prep_zeros_and_weights(x, w, n) + + z += 0j + z_shifted, correction_factor = find_shift(z, target) + res = np.sum(x ** (z_shifted - 1) * w) + res *= correction_factor + res = drop_imag(res) + return res + + +def laguerre_gamma_simple(z, x=None, w=None, n=8): + x, w = _prep_zeros_and_weights(x, w, n) + z += 0j + res = np.sum(x ** (z - 1) * w) + res = drop_imag(res) + return res + + +def laguerre_gamma_mirror(z, x=None, w=None, n=8): + x, w = _prep_zeros_and_weights(x, w, n) + z += 0j + if z.real < 1e-3: + return np.pi / ( + np.sin(np.pi * z) * laguerre_gamma_simple(1 - z, x, w) + ) # Reflection formula + return laguerre_gamma_simple(z, x, w) + + +def eval_laguerre_gamma(z, x=None, w=None, n=8, func="simple", **kwargs): + x, w = _prep_zeros_and_weights(x, w, n) + if func == "simple": + f = laguerre_gamma_simple + elif func == "mirror": + f = laguerre_gamma_mirror + else: + f = laguerre_gamma_shift + return np.array([f(zi, x, w, n, **kwargs) for zi in z]) + + +def calc_rel_error(x, y): + return (y - x) / x + + +ns = np.arange(2, 12, 2) + +# Simple / naive +xmin = -5 +xmax = 30 +ylim = np.array([-11, 6]) +x = np.linspace(xmin + EPSILON, xmax - EPSILON, 400) +gamma = scipy.special.gamma(x) +fig, ax = plt.subplots(num=1, clear=True, constrained_layout=True, figsize=(5, 2.5)) +for n in ns: + gamma_lag = eval_laguerre_gamma(x, n=n) + rel_err = calc_rel_error(gamma, gamma_lag) + ax.semilogy(x, np.abs(rel_err), label=f"$n={n}$") +ax.set_xlim(x[0], x[-1]) +ax.set_ylim(*(10.0 ** ylim)) +ax.set_xticks(np.arange(xmin, xmax + EPSILON, 5)) +ax.set_xticks(np.arange(xmin, xmax), minor=True) +ax.set_yticks(10.0 ** np.arange(*ylim, 2)) +ax.set_yticks(10.0 ** np.arange(*ylim, 2)) +ax.set_xlabel(r"$z$") +ax.set_ylabel("Relativer Fehler") +ax.legend(ncol=3, fontsize="small") +ax.grid(1, "both") +fig.savefig(f"{img_path}/rel_error_simple.pgf") + + +# Mirrored +xmin = -15 +xmax = 15 +ylim = np.array([-11, 1]) +x = np.linspace(xmin + EPSILON, xmax - EPSILON, 400) +gamma = scipy.special.gamma(x) +fig2, ax2 = plt.subplots(num=2, clear=True, constrained_layout=True, figsize=(5, 2.5)) +for n in ns: + gamma_lag = eval_laguerre_gamma(x, n=n, func="mirror") + rel_err = calc_rel_error(gamma, gamma_lag) + ax2.semilogy(x, np.abs(rel_err), label=f"$n={n}$") +ax2.set_xlim(x[0], x[-1]) +ax2.set_ylim(*(10.0 ** ylim)) +ax2.set_xticks(np.arange(xmin, xmax + EPSILON, 5)) +ax2.set_xticks(np.arange(xmin, xmax), minor=True) +ax2.set_yticks(10.0 ** np.arange(*ylim, 2)) +# locmin = mpl.ticker.LogLocator(base=10.0,subs=0.1*np.arange(1,10),numticks=100) +# ax2.yaxis.set_minor_locator(locmin) +# ax2.yaxis.set_minor_formatter(mpl.ticker.NullFormatter()) +ax2.set_xlabel(r"$z$") +ax2.set_ylabel("Relativer Fehler") +ax2.legend(ncol=1, loc="upper left", fontsize="small") +ax2.grid(1, "both") +fig2.savefig(f"{img_path}/rel_error_mirror.pgf") + + +# Move to target +bests = [] +N = 200 +step = 1 / (N - 1) +a = 11 / 8 +b = 1 / 2 +x = np.linspace(step, 1 - step, N + 1) +gamma = scipy.special.gamma(x)[:, None] +ns = np.arange(2, 13) +for n in ns: + zeros, weights = np.polynomial.laguerre.laggauss(n) + est = np.ceil(b + a * n) + targets = np.arange(max(est - 2, 0), est + 3) + gamma_lag = np.stack( + [ + eval_laguerre_gamma(x, target=target, x=zeros, w=weights, func="shifted") + for target in targets + ], + -1, + ) + rel_error = np.abs(calc_rel_error(gamma, gamma_lag)) + best = np.argmin(rel_error, -1) + targets[0] + bests.append(best) +bests = np.stack(bests, 0) + +fig3, ax3 = plt.subplots(num=3, clear=True, constrained_layout=True, figsize=(5, 3)) +v = ax3.imshow(bests, cmap="inferno", aspect="auto", interpolation="nearest") +plt.colorbar(v, ax=ax3, label=r"$m$") +ticks = np.arange(0, N + 1, N // 5) +ax3.set_xlim(0, 1) +ax3.set_xticks(ticks, [f"{v:.2f}" for v in ticks / N]) +ax3.set_xticks(np.arange(0, N + 1, N // 20), minor=True) +ax3.set_yticks(np.arange(len(ns)), ns) +ax3.set_xlabel(r"$z$") +ax3.set_ylabel(r"$n$") +fig3.savefig(f"{img_path}/targets.pdf") + +targets = np.mean(bests, -1) +intercept, bias = np.polyfit(ns, targets, 1) +fig4, axs4 = plt.subplots( + 2, num=4, sharex=True, clear=True, constrained_layout=True, figsize=(5, 4) +) +xl = np.array([ns[0] - 0.5, ns[-1] + 0.5]) +axs4[0].plot(xl, intercept * xl + bias, label=r"$\hat{m}$") +axs4[0].plot(ns, targets, "x", label=r"$\bar{m}$") +axs4[1].plot( + ns, ((intercept * ns + bias) - targets), "-x", label=r"$\hat{m} - \bar{m}$" +) +axs4[0].set_xlim(*xl) +# axs4[0].set_title("Schätzung von Mittelwert") +# axs4[1].set_title("Fehler") +axs4[-1].set_xlabel(r"$z$") +for ax in axs4: + ax.grid(1) + ax.legend() +fig4.savefig(f"{img_path}/schaetzung.pgf") + +print(f"Intercept={intercept:.6g}, Bias={bias:.6g}") +predicts = np.ceil(intercept * ns[:, None] + bias - x) +print(f"Error: {int(np.sum(np.abs(bests-predicts)))}") + +# plt.show() diff --git a/buch/papers/laguerre/scripts/integrand.py b/buch/papers/laguerre/scripts/integrand.py index 43fc1bf..0cf43d1 100644 --- a/buch/papers/laguerre/scripts/integrand.py +++ b/buch/papers/laguerre/scripts/integrand.py @@ -20,29 +20,30 @@ t = np.logspace(*xlims, 1001)[:, None] z = np.array([-4.5, -2, -1, -0.5, 0.0, 0.5, 1, 2, 4.5]) r = t ** z -fig, ax = plt.subplots(num=1, clear=True, constrained_layout=True, figsize=(6, 4)) +fig, ax = plt.subplots(num=1, clear=True, constrained_layout=True, figsize=(5, 3)) ax.semilogx(t, r) ax.set_xlim(*(10.0 ** xlims)) ax.set_ylim(1e-3, 40) -ax.set_xlabel(r"$t$") -ax.set_ylabel(r"$t^z$") +ax.set_xlabel(r"$x$") +ax.set_ylabel(r"$x^z$") ax.grid(1, "both") -labels = [f"$z={zi:.1f}$" for zi in np.squeeze(z)] -ax.legend(labels, ncol=2, loc="upper left") +labels = [f"$z={zi: 3.1f}$" for zi in np.squeeze(z)] +ax.legend(labels, ncol=2, loc="upper left", fontsize="small") fig.savefig(f"{img_path}/integrands.pgf") z2 = np.array([-1, -0.5, 0.0, 0.5, 1, 2, 3, 4, 4.5]) -r2 = t**z2 * np.exp(-t) +e = np.exp(-t) +r2 = t ** z2 * e -fig2, ax2 = plt.subplots(num=2, clear=True, constrained_layout=True, figsize=(6, 4)) +fig2, ax2 = plt.subplots(num=2, clear=True, constrained_layout=True, figsize=(5, 3)) ax2.semilogx(t, r2) # ax2.plot(t,np.exp(-t)) -ax2.set_xlim(10**(-2), 20) +ax2.set_xlim(10 ** (-2), 20) ax2.set_ylim(1e-3, 10) -ax2.set_xlabel(r"$t$") -ax2.set_ylabel(r"$t^z e^{-t}$") +ax2.set_xlabel(r"$x$") +ax2.set_ylabel(r"$x^z e^{-x}$") ax2.grid(1, "both") -labels = [f"$z={zi:.1f}$" for zi in np.squeeze(z2)] -ax2.legend(labels, ncol=2, loc="upper left") +labels =[f"$z={zi: 3.1f}$" for zi in np.squeeze(z2)] +ax2.legend(labels, ncol=2, loc="upper left", fontsize="small") fig2.savefig(f"{img_path}/integrands_exp.pgf") -plt.show() +# plt.show() -- cgit v1.2.1 From b2f6c58490cd3517d1a813e1b51b4e2aafc945a0 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Patrik=20M=C3=BCller?= Date: Thu, 2 Jun 2022 08:09:02 +0200 Subject: Add relative error plots with shift --- buch/papers/laguerre/scripts/gamma_approx.ipynb | 205 +++++++++++++++++++++--- buch/papers/laguerre/scripts/gamma_approx.py | 97 +++++++++-- 2 files changed, 269 insertions(+), 33 deletions(-) (limited to 'buch/papers') diff --git a/buch/papers/laguerre/scripts/gamma_approx.ipynb b/buch/papers/laguerre/scripts/gamma_approx.ipynb index a8280aa..82adca6 100644 --- a/buch/papers/laguerre/scripts/gamma_approx.ipynb +++ b/buch/papers/laguerre/scripts/gamma_approx.ipynb @@ -34,7 +34,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 73, "metadata": {}, "outputs": [], "source": [ @@ -48,7 +48,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 74, "metadata": {}, "outputs": [], "source": [ @@ -86,7 +86,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 75, "metadata": {}, "outputs": [], "source": [ @@ -132,10 +132,42 @@ " factor = pochhammer(zs, -steps)\n", " return zs, factor\n", "\n", + "def find_optimal_shift(z, n):\n", + " mhat = 1.34093 * n + 0.854093\n", + " steps = int(np.ceil(mhat - np.real(z)))-1\n", + " return steps\n", + "\n", + "\n", + "def get_shifting_factor(z, steps):\n", + " zs = z + steps\n", + " factor = 1.0\n", + " if steps > 0:\n", + " factor = 1 / pochhammer(z, steps)\n", + " elif steps < 0:\n", + " factor = pochhammer(zs, -steps)\n", + " return factor\n", + "\n", + "\n", + "def laguerre_gamma_shift(z, x, w):\n", + " z = complex(z)\n", + " n = len(x)\n", + "\n", + " z += 0j\n", + " # z_shifted, correction_factor = find_shift(z, target)\n", + " opt_shift = find_optimal_shift(z, n)\n", + " correction_factor = get_shifting_factor(z, opt_shift)\n", + " z_shifted = z + opt_shift\n", + "\n", + " res = np.sum(x ** (z_shifted - 1) * w)\n", + " res *= correction_factor\n", + " res = drop_imag(res)\n", + " return res\n", + "\n", "\n", "def laguerre_gamma(z, x, w, target=11):\n", " # res = 0.0\n", " z = complex(z)\n", + " n = len(x)\n", " # if z.real < 1e-3:\n", " # res = pi / (\n", " # sin(pi * z) * laguerre_gamma(1 - z, x, w, target)\n", @@ -144,7 +176,13 @@ " # z_shifted, correction_factor = find_shift(z, target)\n", " # res = np.sum(x ** (z_shifted - 1) * w)\n", " # res *= correction_factor\n", + " \n", " z_shifted, correction_factor = find_shift(z, target)\n", + " \n", + " # opt_shift = find_optimal_shift(z, n)\n", + " # correction_factor = get_shifting_factor(z, opt_shift)\n", + " # z_shifted = z + opt_shift\n", + " \n", " res = np.sum(x ** (z_shifted - 1) * w)\n", " res *= correction_factor\n", " res = drop_imag(res)\n", @@ -153,7 +191,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 76, "metadata": {}, "outputs": [], "source": [ @@ -161,6 +199,10 @@ " return np.array([laguerre_gamma(xi, zeros, weights, target) for xi in x])\n", "\n", "\n", + "def eval_laguerre2(x):\n", + " return np.array([laguerre_gamma_shift(xi, zeros, weights) for xi in x])\n", + "\n", + "\n", "def eval_lanczos(x):\n", " return np.array([lanczos_gamma(xi) for xi in x])\n", "\n", @@ -177,6 +219,12 @@ " lanczos_gammas = eval_lanczos(x)\n", " laguerre_gammas = eval_laguerre(x, target)\n", " rel_error = calc_rel_error(lanczos_gammas, laguerre_gammas)\n", + " return rel_error\n", + "\n", + "def evaluate2(x):\n", + " lanczos_gammas = eval_lanczos(x)\n", + " laguerre_gammas = eval_laguerre2(x)\n", + " rel_error = calc_rel_error(lanczos_gammas, laguerre_gammas)\n", " return rel_error\n" ] }, @@ -206,9 +254,22 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 87, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "zeros, weights = np.polynomial.laguerre.laggauss(8)\n", "targets = np.arange(9, 14)\n", @@ -219,11 +280,11 @@ ")\n", "\n", "lanczos = eval_lanczos(x)\n", - "for mean_target in mean_targets:\n", - " vals = eval_mean_laguerre(x, mean_target)\n", - " rel_error_mean = calc_rel_error(lanczos, vals)\n", - " axs[0].plot(x, rel_error_mean, label=mean_target)\n", - " axs[1].semilogy(x, np.abs(rel_error_mean), label=mean_target)\n", + "# for mean_target in mean_targets:\n", + "# vals = eval_mean_laguerre(x, mean_target)\n", + "# rel_error_mean = calc_rel_error(lanczos, vals)\n", + "# axs[0].plot(x, rel_error_mean, label=mean_target)\n", + "# axs[1].semilogy(x, np.abs(rel_error_mean), label=mean_target)\n", "\n", "mins = []\n", "maxs = []\n", @@ -233,6 +294,11 @@ " maxs.append(np.max(np.abs(rel_error)))\n", " axs[0].plot(x, rel_error, label=target)\n", " axs[1].semilogy(x, np.abs(rel_error), label=target)\n", + " \n", + "rel_error = evaluate2(x)\n", + "axs[0].plot(x, rel_error, label=\"Optimal shift\")\n", + "axs[1].semilogy(x, np.abs(rel_error), label=\"Optimal shift\")\n", + "\n", "# axs[0].set_ylim(*(np.array([-1, 1]) * 3.5e-8))\n", "\n", "axs[0].set_xlim(x[0], x[-1])\n", @@ -244,9 +310,44 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 82, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "(-7.5, 25.0)" + ] + }, + "execution_count": 82, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "targets = (16, 17)\n", "xmax = 15\n", @@ -256,6 +357,7 @@ "lanczos = eval_lanczos(x)\n", "rel_error = calc_rel_error(lanczos, mean_lag)\n", "rel_error_simple = evaluate(x, targets[-1])\n", + "rel_error_opt = evaluate2(x)\n", "# rel_error = evaluate(x, target)\n", "\n", "_, axs = plt.subplots(\n", @@ -265,6 +367,8 @@ "axs[1].semilogy(x, np.abs(rel_error), label=targets)\n", "axs[0].plot(x, rel_error_simple, label=targets[-1])\n", "axs[1].semilogy(x, np.abs(rel_error_simple), label=targets[-1])\n", + "axs[0].plot(x, rel_error_opt, label=\"Optimal\")\n", + "axs[1].semilogy(x, np.abs(rel_error_opt), label=\"Optimal\")\n", "axs[0].set_xlim(x[0], x[-1])\n", "# axs[0].set_ylim(*(np.array([-1, 1]) * 4.2e-8))\n", "# axs[1].set_ylim(1e-10, 5e-8)\n", @@ -287,9 +391,22 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 79, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "z = 0.5\n", "ns = [4, 5, 5, 6, 7, 8, 8, 9, 10, 11, 11, 12] # np.arange(4, 13)\n", @@ -371,9 +501,44 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 81, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[ 3.53233831 4.88557214 6.2238806 7.56716418 8.90547264 10.23383085\n", + " 11.5721393 12.91044776 14.23880597 15.57711443 17. ]\n", + "Intercept=1.34093, Bias=0.854093\n", + "35.0\n" + ] + }, + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "bests = []\n", "N = 200\n", @@ -442,7 +607,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.10" + "version": "3.8.3" }, "orig_nbformat": 4 }, diff --git a/buch/papers/laguerre/scripts/gamma_approx.py b/buch/papers/laguerre/scripts/gamma_approx.py index 90843b1..9c8f3ee 100644 --- a/buch/papers/laguerre/scripts/gamma_approx.py +++ b/buch/papers/laguerre/scripts/gamma_approx.py @@ -37,11 +37,42 @@ def find_shift(z, target): return zs, factor -def laguerre_gamma_shift(z, x=None, w=None, n=8, target=11): +def find_optimal_shift(z, n): + mhat = 1.34093 * n + 0.854093 + steps = int(np.ceil(mhat - np.real(z))) - 1 + return steps + + +def get_shifting_factor(z, steps): + if steps > 0: + factor = 1 / pochhammer(z, steps) + elif steps < 0: + factor = pochhammer(z + steps, -steps) + return factor + + +def laguerre_gamma_shifted(z, x=None, w=None, n=8, target=11): x, w = _prep_zeros_and_weights(x, w, n) + n = len(x) z += 0j z_shifted, correction_factor = find_shift(z, target) + + res = np.sum(x ** (z_shifted - 1) * w) + res *= correction_factor + res = drop_imag(res) + return res + + +def laguerre_gamma_opt_shifted(z, x=None, w=None, n=8): + x, w = _prep_zeros_and_weights(x, w, n) + n = len(x) + + z += 0j + opt_shift = find_optimal_shift(z, n) + correction_factor = get_shifting_factor(z, opt_shift) + z_shifted = z + opt_shift + res = np.sum(x ** (z_shifted - 1) * w) res *= correction_factor res = drop_imag(res) @@ -72,8 +103,10 @@ def eval_laguerre_gamma(z, x=None, w=None, n=8, func="simple", **kwargs): f = laguerre_gamma_simple elif func == "mirror": f = laguerre_gamma_mirror + elif func == "optimal_shifted": + f = laguerre_gamma_opt_shifted else: - f = laguerre_gamma_shift + f = laguerre_gamma_shifted return np.array([f(zi, x, w, n, **kwargs) for zi in z]) @@ -81,11 +114,10 @@ def calc_rel_error(x, y): return (y - x) / x -ns = np.arange(2, 12, 2) - # Simple / naive xmin = -5 xmax = 30 +ns = np.arange(2, 12, 2) ylim = np.array([-11, 6]) x = np.linspace(xmin + EPSILON, xmax - EPSILON, 400) gamma = scipy.special.gamma(x) @@ -104,7 +136,7 @@ ax.set_xlabel(r"$z$") ax.set_ylabel("Relativer Fehler") ax.legend(ncol=3, fontsize="small") ax.grid(1, "both") -fig.savefig(f"{img_path}/rel_error_simple.pgf") +# fig.savefig(f"{img_path}/rel_error_simple.pgf") # Mirrored @@ -130,7 +162,7 @@ ax2.set_xlabel(r"$z$") ax2.set_ylabel("Relativer Fehler") ax2.legend(ncol=1, loc="upper left", fontsize="small") ax2.grid(1, "both") -fig2.savefig(f"{img_path}/rel_error_mirror.pgf") +# fig2.savefig(f"{img_path}/rel_error_mirror.pgf") # Move to target @@ -163,12 +195,14 @@ v = ax3.imshow(bests, cmap="inferno", aspect="auto", interpolation="nearest") plt.colorbar(v, ax=ax3, label=r"$m$") ticks = np.arange(0, N + 1, N // 5) ax3.set_xlim(0, 1) -ax3.set_xticks(ticks, [f"{v:.2f}" for v in ticks / N]) +ax3.set_xticks(ticks) +ax3.set_xticklabels([f"{v:.2f}" for v in ticks / N]) ax3.set_xticks(np.arange(0, N + 1, N // 20), minor=True) -ax3.set_yticks(np.arange(len(ns)), ns) +ax3.set_yticks(np.arange(len(ns))) +ax3.set_yticklabels(ns) ax3.set_xlabel(r"$z$") ax3.set_ylabel(r"$n$") -fig3.savefig(f"{img_path}/targets.pdf") +# fig3.savefig(f"{img_path}/targets.pdf") targets = np.mean(bests, -1) intercept, bias = np.polyfit(ns, targets, 1) @@ -178,9 +212,7 @@ fig4, axs4 = plt.subplots( xl = np.array([ns[0] - 0.5, ns[-1] + 0.5]) axs4[0].plot(xl, intercept * xl + bias, label=r"$\hat{m}$") axs4[0].plot(ns, targets, "x", label=r"$\bar{m}$") -axs4[1].plot( - ns, ((intercept * ns + bias) - targets), "-x", label=r"$\hat{m} - \bar{m}$" -) +axs4[1].plot(ns, ((intercept * ns + bias) - targets), "-x", label=r"$\hat{m} - \bar{m}$") axs4[0].set_xlim(*xl) # axs4[0].set_title("Schätzung von Mittelwert") # axs4[1].set_title("Fehler") @@ -188,10 +220,49 @@ axs4[-1].set_xlabel(r"$z$") for ax in axs4: ax.grid(1) ax.legend() -fig4.savefig(f"{img_path}/schaetzung.pgf") +# fig4.savefig(f"{img_path}/schaetzung.pgf") print(f"Intercept={intercept:.6g}, Bias={bias:.6g}") predicts = np.ceil(intercept * ns[:, None] + bias - x) print(f"Error: {int(np.sum(np.abs(bests-predicts)))}") +# Comparison relative error between methods +N = 200 +step = 1 / (N - 1) +x = np.linspace(step, 1 - step, N + 1) +gamma = scipy.special.gamma(x)[:, None] +n = 8 +targets = np.arange(10, 14) +gamma = scipy.special.gamma(x) +fig5, ax5 = plt.subplots(num=1, clear=True, constrained_layout=True) +for target in targets: + gamma_lag = eval_laguerre_gamma(x, target=target, n=n, func="shifted") + rel_error = np.abs(calc_rel_error(gamma, gamma_lag)) + ax5.semilogy(x, rel_error, label=f"$m={target}$") +gamma_lgo = eval_laguerre_gamma(x, n=n, func="optimal_shifted") +rel_error = np.abs(calc_rel_error(gamma, gamma_lgo)) +ax5.semilogy(x, rel_error, label="$m^*$") +ax5.set_xlim(x[0], x[-1]) +ax5.set_ylim(5e-9, 5e-8) +ax5.set_xlabel(r"$z$") +ax5.grid(1, "both") +ax5.legend() +fig5.savefig(f"{img_path}/rel_error_shifted.pgf") + +N = 200 +x = np.linspace(-5+ EPSILON, 5-EPSILON, N) +gamma = scipy.special.gamma(x)[:, None] +n = 8 +gamma = scipy.special.gamma(x) +fig6, ax6 = plt.subplots(num=1, clear=True, constrained_layout=True) +gamma_lgo = eval_laguerre_gamma(x, n=n, func="optimal_shifted") +rel_error = np.abs(calc_rel_error(gamma, gamma_lgo)) +ax6.semilogy(x, rel_error, label="$m^*$") +ax6.set_xlim(x[0], x[-1]) +ax6.set_ylim(5e-9, 5e-8) +ax6.set_xlabel(r"$z$") +ax6.grid(1, "both") +ax6.legend() +fig6.savefig(f"{img_path}/rel_error_range.pgf") + # plt.show() -- cgit v1.2.1 From 85e7d741f78ca0874b42db5cfbd18f4c28a933b3 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Patrik=20M=C3=BCller?= Date: Thu, 2 Jun 2022 15:23:21 +0200 Subject: Add presentation --- buch/papers/laguerre/definition.tex | 3 + buch/papers/laguerre/gamma.tex | 2 +- buch/papers/laguerre/images/estimate.pgf | 1160 +++++++++++++++++ buch/papers/laguerre/images/gammaplot.pdf | Bin 0 -> 23297 bytes buch/papers/laguerre/images/rel_error_range.pgf | 887 +++++++++++++ buch/papers/laguerre/images/rel_error_shifted.pgf | 1329 ++++++++++++++++++++ buch/papers/laguerre/images/schaetzung.pgf | 1160 ----------------- buch/papers/laguerre/images/targets.pdf | Bin 12940 -> 12940 bytes buch/papers/laguerre/main.tex | 2 +- buch/papers/laguerre/presentation/presentation.tex | 134 ++ .../laguerre/presentation/sections/gamma.tex | 50 + .../presentation/sections/gamma_approx.tex | 176 +++ .../laguerre/presentation/sections/gaussquad.tex | 67 + .../laguerre/presentation/sections/laguerre.tex | 88 ++ buch/papers/laguerre/scripts/gamma_approx.py | 36 +- 15 files changed, 3919 insertions(+), 1175 deletions(-) create mode 100644 buch/papers/laguerre/images/estimate.pgf create mode 100644 buch/papers/laguerre/images/gammaplot.pdf create mode 100644 buch/papers/laguerre/images/rel_error_range.pgf create mode 100644 buch/papers/laguerre/images/rel_error_shifted.pgf delete mode 100644 buch/papers/laguerre/images/schaetzung.pgf create mode 100644 buch/papers/laguerre/presentation/presentation.tex create mode 100644 buch/papers/laguerre/presentation/sections/gamma.tex create mode 100644 buch/papers/laguerre/presentation/sections/gamma_approx.tex create mode 100644 buch/papers/laguerre/presentation/sections/gaussquad.tex create mode 100644 buch/papers/laguerre/presentation/sections/laguerre.tex (limited to 'buch/papers') diff --git a/buch/papers/laguerre/definition.tex b/buch/papers/laguerre/definition.tex index 3e5d423..e511f43 100644 --- a/buch/papers/laguerre/definition.tex +++ b/buch/papers/laguerre/definition.tex @@ -18,6 +18,9 @@ x \in \mathbb{R} . \label{laguerre:dgl} \end{align} +Spannenderweise wurde die verallgemeinerte Laguerre-Differentialgleichung +zuerst von Yacovlevich Sonine (1849 - 1915) beschrieben, +aber auf Grund ihrer Ähnlichkeit wurde sie nach Laguerre benannt. Die klassische Laguerre-Diffentialgleichung erhält man, wenn $\nu = 0$. Hier wird die verallgemeinerte Laguerre-Differentialgleichung verwendet, weil die Lösung mit der selben Methode berechnet werden kann, diff --git a/buch/papers/laguerre/gamma.tex b/buch/papers/laguerre/gamma.tex index da2fa93..a04ec47 100644 --- a/buch/papers/laguerre/gamma.tex +++ b/buch/papers/laguerre/gamma.tex @@ -295,7 +295,7 @@ m^* \begin{figure} \centering -\input{papers/laguerre/images/schaetzung.pgf} +\input{papers/laguerre/images/estimate.pgf} \caption{Schätzung Mittelwert von $m$ und Fehler} \label{laguerre:fig:schaetzung} \end{figure} diff --git a/buch/papers/laguerre/images/estimate.pgf b/buch/papers/laguerre/images/estimate.pgf new file mode 100644 index 0000000..3d11371 --- /dev/null +++ b/buch/papers/laguerre/images/estimate.pgf @@ -0,0 +1,1160 @@ +%% Creator: Matplotlib, PGF backend +%% +%% To include the figure in your LaTeX document, write +%% \input{.pgf} +%% +%% Make sure the required packages are loaded in your preamble +%% \usepackage{pgf} +%% +%% Also ensure that all the required font packages are loaded; for instance, +%% the lmodern package is sometimes necessary when using math font. +%% \usepackage{lmodern} +%% +%% Figures using additional raster images can only be included by \input if +%% they are in the same directory as the main LaTeX file. For loading figures +%% from other directories you can use the `import` package +%% \usepackage{import} +%% +%% and then include the figures with +%% \import{}{.pgf} +%% +%% Matplotlib used the following preamble +%% \usepackage{fontspec} +%% \setmainfont{DejaVuSerif.ttf}[Path=\detokenize{/home/mup/.local/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}] +%% \setsansfont{DejaVuSans.ttf}[Path=\detokenize{/home/mup/.local/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}] +%% \setmonofont{DejaVuSansMono.ttf}[Path=\detokenize{/home/mup/.local/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}] +%% +\begingroup% +\makeatletter% +\begin{pgfpicture}% +\pgfpathrectangle{\pgfpointorigin}{\pgfqpoint{5.000000in}{4.000000in}}% +\pgfusepath{use as bounding box, clip}% +\begin{pgfscope}% +\pgfsetbuttcap% +\pgfsetmiterjoin% +\definecolor{currentfill}{rgb}{1.000000,1.000000,1.000000}% +\pgfsetfillcolor{currentfill}% +\pgfsetlinewidth{0.000000pt}% 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Binary files /dev/null and b/buch/papers/laguerre/images/gammaplot.pdf differ diff --git a/buch/papers/laguerre/images/rel_error_range.pgf b/buch/papers/laguerre/images/rel_error_range.pgf new file mode 100644 index 0000000..ff73501 --- /dev/null +++ b/buch/papers/laguerre/images/rel_error_range.pgf @@ -0,0 +1,887 @@ +%% Creator: Matplotlib, PGF backend +%% +%% To include the figure in your LaTeX document, write +%% \input{.pgf} +%% +%% Make sure the required packages are loaded in your preamble +%% \usepackage{pgf} +%% +%% Also ensure that all the required font packages are loaded; for instance, +%% the lmodern package is sometimes necessary when using math font. +%% \usepackage{lmodern} +%% +%% Figures using additional raster images can only be included by \input if +%% they are in the same directory as the main LaTeX file. For loading figures +%% from other directories you can use the `import` package +%% \usepackage{import} +%% +%% and then include the figures with +%% \import{}{.pgf} +%% +%% Matplotlib used the following preamble +%% \usepackage{fontspec} +%% \setmainfont{DejaVuSerif.ttf}[Path=\detokenize{/home/mup/.local/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}] +%% \setsansfont{DejaVuSans.ttf}[Path=\detokenize{/home/mup/.local/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}] +%% \setmonofont{DejaVuSansMono.ttf}[Path=\detokenize{/home/mup/.local/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}] +%% +\begingroup% +\makeatletter% +\begin{pgfpicture}% +\pgfpathrectangle{\pgfpointorigin}{\pgfqpoint{6.400000in}{4.800000in}}% +\pgfusepath{use as bounding box, clip}% +\begin{pgfscope}% +\pgfsetbuttcap% +\pgfsetmiterjoin% +\definecolor{currentfill}{rgb}{1.000000,1.000000,1.000000}% +\pgfsetfillcolor{currentfill}% +\pgfsetlinewidth{0.000000pt}% 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sometimes necessary when using math font. +%% \usepackage{lmodern} +%% +%% Figures using additional raster images can only be included by \input if +%% they are in the same directory as the main LaTeX file. For loading figures +%% from other directories you can use the `import` package +%% \usepackage{import} +%% +%% and then include the figures with +%% \import{}{.pgf} +%% +%% Matplotlib used the following preamble +%% \usepackage{fontspec} +%% \setmainfont{DejaVuSerif.ttf}[Path=\detokenize{/home/mup/.local/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}] +%% \setsansfont{DejaVuSans.ttf}[Path=\detokenize{/home/mup/.local/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}] +%% \setmonofont{DejaVuSansMono.ttf}[Path=\detokenize{/home/mup/.local/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}] +%% +\begingroup% +\makeatletter% +\begin{pgfpicture}% +\pgfpathrectangle{\pgfpointorigin}{\pgfqpoint{6.400000in}{4.800000in}}% +\pgfusepath{use as bounding box, clip}% +\begin{pgfscope}% +\pgfsetbuttcap% +\pgfsetmiterjoin% +\definecolor{currentfill}{rgb}{1.000000,1.000000,1.000000}% +\pgfsetfillcolor{currentfill}% +\pgfsetlinewidth{0.000000pt}% 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a/buch/papers/laguerre/images/targets.pdf and b/buch/papers/laguerre/images/targets.pdf differ diff --git a/buch/papers/laguerre/main.tex b/buch/papers/laguerre/main.tex index 9f836ef..f4263de 100644 --- a/buch/papers/laguerre/main.tex +++ b/buch/papers/laguerre/main.tex @@ -12,7 +12,7 @@ benannt nach Edmond Laguerre (1834 - 1886), sind Lösungen der ebenfalls nach Laguerre benannten Differentialgleichung. Laguerre entdeckte diese Polynome als er Approximationsmethoden -für das Integral $\int_0^\infty exp(-x)\, dx$ suchte. +für das Integral $\int_0^\infty \exp(-x) / x \, dx$ suchte. Darum möchten wir in diesem Kapitel uns, ganz im Sinne des Entdeckers, den Laguerre-Polynomen für Approximationen von Integralen mit diff --git a/buch/papers/laguerre/presentation/presentation.tex b/buch/papers/laguerre/presentation/presentation.tex new file mode 100644 index 0000000..f49cf1e --- /dev/null +++ b/buch/papers/laguerre/presentation/presentation.tex @@ -0,0 +1,134 @@ +\documentclass[ngerman, aspectratio=169, xcolor={rgb}]{beamer} + +% style +\mode{ + \usetheme{Frankfurt} +} +%packages +\usepackage[utf8]{inputenc}\DeclareUnicodeCharacter{2212}{-} +\usepackage[ngerman]{babel} +\usepackage{graphicx} +\usepackage{array} + +\newcolumntype{L}[1]{>{\raggedright\let\newline\\\arraybackslash\hspace{0pt}}m{#1}} +\usepackage{ragged2e} + +\usepackage{bm} % bold math +\usepackage{amsfonts} +\usepackage{amssymb} +\usepackage{mathtools} +\usepackage{amsmath} +\usepackage{multirow} % multi row in tables +\usepackage{booktabs} %toprule midrule bottomrue in tables +\usepackage{scrextend} +\usepackage{textgreek} +\usepackage[rgb]{xcolor} + +\usepackage{ marvosym } % \Lightning + +\usepackage{multimedia} % embedded videos + +\usepackage{tikz} +\usepackage{pgf} +\usepackage{pgfplots} + +\usepackage{algorithmic} + +%citations +\usepackage[style=verbose,backend=biber]{biblatex} +\addbibresource{references.bib} + + +%math font +\usefonttheme[onlymath]{serif} + +%Beamer Template modifications +%\definecolor{mainColor}{HTML}{0065A3} % HSR blue +\definecolor{mainColor}{HTML}{D72864} % OST pink +\definecolor{invColor}{HTML}{28d79b} % OST pink +\definecolor{dgreen}{HTML}{38ad36} % Dark green + +%\definecolor{mainColor}{HTML}{000000} % HSR blue +\setbeamercolor{palette primary}{bg=white,fg=mainColor} +\setbeamercolor{palette secondary}{bg=orange,fg=mainColor} +\setbeamercolor{palette tertiary}{bg=yellow,fg=red} +\setbeamercolor{palette quaternary}{bg=mainColor,fg=white} %bg = Top bar, fg = active top bar topic +\setbeamercolor{structure}{fg=black} % itemize, enumerate, etc (bullet points) +\setbeamercolor{section in toc}{fg=black} % TOC sections +\setbeamertemplate{section in toc}[sections numbered] +\setbeamertemplate{subsection in toc}{% + \hspace{1.2em}{$\bullet$}~\inserttocsubsection\par} + +\setbeamertemplate{itemize items}[circle] +\setbeamertemplate{description item}[circle] +\setbeamertemplate{title page}[default][colsep=-4bp,rounded=true] +\beamertemplatenavigationsymbolsempty + +\setbeamercolor{footline}{fg=gray} +\setbeamertemplate{footline}{% + \hfill\usebeamertemplate***{navigation symbols} + \hspace{0.5cm} + \insertframenumber{}\hspace{0.2cm}\vspace{0.2cm} +} + +\usepackage{caption} +\captionsetup{labelformat=empty} + +%Title Page +\title{Laguerre-Polynome} +\subtitle{Anwendung: Approximation der Gamma-Funktion} +\author{Patrik Müller} +% \institute{OST Ostschweizer Fachhochschule} +% \institute{\includegraphics[scale=0.3]{../img/ost_logo.png}} +\date{\today} + +\input{../packages.tex} + +\newcommand*{\QED}{\hfill\ensuremath{\blacksquare}}% + +\newcommand*{\HL}{\textcolor{mainColor}} +\newcommand*{\RD}{\textcolor{red}} +\newcommand*{\BL}{\textcolor{blue}} +\newcommand*{\GN}{\textcolor{dgreen}} + +\definecolor{darkgreen}{rgb}{0,0.6,0} + + +\makeatletter +\newcount\my@repeat@count +\newcommand{\myrepeat}[2]{% + \begingroup + \my@repeat@count=\z@ + \@whilenum\my@repeat@count<#1\do{#2\advance\my@repeat@count\@ne}% + \endgroup +} +\makeatother + +\usetikzlibrary{automata,arrows,positioning,calc,shapes.geometric, fadings} + +\begin{document} + +\begin{frame} + \titlepage +\end{frame} + +\begin{frame}{Inhaltsverzeichnis} + \tableofcontents +\end{frame} + +\input{sections/laguerre} + +\input{sections/gaussquad} + +\input{sections/gamma} + +\input{sections/gamma_approx} + +\appendix +\begin{frame} + \centering + \Large + \textbf{Vielen Dank für die Aufmerksamkeit} +\end{frame} + +\end{document} diff --git a/buch/papers/laguerre/presentation/sections/gamma.tex b/buch/papers/laguerre/presentation/sections/gamma.tex new file mode 100644 index 0000000..37f4a0b --- /dev/null +++ b/buch/papers/laguerre/presentation/sections/gamma.tex @@ -0,0 +1,50 @@ +\section{Gamma-Funktion} + +\begin{frame}{Gamma-Funktion} +\begin{columns} + +\begin{column}{0.48\textwidth} +\begin{figure}[h] +\centering +% \scalebox{0.51}{\input{../images/gammaplot.pdf}} +\includegraphics[width=1\textwidth]{../images/gammaplot.pdf} +% \caption{Gamma-Funktion} +\end{figure} +\end{column} + +\begin{column}{0.52\textwidth} +Verallgemeinerung der Fakultät +\begin{align*} +\Gamma(n) = (n-1)! +\end{align*} + +Integralformel +\begin{align*} +\Gamma(z) += +\int_0^\infty x^{z-1} e^{-x} \, dx +,\quad +\operatorname{Re} z > 0 +\end{align*} + +Funktionalgleichung +\begin{align*} +z \Gamma(z) += +\Gamma(z + 1) +\end{align*} + +Reflektionsformel +\begin{align*} +\Gamma(z) \Gamma(1 - z) += +\frac{\pi}{\sin \pi z} +, \quad +\text{für } +z \notin \mathbb{Z} +\end{align*} + +\end{column} +\end{columns} + +\end{frame} \ No newline at end of file diff --git a/buch/papers/laguerre/presentation/sections/gamma_approx.tex b/buch/papers/laguerre/presentation/sections/gamma_approx.tex new file mode 100644 index 0000000..f5f889e --- /dev/null +++ b/buch/papers/laguerre/presentation/sections/gamma_approx.tex @@ -0,0 +1,176 @@ +\section{Approximieren der Gamma-Funktion} + +\begin{frame}{Anwenden der Gauss-Laguerre-Quadratur auf $\Gamma(z)$} + +\begin{align*} +\Gamma(z) + & = +\int_0^\infty x^{z-1} e^{-x} \, dx +\approx +\sum_{i=1}^{n} f(x_i) A_i += +\sum_{i=1}^{n} x^{z-1} A_i +\\\\ + & \text{wobei } +A_i = \frac{x_i}{(n+1)^2 \left[ L_{n+1}(x_i) \right]^2} +\text{ und $x_i$ die Nullstellen von $L_n(x)$} +\end{align*} + +\end{frame} + +\begin{frame}{Fehlerabschätzung} +\begin{align*} +R_n(\xi) + & = +\frac{(n!)^2}{(2n)!} f^{(2n)}(\xi) +\\ + & = +(z - 2n)_{2n} \frac{(n!)^2}{(2n)!} \xi^{z - 2n - 1} +,\quad +0 < \xi < \infty +\end{align*} + +% \textbf{Probleme:} +\begin{itemize} +\item Funktion ist unbeschränkt +\item Maximum von $R_n$ gibt oberes Limit des Fehlers an +\uncover<2->{\item[$\Rightarrow$] Schwierig ein Maximum von $R_n(\xi)$ zu finden} +\end{itemize} +\end{frame} + +\begin{frame}{Einfacher Ansatz} + +\begin{figure}[h] +\centering +\scalebox{0.91}{\input{../images/rel_error_simple.pgf}} +\caption{Relativer Fehler des einfachen Ansatzes für verschiedene reele Werte +von $z$ und Grade $n$ der Laguerre-Polynome} +\end{figure} + +\end{frame} + +\begin{frame}{Wieso sind die Resultate so schlecht?} + +\textbf{Beobachtungen} +\begin{itemize} +\item Wenn $z \in \mathbb{Z}$ relativer Fehler $\rightarrow 0$ +\item Gewisse Periodizität zu erkennen +\item Für grosse und kleine $z$ ergibt sich ein schlechter relativer Fehler +\item Es gibt Intervalle $[a,a+1]$ mit minimalem relativem Fehler +\item $a$ ist abhängig von $n$ +\end{itemize} + +\uncover<2->{ +\textbf{Ursache?} +\begin{itemize} +\item Vermutung: Integrand ist problematisch +} +\uncover<3->{ +\item[$\Rightarrow$] Analysieren des Integranden +} +\end{itemize} +\end{frame} + +\begin{frame}{$f(x) = x^z$} +\begin{figure}[h] +\centering +\scalebox{0.91}{\input{../images/integrands.pgf}} +% \caption{Integrand $x^z$ mit unterschiedlichen Werten für $z$} +\end{figure} +\end{frame} + +\begin{frame}{Integrand $x^z e^{-x}$} +\begin{figure}[h] +\centering +\scalebox{0.91}{\input{../images/integrands_exp.pgf}} +% \caption{Integrand $x^z$ mit unterschiedlichen Werten für $z$} +\end{figure} +\end{frame} + +\begin{frame}{Neuer Ansatz?} + +\textbf{Vermutung} +\begin{itemize} +\item Es gibt Intervalle $[a(n), a(n+1)]$ in denen der relative Fehler minimal +ist +\item $a(n) > 0$ +\end{itemize} + +\uncover<2->{ +\textbf{Idee} +\begin{itemize} +\item[$\Rightarrow$] Berechnen von $\Gamma(z)$ im geeigneten Intervall und dann +mit Funktionalgleichung zurückverschieben +\end{itemize} +} + +\uncover<3->{ +\textbf{Wie finden wir $\boldsymbol{a(n)}$?} +\begin{itemize} +\item Minimieren des Fehlerterms mit zusätzlichem Verschiebungsterm +} +\uncover<4->{$\Rightarrow$ Schwierig das Maximum des Fehlerterms zu bestimmen} +\uncover<5->{\item Emprisch $a(n)$ bestimmen} +\uncover<6->{$\Rightarrow$ Sinnvoll, +da Gauss-Quadratur nur für kleine $n$ praktischen Nutzen hat} +\end{itemize} +\end{frame} + +\begin{frame}{Verschiebungsterm} +\begin{align*} +\Gamma(z) +\approx +\frac{1}{(z-m)_m} \sum_{i=1}^{n} x_i^{z + m - 1} A_i +\end{align*} + +\begin{figure}[h] +\centering +\includegraphics[width=0.5\textwidth]{../images/targets.pdf} +\caption{Verschiebungsterm $m$ in Abhängigkeit von $z$ und $n$} +\end{figure} +\end{frame} + +\begin{frame}{Schätzen von $m^*$} +\begin{columns} +\begin{column}{0.6\textwidth} +\begin{figure} +\centering +\vspace{-24pt} +\scalebox{0.7}{\input{../images/estimate.pgf}} +% \caption{Integrand $x^z$ mit unterschiedlichen Werten für $z$} +\end{figure} +\end{column} +\begin{column}{0.39\textwidth} +\begin{align*} +m^* += +\lceil \hat{m} - \operatorname{Re}z \rceil +\end{align*} +\end{column} +\end{columns} + +\end{frame} + +\begin{frame}{} +\begin{figure}[h] +\centering +\scalebox{0.6}{\input{../images/rel_error_shifted.pgf}} +\caption{Relativer Fehler mit $n=8$, unterschiedlichen Verschiebungstermen $m$ und $z\in(0, 1)$} +\end{figure} +\end{frame} + +\begin{frame}{} +\begin{figure}[h] +\centering +\scalebox{0.6}{\input{../images/rel_error_range.pgf}} +\caption{Relativer Fehler mit $n=8$, Verschiebungsterm $m^*$ und $z\in(-5, 5)$} +\end{figure} +\end{frame} + +\begin{frame}{Vergleich mit Lanczos-Methode} +Maximaler relativer Fehler für $n=6$ +\begin{itemize} + \item Lanczos-Methode $< 10^{-12}$ + \item Unsere Methode $\approx 10^{-6}$ +\end{itemize} +\end{frame} \ No newline at end of file diff --git a/buch/papers/laguerre/presentation/sections/gaussquad.tex b/buch/papers/laguerre/presentation/sections/gaussquad.tex new file mode 100644 index 0000000..4d973b8 --- /dev/null +++ b/buch/papers/laguerre/presentation/sections/gaussquad.tex @@ -0,0 +1,67 @@ +\section{Gauss-Quadratur} + +\begin{frame}{Gauss-Quadratur} +\textbf{Idee} +\begin{itemize}[<+->] +\item Polynome können viele Funktionen approximieren +\item Wenn Verfahren gut für Polynome funktioniert, +sollte es auch für andere Funktionen funktionieren +\item Integrieren eines Interpolationspolynom +\item Interpolationspolynom ist durch Funktionswerte $f(x_i)$ bestimmt +$\Rightarrow$ Integral kann durch Funktionswerte berechnet werden +\item Evaluation der Funktionswerte an geeigneten Stellen +\end{itemize} +\end{frame} + +\begin{frame}{Gauss-Quadratur} +\begin{align*} +\int_{-1}^{1} f(x) \, dx +\approx +\sum_{i=1}^n f(x_i) A_i +\end{align*} + +\begin{itemize}[<+->] +\item Exakt für Polynome mit Grad $2n-1$ +\item Interpolationspolynome müssen orthogonal sein +\item Stützstellen $x_i$ sind Nullstellen des Polynoms +\item Fehler: +\begin{align*} +E += +\frac{f^{(2n)}(\xi)}{(2n)!} \int_{-1}^{1} l(x)^2 \, dx +,\quad +\text{wobei } +l(x) = \prod_{i=1}^n (x-x_i) +\end{align*} +\end{itemize} +\end{frame} + +\begin{frame}{Gauss-Laguerre-Quadratur} +\begin{itemize}[<+->] +\item Erweiterung des Integrationsintervall von $[-1, 1]$ auf $(a, b)$ +\item Hinzufügen einer Gewichtsfunktion +\item Bei uneigentlichen Integralen muss Gewichtsfunktion schneller als jedes +Integrationspolynom gegen $0$ gehen +\item[$\Rightarrow$] Für Laguerre-Polynome haben wir den Definitionsbereich +$(0, \infty)$ und die Gewichtsfunktion $w(x) = e^{-x}$ +\begin{align*} +\int_0^\infty & f(x) e^{-x} \, dx +\approx +\sum_{i=1}^n f(x_i) A_i +\\ + & \text{wobei } +A_i = \frac{x_i}{(n+1)^2 \left[ L_{n+1}(x_i) \right]^2} +\text{ und $x_i$ die Nullstellen von $L_n(x)$} +\end{align*} +\end{itemize} +\end{frame} + +\begin{frame}{Fehler der Gauss-Laguerre-Quadratur} +\begin{align*} +R_n += +\frac{(n!)^2}{(2n)!} f^{(2n)}(\xi) +,\quad +0 < \xi < \infty +\end{align*} +\end{frame} \ No newline at end of file diff --git a/buch/papers/laguerre/presentation/sections/laguerre.tex b/buch/papers/laguerre/presentation/sections/laguerre.tex new file mode 100644 index 0000000..cba9ffb --- /dev/null +++ b/buch/papers/laguerre/presentation/sections/laguerre.tex @@ -0,0 +1,88 @@ +\section{Laguerre-Polynome} + +\begin{frame}{Laguerre-Differentialgleichung} + +\begin{itemize} +\item Benannt nach Edmond Nicolas Laguerre (1834-1886) +\item Aus Artikel von 1879, +in dem er $\int_0^\infty \exp(-x)/x \, dx$ analysierte +\end{itemize} + +\begin{align*} +x y''(x) + (1 - x) y'(x) + n y(x) + & = +0 +, \quad +n \in \mathbb{N}_0 +, \quad +x \in \mathbb{R} +\end{align*} + +\end{frame} + +\begin{frame}{Lösen der Differentialgleichung} + +\begin{align*} +x y''(x) + (1 - x) y'(x) + n y(x) + & = +0 +\\ +\end{align*} + +\uncover<2->{ +\centering +\begin{tikzpicture}[remember picture,overlay] +%% use here too +\path[draw=mainColor, very thick,->](0, 1.1) to +node[anchor=west]{Potenreihenansatz} (0, -0.8); +\end{tikzpicture} +} + +\begin{align*} +\uncover<3->{ +L_n(x) + & = +\sum_{k=0}^{n} \frac{(-1)^k}{k!} \binom{n}{k} x^k +} +\end{align*} +\uncover<4->{ +\begin{itemize} + \item Die Lösungen der DGL sind die Laguerre-Polynome +\end{itemize} +} +\end{frame} + +\begin{frame} +\begin{figure}[h] +\centering +\scalebox{0.66}{\input{../images/laguerre_polynomes.pgf}} +\caption{Laguerre-Polynome vom Grad $0$ bis $7$} +\end{figure} +\end{frame} + +\begin{frame}{Orthogonalität} +\begin{itemize}[<+->] +\item Beweis: Umformen in Sturm-Liouville-Problem (siehe Paper) +\begin{alignat*}{5} +((p(x) &y'(x)))' + q(x) &y(x) +&= +\lambda &w(x) &y(x) +\\ +((x e^{-x} &y'(x)))' + 0 &y(x) +&= +n &e^{-x} &y(x) +\end{alignat*} +\item Definitionsbereich $(0, \infty)$ +\item Gewichtsfunktion $w(x) = e^{-x}$ +\end{itemize} + +\only<4>{ +\begin{align*} +\int_0^\infty e^{-x} L_n(x) L_m(x) \, dx += +0 +,\quad +n, m \in \mathbb{N} +\end{align*} +} +\end{frame} \ No newline at end of file diff --git a/buch/papers/laguerre/scripts/gamma_approx.py b/buch/papers/laguerre/scripts/gamma_approx.py index 9c8f3ee..dd50d92 100644 --- a/buch/papers/laguerre/scripts/gamma_approx.py +++ b/buch/papers/laguerre/scripts/gamma_approx.py @@ -39,7 +39,7 @@ def find_shift(z, target): def find_optimal_shift(z, n): mhat = 1.34093 * n + 0.854093 - steps = int(np.ceil(mhat - np.real(z))) - 1 + steps = int(np.floor(mhat - np.real(z))) return steps @@ -136,7 +136,7 @@ ax.set_xlabel(r"$z$") ax.set_ylabel("Relativer Fehler") ax.legend(ncol=3, fontsize="small") ax.grid(1, "both") -# fig.savefig(f"{img_path}/rel_error_simple.pgf") +fig.savefig(f"{img_path}/rel_error_simple.pgf") # Mirrored @@ -162,7 +162,7 @@ ax2.set_xlabel(r"$z$") ax2.set_ylabel("Relativer Fehler") ax2.legend(ncol=1, loc="upper left", fontsize="small") ax2.grid(1, "both") -# fig2.savefig(f"{img_path}/rel_error_mirror.pgf") +fig2.savefig(f"{img_path}/rel_error_mirror.pgf") # Move to target @@ -202,7 +202,7 @@ ax3.set_yticks(np.arange(len(ns))) ax3.set_yticklabels(ns) ax3.set_xlabel(r"$z$") ax3.set_ylabel(r"$n$") -# fig3.savefig(f"{img_path}/targets.pdf") +fig3.savefig(f"{img_path}/targets.pdf") targets = np.mean(bests, -1) intercept, bias = np.polyfit(ns, targets, 1) @@ -211,16 +211,16 @@ fig4, axs4 = plt.subplots( ) xl = np.array([ns[0] - 0.5, ns[-1] + 0.5]) axs4[0].plot(xl, intercept * xl + bias, label=r"$\hat{m}$") -axs4[0].plot(ns, targets, "x", label=r"$\bar{m}$") -axs4[1].plot(ns, ((intercept * ns + bias) - targets), "-x", label=r"$\hat{m} - \bar{m}$") +axs4[0].plot(ns, targets, "x", label=r"$\overline{m}$") +axs4[1].plot(ns, ((intercept * ns + bias) - targets), "-x", label=r"$\hat{m} - \overline{m}$") axs4[0].set_xlim(*xl) # axs4[0].set_title("Schätzung von Mittelwert") # axs4[1].set_title("Fehler") -axs4[-1].set_xlabel(r"$z$") +axs4[-1].set_xlabel(r"$n$") for ax in axs4: ax.grid(1) ax.legend() -# fig4.savefig(f"{img_path}/schaetzung.pgf") +fig4.savefig(f"{img_path}/estimate.pgf") print(f"Intercept={intercept:.6g}, Bias={bias:.6g}") predicts = np.ceil(intercept * ns[:, None] + bias - x) @@ -234,14 +234,14 @@ gamma = scipy.special.gamma(x)[:, None] n = 8 targets = np.arange(10, 14) gamma = scipy.special.gamma(x) -fig5, ax5 = plt.subplots(num=1, clear=True, constrained_layout=True) +fig5, ax5 = plt.subplots(num=5, clear=True, constrained_layout=True) for target in targets: gamma_lag = eval_laguerre_gamma(x, target=target, n=n, func="shifted") rel_error = np.abs(calc_rel_error(gamma, gamma_lag)) - ax5.semilogy(x, rel_error, label=f"$m={target}$") + ax5.semilogy(x, rel_error, label=f"$m={target}$", linewidth=3) gamma_lgo = eval_laguerre_gamma(x, n=n, func="optimal_shifted") rel_error = np.abs(calc_rel_error(gamma, gamma_lgo)) -ax5.semilogy(x, rel_error, label="$m^*$") +ax5.semilogy(x, rel_error, "c", linestyle="dotted", label="$m^*$", linewidth=3) ax5.set_xlim(x[0], x[-1]) ax5.set_ylim(5e-9, 5e-8) ax5.set_xlabel(r"$z$") @@ -254,10 +254,10 @@ x = np.linspace(-5+ EPSILON, 5-EPSILON, N) gamma = scipy.special.gamma(x)[:, None] n = 8 gamma = scipy.special.gamma(x) -fig6, ax6 = plt.subplots(num=1, clear=True, constrained_layout=True) +fig6, ax6 = plt.subplots(num=6, clear=True, constrained_layout=True) gamma_lgo = eval_laguerre_gamma(x, n=n, func="optimal_shifted") rel_error = np.abs(calc_rel_error(gamma, gamma_lgo)) -ax6.semilogy(x, rel_error, label="$m^*$") +ax6.semilogy(x, rel_error, label="$m^*$", linewidth=3) ax6.set_xlim(x[0], x[-1]) ax6.set_ylim(5e-9, 5e-8) ax6.set_xlabel(r"$z$") @@ -265,4 +265,14 @@ ax6.grid(1, "both") ax6.legend() fig6.savefig(f"{img_path}/rel_error_range.pgf") +N = 2001 +x = np.linspace(-5, 5, N) +gamma = scipy.special.gamma(x) +fig7, ax7 = plt.subplots(num=7, clear=True, constrained_layout=True) +ax7.plot(x, gamma) +ax7.set_xlim(x[0], x[-1]) +ax7.set_ylim(-7.5, 25) +ax7.grid(1, "both") +fig7.savefig(f"{img_path}/gamma.pgf") + # plt.show() -- cgit v1.2.1 From fac45f54d4cee5018c063b4a720695cbf3040fa9 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Patrik=20M=C3=BCller?= Date: Thu, 2 Jun 2022 15:53:49 +0200 Subject: Correct typos in presentation --- .../presentation/sections/gamma_approx.tex | 23 +++++++++++++++++----- .../laguerre/presentation/sections/laguerre.tex | 4 ++-- buch/papers/laguerre/scripts/gamma_approx.py | 2 +- 3 files changed, 21 insertions(+), 8 deletions(-) (limited to 'buch/papers') diff --git a/buch/papers/laguerre/presentation/sections/gamma_approx.tex b/buch/papers/laguerre/presentation/sections/gamma_approx.tex index f5f889e..2e4e4e2 100644 --- a/buch/papers/laguerre/presentation/sections/gamma_approx.tex +++ b/buch/papers/laguerre/presentation/sections/gamma_approx.tex @@ -6,14 +6,20 @@ \Gamma(z) & = \int_0^\infty x^{z-1} e^{-x} \, dx +\uncover<2->{ \approx \sum_{i=1}^{n} f(x_i) A_i +} +\uncover<3->{ = \sum_{i=1}^{n} x^{z-1} A_i +} \\\\ +\uncover<4->{ & \text{wobei } A_i = \frac{x_i}{(n+1)^2 \left[ L_{n+1}(x_i) \right]^2} \text{ und $x_i$ die Nullstellen von $L_n(x)$} +} \end{align*} \end{frame} @@ -66,7 +72,7 @@ von $z$ und Grade $n$ der Laguerre-Polynome} \item Vermutung: Integrand ist problematisch } \uncover<3->{ -\item[$\Rightarrow$] Analysieren des Integranden +\item[$\Rightarrow$] Analysieren von $f(x)$ und dem Integranden } \end{itemize} \end{frame} @@ -110,7 +116,7 @@ mit Funktionalgleichung zurückverschieben \item Minimieren des Fehlerterms mit zusätzlichem Verschiebungsterm } \uncover<4->{$\Rightarrow$ Schwierig das Maximum des Fehlerterms zu bestimmen} -\uncover<5->{\item Emprisch $a(n)$ bestimmen} +\uncover<5->{\item Empirisch $a(n)$ bestimmen} \uncover<6->{$\Rightarrow$ Sinnvoll, da Gauss-Quadratur nur für kleine $n$ praktischen Nutzen hat} \end{itemize} @@ -120,13 +126,13 @@ da Gauss-Quadratur nur für kleine $n$ praktischen Nutzen hat} \begin{align*} \Gamma(z) \approx -\frac{1}{(z-m)_m} \sum_{i=1}^{n} x_i^{z + m - 1} A_i +\frac{1}{(z-m)_{m}} \sum_{i=1}^{n} x_i^{z + m - 1} A_i \end{align*} \begin{figure}[h] \centering \includegraphics[width=0.5\textwidth]{../images/targets.pdf} -\caption{Verschiebungsterm $m$ in Abhängigkeit von $z$ und $n$} +\caption{Optimaler Verschiebungsterm $m^*$ in Abhängigkeit von $z$ und $n$} \end{figure} \end{frame} @@ -142,8 +148,15 @@ da Gauss-Quadratur nur für kleine $n$ praktischen Nutzen hat} \end{column} \begin{column}{0.39\textwidth} \begin{align*} +\hat{m} +&= +\alpha n + \beta +\\ +&\approx +1.34093 n + 0.854093 +\\ m^* -= +&= \lceil \hat{m} - \operatorname{Re}z \rceil \end{align*} \end{column} diff --git a/buch/papers/laguerre/presentation/sections/laguerre.tex b/buch/papers/laguerre/presentation/sections/laguerre.tex index cba9ffb..faa50e5 100644 --- a/buch/papers/laguerre/presentation/sections/laguerre.tex +++ b/buch/papers/laguerre/presentation/sections/laguerre.tex @@ -34,7 +34,7 @@ x y''(x) + (1 - x) y'(x) + n y(x) \begin{tikzpicture}[remember picture,overlay] %% use here too \path[draw=mainColor, very thick,->](0, 1.1) to -node[anchor=west]{Potenreihenansatz} (0, -0.8); +node[anchor=west]{Potenzreihenansatz} (0, -0.8); \end{tikzpicture} } @@ -76,7 +76,7 @@ n &e^{-x} &y(x) \item Gewichtsfunktion $w(x) = e^{-x}$ \end{itemize} -\only<4>{ +\uncover<4->{ \begin{align*} \int_0^\infty e^{-x} L_n(x) L_m(x) \, dx = diff --git a/buch/papers/laguerre/scripts/gamma_approx.py b/buch/papers/laguerre/scripts/gamma_approx.py index dd50d92..857c735 100644 --- a/buch/papers/laguerre/scripts/gamma_approx.py +++ b/buch/papers/laguerre/scripts/gamma_approx.py @@ -192,7 +192,7 @@ bests = np.stack(bests, 0) fig3, ax3 = plt.subplots(num=3, clear=True, constrained_layout=True, figsize=(5, 3)) v = ax3.imshow(bests, cmap="inferno", aspect="auto", interpolation="nearest") -plt.colorbar(v, ax=ax3, label=r"$m$") +plt.colorbar(v, ax=ax3, label=r"$m^*$") ticks = np.arange(0, N + 1, N // 5) ax3.set_xlim(0, 1) ax3.set_xticks(ticks) -- cgit v1.2.1 From fb20b12bd912595deb6ad98a6428842f893edcda Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Patrik=20M=C3=BCller?= Date: Thu, 2 Jun 2022 16:13:14 +0200 Subject: Add n != m to presentation at orthogonality section --- buch/papers/laguerre/presentation/sections/laguerre.tex | 2 ++ 1 file changed, 2 insertions(+) (limited to 'buch/papers') diff --git a/buch/papers/laguerre/presentation/sections/laguerre.tex b/buch/papers/laguerre/presentation/sections/laguerre.tex index faa50e5..1add511 100644 --- a/buch/papers/laguerre/presentation/sections/laguerre.tex +++ b/buch/papers/laguerre/presentation/sections/laguerre.tex @@ -81,6 +81,8 @@ n &e^{-x} &y(x) \int_0^\infty e^{-x} L_n(x) L_m(x) \, dx = 0 +,\quad +n \neq m ,\quad n, m \in \mathbb{N} \end{align*} -- cgit v1.2.1 From 8fb46098cb8e42a94b8e01ecc809f536d5c7efaf Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Patrik=20M=C3=BCller?= Date: Fri, 3 Jun 2022 07:23:21 +0200 Subject: Minor tweaks of presentation --- buch/papers/laguerre/images/rel_error_shifted.pgf | 4 ++-- buch/papers/laguerre/images/targets.pdf | Bin 12940 -> 13199 bytes .../papers/laguerre/presentation/sections/gamma.tex | 5 +++-- .../laguerre/presentation/sections/gamma_approx.tex | 20 +++++++++++++------- .../laguerre/presentation/sections/laguerre.tex | 2 +- buch/papers/laguerre/scripts/gamma_approx.py | 2 +- 6 files changed, 20 insertions(+), 13 deletions(-) (limited to 'buch/papers') diff --git a/buch/papers/laguerre/images/rel_error_shifted.pgf b/buch/papers/laguerre/images/rel_error_shifted.pgf index c11b676..707d492 100644 --- a/buch/papers/laguerre/images/rel_error_shifted.pgf +++ b/buch/papers/laguerre/images/rel_error_shifted.pgf @@ -1050,7 +1050,7 @@ \pgfsetbuttcap% \pgfsetroundjoin% \pgfsetlinewidth{3.011250pt}% -\definecolor{currentstroke}{rgb}{0.000000,0.750000,0.750000}% +\definecolor{currentstroke}{rgb}{0.750000,0.000000,0.750000}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{{3.000000pt}{4.950000pt}}{0.000000pt}% \pgfpathmoveto{\pgfqpoint{0.712295in}{0.453273in}}% @@ -1310,7 +1310,7 @@ \pgfsetbuttcap% \pgfsetroundjoin% \pgfsetlinewidth{3.011250pt}% -\definecolor{currentstroke}{rgb}{0.000000,0.750000,0.750000}% +\definecolor{currentstroke}{rgb}{0.750000,0.000000,0.750000}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{{3.000000pt}{4.950000pt}}{0.000000pt}% \pgfpathmoveto{\pgfqpoint{5.398422in}{3.760989in}}% diff --git a/buch/papers/laguerre/images/targets.pdf b/buch/papers/laguerre/images/targets.pdf index adaeeef..df11068 100644 Binary files a/buch/papers/laguerre/images/targets.pdf and b/buch/papers/laguerre/images/targets.pdf differ diff --git a/buch/papers/laguerre/presentation/sections/gamma.tex b/buch/papers/laguerre/presentation/sections/gamma.tex index 37f4a0b..7dca39b 100644 --- a/buch/papers/laguerre/presentation/sections/gamma.tex +++ b/buch/papers/laguerre/presentation/sections/gamma.tex @@ -3,8 +3,9 @@ \begin{frame}{Gamma-Funktion} \begin{columns} -\begin{column}{0.48\textwidth} +\begin{column}{0.55\textwidth} \begin{figure}[h] +\vspace{-16pt} \centering % \scalebox{0.51}{\input{../images/gammaplot.pdf}} \includegraphics[width=1\textwidth]{../images/gammaplot.pdf} @@ -12,7 +13,7 @@ \end{figure} \end{column} -\begin{column}{0.52\textwidth} +\begin{column}{0.45\textwidth} Verallgemeinerung der Fakultät \begin{align*} \Gamma(n) = (n-1)! diff --git a/buch/papers/laguerre/presentation/sections/gamma_approx.tex b/buch/papers/laguerre/presentation/sections/gamma_approx.tex index 2e4e4e2..4073b3c 100644 --- a/buch/papers/laguerre/presentation/sections/gamma_approx.tex +++ b/buch/papers/laguerre/presentation/sections/gamma_approx.tex @@ -48,7 +48,8 @@ R_n(\xi) \begin{figure}[h] \centering -\scalebox{0.91}{\input{../images/rel_error_simple.pgf}} +% \scalebox{0.91}{\input{../images/rel_error_simple.pgf}} +\resizebox{!}{0.72\textheight}{\input{../images/rel_error_simple.pgf}} \caption{Relativer Fehler des einfachen Ansatzes für verschiedene reele Werte von $z$ und Grade $n$ der Laguerre-Polynome} \end{figure} @@ -123,17 +124,22 @@ da Gauss-Quadratur nur für kleine $n$ praktischen Nutzen hat} \end{frame} \begin{frame}{Verschiebungsterm} +\begin{columns} +\begin{column}{0.625\textwidth} +\begin{figure}[h] +\centering +\includegraphics[width=1\textwidth]{../images/targets.pdf} +\caption{Optimaler Verschiebungsterm $m^*$ in Abhängigkeit von $z$ und $n$} +\end{figure} +\end{column} +\begin{column}{0.375\textwidth} \begin{align*} \Gamma(z) \approx \frac{1}{(z-m)_{m}} \sum_{i=1}^{n} x_i^{z + m - 1} A_i \end{align*} - -\begin{figure}[h] -\centering -\includegraphics[width=0.5\textwidth]{../images/targets.pdf} -\caption{Optimaler Verschiebungsterm $m^*$ in Abhängigkeit von $z$ und $n$} -\end{figure} +\end{column} +\end{columns} \end{frame} \begin{frame}{Schätzen von $m^*$} diff --git a/buch/papers/laguerre/presentation/sections/laguerre.tex b/buch/papers/laguerre/presentation/sections/laguerre.tex index 1add511..07cafb8 100644 --- a/buch/papers/laguerre/presentation/sections/laguerre.tex +++ b/buch/papers/laguerre/presentation/sections/laguerre.tex @@ -55,7 +55,7 @@ L_n(x) \begin{frame} \begin{figure}[h] \centering -\scalebox{0.66}{\input{../images/laguerre_polynomes.pgf}} +\resizebox{0.74\textwidth}{!}{\input{../images/laguerre_polynomes.pgf}} \caption{Laguerre-Polynome vom Grad $0$ bis $7$} \end{figure} \end{frame} diff --git a/buch/papers/laguerre/scripts/gamma_approx.py b/buch/papers/laguerre/scripts/gamma_approx.py index 857c735..53ba76b 100644 --- a/buch/papers/laguerre/scripts/gamma_approx.py +++ b/buch/papers/laguerre/scripts/gamma_approx.py @@ -241,7 +241,7 @@ for target in targets: ax5.semilogy(x, rel_error, label=f"$m={target}$", linewidth=3) gamma_lgo = eval_laguerre_gamma(x, n=n, func="optimal_shifted") rel_error = np.abs(calc_rel_error(gamma, gamma_lgo)) -ax5.semilogy(x, rel_error, "c", linestyle="dotted", label="$m^*$", linewidth=3) +ax5.semilogy(x, rel_error, "m", linestyle="dotted", label="$m^*$", linewidth=3) ax5.set_xlim(x[0], x[-1]) ax5.set_ylim(5e-9, 5e-8) ax5.set_xlabel(r"$z$") -- cgit v1.2.1 From 5dcd1898f505fb707e8a7630c807f522fd549279 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Patrik=20M=C3=BCller?= Date: Fri, 3 Jun 2022 07:25:42 +0200 Subject: Bugfix --- buch/papers/laguerre/presentation/presentation.tex | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) (limited to 'buch/papers') diff --git a/buch/papers/laguerre/presentation/presentation.tex b/buch/papers/laguerre/presentation/presentation.tex index f49cf1e..3db69f5 100644 --- a/buch/papers/laguerre/presentation/presentation.tex +++ b/buch/papers/laguerre/presentation/presentation.tex @@ -126,9 +126,9 @@ \appendix \begin{frame} - \centering - \Large - \textbf{Vielen Dank für die Aufmerksamkeit} + % \centering + % \Large + % \textbf{Vielen Dank für die Aufmerksamkeit} \end{frame} \end{document} -- cgit v1.2.1 From fde57297b3efbef28d09a532e1b3895d2b2ad917 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Patrik=20M=C3=BCller?= Date: Thu, 14 Jul 2022 15:03:28 +0200 Subject: Correct Makefile, add text to gamma.tex, separate python-scripts for each image --- buch/papers/laguerre/Makefile | 38 +- buch/papers/laguerre/Makefile.inc | 4 +- buch/papers/laguerre/definition.tex | 2 +- buch/papers/laguerre/gamma.tex | 212 +- buch/papers/laguerre/images/estimate.pgf | 1160 ------- buch/papers/laguerre/images/estimates.pgf | 1700 ++++++++++ buch/papers/laguerre/images/gammaplot.pdf | Bin 23297 -> 23297 bytes buch/papers/laguerre/images/integrand.pgf | 2670 ++++++++++++++++ buch/papers/laguerre/images/integrand_exp.pgf | 1916 +++++++++++ buch/papers/laguerre/images/integrands.pgf | 2865 ----------------- buch/papers/laguerre/images/integrands_exp.pgf | 1968 ------------ buch/papers/laguerre/images/laguerre_poly.pgf | 1838 +++++++++++ buch/papers/laguerre/images/laguerre_polynomes.pgf | 1838 ----------- buch/papers/laguerre/images/rel_error_mirror.pgf | 3381 ++++++++++---------- buch/papers/laguerre/images/rel_error_range.pgf | 2467 ++++++++++++-- buch/papers/laguerre/images/rel_error_shifted.pgf | 1446 +++++---- buch/papers/laguerre/images/rel_error_simple.pgf | 2648 ++++++++------- buch/papers/laguerre/images/rel_error_simple.png | Bin 61966 -> 0 bytes buch/papers/laguerre/images/targets-img0.png | Bin 0 -> 836 bytes buch/papers/laguerre/images/targets-img1.png | Bin 0 -> 429 bytes buch/papers/laguerre/images/targets.pdf | Bin 13199 -> 12530 bytes buch/papers/laguerre/images/targets.pgf | 1024 ++++++ buch/papers/laguerre/packages.tex | 2 +- .../presentation/sections/gamma_approx.tex | 8 +- .../laguerre/presentation/sections/laguerre.tex | 2 +- buch/papers/laguerre/quadratur.tex | 8 +- buch/papers/laguerre/scripts/estimates.py | 39 + buch/papers/laguerre/scripts/gamma_approx.ipynb | 616 ---- buch/papers/laguerre/scripts/gamma_approx.py | 181 +- buch/papers/laguerre/scripts/integrand.py | 74 +- buch/papers/laguerre/scripts/integrand_exp.py | 36 + buch/papers/laguerre/scripts/laguerre_plot.py | 101 - buch/papers/laguerre/scripts/laguerre_poly.py | 98 + buch/papers/laguerre/scripts/rel_error_mirror.py | 28 + buch/papers/laguerre/scripts/rel_error_range.py | 32 + buch/papers/laguerre/scripts/rel_error_shifted.py | 31 + buch/papers/laguerre/scripts/rel_error_simple.py | 29 + buch/papers/laguerre/scripts/targets.py | 48 + 38 files changed, 15675 insertions(+), 12835 deletions(-) delete mode 100644 buch/papers/laguerre/images/estimate.pgf create mode 100644 buch/papers/laguerre/images/estimates.pgf create mode 100644 buch/papers/laguerre/images/integrand.pgf create mode 100644 buch/papers/laguerre/images/integrand_exp.pgf delete mode 100644 buch/papers/laguerre/images/integrands.pgf delete mode 100644 buch/papers/laguerre/images/integrands_exp.pgf create mode 100644 buch/papers/laguerre/images/laguerre_poly.pgf delete mode 100644 buch/papers/laguerre/images/laguerre_polynomes.pgf delete mode 100644 buch/papers/laguerre/images/rel_error_simple.png create mode 100644 buch/papers/laguerre/images/targets-img0.png create mode 100644 buch/papers/laguerre/images/targets-img1.png create mode 100644 buch/papers/laguerre/images/targets.pgf create mode 100644 buch/papers/laguerre/scripts/estimates.py delete mode 100644 buch/papers/laguerre/scripts/gamma_approx.ipynb create mode 100644 buch/papers/laguerre/scripts/integrand_exp.py delete mode 100644 buch/papers/laguerre/scripts/laguerre_plot.py create mode 100644 buch/papers/laguerre/scripts/laguerre_poly.py create mode 100644 buch/papers/laguerre/scripts/rel_error_mirror.py create mode 100644 buch/papers/laguerre/scripts/rel_error_range.py create mode 100644 buch/papers/laguerre/scripts/rel_error_shifted.py create mode 100644 buch/papers/laguerre/scripts/rel_error_simple.py create mode 100644 buch/papers/laguerre/scripts/targets.py (limited to 'buch/papers') diff --git a/buch/papers/laguerre/Makefile b/buch/papers/laguerre/Makefile index 0f0985a..1ed87cc 100644 --- a/buch/papers/laguerre/Makefile +++ b/buch/papers/laguerre/Makefile @@ -3,9 +3,41 @@ # # (c) 2020 Prof Dr Andreas Mueller # +IMGFOLDER := images +PRESFOLDER := presentation -images: images/laguerre_polynomes.pdf +FIGURES := \ + images/targets.pdf \ + images/estimates.pgf \ + images/integrand.pgf \ + images/integrand_exp.pgf \ + images/laguerre_poly.pgf \ + images/rel_error_mirror.pgf \ + images/rel_error_range.pgf \ + images/rel_error_shifted.pgf \ + images/rel_error_simple.pgf \ + images/gammaplot.pdf -images/laguerre_polynomes.pdf: scripts/laguerre_plot.py - python3 scripts/laguerre_plot.py +.PHONY: all +all: images presentation +.PHONY: images +images: $(FIGURES) + +.PHONY: presentation +presentation: $(PRESFOLDER)/presentation.pdf + +images/%.pdf images/%.pgf: scripts/%.py + python3 $< + +images/gammaplot.pdf: images/gammaplot.tex images/gammapaths.tex + cd $(IMGFOLDER) && latexmk -quiet -pdf gammaplot.tex + +$(PRESFOLDER)/%.pdf: $(PRESFOLDER)/%.tex $(FIGURES) + cd $(PRESFOLDER) && latexmk -quiet -pdf $(.pgf} -%% -%% Make sure the required packages are loaded in your preamble -%% \usepackage{pgf} -%% -%% Also ensure that all the required font packages are loaded; for instance, -%% the lmodern package is sometimes necessary when using math font. -%% \usepackage{lmodern} -%% -%% Figures using additional raster images can only be included by \input if -%% they are in the same directory as the main LaTeX file. For loading figures -%% from other directories you can use the `import` package -%% \usepackage{import} -%% -%% and then include the figures with -%% \import{}{.pgf} -%% -%% Matplotlib used the following preamble -%% \usepackage{fontspec} -%% \setmainfont{DejaVuSerif.ttf}[Path=\detokenize{/home/mup/.local/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}] -%% \setsansfont{DejaVuSans.ttf}[Path=\detokenize{/home/mup/.local/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}] -%% \setmonofont{DejaVuSansMono.ttf}[Path=\detokenize{/home/mup/.local/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}] -%% -\begingroup% -\makeatletter% -\begin{pgfpicture}% -\pgfpathrectangle{\pgfpointorigin}{\pgfqpoint{5.000000in}{4.000000in}}% -\pgfusepath{use as bounding box, clip}% -\begin{pgfscope}% -\pgfsetbuttcap% -\pgfsetmiterjoin% -\definecolor{currentfill}{rgb}{1.000000,1.000000,1.000000}% -\pgfsetfillcolor{currentfill}% -\pgfsetlinewidth{0.000000pt}% 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--- /dev/null +++ b/buch/papers/laguerre/images/estimates.pgf @@ -0,0 +1,1700 @@ +%% Creator: Matplotlib, PGF backend +%% +%% To include the figure in your LaTeX document, write +%% \input{.pgf} +%% +%% Make sure the required packages are loaded in your preamble +%% \usepackage{pgf} +%% +%% Also ensure that all the required font packages are loaded; for instance, +%% the lmodern package is sometimes necessary when using math font. +%% \usepackage{lmodern} +%% +%% Figures using additional raster images can only be included by \input if +%% they are in the same directory as the main LaTeX file. For loading figures +%% from other directories you can use the `import` package +%% \usepackage{import} +%% +%% and then include the figures with +%% \import{}{.pgf} +%% +%% Matplotlib used the following preamble +%% \usepackage{fontspec} +%% \setmainfont{DejaVuSerif.ttf}[Path=\detokenize{/home/mup/.local/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}] +%% \setsansfont{DejaVuSans.ttf}[Path=\detokenize{/home/mup/.local/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}] +%% \setmonofont{DejaVuSansMono.ttf}[Path=\detokenize{/home/mup/.local/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}] +%% +\begingroup% +\makeatletter% +\begin{pgfpicture}% +\pgfpathrectangle{\pgfpointorigin}{\pgfqpoint{4.500000in}{3.600000in}}% +\pgfusepath{use as bounding box, clip}% +\begin{pgfscope}% +\pgfsetbuttcap% +\pgfsetmiterjoin% +\definecolor{currentfill}{rgb}{1.000000,1.000000,1.000000}% +\pgfsetfillcolor{currentfill}% +\pgfsetlinewidth{0.000000pt}% 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+\pgftext[x=1.070051in,y=1.714303in,left,base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle \hat{m} - \overline{m}\)}% +\end{pgfscope}% +\end{pgfpicture}% +\makeatother% +\endgroup% diff --git a/buch/papers/laguerre/images/gammaplot.pdf b/buch/papers/laguerre/images/gammaplot.pdf index 92e9261..26c772d 100644 Binary files a/buch/papers/laguerre/images/gammaplot.pdf and b/buch/papers/laguerre/images/gammaplot.pdf differ diff --git a/buch/papers/laguerre/images/integrand.pgf b/buch/papers/laguerre/images/integrand.pgf new file mode 100644 index 0000000..4514936 --- /dev/null +++ b/buch/papers/laguerre/images/integrand.pgf @@ -0,0 +1,2670 @@ +%% Creator: Matplotlib, PGF backend +%% +%% To include the figure in your LaTeX document, write +%% \input{.pgf} +%% +%% Make sure the required packages are loaded in your preamble +%% \usepackage{pgf} +%% +%% Also ensure that all the required font packages are loaded; for instance, +%% the lmodern package is sometimes necessary when using math font. +%% \usepackage{lmodern} +%% +%% Figures using additional raster images can only be included by \input if +%% they are in the same directory as the main LaTeX file. For loading figures +%% from other directories you can use the `import` package +%% \usepackage{import} +%% +%% and then include the figures with +%% \import{}{.pgf} +%% +%% Matplotlib used the following preamble +%% \usepackage{fontspec} +%% \setmainfont{DejaVuSerif.ttf}[Path=\detokenize{/home/mup/.local/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}] +%% \setsansfont{DejaVuSans.ttf}[Path=\detokenize{/home/mup/.local/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}] +%% \setmonofont{DejaVuSansMono.ttf}[Path=\detokenize{/home/mup/.local/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}] +%% +\begingroup% +\makeatletter% +\begin{pgfpicture}% +\pgfpathrectangle{\pgfpointorigin}{\pgfqpoint{4.000000in}{2.400000in}}% +\pgfusepath{use as bounding box, clip}% +\begin{pgfscope}% +\pgfsetbuttcap% +\pgfsetmiterjoin% +\definecolor{currentfill}{rgb}{1.000000,1.000000,1.000000}% +\pgfsetfillcolor{currentfill}% +\pgfsetlinewidth{0.000000pt}% +\definecolor{currentstroke}{rgb}{1.000000,1.000000,1.000000}% +\pgfsetstrokecolor{currentstroke}% +\pgfsetdash{}{0pt}% +\pgfpathmoveto{\pgfqpoint{0.000000in}{0.000000in}}% +\pgfpathlineto{\pgfqpoint{4.000000in}{0.000000in}}% +\pgfpathlineto{\pgfqpoint{4.000000in}{2.400000in}}% +\pgfpathlineto{\pgfqpoint{0.000000in}{2.400000in}}% +\pgfpathlineto{\pgfqpoint{0.000000in}{0.000000in}}% +\pgfpathclose% +\pgfusepath{fill}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfsetbuttcap% +\pgfsetmiterjoin% +\definecolor{currentfill}{rgb}{1.000000,1.000000,1.000000}% +\pgfsetfillcolor{currentfill}% +\pgfsetlinewidth{0.000000pt}% +\definecolor{currentstroke}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetstrokecolor{currentstroke}% +\pgfsetstrokeopacity{0.000000}% +\pgfsetdash{}{0pt}% +\pgfpathmoveto{\pgfqpoint{0.315623in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{3.857732in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{3.857732in}{2.305568in}}% +\pgfpathlineto{\pgfqpoint{0.315623in}{2.305568in}}% +\pgfpathlineto{\pgfqpoint{0.315623in}{0.463273in}}% +\pgfpathclose% +\pgfusepath{fill}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfpathrectangle{\pgfqpoint{0.315623in}{0.463273in}}{\pgfqpoint{3.542109in}{1.842295in}}% +\pgfusepath{clip}% +\pgfsetrectcap% +\pgfsetroundjoin% +\pgfsetlinewidth{0.803000pt}% +\definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% +\pgfsetstrokecolor{currentstroke}% +\pgfsetdash{}{0pt}% +\pgfpathmoveto{\pgfqpoint{0.315623in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{0.315623in}{2.305568in}}% +\pgfusepath{stroke}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfsetbuttcap% +\pgfsetroundjoin% +\definecolor{currentfill}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetfillcolor{currentfill}% +\pgfsetlinewidth{0.803000pt}% +\definecolor{currentstroke}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetstrokecolor{currentstroke}% +\pgfsetdash{}{0pt}% +\pgfsys@defobject{currentmarker}{\pgfqpoint{0.000000in}{-0.048611in}}{\pgfqpoint{0.000000in}{0.000000in}}{% +\pgfpathmoveto{\pgfqpoint{0.000000in}{0.000000in}}% +\pgfpathlineto{\pgfqpoint{0.000000in}{-0.048611in}}% +\pgfusepath{stroke,fill}% +}% +\begin{pgfscope}% +\pgfsys@transformshift{0.315623in}{0.463273in}% +\pgfsys@useobject{currentmarker}{}% +\end{pgfscope}% +\end{pgfscope}% +\begin{pgfscope}% +\definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetstrokecolor{textcolor}% +\pgfsetfillcolor{textcolor}% +\pgftext[x=0.315623in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-3}}\)}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfpathrectangle{\pgfqpoint{0.315623in}{0.463273in}}{\pgfqpoint{3.542109in}{1.842295in}}% +\pgfusepath{clip}% +\pgfsetrectcap% +\pgfsetroundjoin% +\pgfsetlinewidth{0.803000pt}% +\definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% +\pgfsetstrokecolor{currentstroke}% +\pgfsetdash{}{0pt}% +\pgfpathmoveto{\pgfqpoint{0.905974in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{0.905974in}{2.305568in}}% +\pgfusepath{stroke}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfsetbuttcap% +\pgfsetroundjoin% +\definecolor{currentfill}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetfillcolor{currentfill}% +\pgfsetlinewidth{0.803000pt}% +\definecolor{currentstroke}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetstrokecolor{currentstroke}% +\pgfsetdash{}{0pt}% +\pgfsys@defobject{currentmarker}{\pgfqpoint{0.000000in}{-0.048611in}}{\pgfqpoint{0.000000in}{0.000000in}}{% +\pgfpathmoveto{\pgfqpoint{0.000000in}{0.000000in}}% +\pgfpathlineto{\pgfqpoint{0.000000in}{-0.048611in}}% +\pgfusepath{stroke,fill}% +}% +\begin{pgfscope}% +\pgfsys@transformshift{0.905974in}{0.463273in}% +\pgfsys@useobject{currentmarker}{}% +\end{pgfscope}% +\end{pgfscope}% +\begin{pgfscope}% +\definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetstrokecolor{textcolor}% +\pgfsetfillcolor{textcolor}% +\pgftext[x=0.905974in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle 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+\pgfpathlineto{\pgfqpoint{0.000000in}{-0.048611in}}% +\pgfusepath{stroke,fill}% +}% +\begin{pgfscope}% +\pgfsys@transformshift{1.496326in}{0.463273in}% +\pgfsys@useobject{currentmarker}{}% +\end{pgfscope}% +\end{pgfscope}% +\begin{pgfscope}% +\definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetstrokecolor{textcolor}% +\pgfsetfillcolor{textcolor}% +\pgftext[x=1.496326in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-1}}\)}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfpathrectangle{\pgfqpoint{0.315623in}{0.463273in}}{\pgfqpoint{3.542109in}{1.842295in}}% +\pgfusepath{clip}% +\pgfsetrectcap% +\pgfsetroundjoin% +\pgfsetlinewidth{0.803000pt}% +\definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% +\pgfsetstrokecolor{currentstroke}% +\pgfsetdash{}{0pt}% +\pgfpathmoveto{\pgfqpoint{2.086677in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{2.086677in}{2.305568in}}% +\pgfusepath{stroke}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfsetbuttcap% +\pgfsetroundjoin% +\definecolor{currentfill}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetfillcolor{currentfill}% +\pgfsetlinewidth{0.803000pt}% +\definecolor{currentstroke}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetstrokecolor{currentstroke}% +\pgfsetdash{}{0pt}% +\pgfsys@defobject{currentmarker}{\pgfqpoint{0.000000in}{-0.048611in}}{\pgfqpoint{0.000000in}{0.000000in}}{% +\pgfpathmoveto{\pgfqpoint{0.000000in}{0.000000in}}% +\pgfpathlineto{\pgfqpoint{0.000000in}{-0.048611in}}% +\pgfusepath{stroke,fill}% +}% +\begin{pgfscope}% +\pgfsys@transformshift{2.086677in}{0.463273in}% +\pgfsys@useobject{currentmarker}{}% +\end{pgfscope}% +\end{pgfscope}% +\begin{pgfscope}% +\definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetstrokecolor{textcolor}% +\pgfsetfillcolor{textcolor}% +\pgftext[x=2.086677in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{0}}\)}% +\end{pgfscope}% +\begin{pgfscope}% 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+\begin{pgfscope}% +\pgfsys@transformshift{2.677029in}{0.463273in}% +\pgfsys@useobject{currentmarker}{}% +\end{pgfscope}% +\end{pgfscope}% +\begin{pgfscope}% +\definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetstrokecolor{textcolor}% +\pgfsetfillcolor{textcolor}% +\pgftext[x=2.677029in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{1}}\)}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfpathrectangle{\pgfqpoint{0.315623in}{0.463273in}}{\pgfqpoint{3.542109in}{1.842295in}}% +\pgfusepath{clip}% +\pgfsetrectcap% +\pgfsetroundjoin% +\pgfsetlinewidth{0.803000pt}% +\definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% +\pgfsetstrokecolor{currentstroke}% +\pgfsetdash{}{0pt}% +\pgfpathmoveto{\pgfqpoint{3.267380in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{3.267380in}{2.305568in}}% +\pgfusepath{stroke}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfsetbuttcap% +\pgfsetroundjoin% +\definecolor{currentfill}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetfillcolor{currentfill}% +\pgfsetlinewidth{0.803000pt}% +\definecolor{currentstroke}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetstrokecolor{currentstroke}% +\pgfsetdash{}{0pt}% +\pgfsys@defobject{currentmarker}{\pgfqpoint{0.000000in}{-0.048611in}}{\pgfqpoint{0.000000in}{0.000000in}}{% +\pgfpathmoveto{\pgfqpoint{0.000000in}{0.000000in}}% +\pgfpathlineto{\pgfqpoint{0.000000in}{-0.048611in}}% +\pgfusepath{stroke,fill}% +}% +\begin{pgfscope}% +\pgfsys@transformshift{3.267380in}{0.463273in}% +\pgfsys@useobject{currentmarker}{}% +\end{pgfscope}% +\end{pgfscope}% +\begin{pgfscope}% +\definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetstrokecolor{textcolor}% +\pgfsetfillcolor{textcolor}% +\pgftext[x=3.267380in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{2}}\)}% +\end{pgfscope}% +\begin{pgfscope}% 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\(\displaystyle z= 4.5\)}% +\end{pgfscope}% +\end{pgfpicture}% +\makeatother% +\endgroup% diff --git a/buch/papers/laguerre/images/integrand_exp.pgf b/buch/papers/laguerre/images/integrand_exp.pgf new file mode 100644 index 0000000..34dcd90 --- /dev/null +++ b/buch/papers/laguerre/images/integrand_exp.pgf @@ -0,0 +1,1916 @@ +%% Creator: Matplotlib, PGF backend +%% +%% To include the figure in your LaTeX document, write +%% \input{.pgf} +%% +%% Make sure the required packages are loaded in your preamble +%% \usepackage{pgf} +%% +%% Also ensure that all the required font packages are loaded; for instance, +%% the lmodern package is sometimes necessary when using math font. +%% \usepackage{lmodern} +%% +%% Figures using additional raster images can only be included by \input if +%% they are in the same directory as the main LaTeX file. For loading figures +%% from other directories you can use the `import` package +%% \usepackage{import} +%% +%% and then include the figures with +%% \import{}{.pgf} +%% +%% Matplotlib used the following preamble +%% \usepackage{fontspec} +%% \setmainfont{DejaVuSerif.ttf}[Path=\detokenize{/home/mup/.local/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}] +%% \setsansfont{DejaVuSans.ttf}[Path=\detokenize{/home/mup/.local/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}] +%% \setmonofont{DejaVuSansMono.ttf}[Path=\detokenize{/home/mup/.local/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}] +%% +\begingroup% +\makeatletter% +\begin{pgfpicture}% +\pgfpathrectangle{\pgfpointorigin}{\pgfqpoint{4.000000in}{2.400000in}}% +\pgfusepath{use as bounding box, clip}% +\begin{pgfscope}% +\pgfsetbuttcap% +\pgfsetmiterjoin% +\definecolor{currentfill}{rgb}{1.000000,1.000000,1.000000}% +\pgfsetfillcolor{currentfill}% +\pgfsetlinewidth{0.000000pt}% 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all the required font packages are loaded; for instance, -%% the lmodern package is sometimes necessary when using math font. -%% \usepackage{lmodern} -%% -%% Figures using additional raster images can only be included by \input if -%% they are in the same directory as the main LaTeX file. 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necessary when using math font. +%% \usepackage{lmodern} +%% +%% Figures using additional raster images can only be included by \input if +%% they are in the same directory as the main LaTeX file. For loading figures +%% from other directories you can use the `import` package +%% \usepackage{import} +%% +%% and then include the figures with +%% \import{}{.pgf} +%% +%% Matplotlib used the following preamble +%% \usepackage{fontspec} +%% \setmainfont{DejaVuSerif.ttf}[Path=\detokenize{/home/mup/.local/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}] +%% \setsansfont{DejaVuSans.ttf}[Path=\detokenize{/home/mup/.local/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}] +%% \setmonofont{DejaVuSansMono.ttf}[Path=\detokenize{/home/mup/.local/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}] +%% +\begingroup% +\makeatletter% +\begin{pgfpicture}% +\pgfpathrectangle{\pgfpointorigin}{\pgfqpoint{6.000000in}{4.000000in}}% +\pgfusepath{use as bounding box, clip}% +\begin{pgfscope}% +\pgfsetbuttcap% +\pgfsetmiterjoin% +\definecolor{currentfill}{rgb}{1.000000,1.000000,1.000000}% +\pgfsetfillcolor{currentfill}% +\pgfsetlinewidth{0.000000pt}% 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packages are loaded; for instance, -%% the lmodern package is sometimes necessary when using math font. -%% \usepackage{lmodern} -%% -%% Figures using additional raster images can only be included by \input if -%% they are in the same directory as the main LaTeX file. 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-\pgfpathlineto{\pgfqpoint{4.236813in}{2.927061in}}% -\pgfpathlineto{\pgfqpoint{4.260481in}{2.914879in}}% -\pgfpathlineto{\pgfqpoint{4.284148in}{2.900260in}}% -\pgfpathlineto{\pgfqpoint{4.307816in}{2.883148in}}% -\pgfpathlineto{\pgfqpoint{4.331484in}{2.863488in}}% -\pgfpathlineto{\pgfqpoint{4.355152in}{2.841228in}}% -\pgfpathlineto{\pgfqpoint{4.378820in}{2.816319in}}% -\pgfpathlineto{\pgfqpoint{4.402488in}{2.788714in}}% -\pgfpathlineto{\pgfqpoint{4.432073in}{2.750348in}}% -\pgfpathlineto{\pgfqpoint{4.461658in}{2.707620in}}% -\pgfpathlineto{\pgfqpoint{4.491243in}{2.660455in}}% -\pgfpathlineto{\pgfqpoint{4.520828in}{2.608787in}}% -\pgfpathlineto{\pgfqpoint{4.550413in}{2.552558in}}% -\pgfpathlineto{\pgfqpoint{4.579998in}{2.491717in}}% -\pgfpathlineto{\pgfqpoint{4.609583in}{2.426220in}}% -\pgfpathlineto{\pgfqpoint{4.639168in}{2.356035in}}% -\pgfpathlineto{\pgfqpoint{4.674669in}{2.265589in}}% -\pgfpathlineto{\pgfqpoint{4.710171in}{2.168330in}}% -\pgfpathlineto{\pgfqpoint{4.745673in}{2.064252in}}% -\pgfpathlineto{\pgfqpoint{4.781175in}{1.953370in}}% -\pgfpathlineto{\pgfqpoint{4.816677in}{1.835719in}}% -\pgfpathlineto{\pgfqpoint{4.858096in}{1.689983in}}% -\pgfpathlineto{\pgfqpoint{4.899515in}{1.535245in}}% -\pgfpathlineto{\pgfqpoint{4.940934in}{1.371677in}}% -\pgfpathlineto{\pgfqpoint{4.982353in}{1.199498in}}% -\pgfpathlineto{\pgfqpoint{5.029689in}{0.992518in}}% -\pgfpathlineto{\pgfqpoint{5.077024in}{0.775107in}}% -\pgfpathlineto{\pgfqpoint{5.124360in}{0.547814in}}% -\pgfpathlineto{\pgfqpoint{5.177613in}{0.281092in}}% -\pgfpathlineto{\pgfqpoint{5.225582in}{0.031670in}}% -\pgfpathlineto{\pgfqpoint{5.225582in}{0.031670in}}% -\pgfusepath{stroke}% -\end{pgfscope}% -\begin{pgfscope}% -\pgfsetrectcap% -\pgfsetmiterjoin% -\pgfsetlinewidth{0.803000pt}% -\definecolor{currentstroke}{rgb}{0.000000,0.000000,0.000000}% -\pgfsetstrokecolor{currentstroke}% -\pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.579040in}{0.041670in}}% -\pgfpathlineto{\pgfqpoint{0.579040in}{3.958330in}}% -\pgfusepath{stroke}% -\end{pgfscope}% -\begin{pgfscope}% -\pgfsetrectcap% -\pgfsetmiterjoin% -\pgfsetlinewidth{0.803000pt}% -\definecolor{currentstroke}{rgb}{0.000000,0.000000,0.000000}% -\pgfsetstrokecolor{currentstroke}% -\pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.041670in}{2.000000in}}% -\pgfpathlineto{\pgfqpoint{5.953330in}{2.000000in}}% -\pgfusepath{stroke}% -\end{pgfscope}% -\begin{pgfscope}% -\pgfsetbuttcap% -\pgfsetmiterjoin% -\definecolor{currentfill}{rgb}{1.000000,1.000000,1.000000}% -\pgfsetfillcolor{currentfill}% -\pgfsetfillopacity{0.800000}% -\pgfsetlinewidth{1.003750pt}% -\definecolor{currentstroke}{rgb}{0.800000,0.800000,0.800000}% -\pgfsetstrokecolor{currentstroke}% -\pgfsetstrokeopacity{0.800000}% -\pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.813961in}{0.080837in}}% -\pgfpathlineto{\pgfqpoint{2.944352in}{0.080837in}}% -\pgfpathquadraticcurveto{\pgfqpoint{2.977686in}{0.080837in}}{\pgfqpoint{2.977686in}{0.114170in}}% -\pgfpathlineto{\pgfqpoint{2.977686in}{1.076018in}}% -\pgfpathquadraticcurveto{\pgfqpoint{2.977686in}{1.109352in}}{\pgfqpoint{2.944352in}{1.109352in}}% -\pgfpathlineto{\pgfqpoint{0.813961in}{1.109352in}}% -\pgfpathquadraticcurveto{\pgfqpoint{0.780627in}{1.109352in}}{\pgfqpoint{0.780627in}{1.076018in}}% -\pgfpathlineto{\pgfqpoint{0.780627in}{0.114170in}}% -\pgfpathquadraticcurveto{\pgfqpoint{0.780627in}{0.080837in}}{\pgfqpoint{0.813961in}{0.080837in}}% -\pgfpathlineto{\pgfqpoint{0.813961in}{0.080837in}}% -\pgfpathclose% -\pgfusepath{stroke,fill}% -\end{pgfscope}% -\begin{pgfscope}% -\pgfsetrectcap% -\pgfsetroundjoin% -\pgfsetlinewidth{1.505625pt}% -\definecolor{currentstroke}{rgb}{0.121569,0.466667,0.705882}% -\pgfsetstrokecolor{currentstroke}% -\pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.847294in}{0.974391in}}% -\pgfpathlineto{\pgfqpoint{1.013961in}{0.974391in}}% -\pgfpathlineto{\pgfqpoint{1.180627in}{0.974391in}}% -\pgfusepath{stroke}% -\end{pgfscope}% -\begin{pgfscope}% -\definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% -\pgfsetstrokecolor{textcolor}% -\pgfsetfillcolor{textcolor}% -\pgftext[x=1.313961in,y=0.916057in,left,base]{\color{textcolor}\sffamily\fontsize{12.000000}{14.400000}\selectfont \(\displaystyle n=0\)}% -\end{pgfscope}% -\begin{pgfscope}% -\pgfsetrectcap% -\pgfsetroundjoin% -\pgfsetlinewidth{1.505625pt}% -\definecolor{currentstroke}{rgb}{1.000000,0.498039,0.054902}% -\pgfsetstrokecolor{currentstroke}% -\pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.847294in}{0.729762in}}% -\pgfpathlineto{\pgfqpoint{1.013961in}{0.729762in}}% -\pgfpathlineto{\pgfqpoint{1.180627in}{0.729762in}}% -\pgfusepath{stroke}% -\end{pgfscope}% -\begin{pgfscope}% -\definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% -\pgfsetstrokecolor{textcolor}% -\pgfsetfillcolor{textcolor}% 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-\definecolor{currentstroke}{rgb}{0.839216,0.152941,0.156863}% -\pgfsetstrokecolor{currentstroke}% -\pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.847294in}{0.240504in}}% -\pgfpathlineto{\pgfqpoint{1.013961in}{0.240504in}}% -\pgfpathlineto{\pgfqpoint{1.180627in}{0.240504in}}% -\pgfusepath{stroke}% -\end{pgfscope}% -\begin{pgfscope}% -\definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% -\pgfsetstrokecolor{textcolor}% -\pgfsetfillcolor{textcolor}% -\pgftext[x=1.313961in,y=0.182171in,left,base]{\color{textcolor}\sffamily\fontsize{12.000000}{14.400000}\selectfont \(\displaystyle n=3\)}% -\end{pgfscope}% -\begin{pgfscope}% -\pgfsetrectcap% -\pgfsetroundjoin% -\pgfsetlinewidth{1.505625pt}% -\definecolor{currentstroke}{rgb}{0.580392,0.403922,0.741176}% -\pgfsetstrokecolor{currentstroke}% -\pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{2.045823in}{0.974391in}}% -\pgfpathlineto{\pgfqpoint{2.212490in}{0.974391in}}% -\pgfpathlineto{\pgfqpoint{2.379157in}{0.974391in}}% -\pgfusepath{stroke}% -\end{pgfscope}% -\begin{pgfscope}% -\definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% -\pgfsetstrokecolor{textcolor}% -\pgfsetfillcolor{textcolor}% -\pgftext[x=2.512490in,y=0.916057in,left,base]{\color{textcolor}\sffamily\fontsize{12.000000}{14.400000}\selectfont \(\displaystyle n=4\)}% -\end{pgfscope}% -\begin{pgfscope}% -\pgfsetrectcap% -\pgfsetroundjoin% -\pgfsetlinewidth{1.505625pt}% -\definecolor{currentstroke}{rgb}{0.549020,0.337255,0.294118}% -\pgfsetstrokecolor{currentstroke}% -\pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{2.045823in}{0.729762in}}% -\pgfpathlineto{\pgfqpoint{2.212490in}{0.729762in}}% -\pgfpathlineto{\pgfqpoint{2.379157in}{0.729762in}}% -\pgfusepath{stroke}% -\end{pgfscope}% -\begin{pgfscope}% -\definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% -\pgfsetstrokecolor{textcolor}% -\pgfsetfillcolor{textcolor}% -\pgftext[x=2.512490in,y=0.671429in,left,base]{\color{textcolor}\sffamily\fontsize{12.000000}{14.400000}\selectfont \(\displaystyle n=5\)}% -\end{pgfscope}% -\begin{pgfscope}% -\pgfsetrectcap% -\pgfsetroundjoin% -\pgfsetlinewidth{1.505625pt}% -\definecolor{currentstroke}{rgb}{0.890196,0.466667,0.760784}% -\pgfsetstrokecolor{currentstroke}% -\pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{2.045823in}{0.485133in}}% -\pgfpathlineto{\pgfqpoint{2.212490in}{0.485133in}}% -\pgfpathlineto{\pgfqpoint{2.379157in}{0.485133in}}% -\pgfusepath{stroke}% -\end{pgfscope}% -\begin{pgfscope}% -\definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% -\pgfsetstrokecolor{textcolor}% -\pgfsetfillcolor{textcolor}% -\pgftext[x=2.512490in,y=0.426800in,left,base]{\color{textcolor}\sffamily\fontsize{12.000000}{14.400000}\selectfont \(\displaystyle n=6\)}% -\end{pgfscope}% -\begin{pgfscope}% -\pgfsetrectcap% -\pgfsetroundjoin% -\pgfsetlinewidth{1.505625pt}% -\definecolor{currentstroke}{rgb}{0.498039,0.498039,0.498039}% -\pgfsetstrokecolor{currentstroke}% -\pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{2.045823in}{0.240504in}}% -\pgfpathlineto{\pgfqpoint{2.212490in}{0.240504in}}% -\pgfpathlineto{\pgfqpoint{2.379157in}{0.240504in}}% -\pgfusepath{stroke}% -\end{pgfscope}% -\begin{pgfscope}% -\definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% -\pgfsetstrokecolor{textcolor}% -\pgfsetfillcolor{textcolor}% -\pgftext[x=2.512490in,y=0.182171in,left,base]{\color{textcolor}\sffamily\fontsize{12.000000}{14.400000}\selectfont \(\displaystyle n=7\)}% -\end{pgfscope}% -\end{pgfpicture}% -\makeatother% -\endgroup% diff --git a/buch/papers/laguerre/images/rel_error_mirror.pgf b/buch/papers/laguerre/images/rel_error_mirror.pgf index de1cd53..45d502e 100644 --- a/buch/papers/laguerre/images/rel_error_mirror.pgf +++ b/buch/papers/laguerre/images/rel_error_mirror.pgf @@ -56,16 +56,16 @@ \pgfsetstrokecolor{currentstroke}% \pgfsetstrokeopacity{0.000000}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.672226in}{0.463273in}}% +\pgfpathmoveto{\pgfqpoint{0.482257in}{0.463273in}}% \pgfpathlineto{\pgfqpoint{4.869965in}{0.463273in}}% \pgfpathlineto{\pgfqpoint{4.869965in}{2.458330in}}% -\pgfpathlineto{\pgfqpoint{0.672226in}{2.458330in}}% -\pgfpathlineto{\pgfqpoint{0.672226in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{0.482257in}{2.458330in}}% +\pgfpathlineto{\pgfqpoint{0.482257in}{0.463273in}}% \pgfpathclose% \pgfusepath{fill}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -73,8 +73,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.672226in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{0.672226in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{0.482258in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{0.482258in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -92,7 +92,7 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{0.672226in}{0.463273in}% +\pgfsys@transformshift{0.482258in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% @@ -100,10 +100,10 @@ \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=0.672226in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \ensuremath{-}15}% +\pgftext[x=0.482258in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \ensuremath{-}15}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -111,8 +111,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{1.371849in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{1.371849in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{1.213542in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{1.213542in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -130,7 +130,7 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{1.371849in}{0.463273in}% +\pgfsys@transformshift{1.213542in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% @@ -138,10 +138,10 @@ \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=1.371849in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \ensuremath{-}10}% +\pgftext[x=1.213542in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \ensuremath{-}10}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -149,8 +149,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{2.071472in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{2.071472in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{1.944827in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{1.944827in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -168,7 +168,7 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{2.071472in}{0.463273in}% +\pgfsys@transformshift{1.944827in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% @@ -176,10 +176,10 @@ \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=2.071472in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \ensuremath{-}5}% +\pgftext[x=1.944827in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \ensuremath{-}5}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -187,8 +187,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{2.771095in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{2.771095in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{2.676111in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{2.676111in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -206,7 +206,7 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{2.771095in}{0.463273in}% +\pgfsys@transformshift{2.676111in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% @@ -214,10 +214,10 @@ \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=2.771095in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 0}% +\pgftext[x=2.676111in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 0}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -225,8 +225,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{3.470718in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{3.470718in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{3.407396in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{3.407396in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -244,7 +244,7 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{3.470718in}{0.463273in}% +\pgfsys@transformshift{3.407396in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% @@ -252,10 +252,10 @@ \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=3.470718in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 5}% +\pgftext[x=3.407396in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 5}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -263,8 +263,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{4.170342in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{4.170342in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{4.138680in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{4.138680in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -282,7 +282,7 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{4.170342in}{0.463273in}% +\pgfsys@transformshift{4.138680in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% @@ -290,10 +290,10 @@ \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=4.170342in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 10}% +\pgftext[x=4.138680in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 10}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -331,7 +331,7 @@ \pgftext[x=4.869965in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 15}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -339,8 +339,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.812150in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{0.812150in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{0.628514in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{0.628514in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -358,12 +358,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{0.812150in}{0.463273in}% +\pgfsys@transformshift{0.628514in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -371,8 +371,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.952075in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{0.952075in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{0.774771in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{0.774771in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -390,12 +390,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{0.952075in}{0.463273in}% +\pgfsys@transformshift{0.774771in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -403,8 +403,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{1.092000in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{1.092000in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{0.921028in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{0.921028in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -422,12 +422,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{1.092000in}{0.463273in}% +\pgfsys@transformshift{0.921028in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -435,8 +435,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{1.231924in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{1.231924in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{1.067285in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{1.067285in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -454,12 +454,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{1.231924in}{0.463273in}% +\pgfsys@transformshift{1.067285in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -467,8 +467,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{1.511774in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{1.511774in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{1.359799in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{1.359799in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -486,12 +486,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{1.511774in}{0.463273in}% +\pgfsys@transformshift{1.359799in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -499,8 +499,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{1.651698in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{1.651698in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{1.506056in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{1.506056in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -518,12 +518,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{1.651698in}{0.463273in}% +\pgfsys@transformshift{1.506056in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -531,8 +531,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{1.791623in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{1.791623in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{1.652313in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{1.652313in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -550,12 +550,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{1.791623in}{0.463273in}% +\pgfsys@transformshift{1.652313in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -563,8 +563,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{1.931547in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{1.931547in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{1.798570in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{1.798570in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -582,12 +582,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{1.931547in}{0.463273in}% +\pgfsys@transformshift{1.798570in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -595,8 +595,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{2.211397in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{2.211397in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{2.091083in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{2.091083in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -614,12 +614,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{2.211397in}{0.463273in}% +\pgfsys@transformshift{2.091083in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -627,8 +627,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{2.351321in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{2.351321in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{2.237340in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{2.237340in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -646,12 +646,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{2.351321in}{0.463273in}% +\pgfsys@transformshift{2.237340in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -659,8 +659,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{2.491246in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{2.491246in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{2.383597in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{2.383597in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -678,12 +678,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{2.491246in}{0.463273in}% +\pgfsys@transformshift{2.383597in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -691,8 +691,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{2.631171in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{2.631171in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{2.529854in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{2.529854in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -710,12 +710,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{2.631171in}{0.463273in}% +\pgfsys@transformshift{2.529854in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -723,8 +723,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{2.911020in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{2.911020in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{2.822368in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{2.822368in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -742,12 +742,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{2.911020in}{0.463273in}% +\pgfsys@transformshift{2.822368in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -755,8 +755,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{3.050944in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{3.050944in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{2.968625in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{2.968625in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -774,12 +774,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{3.050944in}{0.463273in}% +\pgfsys@transformshift{2.968625in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -787,8 +787,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{3.190869in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{3.190869in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{3.114882in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{3.114882in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -806,12 +806,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{3.190869in}{0.463273in}% +\pgfsys@transformshift{3.114882in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -819,8 +819,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{3.330794in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{3.330794in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{3.261139in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{3.261139in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -838,12 +838,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{3.330794in}{0.463273in}% +\pgfsys@transformshift{3.261139in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -851,8 +851,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{3.610643in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{3.610643in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{3.553653in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{3.553653in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -870,12 +870,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{3.610643in}{0.463273in}% +\pgfsys@transformshift{3.553653in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -883,8 +883,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{3.750568in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{3.750568in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{3.699909in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{3.699909in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -902,12 +902,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{3.750568in}{0.463273in}% +\pgfsys@transformshift{3.699909in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -915,8 +915,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{3.890492in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{3.890492in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{3.846166in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{3.846166in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -934,12 +934,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{3.890492in}{0.463273in}% +\pgfsys@transformshift{3.846166in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -947,8 +947,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{4.030417in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{4.030417in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{3.992423in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{3.992423in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -966,12 +966,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{4.030417in}{0.463273in}% +\pgfsys@transformshift{3.992423in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -979,8 +979,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{4.310266in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{4.310266in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{4.284937in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{4.284937in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -998,12 +998,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{4.310266in}{0.463273in}% +\pgfsys@transformshift{4.284937in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -1011,8 +1011,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{4.450191in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{4.450191in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{4.431194in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{4.431194in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -1030,12 +1030,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{4.450191in}{0.463273in}% +\pgfsys@transformshift{4.431194in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -1043,8 +1043,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{4.590115in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{4.590115in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{4.577451in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{4.577451in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -1062,12 +1062,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{4.590115in}{0.463273in}% +\pgfsys@transformshift{4.577451in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -1075,8 +1075,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{4.730040in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{4.730040in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{4.723708in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{4.723708in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -1094,7 +1094,7 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{4.730040in}{0.463273in}% +\pgfsys@transformshift{4.723708in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% @@ -1102,10 +1102,10 @@ \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=2.771095in,y=0.176083in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle z\)}% +\pgftext[x=2.676111in,y=0.176083in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle z\)}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -1113,7 +1113,7 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.672226in}{0.463273in}}% +\pgfpathmoveto{\pgfqpoint{0.482257in}{0.463273in}}% \pgfpathlineto{\pgfqpoint{4.869965in}{0.463273in}}% \pgfusepath{stroke}% \end{pgfscope}% @@ -1132,7 +1132,7 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{0.672226in}{0.463273in}% +\pgfsys@transformshift{0.482257in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% @@ -1140,10 +1140,10 @@ \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=0.231638in, y=0.410512in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-11}}\)}% +\pgftext[x=0.041670in, y=0.410512in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-11}}\)}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -1151,7 +1151,7 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.672226in}{0.795783in}}% +\pgfpathmoveto{\pgfqpoint{0.482257in}{0.795783in}}% \pgfpathlineto{\pgfqpoint{4.869965in}{0.795783in}}% \pgfusepath{stroke}% \end{pgfscope}% @@ -1170,7 +1170,7 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{0.672226in}{0.795783in}% +\pgfsys@transformshift{0.482257in}{0.795783in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% @@ -1178,10 +1178,10 @@ \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=0.287001in, y=0.743021in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-9}}\)}% +\pgftext[x=0.097033in, y=0.743021in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-9}}\)}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -1189,7 +1189,7 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.672226in}{1.128292in}}% +\pgfpathmoveto{\pgfqpoint{0.482257in}{1.128292in}}% \pgfpathlineto{\pgfqpoint{4.869965in}{1.128292in}}% \pgfusepath{stroke}% \end{pgfscope}% @@ -1208,7 +1208,7 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{0.672226in}{1.128292in}% +\pgfsys@transformshift{0.482257in}{1.128292in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% @@ -1216,10 +1216,10 @@ \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=0.287001in, y=1.075531in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-7}}\)}% +\pgftext[x=0.097033in, y=1.075531in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-7}}\)}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -1227,7 +1227,7 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.672226in}{1.460802in}}% +\pgfpathmoveto{\pgfqpoint{0.482257in}{1.460802in}}% \pgfpathlineto{\pgfqpoint{4.869965in}{1.460802in}}% \pgfusepath{stroke}% \end{pgfscope}% @@ -1246,7 +1246,7 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{0.672226in}{1.460802in}% +\pgfsys@transformshift{0.482257in}{1.460802in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% @@ -1254,10 +1254,10 @@ \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=0.287001in, y=1.408040in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-5}}\)}% +\pgftext[x=0.097033in, y=1.408040in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-5}}\)}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -1265,7 +1265,7 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.672226in}{1.793311in}}% +\pgfpathmoveto{\pgfqpoint{0.482257in}{1.793311in}}% \pgfpathlineto{\pgfqpoint{4.869965in}{1.793311in}}% \pgfusepath{stroke}% \end{pgfscope}% @@ -1284,7 +1284,7 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{0.672226in}{1.793311in}% +\pgfsys@transformshift{0.482257in}{1.793311in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% @@ -1292,10 +1292,10 @@ \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=0.287001in, y=1.740550in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-3}}\)}% +\pgftext[x=0.097033in, y=1.740550in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-3}}\)}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -1303,7 +1303,7 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.672226in}{2.125821in}}% +\pgfpathmoveto{\pgfqpoint{0.482257in}{2.125821in}}% 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-\pgftext[x=1.100295in,y=1.756865in,left,base]{\color{textcolor}\sffamily\fontsize{8.330000}{9.996000}\selectfont \(\displaystyle n=8\)}% +\pgftext[x=0.996146in,y=1.616235in,left,base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle n=8\)}% \end{pgfscope}% \begin{pgfscope}% \pgfsetrectcap% @@ -3038,16 +3035,16 @@ \definecolor{currentstroke}{rgb}{0.580392,0.403922,0.741176}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.776351in}{1.627545in}}% -\pgfpathlineto{\pgfqpoint{0.892045in}{1.627545in}}% -\pgfpathlineto{\pgfqpoint{1.007740in}{1.627545in}}% +\pgfpathmoveto{\pgfqpoint{0.607257in}{1.460989in}}% +\pgfpathlineto{\pgfqpoint{0.746146in}{1.460989in}}% +\pgfpathlineto{\pgfqpoint{0.885035in}{1.460989in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=1.100295in,y=1.587052in,left,base]{\color{textcolor}\sffamily\fontsize{8.330000}{9.996000}\selectfont \(\displaystyle n=10\)}% +\pgftext[x=0.996146in,y=1.412378in,left,base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle n=10\)}% \end{pgfscope}% \end{pgfpicture}% \makeatother% diff --git a/buch/papers/laguerre/images/rel_error_range.pgf b/buch/papers/laguerre/images/rel_error_range.pgf index ff73501..7448afc 100644 --- a/buch/papers/laguerre/images/rel_error_range.pgf +++ b/buch/papers/laguerre/images/rel_error_range.pgf @@ -27,7 +27,7 @@ \begingroup% \makeatletter% \begin{pgfpicture}% -\pgfpathrectangle{\pgfpointorigin}{\pgfqpoint{6.400000in}{4.800000in}}% +\pgfpathrectangle{\pgfpointorigin}{\pgfqpoint{5.000000in}{2.500000in}}% \pgfusepath{use as bounding box, clip}% \begin{pgfscope}% \pgfsetbuttcap% @@ -39,9 +39,9 @@ \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% \pgfpathmoveto{\pgfqpoint{0.000000in}{0.000000in}}% -\pgfpathlineto{\pgfqpoint{6.400000in}{0.000000in}}% -\pgfpathlineto{\pgfqpoint{6.400000in}{4.800000in}}% -\pgfpathlineto{\pgfqpoint{0.000000in}{4.800000in}}% +\pgfpathlineto{\pgfqpoint{5.000000in}{0.000000in}}% +\pgfpathlineto{\pgfqpoint{5.000000in}{2.500000in}}% +\pgfpathlineto{\pgfqpoint{0.000000in}{2.500000in}}% \pgfpathlineto{\pgfqpoint{0.000000in}{0.000000in}}% \pgfpathclose% \pgfusepath{fill}% @@ -56,16 +56,16 @@ \pgfsetstrokecolor{currentstroke}% \pgfsetstrokeopacity{0.000000}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.426895in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{6.358330in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{6.358330in}{4.758330in}}% -\pgfpathlineto{\pgfqpoint{0.426895in}{4.758330in}}% -\pgfpathlineto{\pgfqpoint{0.426895in}{0.463273in}}% +\pgfpathmoveto{\pgfqpoint{0.482257in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{4.958330in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{4.958330in}{2.458330in}}% +\pgfpathlineto{\pgfqpoint{0.482257in}{2.458330in}}% +\pgfpathlineto{\pgfqpoint{0.482257in}{0.463273in}}% \pgfpathclose% \pgfusepath{fill}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{5.931435in}{4.295057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.476072in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -73,8 +73,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{1.020038in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{1.020038in}{4.758330in}}% +\pgfpathmoveto{\pgfqpoint{0.929865in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{0.929865in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -92,7 +92,7 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{1.020038in}{0.463273in}% +\pgfsys@transformshift{0.929865in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% @@ -100,10 +100,10 @@ \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=1.020038in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \ensuremath{-}4}% +\pgftext[x=0.929865in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \ensuremath{-}4}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{5.931435in}{4.295057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.476072in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -111,8 +111,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{2.206325in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{2.206325in}{4.758330in}}% +\pgfpathmoveto{\pgfqpoint{1.825079in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{1.825079in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -130,7 +130,7 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{2.206325in}{0.463273in}% +\pgfsys@transformshift{1.825079in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% @@ -138,10 +138,10 @@ \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=2.206325in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \ensuremath{-}2}% +\pgftext[x=1.825079in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \ensuremath{-}2}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{5.931435in}{4.295057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.476072in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -149,8 +149,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{3.392612in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{3.392612in}{4.758330in}}% +\pgfpathmoveto{\pgfqpoint{2.720294in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{2.720294in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -168,7 +168,7 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{3.392612in}{0.463273in}% +\pgfsys@transformshift{2.720294in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% @@ -176,10 +176,10 @@ \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=3.392612in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 0}% +\pgftext[x=2.720294in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 0}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{5.931435in}{4.295057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.476072in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -187,8 +187,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{4.578899in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{4.578899in}{4.758330in}}% +\pgfpathmoveto{\pgfqpoint{3.615508in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{3.615508in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -206,7 +206,7 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{4.578899in}{0.463273in}% +\pgfsys@transformshift{3.615508in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% @@ -214,10 +214,10 @@ \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=4.578899in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 2}% +\pgftext[x=3.615508in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 2}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{5.931435in}{4.295057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.476072in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -225,8 +225,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{5.765187in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{5.765187in}{4.758330in}}% +\pgfpathmoveto{\pgfqpoint{4.510723in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{4.510723in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -244,7 +244,7 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{5.765187in}{0.463273in}% +\pgfsys@transformshift{4.510723in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% @@ -252,16 +252,176 @@ \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=5.765187in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 4}% +\pgftext[x=4.510723in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 4}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.476072in}{1.995057in}}% +\pgfusepath{clip}% +\pgfsetrectcap% +\pgfsetroundjoin% +\pgfsetlinewidth{0.803000pt}% +\definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% +\pgfsetstrokecolor{currentstroke}% +\pgfsetdash{}{0pt}% +\pgfpathmoveto{\pgfqpoint{0.482257in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{0.482257in}{2.458330in}}% +\pgfusepath{stroke}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfsetbuttcap% +\pgfsetroundjoin% +\definecolor{currentfill}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetfillcolor{currentfill}% +\pgfsetlinewidth{0.602250pt}% +\definecolor{currentstroke}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetstrokecolor{currentstroke}% +\pgfsetdash{}{0pt}% +\pgfsys@defobject{currentmarker}{\pgfqpoint{0.000000in}{-0.027778in}}{\pgfqpoint{0.000000in}{0.000000in}}{% +\pgfpathmoveto{\pgfqpoint{0.000000in}{0.000000in}}% +\pgfpathlineto{\pgfqpoint{0.000000in}{-0.027778in}}% +\pgfusepath{stroke,fill}% +}% +\begin{pgfscope}% +\pgfsys@transformshift{0.482257in}{0.463273in}% +\pgfsys@useobject{currentmarker}{}% +\end{pgfscope}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.476072in}{1.995057in}}% +\pgfusepath{clip}% +\pgfsetrectcap% +\pgfsetroundjoin% +\pgfsetlinewidth{0.803000pt}% +\definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% +\pgfsetstrokecolor{currentstroke}% +\pgfsetdash{}{0pt}% +\pgfpathmoveto{\pgfqpoint{1.377472in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{1.377472in}{2.458330in}}% +\pgfusepath{stroke}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfsetbuttcap% +\pgfsetroundjoin% +\definecolor{currentfill}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetfillcolor{currentfill}% +\pgfsetlinewidth{0.602250pt}% +\definecolor{currentstroke}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetstrokecolor{currentstroke}% +\pgfsetdash{}{0pt}% +\pgfsys@defobject{currentmarker}{\pgfqpoint{0.000000in}{-0.027778in}}{\pgfqpoint{0.000000in}{0.000000in}}{% +\pgfpathmoveto{\pgfqpoint{0.000000in}{0.000000in}}% +\pgfpathlineto{\pgfqpoint{0.000000in}{-0.027778in}}% +\pgfusepath{stroke,fill}% +}% +\begin{pgfscope}% +\pgfsys@transformshift{1.377472in}{0.463273in}% +\pgfsys@useobject{currentmarker}{}% +\end{pgfscope}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.476072in}{1.995057in}}% +\pgfusepath{clip}% +\pgfsetrectcap% +\pgfsetroundjoin% +\pgfsetlinewidth{0.803000pt}% +\definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% +\pgfsetstrokecolor{currentstroke}% +\pgfsetdash{}{0pt}% +\pgfpathmoveto{\pgfqpoint{2.272687in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{2.272687in}{2.458330in}}% +\pgfusepath{stroke}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfsetbuttcap% +\pgfsetroundjoin% +\definecolor{currentfill}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetfillcolor{currentfill}% +\pgfsetlinewidth{0.602250pt}% +\definecolor{currentstroke}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetstrokecolor{currentstroke}% +\pgfsetdash{}{0pt}% +\pgfsys@defobject{currentmarker}{\pgfqpoint{0.000000in}{-0.027778in}}{\pgfqpoint{0.000000in}{0.000000in}}{% +\pgfpathmoveto{\pgfqpoint{0.000000in}{0.000000in}}% +\pgfpathlineto{\pgfqpoint{0.000000in}{-0.027778in}}% +\pgfusepath{stroke,fill}% +}% +\begin{pgfscope}% +\pgfsys@transformshift{2.272687in}{0.463273in}% +\pgfsys@useobject{currentmarker}{}% +\end{pgfscope}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.476072in}{1.995057in}}% +\pgfusepath{clip}% +\pgfsetrectcap% +\pgfsetroundjoin% +\pgfsetlinewidth{0.803000pt}% +\definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% +\pgfsetstrokecolor{currentstroke}% +\pgfsetdash{}{0pt}% +\pgfpathmoveto{\pgfqpoint{3.167901in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{3.167901in}{2.458330in}}% +\pgfusepath{stroke}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfsetbuttcap% +\pgfsetroundjoin% +\definecolor{currentfill}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetfillcolor{currentfill}% +\pgfsetlinewidth{0.602250pt}% +\definecolor{currentstroke}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetstrokecolor{currentstroke}% +\pgfsetdash{}{0pt}% +\pgfsys@defobject{currentmarker}{\pgfqpoint{0.000000in}{-0.027778in}}{\pgfqpoint{0.000000in}{0.000000in}}{% +\pgfpathmoveto{\pgfqpoint{0.000000in}{0.000000in}}% +\pgfpathlineto{\pgfqpoint{0.000000in}{-0.027778in}}% +\pgfusepath{stroke,fill}% +}% +\begin{pgfscope}% +\pgfsys@transformshift{3.167901in}{0.463273in}% +\pgfsys@useobject{currentmarker}{}% +\end{pgfscope}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.476072in}{1.995057in}}% +\pgfusepath{clip}% +\pgfsetrectcap% +\pgfsetroundjoin% +\pgfsetlinewidth{0.803000pt}% +\definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% +\pgfsetstrokecolor{currentstroke}% +\pgfsetdash{}{0pt}% +\pgfpathmoveto{\pgfqpoint{4.063116in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{4.063116in}{2.458330in}}% +\pgfusepath{stroke}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfsetbuttcap% +\pgfsetroundjoin% +\definecolor{currentfill}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetfillcolor{currentfill}% +\pgfsetlinewidth{0.602250pt}% +\definecolor{currentstroke}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetstrokecolor{currentstroke}% +\pgfsetdash{}{0pt}% +\pgfsys@defobject{currentmarker}{\pgfqpoint{0.000000in}{-0.027778in}}{\pgfqpoint{0.000000in}{0.000000in}}{% +\pgfpathmoveto{\pgfqpoint{0.000000in}{0.000000in}}% +\pgfpathlineto{\pgfqpoint{0.000000in}{-0.027778in}}% +\pgfusepath{stroke,fill}% +}% +\begin{pgfscope}% +\pgfsys@transformshift{4.063116in}{0.463273in}% +\pgfsys@useobject{currentmarker}{}% +\end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=3.392612in,y=0.176083in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle z\)}% +\pgftext[x=2.720294in,y=0.176083in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle z\)}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{5.931435in}{4.295057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.476072in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -269,8 +429,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.426895in}{1.756214in}}% -\pgfpathlineto{\pgfqpoint{6.358330in}{1.756214in}}% +\pgfpathmoveto{\pgfqpoint{0.482257in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{4.958330in}{0.463273in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -288,7 +448,7 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{0.426895in}{1.756214in}% +\pgfsys@transformshift{0.482257in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% @@ -296,10 +456,10 @@ \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=0.041670in, y=1.703453in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-8}}\)}% +\pgftext[x=0.041670in, y=0.410512in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-11}}\)}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{5.931435in}{4.295057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.476072in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -307,8 +467,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.426895in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{6.358330in}{0.463273in}}% +\pgfpathmoveto{\pgfqpoint{0.482257in}{0.870428in}}% +\pgfpathlineto{\pgfqpoint{4.958330in}{0.870428in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -316,22 +476,28 @@ \pgfsetroundjoin% \definecolor{currentfill}{rgb}{0.000000,0.000000,0.000000}% \pgfsetfillcolor{currentfill}% -\pgfsetlinewidth{0.602250pt}% +\pgfsetlinewidth{0.803000pt}% \definecolor{currentstroke}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfsys@defobject{currentmarker}{\pgfqpoint{-0.027778in}{0.000000in}}{\pgfqpoint{-0.000000in}{0.000000in}}{% +\pgfsys@defobject{currentmarker}{\pgfqpoint{-0.048611in}{0.000000in}}{\pgfqpoint{-0.000000in}{0.000000in}}{% \pgfpathmoveto{\pgfqpoint{-0.000000in}{0.000000in}}% -\pgfpathlineto{\pgfqpoint{-0.027778in}{0.000000in}}% +\pgfpathlineto{\pgfqpoint{-0.048611in}{0.000000in}}% \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{0.426895in}{0.463273in}% +\pgfsys@transformshift{0.482257in}{0.870428in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{5.931435in}{4.295057in}}% +\definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetstrokecolor{textcolor}% +\pgfsetfillcolor{textcolor}% +\pgftext[x=0.097033in, y=0.817666in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-9}}\)}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.476072in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -339,8 +505,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.426895in}{0.803361in}}% -\pgfpathlineto{\pgfqpoint{6.358330in}{0.803361in}}% +\pgfpathmoveto{\pgfqpoint{0.482257in}{1.277582in}}% +\pgfpathlineto{\pgfqpoint{4.958330in}{1.277582in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -348,22 +514,28 @@ \pgfsetroundjoin% \definecolor{currentfill}{rgb}{0.000000,0.000000,0.000000}% \pgfsetfillcolor{currentfill}% -\pgfsetlinewidth{0.602250pt}% +\pgfsetlinewidth{0.803000pt}% \definecolor{currentstroke}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfsys@defobject{currentmarker}{\pgfqpoint{-0.027778in}{0.000000in}}{\pgfqpoint{-0.000000in}{0.000000in}}{% +\pgfsys@defobject{currentmarker}{\pgfqpoint{-0.048611in}{0.000000in}}{\pgfqpoint{-0.000000in}{0.000000in}}{% \pgfpathmoveto{\pgfqpoint{-0.000000in}{0.000000in}}% -\pgfpathlineto{\pgfqpoint{-0.027778in}{0.000000in}}% +\pgfpathlineto{\pgfqpoint{-0.048611in}{0.000000in}}% \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{0.426895in}{0.803361in}% +\pgfsys@transformshift{0.482257in}{1.277582in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{5.931435in}{4.295057in}}% +\definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetstrokecolor{textcolor}% +\pgfsetfillcolor{textcolor}% +\pgftext[x=0.097033in, y=1.224821in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-7}}\)}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.476072in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -371,8 +543,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.426895in}{1.090902in}}% -\pgfpathlineto{\pgfqpoint{6.358330in}{1.090902in}}% +\pgfpathmoveto{\pgfqpoint{0.482257in}{1.684737in}}% +\pgfpathlineto{\pgfqpoint{4.958330in}{1.684737in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -380,22 +552,28 @@ \pgfsetroundjoin% \definecolor{currentfill}{rgb}{0.000000,0.000000,0.000000}% \pgfsetfillcolor{currentfill}% -\pgfsetlinewidth{0.602250pt}% +\pgfsetlinewidth{0.803000pt}% \definecolor{currentstroke}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfsys@defobject{currentmarker}{\pgfqpoint{-0.027778in}{0.000000in}}{\pgfqpoint{-0.000000in}{0.000000in}}{% +\pgfsys@defobject{currentmarker}{\pgfqpoint{-0.048611in}{0.000000in}}{\pgfqpoint{-0.000000in}{0.000000in}}{% \pgfpathmoveto{\pgfqpoint{-0.000000in}{0.000000in}}% -\pgfpathlineto{\pgfqpoint{-0.027778in}{0.000000in}}% +\pgfpathlineto{\pgfqpoint{-0.048611in}{0.000000in}}% \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{0.426895in}{1.090902in}% +\pgfsys@transformshift{0.482257in}{1.684737in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{5.931435in}{4.295057in}}% +\definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetstrokecolor{textcolor}% +\pgfsetfillcolor{textcolor}% +\pgftext[x=0.097033in, y=1.631975in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-5}}\)}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.476072in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -403,8 +581,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.426895in}{1.339980in}}% -\pgfpathlineto{\pgfqpoint{6.358330in}{1.339980in}}% +\pgfpathmoveto{\pgfqpoint{0.482257in}{2.091891in}}% +\pgfpathlineto{\pgfqpoint{4.958330in}{2.091891in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -412,22 +590,28 @@ \pgfsetroundjoin% \definecolor{currentfill}{rgb}{0.000000,0.000000,0.000000}% \pgfsetfillcolor{currentfill}% -\pgfsetlinewidth{0.602250pt}% +\pgfsetlinewidth{0.803000pt}% \definecolor{currentstroke}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfsys@defobject{currentmarker}{\pgfqpoint{-0.027778in}{0.000000in}}{\pgfqpoint{-0.000000in}{0.000000in}}{% +\pgfsys@defobject{currentmarker}{\pgfqpoint{-0.048611in}{0.000000in}}{\pgfqpoint{-0.000000in}{0.000000in}}{% \pgfpathmoveto{\pgfqpoint{-0.000000in}{0.000000in}}% -\pgfpathlineto{\pgfqpoint{-0.027778in}{0.000000in}}% +\pgfpathlineto{\pgfqpoint{-0.048611in}{0.000000in}}% \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{0.426895in}{1.339980in}% +\pgfsys@transformshift{0.482257in}{2.091891in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{5.931435in}{4.295057in}}% +\definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetstrokecolor{textcolor}% +\pgfsetfillcolor{textcolor}% +\pgftext[x=0.097033in, y=2.039129in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-3}}\)}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.476072in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -435,8 +619,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.426895in}{1.559683in}}% -\pgfpathlineto{\pgfqpoint{6.358330in}{1.559683in}}% +\pgfpathmoveto{\pgfqpoint{0.482257in}{0.666851in}}% +\pgfpathlineto{\pgfqpoint{4.958330in}{0.666851in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -454,12 +638,18 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{0.426895in}{1.559683in}% +\pgfsys@transformshift{0.482257in}{0.666851in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{5.931435in}{4.295057in}}% +\definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetstrokecolor{textcolor}% +\pgfsetfillcolor{textcolor}% +\pgftext[x=0.063892in, y=0.614089in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-10}}\)}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.476072in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -467,8 +657,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.426895in}{3.049155in}}% -\pgfpathlineto{\pgfqpoint{6.358330in}{3.049155in}}% +\pgfpathmoveto{\pgfqpoint{0.482257in}{1.074005in}}% +\pgfpathlineto{\pgfqpoint{4.958330in}{1.074005in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -486,12 +676,18 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{0.426895in}{3.049155in}% +\pgfsys@transformshift{0.482257in}{1.074005in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{5.931435in}{4.295057in}}% +\definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetstrokecolor{textcolor}% +\pgfsetfillcolor{textcolor}% +\pgftext[x=0.119255in, y=1.021243in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-8}}\)}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.476072in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -499,8 +695,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.426895in}{3.805477in}}% -\pgfpathlineto{\pgfqpoint{6.358330in}{3.805477in}}% +\pgfpathmoveto{\pgfqpoint{0.482257in}{1.481159in}}% +\pgfpathlineto{\pgfqpoint{4.958330in}{1.481159in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -518,12 +714,18 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{0.426895in}{3.805477in}% +\pgfsys@transformshift{0.482257in}{1.481159in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{5.931435in}{4.295057in}}% +\definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetstrokecolor{textcolor}% +\pgfsetfillcolor{textcolor}% +\pgftext[x=0.119255in, y=1.428398in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-6}}\)}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.476072in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -531,8 +733,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.426895in}{4.342096in}}% -\pgfpathlineto{\pgfqpoint{6.358330in}{4.342096in}}% +\pgfpathmoveto{\pgfqpoint{0.482257in}{1.888314in}}% +\pgfpathlineto{\pgfqpoint{4.958330in}{1.888314in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -550,12 +752,18 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{0.426895in}{4.342096in}% +\pgfsys@transformshift{0.482257in}{1.888314in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{5.931435in}{4.295057in}}% +\definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetstrokecolor{textcolor}% +\pgfsetfillcolor{textcolor}% +\pgftext[x=0.119255in, y=1.835552in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-4}}\)}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.476072in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -563,8 +771,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.426895in}{4.758330in}}% -\pgfpathlineto{\pgfqpoint{6.358330in}{4.758330in}}% +\pgfpathmoveto{\pgfqpoint{0.482257in}{2.295468in}}% +\pgfpathlineto{\pgfqpoint{4.958330in}{2.295468in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -582,218 +790,1781 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{0.426895in}{4.758330in}% +\pgfsys@transformshift{0.482257in}{2.295468in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{5.931435in}{4.295057in}}% +\definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetstrokecolor{textcolor}% +\pgfsetfillcolor{textcolor}% +\pgftext[x=0.119255in, y=2.242707in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-2}}\)}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.476072in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% -\pgfsetlinewidth{3.011250pt}% +\pgfsetlinewidth{1.505625pt}% \definecolor{currentstroke}{rgb}{0.121569,0.466667,0.705882}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.458685in}{0.453273in}}% -\pgfpathlineto{\pgfqpoint{0.486507in}{1.638360in}}% -\pgfpathlineto{\pgfqpoint{0.516313in}{2.356782in}}% -\pgfpathlineto{\pgfqpoint{0.546120in}{2.840564in}}% -\pgfpathlineto{\pgfqpoint{0.575926in}{3.188428in}}% -\pgfpathlineto{\pgfqpoint{0.605732in}{3.443795in}}% -\pgfpathlineto{\pgfqpoint{0.635538in}{3.629171in}}% -\pgfpathlineto{\pgfqpoint{0.665344in}{3.757206in}}% -\pgfpathlineto{\pgfqpoint{0.695151in}{3.835102in}}% -\pgfpathlineto{\pgfqpoint{0.724957in}{3.866571in}}% -\pgfpathlineto{\pgfqpoint{0.754763in}{3.852698in}}% -\pgfpathlineto{\pgfqpoint{0.784569in}{3.776490in}}% -\pgfpathlineto{\pgfqpoint{0.814375in}{3.639548in}}% -\pgfpathlineto{\pgfqpoint{0.844182in}{3.444211in}}% -\pgfpathlineto{\pgfqpoint{0.873988in}{3.177116in}}% -\pgfpathlineto{\pgfqpoint{0.903794in}{2.814351in}}% -\pgfpathlineto{\pgfqpoint{0.933600in}{2.309221in}}% -\pgfpathlineto{\pgfqpoint{0.963406in}{1.553036in}}% -\pgfpathlineto{\pgfqpoint{0.987233in}{0.453273in}}% -\pgfpathmoveto{\pgfqpoint{1.052213in}{0.453273in}}% -\pgfpathlineto{\pgfqpoint{1.052825in}{0.544877in}}% -\pgfpathlineto{\pgfqpoint{1.082631in}{1.726239in}}% -\pgfpathlineto{\pgfqpoint{1.112437in}{2.413343in}}% -\pgfpathlineto{\pgfqpoint{1.142244in}{2.880497in}}% -\pgfpathlineto{\pgfqpoint{1.172050in}{3.217645in}}% -\pgfpathlineto{\pgfqpoint{1.201856in}{3.465216in}}% -\pgfpathlineto{\pgfqpoint{1.231662in}{3.644402in}}% -\pgfpathlineto{\pgfqpoint{1.261469in}{3.767168in}}% -\pgfpathlineto{\pgfqpoint{1.291275in}{3.840302in}}% -\pgfpathlineto{\pgfqpoint{1.321081in}{3.867227in}}% -\pgfpathlineto{\pgfqpoint{1.350887in}{3.848787in}}% -\pgfpathlineto{\pgfqpoint{1.380693in}{3.765173in}}% -\pgfpathlineto{\pgfqpoint{1.410500in}{3.622808in}}% -\pgfpathlineto{\pgfqpoint{1.440306in}{3.421020in}}% -\pgfpathlineto{\pgfqpoint{1.470112in}{3.145674in}}% -\pgfpathlineto{\pgfqpoint{1.499918in}{2.771335in}}% -\pgfpathlineto{\pgfqpoint{1.529724in}{2.247687in}}% -\pgfpathlineto{\pgfqpoint{1.559531in}{1.454638in}}% -\pgfpathlineto{\pgfqpoint{1.579481in}{0.453273in}}% -\pgfpathmoveto{\pgfqpoint{1.646693in}{0.453273in}}% -\pgfpathlineto{\pgfqpoint{1.648949in}{0.705347in}}% -\pgfpathlineto{\pgfqpoint{1.678755in}{1.809737in}}% -\pgfpathlineto{\pgfqpoint{1.708562in}{2.467810in}}% -\pgfpathlineto{\pgfqpoint{1.738368in}{2.919164in}}% -\pgfpathlineto{\pgfqpoint{1.768174in}{3.245981in}}% -\pgfpathlineto{\pgfqpoint{1.797980in}{3.485961in}}% -\pgfpathlineto{\pgfqpoint{1.827786in}{3.659073in}}% -\pgfpathlineto{\pgfqpoint{1.857593in}{3.776635in}}% -\pgfpathlineto{\pgfqpoint{1.887399in}{3.845041in}}% -\pgfpathlineto{\pgfqpoint{1.917205in}{3.867431in}}% -\pgfpathlineto{\pgfqpoint{1.947011in}{3.844410in}}% -\pgfpathlineto{\pgfqpoint{1.976818in}{3.753346in}}% -\pgfpathlineto{\pgfqpoint{2.006624in}{3.605478in}}% -\pgfpathlineto{\pgfqpoint{2.036430in}{3.397101in}}% -\pgfpathlineto{\pgfqpoint{2.066236in}{3.113261in}}% -\pgfpathlineto{\pgfqpoint{2.096042in}{2.726873in}}% -\pgfpathlineto{\pgfqpoint{2.125849in}{2.183623in}}% -\pgfpathlineto{\pgfqpoint{2.155655in}{1.350328in}}% -\pgfpathlineto{\pgfqpoint{2.171959in}{0.453273in}}% -\pgfpathmoveto{\pgfqpoint{2.240700in}{0.453273in}}% -\pgfpathlineto{\pgfqpoint{2.245073in}{0.852675in}}% -\pgfpathlineto{\pgfqpoint{2.274880in}{1.889231in}}% -\pgfpathlineto{\pgfqpoint{2.304686in}{2.520306in}}% -\pgfpathlineto{\pgfqpoint{2.334492in}{2.956617in}}% -\pgfpathlineto{\pgfqpoint{2.364298in}{3.273462in}}% -\pgfpathlineto{\pgfqpoint{2.394104in}{3.506044in}}% -\pgfpathlineto{\pgfqpoint{2.423911in}{3.673193in}}% -\pgfpathlineto{\pgfqpoint{2.453717in}{3.785614in}}% -\pgfpathlineto{\pgfqpoint{2.483523in}{3.849322in}}% -\pgfpathlineto{\pgfqpoint{2.513329in}{3.867183in}}% -\pgfpathlineto{\pgfqpoint{2.543135in}{3.839563in}}% -\pgfpathlineto{\pgfqpoint{2.572942in}{3.741003in}}% -\pgfpathlineto{\pgfqpoint{2.602748in}{3.587548in}}% -\pgfpathlineto{\pgfqpoint{2.632554in}{3.372437in}}% -\pgfpathlineto{\pgfqpoint{2.662360in}{3.079842in}}% -\pgfpathlineto{\pgfqpoint{2.692166in}{2.680894in}}% -\pgfpathlineto{\pgfqpoint{2.721973in}{2.116850in}}% -\pgfpathlineto{\pgfqpoint{2.751779in}{1.239409in}}% -\pgfpathlineto{\pgfqpoint{2.764683in}{0.453273in}}% -\pgfpathmoveto{\pgfqpoint{2.834324in}{0.453273in}}% 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+\end{pgfscope}% +\begin{pgfscope}% +\definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetstrokecolor{textcolor}% +\pgfsetfillcolor{textcolor}% +\pgftext[x=0.996146in,y=2.227807in,left,base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle n=2\)}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfsetrectcap% +\pgfsetroundjoin% +\pgfsetlinewidth{1.505625pt}% +\definecolor{currentstroke}{rgb}{1.000000,0.498039,0.054902}% +\pgfsetstrokecolor{currentstroke}% +\pgfsetdash{}{0pt}% +\pgfpathmoveto{\pgfqpoint{0.607257in}{2.072561in}}% +\pgfpathlineto{\pgfqpoint{0.746146in}{2.072561in}}% +\pgfpathlineto{\pgfqpoint{0.885035in}{2.072561in}}% +\pgfusepath{stroke}% +\end{pgfscope}% +\begin{pgfscope}% +\definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetstrokecolor{textcolor}% +\pgfsetfillcolor{textcolor}% +\pgftext[x=0.996146in,y=2.023950in,left,base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle n=4\)}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfsetrectcap% +\pgfsetroundjoin% +\pgfsetlinewidth{1.505625pt}% +\definecolor{currentstroke}{rgb}{0.172549,0.627451,0.172549}% +\pgfsetstrokecolor{currentstroke}% +\pgfsetdash{}{0pt}% +\pgfpathmoveto{\pgfqpoint{0.607257in}{1.868704in}}% +\pgfpathlineto{\pgfqpoint{0.746146in}{1.868704in}}% +\pgfpathlineto{\pgfqpoint{0.885035in}{1.868704in}}% +\pgfusepath{stroke}% +\end{pgfscope}% +\begin{pgfscope}% +\definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetstrokecolor{textcolor}% +\pgfsetfillcolor{textcolor}% +\pgftext[x=0.996146in,y=1.820092in,left,base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle n=6\)}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfsetrectcap% +\pgfsetroundjoin% +\pgfsetlinewidth{1.505625pt}% +\definecolor{currentstroke}{rgb}{0.839216,0.152941,0.156863}% +\pgfsetstrokecolor{currentstroke}% +\pgfsetdash{}{0pt}% +\pgfpathmoveto{\pgfqpoint{0.607257in}{1.664846in}}% +\pgfpathlineto{\pgfqpoint{0.746146in}{1.664846in}}% +\pgfpathlineto{\pgfqpoint{0.885035in}{1.664846in}}% +\pgfusepath{stroke}% +\end{pgfscope}% +\begin{pgfscope}% +\definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetstrokecolor{textcolor}% +\pgfsetfillcolor{textcolor}% +\pgftext[x=0.996146in,y=1.616235in,left,base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle n=8\)}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfsetrectcap% +\pgfsetroundjoin% +\pgfsetlinewidth{1.505625pt}% +\definecolor{currentstroke}{rgb}{0.580392,0.403922,0.741176}% +\pgfsetstrokecolor{currentstroke}% +\pgfsetdash{}{0pt}% +\pgfpathmoveto{\pgfqpoint{0.607257in}{1.460989in}}% +\pgfpathlineto{\pgfqpoint{0.746146in}{1.460989in}}% +\pgfpathlineto{\pgfqpoint{0.885035in}{1.460989in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=6.047533in,y=4.527807in,left,base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle m^*\)}% +\pgftext[x=0.996146in,y=1.412378in,left,base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle n=10\)}% \end{pgfscope}% \end{pgfpicture}% \makeatother% diff --git a/buch/papers/laguerre/images/rel_error_shifted.pgf b/buch/papers/laguerre/images/rel_error_shifted.pgf index 707d492..32f95e0 100644 --- a/buch/papers/laguerre/images/rel_error_shifted.pgf +++ b/buch/papers/laguerre/images/rel_error_shifted.pgf @@ -27,7 +27,7 @@ \begingroup% \makeatletter% \begin{pgfpicture}% -\pgfpathrectangle{\pgfpointorigin}{\pgfqpoint{6.400000in}{4.800000in}}% +\pgfpathrectangle{\pgfpointorigin}{\pgfqpoint{5.000000in}{2.500000in}}% \pgfusepath{use as bounding box, clip}% \begin{pgfscope}% \pgfsetbuttcap% @@ -39,9 +39,9 @@ \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% \pgfpathmoveto{\pgfqpoint{0.000000in}{0.000000in}}% -\pgfpathlineto{\pgfqpoint{6.400000in}{0.000000in}}% -\pgfpathlineto{\pgfqpoint{6.400000in}{4.800000in}}% -\pgfpathlineto{\pgfqpoint{0.000000in}{4.800000in}}% +\pgfpathlineto{\pgfqpoint{5.000000in}{0.000000in}}% +\pgfpathlineto{\pgfqpoint{5.000000in}{2.500000in}}% +\pgfpathlineto{\pgfqpoint{0.000000in}{2.500000in}}% \pgfpathlineto{\pgfqpoint{0.000000in}{0.000000in}}% \pgfpathclose% \pgfusepath{fill}% @@ -57,15 +57,15 @@ \pgfsetstrokeopacity{0.000000}% \pgfsetdash{}{0pt}% \pgfpathmoveto{\pgfqpoint{0.426895in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{6.358330in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{6.358330in}{4.758330in}}% -\pgfpathlineto{\pgfqpoint{0.426895in}{4.758330in}}% +\pgfpathlineto{\pgfqpoint{4.847890in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{4.847890in}{2.458330in}}% +\pgfpathlineto{\pgfqpoint{0.426895in}{2.458330in}}% \pgfpathlineto{\pgfqpoint{0.426895in}{0.463273in}}% \pgfpathclose% \pgfusepath{fill}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{5.931435in}{4.295057in}}% +\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{4.420996in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -73,8 +73,46 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{1.595116in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{1.595116in}{4.758330in}}% +\pgfpathmoveto{\pgfqpoint{0.426895in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{0.426895in}{2.458330in}}% +\pgfusepath{stroke}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfsetbuttcap% +\pgfsetroundjoin% +\definecolor{currentfill}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetfillcolor{currentfill}% +\pgfsetlinewidth{0.803000pt}% +\definecolor{currentstroke}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetstrokecolor{currentstroke}% +\pgfsetdash{}{0pt}% +\pgfsys@defobject{currentmarker}{\pgfqpoint{0.000000in}{-0.048611in}}{\pgfqpoint{0.000000in}{0.000000in}}{% +\pgfpathmoveto{\pgfqpoint{0.000000in}{0.000000in}}% +\pgfpathlineto{\pgfqpoint{0.000000in}{-0.048611in}}% +\pgfusepath{stroke,fill}% +}% +\begin{pgfscope}% +\pgfsys@transformshift{0.426895in}{0.463273in}% +\pgfsys@useobject{currentmarker}{}% +\end{pgfscope}% +\end{pgfscope}% +\begin{pgfscope}% +\definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetstrokecolor{textcolor}% +\pgfsetfillcolor{textcolor}% +\pgftext[x=0.426895in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 0.0}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{4.420996in}{1.995057in}}% +\pgfusepath{clip}% +\pgfsetrectcap% +\pgfsetroundjoin% +\pgfsetlinewidth{0.803000pt}% +\definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% +\pgfsetstrokecolor{currentstroke}% +\pgfsetdash{}{0pt}% +\pgfpathmoveto{\pgfqpoint{1.311094in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{1.311094in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -92,7 +130,7 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{1.595116in}{0.463273in}% +\pgfsys@transformshift{1.311094in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% @@ -100,10 +138,10 @@ \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=1.595116in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 0.2}% +\pgftext[x=1.311094in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 0.2}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{5.931435in}{4.295057in}}% +\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{4.420996in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -111,8 +149,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{2.793447in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{2.793447in}{4.758330in}}% +\pgfpathmoveto{\pgfqpoint{2.195293in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{2.195293in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -130,7 +168,7 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{2.793447in}{0.463273in}% +\pgfsys@transformshift{2.195293in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% @@ -138,10 +176,10 @@ \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=2.793447in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 0.4}% +\pgftext[x=2.195293in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 0.4}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{5.931435in}{4.295057in}}% +\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{4.420996in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -149,8 +187,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{3.991778in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{3.991778in}{4.758330in}}% +\pgfpathmoveto{\pgfqpoint{3.079492in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{3.079492in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -168,7 +206,7 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{3.991778in}{0.463273in}% +\pgfsys@transformshift{3.079492in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% @@ -176,10 +214,10 @@ \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=3.991778in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 0.6}% +\pgftext[x=3.079492in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 0.6}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{5.931435in}{4.295057in}}% +\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{4.420996in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -187,8 +225,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{5.190108in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{5.190108in}{4.758330in}}% +\pgfpathmoveto{\pgfqpoint{3.963691in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{3.963691in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -206,7 +244,7 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{5.190108in}{0.463273in}% +\pgfsys@transformshift{3.963691in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% @@ -214,16 +252,214 @@ \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=5.190108in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 0.8}% +\pgftext[x=3.963691in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 0.8}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{4.420996in}{1.995057in}}% +\pgfusepath{clip}% +\pgfsetrectcap% +\pgfsetroundjoin% +\pgfsetlinewidth{0.803000pt}% +\definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% +\pgfsetstrokecolor{currentstroke}% +\pgfsetdash{}{0pt}% +\pgfpathmoveto{\pgfqpoint{4.847890in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{4.847890in}{2.458330in}}% +\pgfusepath{stroke}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfsetbuttcap% +\pgfsetroundjoin% +\definecolor{currentfill}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetfillcolor{currentfill}% +\pgfsetlinewidth{0.803000pt}% +\definecolor{currentstroke}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetstrokecolor{currentstroke}% +\pgfsetdash{}{0pt}% +\pgfsys@defobject{currentmarker}{\pgfqpoint{0.000000in}{-0.048611in}}{\pgfqpoint{0.000000in}{0.000000in}}{% +\pgfpathmoveto{\pgfqpoint{0.000000in}{0.000000in}}% +\pgfpathlineto{\pgfqpoint{0.000000in}{-0.048611in}}% +\pgfusepath{stroke,fill}% +}% +\begin{pgfscope}% +\pgfsys@transformshift{4.847890in}{0.463273in}% +\pgfsys@useobject{currentmarker}{}% +\end{pgfscope}% +\end{pgfscope}% +\begin{pgfscope}% +\definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetstrokecolor{textcolor}% +\pgfsetfillcolor{textcolor}% +\pgftext[x=4.847890in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 1.0}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{4.420996in}{1.995057in}}% +\pgfusepath{clip}% +\pgfsetrectcap% +\pgfsetroundjoin% +\pgfsetlinewidth{0.803000pt}% +\definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% +\pgfsetstrokecolor{currentstroke}% +\pgfsetdash{}{0pt}% +\pgfpathmoveto{\pgfqpoint{0.868994in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{0.868994in}{2.458330in}}% +\pgfusepath{stroke}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfsetbuttcap% +\pgfsetroundjoin% +\definecolor{currentfill}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetfillcolor{currentfill}% +\pgfsetlinewidth{0.602250pt}% +\definecolor{currentstroke}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetstrokecolor{currentstroke}% +\pgfsetdash{}{0pt}% +\pgfsys@defobject{currentmarker}{\pgfqpoint{0.000000in}{-0.027778in}}{\pgfqpoint{0.000000in}{0.000000in}}{% +\pgfpathmoveto{\pgfqpoint{0.000000in}{0.000000in}}% +\pgfpathlineto{\pgfqpoint{0.000000in}{-0.027778in}}% +\pgfusepath{stroke,fill}% +}% +\begin{pgfscope}% +\pgfsys@transformshift{0.868994in}{0.463273in}% +\pgfsys@useobject{currentmarker}{}% +\end{pgfscope}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{4.420996in}{1.995057in}}% +\pgfusepath{clip}% +\pgfsetrectcap% +\pgfsetroundjoin% +\pgfsetlinewidth{0.803000pt}% +\definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% +\pgfsetstrokecolor{currentstroke}% +\pgfsetdash{}{0pt}% +\pgfpathmoveto{\pgfqpoint{1.753193in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{1.753193in}{2.458330in}}% +\pgfusepath{stroke}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfsetbuttcap% +\pgfsetroundjoin% +\definecolor{currentfill}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetfillcolor{currentfill}% +\pgfsetlinewidth{0.602250pt}% +\definecolor{currentstroke}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetstrokecolor{currentstroke}% +\pgfsetdash{}{0pt}% +\pgfsys@defobject{currentmarker}{\pgfqpoint{0.000000in}{-0.027778in}}{\pgfqpoint{0.000000in}{0.000000in}}{% +\pgfpathmoveto{\pgfqpoint{0.000000in}{0.000000in}}% +\pgfpathlineto{\pgfqpoint{0.000000in}{-0.027778in}}% +\pgfusepath{stroke,fill}% +}% +\begin{pgfscope}% +\pgfsys@transformshift{1.753193in}{0.463273in}% +\pgfsys@useobject{currentmarker}{}% +\end{pgfscope}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{4.420996in}{1.995057in}}% +\pgfusepath{clip}% +\pgfsetrectcap% +\pgfsetroundjoin% +\pgfsetlinewidth{0.803000pt}% +\definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% +\pgfsetstrokecolor{currentstroke}% +\pgfsetdash{}{0pt}% +\pgfpathmoveto{\pgfqpoint{2.637393in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{2.637393in}{2.458330in}}% +\pgfusepath{stroke}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfsetbuttcap% +\pgfsetroundjoin% +\definecolor{currentfill}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetfillcolor{currentfill}% +\pgfsetlinewidth{0.602250pt}% +\definecolor{currentstroke}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetstrokecolor{currentstroke}% +\pgfsetdash{}{0pt}% +\pgfsys@defobject{currentmarker}{\pgfqpoint{0.000000in}{-0.027778in}}{\pgfqpoint{0.000000in}{0.000000in}}{% +\pgfpathmoveto{\pgfqpoint{0.000000in}{0.000000in}}% +\pgfpathlineto{\pgfqpoint{0.000000in}{-0.027778in}}% +\pgfusepath{stroke,fill}% +}% +\begin{pgfscope}% +\pgfsys@transformshift{2.637393in}{0.463273in}% +\pgfsys@useobject{currentmarker}{}% +\end{pgfscope}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{4.420996in}{1.995057in}}% +\pgfusepath{clip}% +\pgfsetrectcap% +\pgfsetroundjoin% +\pgfsetlinewidth{0.803000pt}% +\definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% +\pgfsetstrokecolor{currentstroke}% +\pgfsetdash{}{0pt}% +\pgfpathmoveto{\pgfqpoint{3.521592in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{3.521592in}{2.458330in}}% +\pgfusepath{stroke}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfsetbuttcap% +\pgfsetroundjoin% +\definecolor{currentfill}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetfillcolor{currentfill}% +\pgfsetlinewidth{0.602250pt}% +\definecolor{currentstroke}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetstrokecolor{currentstroke}% +\pgfsetdash{}{0pt}% +\pgfsys@defobject{currentmarker}{\pgfqpoint{0.000000in}{-0.027778in}}{\pgfqpoint{0.000000in}{0.000000in}}{% +\pgfpathmoveto{\pgfqpoint{0.000000in}{0.000000in}}% +\pgfpathlineto{\pgfqpoint{0.000000in}{-0.027778in}}% +\pgfusepath{stroke,fill}% +}% +\begin{pgfscope}% +\pgfsys@transformshift{3.521592in}{0.463273in}% +\pgfsys@useobject{currentmarker}{}% +\end{pgfscope}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{4.420996in}{1.995057in}}% +\pgfusepath{clip}% +\pgfsetrectcap% +\pgfsetroundjoin% +\pgfsetlinewidth{0.803000pt}% +\definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% +\pgfsetstrokecolor{currentstroke}% +\pgfsetdash{}{0pt}% +\pgfpathmoveto{\pgfqpoint{4.405791in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{4.405791in}{2.458330in}}% +\pgfusepath{stroke}% +\end{pgfscope}% +\begin{pgfscope}% +\pgfsetbuttcap% +\pgfsetroundjoin% +\definecolor{currentfill}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetfillcolor{currentfill}% +\pgfsetlinewidth{0.602250pt}% +\definecolor{currentstroke}{rgb}{0.000000,0.000000,0.000000}% +\pgfsetstrokecolor{currentstroke}% +\pgfsetdash{}{0pt}% +\pgfsys@defobject{currentmarker}{\pgfqpoint{0.000000in}{-0.027778in}}{\pgfqpoint{0.000000in}{0.000000in}}{% +\pgfpathmoveto{\pgfqpoint{0.000000in}{0.000000in}}% +\pgfpathlineto{\pgfqpoint{0.000000in}{-0.027778in}}% +\pgfusepath{stroke,fill}% +}% +\begin{pgfscope}% +\pgfsys@transformshift{4.405791in}{0.463273in}% +\pgfsys@useobject{currentmarker}{}% +\end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=3.392612in,y=0.176083in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle z\)}% +\pgftext[x=2.637393in,y=0.176083in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle z\)}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{5.931435in}{4.295057in}}% +\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{4.420996in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -231,8 +467,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.426895in}{1.756214in}}% -\pgfpathlineto{\pgfqpoint{6.358330in}{1.756214in}}% +\pgfpathmoveto{\pgfqpoint{0.426895in}{1.063845in}}% +\pgfpathlineto{\pgfqpoint{4.847890in}{1.063845in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -250,7 +486,7 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{0.426895in}{1.756214in}% +\pgfsys@transformshift{0.426895in}{1.063845in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% @@ -258,10 +494,10 @@ \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=0.041670in, y=1.703453in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-8}}\)}% +\pgftext[x=0.041670in, y=1.011084in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-8}}\)}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{5.931435in}{4.295057in}}% +\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{4.420996in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -270,7 +506,7 @@ \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% \pgfpathmoveto{\pgfqpoint{0.426895in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{6.358330in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{4.847890in}{0.463273in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -293,7 +529,7 @@ \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{5.931435in}{4.295057in}}% +\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{4.420996in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -301,8 +537,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.426895in}{0.803361in}}% -\pgfpathlineto{\pgfqpoint{6.358330in}{0.803361in}}% +\pgfpathmoveto{\pgfqpoint{0.426895in}{0.621244in}}% +\pgfpathlineto{\pgfqpoint{4.847890in}{0.621244in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -320,12 +556,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{0.426895in}{0.803361in}% +\pgfsys@transformshift{0.426895in}{0.621244in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{5.931435in}{4.295057in}}% +\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{4.420996in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -333,8 +569,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.426895in}{1.090902in}}% -\pgfpathlineto{\pgfqpoint{6.358330in}{1.090902in}}% +\pgfpathmoveto{\pgfqpoint{0.426895in}{0.754807in}}% +\pgfpathlineto{\pgfqpoint{4.847890in}{0.754807in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -352,12 +588,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{0.426895in}{1.090902in}% +\pgfsys@transformshift{0.426895in}{0.754807in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{5.931435in}{4.295057in}}% +\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{4.420996in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -365,8 +601,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.426895in}{1.339980in}}% -\pgfpathlineto{\pgfqpoint{6.358330in}{1.339980in}}% +\pgfpathmoveto{\pgfqpoint{0.426895in}{0.870504in}}% +\pgfpathlineto{\pgfqpoint{4.847890in}{0.870504in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -384,12 +620,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{0.426895in}{1.339980in}% +\pgfsys@transformshift{0.426895in}{0.870504in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{5.931435in}{4.295057in}}% +\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{4.420996in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -397,8 +633,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.426895in}{1.559683in}}% -\pgfpathlineto{\pgfqpoint{6.358330in}{1.559683in}}% +\pgfpathmoveto{\pgfqpoint{0.426895in}{0.972556in}}% +\pgfpathlineto{\pgfqpoint{4.847890in}{0.972556in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -416,12 +652,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{0.426895in}{1.559683in}% +\pgfsys@transformshift{0.426895in}{0.972556in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{5.931435in}{4.295057in}}% +\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{4.420996in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -429,8 +665,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.426895in}{3.049155in}}% -\pgfpathlineto{\pgfqpoint{6.358330in}{3.049155in}}% +\pgfpathmoveto{\pgfqpoint{0.426895in}{1.664417in}}% +\pgfpathlineto{\pgfqpoint{4.847890in}{1.664417in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -448,12 +684,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{0.426895in}{3.049155in}% +\pgfsys@transformshift{0.426895in}{1.664417in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{5.931435in}{4.295057in}}% +\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{4.420996in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -461,8 +697,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.426895in}{3.805477in}}% -\pgfpathlineto{\pgfqpoint{6.358330in}{3.805477in}}% +\pgfpathmoveto{\pgfqpoint{0.426895in}{2.015729in}}% +\pgfpathlineto{\pgfqpoint{4.847890in}{2.015729in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -480,12 +716,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{0.426895in}{3.805477in}% +\pgfsys@transformshift{0.426895in}{2.015729in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{5.931435in}{4.295057in}}% +\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{4.420996in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -493,8 +729,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.426895in}{4.342096in}}% -\pgfpathlineto{\pgfqpoint{6.358330in}{4.342096in}}% +\pgfpathmoveto{\pgfqpoint{0.426895in}{2.264989in}}% +\pgfpathlineto{\pgfqpoint{4.847890in}{2.264989in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -512,12 +748,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{0.426895in}{4.342096in}% +\pgfsys@transformshift{0.426895in}{2.264989in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{5.931435in}{4.295057in}}% +\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{4.420996in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -525,8 +761,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.426895in}{4.758330in}}% -\pgfpathlineto{\pgfqpoint{6.358330in}{4.758330in}}% +\pgfpathmoveto{\pgfqpoint{0.426895in}{2.458330in}}% +\pgfpathlineto{\pgfqpoint{4.847890in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -544,12 +780,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{0.426895in}{4.758330in}% +\pgfsys@transformshift{0.426895in}{2.458330in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{5.931435in}{4.295057in}}% +\pgfpathrectangle{\pgfqpoint{0.426895in}{0.463273in}}{\pgfqpoint{4.420996in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -557,125 +793,99 @@ \definecolor{currentstroke}{rgb}{0.121569,0.466667,0.705882}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.579662in}{0.453273in}}% -\pgfpathlineto{\pgfqpoint{0.604838in}{0.691883in}}% -\pgfpathlineto{\pgfqpoint{0.634495in}{0.934532in}}% -\pgfpathlineto{\pgfqpoint{0.664152in}{1.147779in}}% -\pgfpathlineto{\pgfqpoint{0.693809in}{1.337791in}}% -\pgfpathlineto{\pgfqpoint{0.723466in}{1.508975in}}% -\pgfpathlineto{\pgfqpoint{0.753124in}{1.664580in}}% -\pgfpathlineto{\pgfqpoint{0.782781in}{1.807081in}}% -\pgfpathlineto{\pgfqpoint{0.812438in}{1.938396in}}% -\pgfpathlineto{\pgfqpoint{0.842095in}{2.060050in}}% -\pgfpathlineto{\pgfqpoint{0.871752in}{2.173272in}}% -\pgfpathlineto{\pgfqpoint{0.901410in}{2.279065in}}% -\pgfpathlineto{\pgfqpoint{0.931067in}{2.378263in}}% -\pgfpathlineto{\pgfqpoint{0.960724in}{2.471563in}}% -\pgfpathlineto{\pgfqpoint{0.990381in}{2.559556in}}% -\pgfpathlineto{\pgfqpoint{1.020038in}{2.642744in}}% -\pgfpathlineto{\pgfqpoint{1.049695in}{2.721561in}}% -\pgfpathlineto{\pgfqpoint{1.079353in}{2.796383in}}% -\pgfpathlineto{\pgfqpoint{1.109010in}{2.867537in}}% -\pgfpathlineto{\pgfqpoint{1.138667in}{2.935310in}}% -\pgfpathlineto{\pgfqpoint{1.168324in}{2.999956in}}% -\pgfpathlineto{\pgfqpoint{1.197981in}{3.061700in}}% -\pgfpathlineto{\pgfqpoint{1.227638in}{3.120741in}}% -\pgfpathlineto{\pgfqpoint{1.286953in}{3.231415in}}% -\pgfpathlineto{\pgfqpoint{1.346267in}{3.333204in}}% -\pgfpathlineto{\pgfqpoint{1.405582in}{3.427112in}}% -\pgfpathlineto{\pgfqpoint{1.464896in}{3.513967in}}% -\pgfpathlineto{\pgfqpoint{1.524210in}{3.594465in}}% -\pgfpathlineto{\pgfqpoint{1.583525in}{3.669192in}}% -\pgfpathlineto{\pgfqpoint{1.642839in}{3.738646in}}% -\pgfpathlineto{\pgfqpoint{1.702153in}{3.803258in}}% -\pgfpathlineto{\pgfqpoint{1.761468in}{3.863396in}}% -\pgfpathlineto{\pgfqpoint{1.820782in}{3.919383in}}% -\pgfpathlineto{\pgfqpoint{1.880096in}{3.971501in}}% 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\begin{pgfscope}% @@ -1174,7 +1278,7 @@ \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% \pgfpathmoveto{\pgfqpoint{0.426895in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{0.426895in}{4.758330in}}% +\pgfpathlineto{\pgfqpoint{0.426895in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -1184,8 +1288,8 @@ \definecolor{currentstroke}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{6.358330in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{6.358330in}{4.758330in}}% +\pgfpathmoveto{\pgfqpoint{4.847890in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{4.847890in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -1196,7 +1300,7 @@ \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% \pgfpathmoveto{\pgfqpoint{0.426895in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{6.358330in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{4.847890in}{0.463273in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -1206,8 +1310,8 @@ \definecolor{currentstroke}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.426895in}{4.758330in}}% -\pgfpathlineto{\pgfqpoint{6.358330in}{4.758330in}}% +\pgfpathmoveto{\pgfqpoint{0.426895in}{2.458330in}}% +\pgfpathlineto{\pgfqpoint{4.847890in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -1221,16 +1325,16 @@ \pgfsetstrokecolor{currentstroke}% \pgfsetstrokeopacity{0.800000}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{5.370644in}{3.627933in}}% -\pgfpathlineto{\pgfqpoint{6.261108in}{3.627933in}}% -\pgfpathquadraticcurveto{\pgfqpoint{6.288886in}{3.627933in}}{\pgfqpoint{6.288886in}{3.655711in}}% -\pgfpathlineto{\pgfqpoint{6.288886in}{4.661108in}}% -\pgfpathquadraticcurveto{\pgfqpoint{6.288886in}{4.688886in}}{\pgfqpoint{6.261108in}{4.688886in}}% -\pgfpathlineto{\pgfqpoint{5.370644in}{4.688886in}}% -\pgfpathquadraticcurveto{\pgfqpoint{5.342866in}{4.688886in}}{\pgfqpoint{5.342866in}{4.661108in}}% -\pgfpathlineto{\pgfqpoint{5.342866in}{3.655711in}}% -\pgfpathquadraticcurveto{\pgfqpoint{5.342866in}{3.627933in}}{\pgfqpoint{5.370644in}{3.627933in}}% -\pgfpathlineto{\pgfqpoint{5.370644in}{3.627933in}}% +\pgfpathmoveto{\pgfqpoint{2.192161in}{0.532718in}}% +\pgfpathlineto{\pgfqpoint{3.082624in}{0.532718in}}% +\pgfpathquadraticcurveto{\pgfqpoint{3.110402in}{0.532718in}}{\pgfqpoint{3.110402in}{0.560496in}}% +\pgfpathlineto{\pgfqpoint{3.110402in}{1.565893in}}% +\pgfpathquadraticcurveto{\pgfqpoint{3.110402in}{1.593671in}}{\pgfqpoint{3.082624in}{1.593671in}}% +\pgfpathlineto{\pgfqpoint{2.192161in}{1.593671in}}% +\pgfpathquadraticcurveto{\pgfqpoint{2.164383in}{1.593671in}}{\pgfqpoint{2.164383in}{1.565893in}}% +\pgfpathlineto{\pgfqpoint{2.164383in}{0.560496in}}% +\pgfpathquadraticcurveto{\pgfqpoint{2.164383in}{0.532718in}}{\pgfqpoint{2.192161in}{0.532718in}}% +\pgfpathlineto{\pgfqpoint{2.192161in}{0.532718in}}% \pgfpathclose% \pgfusepath{stroke,fill}% \end{pgfscope}% @@ -1241,16 +1345,16 @@ \definecolor{currentstroke}{rgb}{0.121569,0.466667,0.705882}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{5.398422in}{4.576418in}}% -\pgfpathlineto{\pgfqpoint{5.537311in}{4.576418in}}% -\pgfpathlineto{\pgfqpoint{5.676200in}{4.576418in}}% +\pgfpathmoveto{\pgfqpoint{2.219938in}{1.481203in}}% +\pgfpathlineto{\pgfqpoint{2.358827in}{1.481203in}}% +\pgfpathlineto{\pgfqpoint{2.497716in}{1.481203in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=5.787311in,y=4.527807in,left,base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle m=10\)}% +\pgftext[x=2.608827in,y=1.432592in,left,base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle m=10\)}% \end{pgfscope}% \begin{pgfscope}% \pgfsetrectcap% @@ -1259,16 +1363,16 @@ \definecolor{currentstroke}{rgb}{1.000000,0.498039,0.054902}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{5.398422in}{4.372561in}}% -\pgfpathlineto{\pgfqpoint{5.537311in}{4.372561in}}% -\pgfpathlineto{\pgfqpoint{5.676200in}{4.372561in}}% +\pgfpathmoveto{\pgfqpoint{2.219938in}{1.277346in}}% +\pgfpathlineto{\pgfqpoint{2.358827in}{1.277346in}}% +\pgfpathlineto{\pgfqpoint{2.497716in}{1.277346in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=5.787311in,y=4.323950in,left,base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle m=11\)}% +\pgftext[x=2.608827in,y=1.228735in,left,base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle m=11\)}% \end{pgfscope}% \begin{pgfscope}% \pgfsetrectcap% @@ -1277,16 +1381,16 @@ \definecolor{currentstroke}{rgb}{0.172549,0.627451,0.172549}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{5.398422in}{4.168704in}}% -\pgfpathlineto{\pgfqpoint{5.537311in}{4.168704in}}% -\pgfpathlineto{\pgfqpoint{5.676200in}{4.168704in}}% +\pgfpathmoveto{\pgfqpoint{2.219938in}{1.073489in}}% +\pgfpathlineto{\pgfqpoint{2.358827in}{1.073489in}}% +\pgfpathlineto{\pgfqpoint{2.497716in}{1.073489in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=5.787311in,y=4.120092in,left,base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle m=12\)}% +\pgftext[x=2.608827in,y=1.024878in,left,base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle m=12\)}% \end{pgfscope}% \begin{pgfscope}% \pgfsetrectcap% @@ -1295,16 +1399,16 @@ \definecolor{currentstroke}{rgb}{0.839216,0.152941,0.156863}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{5.398422in}{3.964846in}}% -\pgfpathlineto{\pgfqpoint{5.537311in}{3.964846in}}% -\pgfpathlineto{\pgfqpoint{5.676200in}{3.964846in}}% +\pgfpathmoveto{\pgfqpoint{2.219938in}{0.869631in}}% +\pgfpathlineto{\pgfqpoint{2.358827in}{0.869631in}}% +\pgfpathlineto{\pgfqpoint{2.497716in}{0.869631in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=5.787311in,y=3.916235in,left,base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle m=13\)}% +\pgftext[x=2.608827in,y=0.821020in,left,base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle m=13\)}% \end{pgfscope}% \begin{pgfscope}% \pgfsetbuttcap% @@ -1313,16 +1417,16 @@ \definecolor{currentstroke}{rgb}{0.750000,0.000000,0.750000}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{{3.000000pt}{4.950000pt}}{0.000000pt}% -\pgfpathmoveto{\pgfqpoint{5.398422in}{3.760989in}}% -\pgfpathlineto{\pgfqpoint{5.537311in}{3.760989in}}% -\pgfpathlineto{\pgfqpoint{5.676200in}{3.760989in}}% +\pgfpathmoveto{\pgfqpoint{2.219938in}{0.665774in}}% +\pgfpathlineto{\pgfqpoint{2.358827in}{0.665774in}}% +\pgfpathlineto{\pgfqpoint{2.497716in}{0.665774in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=5.787311in,y=3.712378in,left,base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle m^*\)}% +\pgftext[x=2.608827in,y=0.617163in,left,base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle m^*\)}% \end{pgfscope}% \end{pgfpicture}% \makeatother% diff --git a/buch/papers/laguerre/images/rel_error_simple.pgf b/buch/papers/laguerre/images/rel_error_simple.pgf index 9368616..2439d65 100644 --- a/buch/papers/laguerre/images/rel_error_simple.pgf +++ b/buch/papers/laguerre/images/rel_error_simple.pgf @@ -56,16 +56,16 @@ \pgfsetstrokecolor{currentstroke}% \pgfsetstrokeopacity{0.000000}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.672226in}{0.463273in}}% +\pgfpathmoveto{\pgfqpoint{0.482257in}{0.463273in}}% \pgfpathlineto{\pgfqpoint{4.869965in}{0.463273in}}% \pgfpathlineto{\pgfqpoint{4.869965in}{2.458330in}}% -\pgfpathlineto{\pgfqpoint{0.672226in}{2.458330in}}% -\pgfpathlineto{\pgfqpoint{0.672226in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{0.482257in}{2.458330in}}% +\pgfpathlineto{\pgfqpoint{0.482257in}{0.463273in}}% \pgfpathclose% \pgfusepath{fill}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -73,8 +73,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.672226in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{0.672226in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{0.482258in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{0.482258in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -92,7 +92,7 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{0.672226in}{0.463273in}% +\pgfsys@transformshift{0.482258in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% @@ -100,10 +100,10 @@ \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=0.672226in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \ensuremath{-}5}% +\pgftext[x=0.482258in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \ensuremath{-}5}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -111,8 +111,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{1.271903in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{1.271903in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{1.109073in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{1.109073in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -130,7 +130,7 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{1.271903in}{0.463273in}% +\pgfsys@transformshift{1.109073in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% @@ -138,10 +138,10 @@ \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=1.271903in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 0}% +\pgftext[x=1.109073in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 0}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -149,8 +149,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{1.871580in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{1.871580in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{1.735888in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{1.735888in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -168,7 +168,7 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{1.871580in}{0.463273in}% +\pgfsys@transformshift{1.735888in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% @@ -176,10 +176,10 @@ \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=1.871580in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 5}% +\pgftext[x=1.735888in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 5}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -187,8 +187,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{2.471257in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{2.471257in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{2.362703in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{2.362703in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -206,7 +206,7 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{2.471257in}{0.463273in}% +\pgfsys@transformshift{2.362703in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% @@ -214,10 +214,10 @@ \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=2.471257in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 10}% +\pgftext[x=2.362703in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 10}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -225,8 +225,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{3.070934in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{3.070934in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{2.989519in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{2.989519in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -244,7 +244,7 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{3.070934in}{0.463273in}% +\pgfsys@transformshift{2.989519in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% @@ -252,10 +252,10 @@ \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=3.070934in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 15}% +\pgftext[x=2.989519in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 15}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -263,8 +263,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{3.670611in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{3.670611in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{3.616334in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{3.616334in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -282,7 +282,7 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{3.670611in}{0.463273in}% +\pgfsys@transformshift{3.616334in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% @@ -290,10 +290,10 @@ \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=3.670611in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 20}% +\pgftext[x=3.616334in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 20}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -301,8 +301,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{4.270288in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{4.270288in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{4.243149in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{4.243149in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -320,7 +320,7 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{4.270288in}{0.463273in}% +\pgfsys@transformshift{4.243149in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% @@ -328,10 +328,10 @@ \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=4.270288in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 25}% +\pgftext[x=4.243149in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 25}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -369,7 +369,7 @@ \pgftext[x=4.869965in,y=0.366051in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 30}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -377,8 +377,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.792161in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{0.792161in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{0.607621in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{0.607621in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -396,12 +396,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{0.792161in}{0.463273in}% +\pgfsys@transformshift{0.607621in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -409,8 +409,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.912097in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{0.912097in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{0.732984in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{0.732984in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -428,12 +428,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{0.912097in}{0.463273in}% +\pgfsys@transformshift{0.732984in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -441,8 +441,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{1.032032in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{1.032032in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{0.858347in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{0.858347in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -460,12 +460,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{1.032032in}{0.463273in}% +\pgfsys@transformshift{0.858347in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -473,8 +473,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{1.151967in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{1.151967in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{0.983710in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{0.983710in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -492,12 +492,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{1.151967in}{0.463273in}% +\pgfsys@transformshift{0.983710in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -505,8 +505,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{1.391838in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{1.391838in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{1.234436in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{1.234436in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -524,12 +524,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{1.391838in}{0.463273in}% +\pgfsys@transformshift{1.234436in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -537,8 +537,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{1.511774in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{1.511774in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{1.359799in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{1.359799in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -556,12 +556,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{1.511774in}{0.463273in}% +\pgfsys@transformshift{1.359799in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -569,8 +569,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{1.631709in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{1.631709in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{1.485162in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{1.485162in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -588,12 +588,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{1.631709in}{0.463273in}% +\pgfsys@transformshift{1.485162in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -601,8 +601,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{1.751644in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{1.751644in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{1.610525in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{1.610525in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -620,12 +620,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{1.751644in}{0.463273in}% +\pgfsys@transformshift{1.610525in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -633,8 +633,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{1.991515in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{1.991515in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{1.861251in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{1.861251in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -652,12 +652,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{1.991515in}{0.463273in}% +\pgfsys@transformshift{1.861251in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -665,8 +665,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{2.111451in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{2.111451in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{1.986614in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{1.986614in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -684,12 +684,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{2.111451in}{0.463273in}% +\pgfsys@transformshift{1.986614in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -697,8 +697,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{2.231386in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{2.231386in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{2.111977in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{2.111977in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -716,12 +716,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{2.231386in}{0.463273in}% +\pgfsys@transformshift{2.111977in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -729,8 +729,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{2.351321in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{2.351321in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{2.237340in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{2.237340in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -748,12 +748,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{2.351321in}{0.463273in}% +\pgfsys@transformshift{2.237340in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -761,8 +761,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{2.591192in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{2.591192in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{2.488066in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{2.488066in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -780,12 +780,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{2.591192in}{0.463273in}% +\pgfsys@transformshift{2.488066in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -793,8 +793,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{2.711128in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{2.711128in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{2.613430in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{2.613430in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -812,12 +812,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{2.711128in}{0.463273in}% +\pgfsys@transformshift{2.613430in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -825,8 +825,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{2.831063in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{2.831063in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{2.738793in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{2.738793in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -844,12 +844,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{2.831063in}{0.463273in}% +\pgfsys@transformshift{2.738793in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -857,8 +857,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{2.950998in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{2.950998in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{2.864156in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{2.864156in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -876,12 +876,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{2.950998in}{0.463273in}% +\pgfsys@transformshift{2.864156in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -889,8 +889,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{3.190869in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{3.190869in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{3.114882in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{3.114882in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -908,12 +908,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{3.190869in}{0.463273in}% +\pgfsys@transformshift{3.114882in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -921,8 +921,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{3.310805in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{3.310805in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{3.240245in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{3.240245in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -940,12 +940,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{3.310805in}{0.463273in}% +\pgfsys@transformshift{3.240245in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -953,8 +953,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{3.430740in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{3.430740in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{3.365608in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{3.365608in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -972,12 +972,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{3.430740in}{0.463273in}% +\pgfsys@transformshift{3.365608in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -985,8 +985,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{3.550675in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{3.550675in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{3.490971in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{3.490971in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -1004,12 +1004,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{3.550675in}{0.463273in}% +\pgfsys@transformshift{3.490971in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -1017,8 +1017,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{3.790546in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{3.790546in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{3.741697in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{3.741697in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -1036,12 +1036,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{3.790546in}{0.463273in}% +\pgfsys@transformshift{3.741697in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -1049,8 +1049,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{3.910481in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{3.910481in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{3.867060in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{3.867060in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -1068,12 +1068,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{3.910481in}{0.463273in}% +\pgfsys@transformshift{3.867060in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -1081,8 +1081,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{4.030417in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{4.030417in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{3.992423in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{3.992423in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -1100,12 +1100,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{4.030417in}{0.463273in}% +\pgfsys@transformshift{3.992423in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -1113,8 +1113,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{4.150352in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{4.150352in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{4.117786in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{4.117786in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -1132,12 +1132,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{4.150352in}{0.463273in}% +\pgfsys@transformshift{4.117786in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -1145,8 +1145,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{4.390223in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{4.390223in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{4.368512in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{4.368512in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -1164,12 +1164,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{4.390223in}{0.463273in}% +\pgfsys@transformshift{4.368512in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -1177,8 +1177,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{4.510158in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{4.510158in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{4.493875in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{4.493875in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -1196,12 +1196,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{4.510158in}{0.463273in}% +\pgfsys@transformshift{4.493875in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -1209,8 +1209,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{4.630094in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{4.630094in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{4.619239in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{4.619239in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -1228,12 +1228,12 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{4.630094in}{0.463273in}% +\pgfsys@transformshift{4.619239in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -1241,8 +1241,8 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{4.750029in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{4.750029in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{4.744602in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{4.744602in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -1260,7 +1260,7 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{4.750029in}{0.463273in}% +\pgfsys@transformshift{4.744602in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% @@ -1268,10 +1268,10 @@ \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=2.771095in,y=0.176083in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle z\)}% +\pgftext[x=2.676111in,y=0.176083in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle z\)}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -1279,7 +1279,7 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.672226in}{0.463273in}}% +\pgfpathmoveto{\pgfqpoint{0.482257in}{0.463273in}}% \pgfpathlineto{\pgfqpoint{4.869965in}{0.463273in}}% \pgfusepath{stroke}% \end{pgfscope}% @@ -1298,7 +1298,7 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{0.672226in}{0.463273in}% +\pgfsys@transformshift{0.482257in}{0.463273in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% @@ -1306,10 +1306,10 @@ \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=0.231638in, y=0.410512in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-11}}\)}% +\pgftext[x=0.041670in, y=0.410512in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-11}}\)}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -1317,7 +1317,7 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.672226in}{0.697986in}}% +\pgfpathmoveto{\pgfqpoint{0.482257in}{0.697986in}}% \pgfpathlineto{\pgfqpoint{4.869965in}{0.697986in}}% \pgfusepath{stroke}% \end{pgfscope}% @@ -1336,7 +1336,7 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{0.672226in}{0.697986in}% +\pgfsys@transformshift{0.482257in}{0.697986in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% @@ -1344,10 +1344,10 @@ \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=0.287001in, y=0.645224in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-9}}\)}% +\pgftext[x=0.097033in, y=0.645224in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-9}}\)}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -1355,7 +1355,7 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.672226in}{0.932698in}}% +\pgfpathmoveto{\pgfqpoint{0.482257in}{0.932698in}}% \pgfpathlineto{\pgfqpoint{4.869965in}{0.932698in}}% \pgfusepath{stroke}% \end{pgfscope}% @@ -1374,7 +1374,7 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{0.672226in}{0.932698in}% +\pgfsys@transformshift{0.482257in}{0.932698in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% @@ -1382,10 +1382,10 @@ \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=0.287001in, y=0.879937in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-7}}\)}% +\pgftext[x=0.097033in, y=0.879937in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-7}}\)}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -1393,7 +1393,7 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.672226in}{1.167411in}}% +\pgfpathmoveto{\pgfqpoint{0.482257in}{1.167411in}}% \pgfpathlineto{\pgfqpoint{4.869965in}{1.167411in}}% \pgfusepath{stroke}% \end{pgfscope}% @@ -1412,7 +1412,7 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{0.672226in}{1.167411in}% +\pgfsys@transformshift{0.482257in}{1.167411in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% @@ -1420,10 +1420,10 @@ \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=0.287001in, y=1.114649in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-5}}\)}% +\pgftext[x=0.097033in, y=1.114649in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-5}}\)}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -1431,7 +1431,7 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.672226in}{1.402124in}}% +\pgfpathmoveto{\pgfqpoint{0.482257in}{1.402124in}}% \pgfpathlineto{\pgfqpoint{4.869965in}{1.402124in}}% \pgfusepath{stroke}% \end{pgfscope}% @@ -1450,7 +1450,7 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{0.672226in}{1.402124in}% +\pgfsys@transformshift{0.482257in}{1.402124in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% @@ -1458,10 +1458,10 @@ \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=0.287001in, y=1.349362in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-3}}\)}% +\pgftext[x=0.097033in, y=1.349362in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-3}}\)}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -1469,7 +1469,7 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.672226in}{1.636836in}}% +\pgfpathmoveto{\pgfqpoint{0.482257in}{1.636836in}}% \pgfpathlineto{\pgfqpoint{4.869965in}{1.636836in}}% \pgfusepath{stroke}% \end{pgfscope}% @@ -1488,7 +1488,7 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{0.672226in}{1.636836in}% +\pgfsys@transformshift{0.482257in}{1.636836in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% @@ -1496,10 +1496,10 @@ \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=0.287001in, y=1.584075in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-1}}\)}% +\pgftext[x=0.097033in, y=1.584075in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-1}}\)}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -1507,7 +1507,7 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.672226in}{1.871549in}}% +\pgfpathmoveto{\pgfqpoint{0.482257in}{1.871549in}}% \pgfpathlineto{\pgfqpoint{4.869965in}{1.871549in}}% \pgfusepath{stroke}% \end{pgfscope}% @@ -1526,7 +1526,7 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{0.672226in}{1.871549in}% +\pgfsys@transformshift{0.482257in}{1.871549in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% @@ -1534,10 +1534,10 @@ \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=0.373807in, y=1.818787in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{1}}\)}% +\pgftext[x=0.183839in, y=1.818787in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{1}}\)}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -1545,7 +1545,7 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.672226in}{2.106261in}}% +\pgfpathmoveto{\pgfqpoint{0.482257in}{2.106261in}}% \pgfpathlineto{\pgfqpoint{4.869965in}{2.106261in}}% \pgfusepath{stroke}% \end{pgfscope}% @@ -1564,7 +1564,7 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{0.672226in}{2.106261in}% +\pgfsys@transformshift{0.482257in}{2.106261in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% @@ -1572,10 +1572,10 @@ \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=0.373807in, y=2.053500in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{3}}\)}% +\pgftext[x=0.183839in, y=2.053500in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{3}}\)}% \end{pgfscope}% \begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% \pgfsetroundjoin% @@ -1583,7 +1583,7 @@ \definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.672226in}{2.340974in}}% +\pgfpathmoveto{\pgfqpoint{0.482257in}{2.340974in}}% \pgfpathlineto{\pgfqpoint{4.869965in}{2.340974in}}% \pgfusepath{stroke}% \end{pgfscope}% @@ -1602,7 +1602,7 @@ \pgfusepath{stroke,fill}% }% \begin{pgfscope}% -\pgfsys@transformshift{0.672226in}{2.340974in}% +\pgfsys@transformshift{0.482257in}{2.340974in}% \pgfsys@useobject{currentmarker}{}% \end{pgfscope}% \end{pgfscope}% @@ -1610,16 +1610,10 @@ \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=0.373807in, y=2.288212in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{5}}\)}% +\pgftext[x=0.183839in, y=2.288212in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{5}}\)}% \end{pgfscope}% \begin{pgfscope}% -\definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% -\pgfsetstrokecolor{textcolor}% -\pgfsetfillcolor{textcolor}% -\pgftext[x=0.176083in,y=1.460802in,,bottom,rotate=90.000000]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont Relativer Fehler}% -\end{pgfscope}% -\begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.672226in}{0.463273in}}{\pgfqpoint{4.197739in}{1.995057in}}% +\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.387707in}{1.995057in}}% \pgfusepath{clip}% \pgfsetrectcap% 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\definecolor{currentstroke}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.672226in}{0.463273in}}% -\pgfpathlineto{\pgfqpoint{0.672226in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{0.482257in}{0.463273in}}% +\pgfpathlineto{\pgfqpoint{0.482257in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% @@ -2806,7 +2800,7 @@ \definecolor{currentstroke}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.672226in}{0.463273in}}% +\pgfpathmoveto{\pgfqpoint{0.482258in}{0.463273in}}% \pgfpathlineto{\pgfqpoint{4.869965in}{0.463273in}}% \pgfusepath{stroke}% \end{pgfscope}% @@ -2817,7 +2811,7 @@ \definecolor{currentstroke}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.672226in}{2.458330in}}% +\pgfpathmoveto{\pgfqpoint{0.482258in}{2.458330in}}% \pgfpathlineto{\pgfqpoint{4.869965in}{2.458330in}}% \pgfusepath{stroke}% \end{pgfscope}% @@ -2832,16 +2826,16 @@ \pgfsetstrokecolor{currentstroke}% \pgfsetstrokeopacity{0.800000}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{2.384851in}{2.026148in}}% -\pgfpathlineto{\pgfqpoint{4.788979in}{2.026148in}}% -\pgfpathquadraticcurveto{\pgfqpoint{4.812117in}{2.026148in}}{\pgfqpoint{4.812117in}{2.049287in}}% -\pgfpathlineto{\pgfqpoint{4.812117in}{2.377344in}}% -\pgfpathquadraticcurveto{\pgfqpoint{4.812117in}{2.400483in}}{\pgfqpoint{4.788979in}{2.400483in}}% -\pgfpathlineto{\pgfqpoint{2.384851in}{2.400483in}}% -\pgfpathquadraticcurveto{\pgfqpoint{2.361713in}{2.400483in}}{\pgfqpoint{2.361713in}{2.377344in}}% -\pgfpathlineto{\pgfqpoint{2.361713in}{2.049287in}}% -\pgfpathquadraticcurveto{\pgfqpoint{2.361713in}{2.026148in}}{\pgfqpoint{2.384851in}{2.026148in}}% -\pgfpathlineto{\pgfqpoint{2.384851in}{2.026148in}}% +\pgfpathmoveto{\pgfqpoint{1.911537in}{1.939504in}}% 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-\pgfpathlineto{\pgfqpoint{2.639379in}{2.306797in}}% +\pgfpathmoveto{\pgfqpoint{1.939315in}{2.276418in}}% +\pgfpathlineto{\pgfqpoint{2.078204in}{2.276418in}}% +\pgfpathlineto{\pgfqpoint{2.217093in}{2.276418in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=2.731935in,y=2.266304in,left,base]{\color{textcolor}\sffamily\fontsize{8.330000}{9.996000}\selectfont \(\displaystyle n=2\)}% +\pgftext[x=2.328204in,y=2.227807in,left,base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle n=2\)}% \end{pgfscope}% \begin{pgfscope}% \pgfsetrectcap% @@ -2870,16 +2864,16 @@ \definecolor{currentstroke}{rgb}{1.000000,0.498039,0.054902}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{2.407990in}{2.136984in}}% -\pgfpathlineto{\pgfqpoint{2.523685in}{2.136984in}}% -\pgfpathlineto{\pgfqpoint{2.639379in}{2.136984in}}% +\pgfpathmoveto{\pgfqpoint{1.939315in}{2.072561in}}% +\pgfpathlineto{\pgfqpoint{2.078204in}{2.072561in}}% +\pgfpathlineto{\pgfqpoint{2.217093in}{2.072561in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=2.731935in,y=2.096491in,left,base]{\color{textcolor}\sffamily\fontsize{8.330000}{9.996000}\selectfont \(\displaystyle n=4\)}% +\pgftext[x=2.328204in,y=2.023950in,left,base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle n=4\)}% \end{pgfscope}% \begin{pgfscope}% \pgfsetrectcap% @@ -2888,16 +2882,16 @@ \definecolor{currentstroke}{rgb}{0.172549,0.627451,0.172549}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{3.251394in}{2.306797in}}% -\pgfpathlineto{\pgfqpoint{3.367088in}{2.306797in}}% -\pgfpathlineto{\pgfqpoint{3.482782in}{2.306797in}}% +\pgfpathmoveto{\pgfqpoint{2.943976in}{2.276418in}}% +\pgfpathlineto{\pgfqpoint{3.082865in}{2.276418in}}% +\pgfpathlineto{\pgfqpoint{3.221754in}{2.276418in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=3.575338in,y=2.266304in,left,base]{\color{textcolor}\sffamily\fontsize{8.330000}{9.996000}\selectfont \(\displaystyle n=6\)}% +\pgftext[x=3.332865in,y=2.227807in,left,base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle n=6\)}% \end{pgfscope}% \begin{pgfscope}% \pgfsetrectcap% @@ -2906,16 +2900,16 @@ \definecolor{currentstroke}{rgb}{0.839216,0.152941,0.156863}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{3.251394in}{2.136984in}}% -\pgfpathlineto{\pgfqpoint{3.367088in}{2.136984in}}% -\pgfpathlineto{\pgfqpoint{3.482782in}{2.136984in}}% +\pgfpathmoveto{\pgfqpoint{2.943976in}{2.072561in}}% +\pgfpathlineto{\pgfqpoint{3.082865in}{2.072561in}}% +\pgfpathlineto{\pgfqpoint{3.221754in}{2.072561in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=3.575338in,y=2.096491in,left,base]{\color{textcolor}\sffamily\fontsize{8.330000}{9.996000}\selectfont \(\displaystyle n=8\)}% +\pgftext[x=3.332865in,y=2.023950in,left,base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle n=8\)}% \end{pgfscope}% \begin{pgfscope}% \pgfsetrectcap% @@ -2924,16 +2918,16 @@ \definecolor{currentstroke}{rgb}{0.580392,0.403922,0.741176}% \pgfsetstrokecolor{currentstroke}% \pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{4.094797in}{2.306797in}}% -\pgfpathlineto{\pgfqpoint{4.210491in}{2.306797in}}% -\pgfpathlineto{\pgfqpoint{4.326186in}{2.306797in}}% +\pgfpathmoveto{\pgfqpoint{3.948637in}{2.276418in}}% +\pgfpathlineto{\pgfqpoint{4.087526in}{2.276418in}}% +\pgfpathlineto{\pgfqpoint{4.226415in}{2.276418in}}% \pgfusepath{stroke}% \end{pgfscope}% \begin{pgfscope}% \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% \pgfsetstrokecolor{textcolor}% \pgfsetfillcolor{textcolor}% -\pgftext[x=4.418741in,y=2.266304in,left,base]{\color{textcolor}\sffamily\fontsize{8.330000}{9.996000}\selectfont \(\displaystyle n=10\)}% +\pgftext[x=4.337526in,y=2.227807in,left,base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle n=10\)}% \end{pgfscope}% \end{pgfpicture}% \makeatother% diff --git a/buch/papers/laguerre/images/rel_error_simple.png b/buch/papers/laguerre/images/rel_error_simple.png deleted file mode 100644 index 8bcd8e0..0000000 Binary files a/buch/papers/laguerre/images/rel_error_simple.png and /dev/null differ diff --git a/buch/papers/laguerre/images/targets-img0.png b/buch/papers/laguerre/images/targets-img0.png new file mode 100644 index 0000000..6e110dd Binary files /dev/null and b/buch/papers/laguerre/images/targets-img0.png differ diff --git a/buch/papers/laguerre/images/targets-img1.png b/buch/papers/laguerre/images/targets-img1.png new file mode 100644 index 0000000..999a4d2 Binary files /dev/null and b/buch/papers/laguerre/images/targets-img1.png differ diff --git a/buch/papers/laguerre/images/targets.pdf b/buch/papers/laguerre/images/targets.pdf index df11068..c050efa 100644 Binary files a/buch/papers/laguerre/images/targets.pdf and b/buch/papers/laguerre/images/targets.pdf differ diff --git a/buch/papers/laguerre/images/targets.pgf b/buch/papers/laguerre/images/targets.pgf new file mode 100644 index 0000000..f5602fd --- /dev/null +++ b/buch/papers/laguerre/images/targets.pgf @@ -0,0 +1,1024 @@ +%% Creator: Matplotlib, PGF backend +%% +%% To include the figure in your LaTeX document, write +%% \input{.pgf} +%% +%% Make sure the required packages are loaded in your preamble +%% \usepackage{pgf} +%% +%% Also ensure that all the required font packages are loaded; for instance, +%% the lmodern package is sometimes necessary when using math font. +%% \usepackage{lmodern} +%% +%% Figures using additional raster images can only be included by \input if +%% they are in the same directory as the main LaTeX file. For loading figures +%% from other directories you can use the `import` package +%% \usepackage{import} +%% +%% and then include the figures with +%% \import{}{.pgf} +%% +%% Matplotlib used the following preamble +%% \usepackage{fontspec} +%% \setmainfont{DejaVuSerif.ttf}[Path=\detokenize{/home/mup/.local/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}] +%% \setsansfont{DejaVuSans.ttf}[Path=\detokenize{/home/mup/.local/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}] +%% \setmonofont{DejaVuSansMono.ttf}[Path=\detokenize{/home/mup/.local/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}] +%% +\begingroup% +\makeatletter% +\begin{pgfpicture}% +\pgfpathrectangle{\pgfpointorigin}{\pgfqpoint{4.000000in}{2.400000in}}% +\pgfusepath{use as bounding box, clip}% +\begin{pgfscope}% +\pgfsetbuttcap% +\pgfsetmiterjoin% +\definecolor{currentfill}{rgb}{1.000000,1.000000,1.000000}% +\pgfsetfillcolor{currentfill}% +\pgfsetlinewidth{0.000000pt}% 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+\pgfusepath{stroke}% +\end{pgfscope}% +\end{pgfpicture}% +\makeatother% +\endgroup% diff --git a/buch/papers/laguerre/packages.tex b/buch/papers/laguerre/packages.tex index 4ebc172..a80d091 100644 --- a/buch/papers/laguerre/packages.tex +++ b/buch/papers/laguerre/packages.tex @@ -6,4 +6,4 @@ % if your paper needs special packages, add package commands as in the % following example -\usepackage{derivative} +\DeclareMathOperator{\real}{Re} \ No newline at end of file diff --git a/buch/papers/laguerre/presentation/sections/gamma_approx.tex b/buch/papers/laguerre/presentation/sections/gamma_approx.tex index 4073b3c..3d32aae 100644 --- a/buch/papers/laguerre/presentation/sections/gamma_approx.tex +++ b/buch/papers/laguerre/presentation/sections/gamma_approx.tex @@ -81,7 +81,7 @@ von $z$ und Grade $n$ der Laguerre-Polynome} \begin{frame}{$f(x) = x^z$} \begin{figure}[h] \centering -\scalebox{0.91}{\input{../images/integrands.pgf}} +\scalebox{0.91}{\input{../images/integrand.pgf}} % \caption{Integrand $x^z$ mit unterschiedlichen Werten für $z$} \end{figure} \end{frame} @@ -89,7 +89,7 @@ von $z$ und Grade $n$ der Laguerre-Polynome} \begin{frame}{Integrand $x^z e^{-x}$} \begin{figure}[h] \centering -\scalebox{0.91}{\input{../images/integrands_exp.pgf}} +\scalebox{0.91}{\input{../images/integrand_exp.pgf}} % \caption{Integrand $x^z$ mit unterschiedlichen Werten für $z$} \end{figure} \end{frame} @@ -98,7 +98,7 @@ von $z$ und Grade $n$ der Laguerre-Polynome} \textbf{Vermutung} \begin{itemize} -\item Es gibt Intervalle $[a(n), a(n+1)]$ in denen der relative Fehler minimal +\item Es gibt Intervalle $[a(n), a(n)+1]$ in denen der relative Fehler minimal ist \item $a(n) > 0$ \end{itemize} @@ -148,7 +148,7 @@ da Gauss-Quadratur nur für kleine $n$ praktischen Nutzen hat} \begin{figure} \centering \vspace{-24pt} -\scalebox{0.7}{\input{../images/estimate.pgf}} +\scalebox{0.7}{\input{../images/estimates.pgf}} % \caption{Integrand $x^z$ mit unterschiedlichen Werten für $z$} \end{figure} \end{column} diff --git a/buch/papers/laguerre/presentation/sections/laguerre.tex b/buch/papers/laguerre/presentation/sections/laguerre.tex index 07cafb8..ed29387 100644 --- a/buch/papers/laguerre/presentation/sections/laguerre.tex +++ b/buch/papers/laguerre/presentation/sections/laguerre.tex @@ -55,7 +55,7 @@ L_n(x) \begin{frame} \begin{figure}[h] \centering -\resizebox{0.74\textwidth}{!}{\input{../images/laguerre_polynomes.pgf}} +\resizebox{0.74\textwidth}{!}{\input{../images/laguerre_poly.pgf}} \caption{Laguerre-Polynome vom Grad $0$ bis $7$} \end{figure} \end{frame} diff --git a/buch/papers/laguerre/quadratur.tex b/buch/papers/laguerre/quadratur.tex index b5ad316..851fe8a 100644 --- a/buch/papers/laguerre/quadratur.tex +++ b/buch/papers/laguerre/quadratur.tex @@ -6,10 +6,12 @@ \section{Gauss-Quadratur \label{laguerre:section:quadratur}} {\large \color{red} TODO: Einleitung und kurze Beschreibung Gauss-Quadratur} + +Siehe Abschnitt~\ref{buch:orthogonalitaet:section:gauss-quadratur} \begin{align} \int_a^b f(x) w(x) \, dx \approx -\sum_{i=1}^N f(x_i) A_i +\sum_{i=1}^n f(x_i) A_i \label{laguerre:gaussquadratur} \end{align} @@ -25,7 +27,7 @@ Gleichung~\eqref{laguerre:laguerrequadratur} lässt sich wie folgt umformulieren \begin{align} \int_{0}^{\infty} f(x) e^{-x} dx \approx -\sum_{i=1}^{N} f(x_i) A_i +\sum_{i=1}^{n} f(x_i) A_i \label{laguerre:laguerrequadratur} \end{align} @@ -45,7 +47,7 @@ l_i(x_j) 0 & \text{sonst.} \end{cases} \end{align*} -Laut \cite{abramowitz+stegun} sind die Gewichte also +Laut \cite{abramowitz+stegun} sind die Gewichte \begin{align} A_i = diff --git a/buch/papers/laguerre/scripts/estimates.py b/buch/papers/laguerre/scripts/estimates.py new file mode 100644 index 0000000..207bbd2 --- /dev/null +++ b/buch/papers/laguerre/scripts/estimates.py @@ -0,0 +1,39 @@ +if __name__ == "__main__": + import matplotlib.pyplot as plt + import numpy as np + + import gamma_approx as ga + import targets + + N = 200 + ns = np.arange(2, 13) + step = 1 / (N - 1) + x = np.linspace(step, 1 - step, N + 1) + + bests = targets.find_best_loc(N, ns=ns) + mean_m = np.mean(bests, -1) + + intercept, bias = np.polyfit(ns, mean_m, 1) + fig, axs = plt.subplots( + 2, num=1, sharex=True, clear=True, constrained_layout=True, figsize=(4.5, 3.6) + ) + xl = np.array([ns[0] - 0.5, ns[-1] + 0.5]) + axs[0].plot(xl, intercept * xl + bias, label=r"$\hat{m}$") + axs[0].plot(ns, mean_m, "x", label=r"$\overline{m}$") + axs[1].plot( + ns, ((intercept * ns + bias) - mean_m), "-x", label=r"$\hat{m} - \overline{m}$" + ) + axs[0].set_xlim(*xl) + axs[0].set_xticks(ns) + axs[0].set_yticks(np.arange(np.floor(mean_m[0]), np.ceil(mean_m[-1]) + 0.1, 2)) + # axs[0].set_title("Schätzung von Mittelwert") + # axs[1].set_title("Fehler") + axs[-1].set_xlabel(r"$n$") + for ax in axs: + ax.grid(1) + ax.legend() + fig.savefig(f"{ga.img_path}/estimates.pgf") + + print(f"Intercept={intercept:.6g}, Bias={bias:.6g}") + predicts = np.ceil(intercept * ns[:, None] + bias - np.real(x)) + print(f"Error: {np.mean(np.abs(bests - predicts))}") diff --git a/buch/papers/laguerre/scripts/gamma_approx.ipynb b/buch/papers/laguerre/scripts/gamma_approx.ipynb deleted file mode 100644 index 82adca6..0000000 --- a/buch/papers/laguerre/scripts/gamma_approx.ipynb +++ /dev/null @@ -1,616 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Gauss-Laguerre Quadratur für die Gamma-Funktion\n", - "\n", - "$$\n", - " \\Gamma(z)\n", - " = \n", - " \\int_0^\\infty t^{z-1}e^{-t}dt\n", - "$$\n", - "\n", - "$$\n", - " \\int_0^\\infty f(x) e^{-x} dx \n", - " \\approx \n", - " \\sum_{i=1}^{N} f(x_i) w_i\n", - " \\qquad\\text{ wobei }\n", - " w_i = \\frac{x_i}{(n+1)^2 [L_{n+1}(x_i)]^2}\n", - "$$\n", - "und $x_i$ sind Nullstellen des Laguerre Polynoms $L_n(x)$\n", - "\n", - "Der Fehler ist gegeben als\n", - "\n", - "$$\n", - " E \n", - " =\n", - " \\frac{(n!)^2}{(2n)!} f^{(2n)}(\\xi) \n", - " = \n", - " \\frac{(-2n + z)_{2n}}{(z-m)_m} \\frac{(n!)^2}{(2n)!} \\xi^{z + m - 2n - 1}\n", - "$$" - ] - }, - { - "cell_type": "code", - "execution_count": 73, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "from cmath import exp, pi, sin, sqrt\n", - "import scipy.special\n", - "\n", - "EPSILON = 1e-07\n" - ] - }, - { - "cell_type": "code", - "execution_count": 74, - "metadata": {}, - "outputs": [], - "source": [ - "lanczos_p = [\n", - " 676.5203681218851,\n", - " -1259.1392167224028,\n", - " 771.32342877765313,\n", - " -176.61502916214059,\n", - " 12.507343278686905,\n", - " -0.13857109526572012,\n", - " 9.9843695780195716e-6,\n", - " 1.5056327351493116e-7,\n", - "]\n", - "\n", - "\n", - "def drop_imag(z):\n", - " if abs(z.imag) <= EPSILON:\n", - " z = z.real\n", - " return z\n", - "\n", - "\n", - "def lanczos_gamma(z):\n", - " z = complex(z)\n", - " if z.real < 0.5:\n", - " y = pi / (sin(pi * z) * lanczos_gamma(1 - z)) # Reflection formula\n", - " else:\n", - " z -= 1\n", - " x = 0.99999999999980993\n", - " for (i, pval) in enumerate(lanczos_p):\n", - " x += pval / (z + i + 1)\n", - " t = z + len(lanczos_p) - 0.5\n", - " y = sqrt(2 * pi) * t ** (z + 0.5) * exp(-t) * x\n", - " return drop_imag(y)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 75, - "metadata": {}, - "outputs": [], - "source": [ - "zeros, weights = np.polynomial.laguerre.laggauss(8)\n", - "# zeros = np.array(\n", - "# [\n", - "# 1.70279632305101000e-1,\n", - "# 9.03701776799379912e-1,\n", - "# 2.25108662986613069e0,\n", - "# 4.26670017028765879e0,\n", - "# 7.04590540239346570e0,\n", - "# 1.07585160101809952e1,\n", - "# 1.57406786412780046e1,\n", - "# 2.28631317368892641e1,\n", - "# ]\n", - "# )\n", - "\n", - "# weights = np.array(\n", - "# [\n", - "# 3.69188589341637530e-1,\n", - "# 4.18786780814342956e-1,\n", - "# 1.75794986637171806e-1,\n", - "# 3.33434922612156515e-2,\n", - "# 2.79453623522567252e-3,\n", - "# 9.07650877335821310e-5,\n", - "# 8.48574671627253154e-7,\n", - "# 1.04800117487151038e-9,\n", - "# ]\n", - "# )\n", - "\n", - "\n", - "def pochhammer(z, n):\n", - " return np.prod(z + np.arange(n))\n", - "\n", - "\n", - "def find_shift(z, target):\n", - " factor = 1.0\n", - " steps = int(np.floor(target - np.real(z)))\n", - " zs = z + steps\n", - " if steps > 0:\n", - " factor = 1 / pochhammer(z, steps)\n", - " elif steps < 0:\n", - " factor = pochhammer(zs, -steps)\n", - " return zs, factor\n", - "\n", - "def find_optimal_shift(z, n):\n", - " mhat = 1.34093 * n + 0.854093\n", - " steps = int(np.ceil(mhat - np.real(z)))-1\n", - " return steps\n", - "\n", - "\n", - "def get_shifting_factor(z, steps):\n", - " zs = z + steps\n", - " factor = 1.0\n", - " if steps > 0:\n", - " factor = 1 / pochhammer(z, steps)\n", - " elif steps < 0:\n", - " factor = pochhammer(zs, -steps)\n", - " return factor\n", - "\n", - "\n", - "def laguerre_gamma_shift(z, x, w):\n", - " z = complex(z)\n", - " n = len(x)\n", - "\n", - " z += 0j\n", - " # z_shifted, correction_factor = find_shift(z, target)\n", - " opt_shift = find_optimal_shift(z, n)\n", - " correction_factor = get_shifting_factor(z, opt_shift)\n", - " z_shifted = z + opt_shift\n", - "\n", - " res = np.sum(x ** (z_shifted - 1) * w)\n", - " res *= correction_factor\n", - " res = drop_imag(res)\n", - " return res\n", - "\n", - "\n", - "def laguerre_gamma(z, x, w, target=11):\n", - " # res = 0.0\n", - " z = complex(z)\n", - " n = len(x)\n", - " # if z.real < 1e-3:\n", - " # res = pi / (\n", - " # sin(pi * z) * laguerre_gamma(1 - z, x, w, target)\n", - " # ) # Reflection formula\n", - " # else:\n", - " # z_shifted, correction_factor = find_shift(z, target)\n", - " # res = np.sum(x ** (z_shifted - 1) * w)\n", - " # res *= correction_factor\n", - " \n", - " z_shifted, correction_factor = find_shift(z, target)\n", - " \n", - " # opt_shift = find_optimal_shift(z, n)\n", - " # correction_factor = get_shifting_factor(z, opt_shift)\n", - " # z_shifted = z + opt_shift\n", - " \n", - " res = np.sum(x ** (z_shifted - 1) * w)\n", - " res *= correction_factor\n", - " res = drop_imag(res)\n", - " return res\n" - ] - }, - { - "cell_type": "code", - "execution_count": 76, - "metadata": {}, - "outputs": [], - "source": [ - "def eval_laguerre(x, target=12):\n", - " return np.array([laguerre_gamma(xi, zeros, weights, target) for xi in x])\n", - "\n", - "\n", - "def eval_laguerre2(x):\n", - " return np.array([laguerre_gamma_shift(xi, zeros, weights) for xi in x])\n", - "\n", - "\n", - "def eval_lanczos(x):\n", - " return np.array([lanczos_gamma(xi) for xi in x])\n", - "\n", - "\n", - "def eval_mean_laguerre(x, targets):\n", - " return np.mean([eval_laguerre(x, target) for target in targets], 0)\n", - "\n", - "\n", - "def calc_rel_error(x, y):\n", - " return (y - x) / x\n", - "\n", - "\n", - "def evaluate(x, target=12):\n", - " lanczos_gammas = eval_lanczos(x)\n", - " laguerre_gammas = eval_laguerre(x, target)\n", - " rel_error = calc_rel_error(lanczos_gammas, laguerre_gammas)\n", - " return rel_error\n", - "\n", - "def evaluate2(x):\n", - " lanczos_gammas = eval_lanczos(x)\n", - " laguerre_gammas = eval_laguerre2(x)\n", - " rel_error = calc_rel_error(lanczos_gammas, laguerre_gammas)\n", - " return rel_error\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Test with real values" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Empirische Tests zeigen:\n", - "- $n=4 \\Rightarrow m=6$\n", - "- $n=5 \\Rightarrow m=7$ oder $m=8$\n", - "- $n=6 \\Rightarrow m=9$\n", - "- $n=7 \\Rightarrow m=10$\n", - "- $n=8 \\Rightarrow m=11$ oder $m=12$\n", - "- $n=9 \\Rightarrow m=13$\n", - "- $n=10 \\Rightarrow m=14$\n", - "- $n=11 \\Rightarrow m=15$ oder $m=16$\n", - "- $n=12 \\Rightarrow m=17$\n", - "- $n=13 \\Rightarrow m=18 \\Rightarrow $ Beginnt numerisch instabil zu werden \n" - ] - }, - { - "cell_type": "code", - "execution_count": 87, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "zeros, weights = np.polynomial.laguerre.laggauss(8)\n", - "targets = np.arange(9, 14)\n", - "mean_targets = ((9, 10),)\n", - "x = np.linspace(EPSILON, 1 - EPSILON, 101)\n", - "_, axs = plt.subplots(\n", - " 2, sharex=True, clear=True, constrained_layout=True, figsize=(12, 12)\n", - ")\n", - "\n", - "lanczos = eval_lanczos(x)\n", - "# for mean_target in mean_targets:\n", - "# vals = eval_mean_laguerre(x, mean_target)\n", - "# rel_error_mean = calc_rel_error(lanczos, vals)\n", - "# axs[0].plot(x, rel_error_mean, label=mean_target)\n", - "# axs[1].semilogy(x, np.abs(rel_error_mean), label=mean_target)\n", - "\n", - "mins = []\n", - "maxs = []\n", - "for target in targets:\n", - " rel_error = evaluate(x, target)\n", - " mins.append(np.min(np.abs(rel_error[(0.05 <= x) & (x <= 0.95)])))\n", - " maxs.append(np.max(np.abs(rel_error)))\n", - " axs[0].plot(x, rel_error, label=target)\n", - " axs[1].semilogy(x, np.abs(rel_error), label=target)\n", - " \n", - "rel_error = evaluate2(x)\n", - "axs[0].plot(x, rel_error, label=\"Optimal shift\")\n", - "axs[1].semilogy(x, np.abs(rel_error), label=\"Optimal shift\")\n", - "\n", - "# axs[0].set_ylim(*(np.array([-1, 1]) * 3.5e-8))\n", - "\n", - "axs[0].set_xlim(x[0], x[-1])\n", - "axs[1].set_ylim(np.min(mins), 1.04*np.max(maxs))\n", - "for ax in axs:\n", - " ax.legend()\n", - " ax.grid(which=\"both\")\n" - ] - }, - { - "cell_type": "code", - "execution_count": 82, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(-7.5, 25.0)" - ] - }, - "execution_count": 82, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", 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", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "targets = (16, 17)\n", - "xmax = 15\n", - "x = np.linspace(-xmax + EPSILON, xmax - EPSILON, 1000)\n", - "\n", - "mean_lag = eval_mean_laguerre(x, targets)\n", - "lanczos = eval_lanczos(x)\n", - "rel_error = calc_rel_error(lanczos, mean_lag)\n", - "rel_error_simple = evaluate(x, targets[-1])\n", - "rel_error_opt = evaluate2(x)\n", - "# rel_error = evaluate(x, target)\n", - "\n", - "_, axs = plt.subplots(\n", - " 2, sharex=True, clear=True, constrained_layout=True, figsize=(12, 12)\n", - ")\n", - "axs[0].plot(x, rel_error, label=targets)\n", - "axs[1].semilogy(x, np.abs(rel_error), label=targets)\n", - "axs[0].plot(x, rel_error_simple, label=targets[-1])\n", - "axs[1].semilogy(x, np.abs(rel_error_simple), label=targets[-1])\n", - "axs[0].plot(x, rel_error_opt, label=\"Optimal\")\n", - "axs[1].semilogy(x, np.abs(rel_error_opt), label=\"Optimal\")\n", - "axs[0].set_xlim(x[0], x[-1])\n", - "# axs[0].set_ylim(*(np.array([-1, 1]) * 4.2e-8))\n", - "# axs[1].set_ylim(1e-10, 5e-8)\n", - "for ax in axs:\n", - " ax.legend()\n", - "\n", - "x2 = np.linspace(-5 + EPSILON, 5, 4001)\n", - "_, ax = plt.subplots(constrained_layout=True, figsize=(8, 6))\n", - "ax.plot(x2, eval_mean_laguerre(x2, targets))\n", - "ax.set_xlim(x2[0], x2[-1])\n", - "ax.set_ylim(-7.5, 25)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Test with complex values" - ] - }, - { - "cell_type": "code", - "execution_count": 79, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "targets = (16, 17)\n", - "vals = np.linspace(-5 + EPSILON, 5, 100)\n", - "x, y = np.meshgrid(vals, vals)\n", - "mesh = x + 1j * y\n", - "input = mesh.flatten()\n", - "\n", - "mean_lag = eval_mean_laguerre(input, targets).reshape(mesh.shape)\n", - "lanczos = eval_lanczos(input).reshape(mesh.shape)\n", - "rel_error = np.abs(calc_rel_error(lanczos, mean_lag))\n", - "\n", - "lag = eval_laguerre(input, targets[-1]).reshape(mesh.shape)\n", - "rel_error_simple = np.abs(calc_rel_error(lanczos, lag))\n", - "# rel_error = evaluate(x, target)\n", - "\n", - "fig, axs = plt.subplots(\n", - " 2,\n", - " 2,\n", - " sharex=True,\n", - " sharey=True,\n", - " clear=True,\n", - " constrained_layout=True,\n", - " figsize=(12, 10),\n", - ")\n", - "_c = axs[0, 1].pcolormesh(x, y, np.log10(np.abs(lanczos - mean_lag)), shading=\"gouraud\")\n", - "_c = axs[0, 0].pcolormesh(x, y, np.log10(np.abs(lanczos - lag)), shading=\"gouraud\")\n", - "fig.colorbar(_c, ax=axs[0, :])\n", - "_c = axs[1, 1].pcolormesh(x, y, np.log10(rel_error), shading=\"gouraud\")\n", - "_c = axs[1, 0].pcolormesh(x, y, np.log10(rel_error_simple), shading=\"gouraud\")\n", - "fig.colorbar(_c, ax=axs[1, :])\n", - "_ = axs[0, 0].set_title(\"Absolute Error\")\n", - "_ = axs[1, 0].set_title(\"Relative Error\")\n" - ] - }, - { - "cell_type": "code", - "execution_count": 80, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "z = 0.5\n", - "ns = [4, 5, 5, 6, 7, 8, 8, 9, 10, 11, 11, 12] # np.arange(4, 13)\n", - "ms = np.arange(6, 18)\n", - "xi = np.logspace(0, 2, 201)[:, None]\n", - "lanczos = eval_lanczos([z])[0]\n", - "\n", - "_, ax = plt.subplots(clear=True, constrained_layout=True, figsize=(12, 8))\n", - "ax.grid(1)\n", - "for n, m in zip(ns, ms):\n", - " zeros, weights = np.polynomial.laguerre.laggauss(n)\n", - " c = scipy.special.factorial(n) ** 2 / scipy.special.factorial(2 * n)\n", - " e = np.abs(\n", - " scipy.special.poch(z - 2 * n, 2 * n)\n", - " / scipy.special.poch(z - m, m)\n", - " * c\n", - " * xi ** (z - 2 * n + m - 1)\n", - " )\n", - " ez = np.sum(\n", - " scipy.special.poch(z - 2 * n, 2 * n)\n", - " / scipy.special.poch(z - m, m)\n", - " * c\n", - " * zeros[:, None] ** (z - 2 * n + m - 1),\n", - " 0,\n", - " )\n", - " lag = eval_laguerre([z], m)[0]\n", - " err = np.abs(lanczos - lag)\n", - " # print(m+z,ez)\n", - " # for zi,ezi in zip(z[0], ez):\n", - " # print(f\"{m+zi}: {ezi}\")\n", - " # ax.semilogy(xi, e, color=color)\n", - " lines = ax.loglog(xi, e, label=str(n))\n", - " ax.axhline(err, color=lines[0].get_color())\n", - " # ax.set_xticks(np.arange(xi[-1] + 1))\n", - " # ax.set_ylim(1e-8, 1e5)\n", - "_ = ax.legend()\n", - "# _ = ax.legend([f\"z={zi}\" for zi in z[0]])\n", - "# _ = [ax.axvline(x) for x in zeros]\n" - ] - }, - { - "cell_type": "code", - "execution_count": 81, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[ 3.53233831 4.88557214 6.2238806 7.56716418 8.90547264 10.23383085\n", - " 11.5721393 12.91044776 14.23880597 15.57711443 17. ]\n", - "Intercept=1.34093, Bias=0.854093\n", - "35.0\n" - ] - }, - { - "data": { - "image/png": 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caTwlG/QFQwVXSFqT+746S1U9jD3N7N7s7/uAPYeU/STwXUkXEhT5OjP71SihFiiivO82s69lf3+xaMOjyDIKvhY4t9/v+XzeB+66S2O0WYL7vB2nCgoMWG40s+IJ9B7XvpmGW2KfJei4NvDHwMGSlpvZM4q0X0R5XyPp7cBHzCYaB/F7wI1m9vMJthk9klFSrp9G4w9EJ48R8giVwM8l7WVm90raC7h/SNn1ZvY3+Q2SCofOF1HeBwD/DThH0g3AWmCtmY1rhZ/MAJdJL8Ia40qQmrOvVSKLPxFRk4gh2mQA3wBOBc7P/v/6kLJrJZ1tZh9d2LCYscSRytvMjgeQtAPbFPnvMoYLRdJOwCuBPypepxkKrdPqRjuCP83EPiHDmSzB8h47VPBSwuDkCknrgfMISvsySWcAdwMnDmliT+AVks4BbgR+yCIM48Khgmb2KGGl9xuK1hnS1iOEUdZiCFoNSkwV9+JM04tb3vFQ+pmawCQdMzt5wE8vL1j/RNjqKjmQYBgfTkHDOI4ZlhhSM5R3U9IAVE06A4mImkX5b9rT8oabuUpuzD6FiUJ5N2WSDkCnswUrZyCl0UzLjeoUpOxQQVTWgGVlxKG8gaQhbpOQw8Wt70nT7SbuNomIStawjHwYLQrlLRlJQ3KbdDrzpJGvaj2NtNvz7jaJirKXQSstVLAyolDeEPc03MXQas2TlLQ6SZPZMt/2VYoiopqsgiX3UTJRKO9geTfjxmu1m/GGUTWtzWljIpac0bjlXSFNifNut+fdN1sCSZI2JmJpFoh4kk5l1KK8s+n2byY8AH8EnGZmjw2v04wbL/Eg71JotbqNMQBmggr0auxXQx2LMewN/ClwgJk9KukyQnbBiwdXgqYk/FDajIdU1XjaASePAfNueS+53x0kbQF2JKwiMYQG3XithuxnxUjWmEFvpxixuycr99hnScf/DvgpcC/wKzO7omo5HMdpLmYht8mwz7RTufKW9ETCahP7AU8FdpJ0Sp9yZ0paI2nNA495BIbjOJMlNQ39TDt1uE1eAdxpZr8AkPQV4H8QEpNvJb8YwyErdjA1xOftlIOSBrneKiZG90OYHh+f3HnqUN4/BY6QtCPwKCED15rhVRxnPHzAMi7KDxWE2EMD6lg9/npJXyJk0JoHfkBmYQ9CNCfO2ymHpNWl3Z6vW4yZwyyh241vsosR5xtDnlqiTczsPELi8mI0KLeJUw6tJG1MZsoqMbNycvFUoFe7kduD8cywdJ+3MwZJK/XUAyVgJS0vV7bbxGz8NMFLmWw4SeJQ3gK55e2MQdKepx3h6/20YybSMo5rJZb30jtZ0mTDCROF8m5SYiqnHFodzxlTBtZtoS3xvRUbExmwXORkw8kShfIGkPsrnTFwt0k5pLJSxhKqCFAYx/I2sw2SFiYbPgpcUfVkwziUtwy55e2MQdKZ94ilEujOt2hF6NI0Cq2ks0JSPox5dTb/pHey4UPAFyWdYmaffXwz5RCF8hbu83bGI2kLc+VdCrE+FAssxrDRzFYN+K3QZMMyiUJ5I482ccYjaaeYX0OlUMZ4VOkPhPHzl9Q+2bCufN5nA39IMKr/ycw+MryGNSYlrFMOolvB2lrNQ6mizLU/7oDlUiYbTpo68nkfRFDchwObgcsl/YuZ3Ta8XnwXiDNFtIDEQwUnTWJpOYZVBJN0Fj3ZcMLUYXk/D7jezH4LIOm7wBuADw2s4W4TZwIIHzeZNN35pCQXR/mrx8eQOXAYdZgiNwEvkvSkzF90DLBvDXI4jjMmMRtVXRv+mXbqSEx1i6QPAlcAjwBr4fEmkaQzgTMB9t3FX3cdx5kcITFV3VKMR12JqS4ELgSQ9NfA+j5ltubzPuypHfMBS8eZTmK1vmMfRasr2uTJZna/pKcR/N1HDK9gzYrzNmGpv204EVDSIhdle6MtEtfIMOqK8/6ypCcBW4C3mdlDwwqLeJ/uS8FSTwfgxIGUlpOuuYKJPwVmWE41dblNXrSoCjLUaVAi/W4Cbnk7EaB2SlLGvVmy6W245V0NMrSsQcp7UweL3iPnNAElKa0SlHcVU+7d8q4CgToNUmbpPMy36pbCcUaTpiSdybtNylbebnlXhUDL6haiOqxr8ZsFTiNQu1uOS7P03CYeKlgNCTAX92yoxaDNaSxnxmk6SUprbvPk263CbVJ6D+USh4pIBMsbZHo/ugm55e1EgCWUYnm722Q0cShvCZZ16paiMtTehLnydiJAqaESfN5VJKaK/RaLR3l3GmR5t+QpcJ1o0LISlHfJ179b3lUhQTsOUSdCW1Eu6uo0kARK8R5XYnnHfY+VphElXQQcC9xvZgdl23YHvgCsBO4CTjSzXxZoDWs3yG2SJOAzLJ1IUIR2lU+PH87FwAXAJblt7wG+Y2bnS3pP9v2ckS01zfJOVE+yXsdZCmVcq6Vb3oaVnDO8bErTiGZ2jaSVPZuPA47M/v4McDVFlXfSoEkrSeJLdjnxEKH7oeDq8UORtBvwKeCgrMnTzezacWUrStXm7J5mdm/2933AnoMK5vN5P23PBlndjhMbkRoa3fEfOh8FLjezEyQtA3YcX6ri1PZybmbGkLWOzGy1ma0ys1UrdnPl7TjO5FhYgHjYZxiSdgVeTLYugZltHpUdddJUrRV/LmkvM7tX0l7A/UUrWoMWj5X7vMvDx4GdjAKW9wpJa3LfV2eLxADsB/wC+LSkQ4AbgLPN7JHJS9qfqpX3N4BTgfOz/79euGaDlDftNrQblEWxSuYbtKhHzFSQErZAqOBGM1s14Lc2cBhwlpldL+mjhACMv5iclMMpM1TwUsLg5ApJ64HzCEr7MklnAHcDJxZsrFkDlq02tBu0v47TSwV+9O540SbrgfVmdn32/UsE5V0ZZUabnDzgp5cvqb2mWd4NSgdQGWkaPk7jMYx0DOVtZvdJukfSc8zsVoJeu3liAhYgjpFAJdBuzvR4WzaHXMlMnjR1t0kslL6I5URmWJ4FfC6LNLkDOG1suRZBJMq7WTMsWTYX+fSB6UTzW2BLCelLnRIoV3sb0B1z9NrM1gKDfOKlE4XyNsAa5PO2ZXNVpHZoHJYkaNNjdYvhFKECn/c4bpNpIArlHSzvJrlNljfLx18R2pygVhyXfOMpPdrExra86yaOK1lJo5R3umw5atCbRlUoTZsVcho1JWtvQSpX3tUQY+qyJWLtZc0KjawIS7vNSnAWMyW7TYLlHffgdRxXshKsPVe3FJVi5pN0Jk7aJfGHopPhPu8BDMjn/fvA+4DnAYeb2ZrBLWzXWqMsUWvPQdqc/a2M5FF3m8RCFQOW7jYZyMU8Pp/3TcAbgE8uqiWBJXG8JEwCQaMeVlUR3FGuvJ3gNpkn7rfbSvN5m9ktAIo0hWRVNOlBVSWWtPyhGAul64gwxzJmplZL5PN577v3TjVL4zjOLGEY84rb8p7ad8jt8nk/qVmDlY7jlI/RHfqZdqbW8t6eZg1YOiWhtk9+cgD3eVeGIfcDO2NjSQualCMnZirxeU+/dT2MqvN5Pwh8DNgD+FdJa83sqAKNNWqSjlMSSbtZCc5ipvRJOpD6gGV/huTz/uqSGnTL2xkTa89hy5bXLYZTBJXt3jK6bCm5j3KJQyMqgZbfdM54WPsx0mU71C2GUwCrwPL2UMFKECT+uuuMSWs51tmxbimcIlRheZtb3qUjJcgtb2dMLN1CunyXusVwilB6dNlkBiwltYA1wAYzO3bsBhdBFMob5MrbmQjWebhuEZwCmMpV3obRnUzyt7OBW4DKrYI4lLcSksSVtzMeKWBzT6xbDKcIJStvDMzGs7wl7QO8GvgA8I5JiLUY4lDeCHm0iTMmCcux9hPqFsMpgEr2eYfMJmMPWH4EeDew89gCLYEoNKIAeZy3MyZqtT1PeixUMGCZjh6wXCEpn7Z6tZmtBpC0kO76BklHliPjcKrO5/23wGuAzcDtwGlm9tDoxhJaiec3ccbDrAtueUeBKki7ZDbS8t5oZoNWh38h8FpJxwDLgV0kfdbMTpmkjMOoOp/3lcC5ZjYv6YPAucA5oxoSInHL2xmTFGiV7Ut1JkMVbpMxQgXN7FyC/iKzvN9VpeKG6vN5X5H7eh1wQln9O04vbgDEg8pegBgrYnlPNXVezacDX6ixf8dxmopBOqHxDzO7Grh6Io0tglqUt6T3AvPA54aU2boYw9Oe9qSKJHMcpxnEv5JO5cmNJb2JMJD5RjMbuHxzfjGGPfbwWXGO40wOIwxgD/tMO5Va3pKOJsRFvsTMfltl347jONuw6MNGS7O8s3ze1wLPkbRe0hmE6JOdgSslrZX0ibL6dxzHGUxwmwz7TDtV5/O+sKz+HMdxFkXklrfHTjmO00DiH7B05e04TjOJYFByGK68HcdpIIYxMNgtCjQkWm9qkPQb4L7s66+AXXM/935f2LYCtlukblC5hW0dYOOIMr3bOrk+ypRryyLaHyXXIFlnXa5B7S9Frn7XShPkWtiWPydLlatfufz3p5hZadn6JF1O2I9hbDSzo8uSYVxiUd5rgBsBzOxMSasXfuv9ntu2tc6IcgvbDjOzVSPK9G47rAq5gBsX0f5QuYbIOtNyDWl/0XLR51ppgly5bQPvx6JyjdjvrXVwBhKT2+SbA/7u930x5Ra2HVagTO+2wyqS65sDyi1VrqLbZk2uQW0tVq5B10oT5Oq3faly9dvWez86gzCzqf8Aa8quU0UfLtdsyNXkfZ9muZr2qXx6/BJZPbrI2HWq6GMpdVyuZvaxlDpNl6tRROHzdhzHcbYnFsvbcRzHyVO33wY4GrgVuA14T5/f5wh5v28DrgdOzZW/PPv/VuCoAeVXZn3cTlhM5WfAWuATuT5eTBg9nycsEJGX6TLgv7LPqf3K9+yH5fr4Rq6PdwA3A+uA7wBPz9X5OSGUamsfBeoM6uctwI+y7d8jpNUddrx6yx8w6njl+jo+k+OsYX30Kb+qwDl5E/CLbPta4M0FjldvnQ/n5Epz2/PH68TsGP8Y+PyoPkbUGXROPpzr+yfAwwy/vnrLP1Sgj6cBVwE/IFwvx+TqPJDty3bnpE+dv8jK3EUIBVyQ4RNZ+acTrsN1hPzV+xQ4J711/hm4H7gJ6PaeE8KStf+QHZt1hKiThbZO7T1WTf7UrbhbhBt4f2AZ8EPggJ4yf5y7eE7OLvz9gUOAR7P/98vaafWUPym7OW4HXkS42fr1sRI4mLBk24k5mfYENgEvAJ4I3JH9ny9/Qs9+PDygj5cCO2Z/vzUn16FZuzcBRyz0MaLOsH52yf39OuC3I45XvvxrCcp36PHKyu4MXENYEWn9sD76lD+8wDl5E3BBn2tl2PHaWofHX1vdPn08i6C4Fuo/pUAfg+oMPCc9ff4p8GuGXF895c8CPl3gvK8G3pr9fQBBAd8OvIqgBNcBr+w5J/k6BxEU9v7ZPj7ap48vsu0B8zLgswWOV2+dfyNEktwEPNzn+BwDfJugxI8Ars+27561u/ugY9W0T91uk8OB28zsDjPbTHgqH9dT5jjgM9nf9xBuxDsJJ/m7wDFmdifhSX14T/kvES7e27K61q8PM7vLzNYRrLNnLshEuNjWAkea2S8Ja3Ae3VN+u/3Ivvfr4yrblgb3OuC5mVzPzdr9HEFZX0mwZgbWGdHPr3NfDwYeycr3PV495XciTJIYerwy/gr4IOF83DOsj57yjwEHFuwjz+GMOF79yueurfk+ffwh8PHs3EJ44Izqo2+dYeekhzcDPxl2ffWUP5nwsBjVhwELie93JTwgbgP+O3Bp9lnF9uckX+cFBGV6B9sm7fT2cQDw79nfVwGvZ/Tx6q3zAuDBfgcm4zjgEgtcB+wmaS/gKOBKM3twyLFqFHUr770JN/AC67Ntg8o8hXDzPynbfmeu/ELdreUtJOx9jPCaBuFG+yPgTyS9aIBMu+f62xv4aZ8+hu3HcsINfrak1w3o4wyCxXlPru5C24P6yNcZ2o+kt0m6nWDlXZWTsd/xypf/EOEGXOij7/GSdBiwr5n9K8FN9fNhffSUB9hjVB8Zx0taJ+lLhAdRkeN1vKR1wN+zvZJoA2+XdF3ueD0beLak/5B0HfDqAn0MqgMjzr2kpwP7EiznheM18PrKyu9HmF08qo/3AadIWg98i2AVj9qXfJ0Ps/1SXrsB75D03dx5+SHwhuzv1wM7Eu6tYX301tk5axtguaQ1PedkkE4ooisaRd3Ku0ruJfj4/oLg2/28pDKW6Hk6cB5wBfARSc/I/yjpFIIF9PWiDQ6oM7AfM/u4mT2DcAM/f1T7ufLnsG1R6L7HS1JCUIzvLCr+kPLDzsk3gZVmdjDByvqTAn3l66wDXpL77e0Et9MfsO14tQkugiMJFu5bCG8SwxhWZ+i5J7jxroXCSTVOIrw95tPfDerjZOBiM9uH8AZ0VoH283X+GjgyO7/3Eo7XFwjjLgvn5V3ASyT9gHBsHyywL711NuT25+kWZlHmz4lTkLqV9waCJbLAPtm2QWXuI1geD2Tb98uVX6i7tbykdlb+yWa2ycweyMqtJfjqnt1Hpgdz/W0gKJfePgbuh5ltyMrdQrBkDl0oJOkVwHsJvuW7szoLdRfa3q6PAXWG9pPjsuwYLcjY73jl+WfCQ2LfIcdrZ4J/9GpJdxHcTEdLWjWgj1/2lD8C+D/AgcPOiZk9YGabsnY+lbU79Hj11LmEYOEvsBOwIXMLLByv9YSBsi2Zm+dOgmIedk4G1SlyTk4Cvkbx6+skgrujyPV1BuF8Y2bXEu7tZ4zYl611CG9oc8CK7Bjulh2vG8jOi5n9zMzeYGaHEq7JLsFvP+yc9NaB4NJZ2Bd6zskgnVBEVzSLOh3uBCvmDsKNuTBgeWBPmbexbQDyDwgDNvuxbXDs+dn3OwiDVPnyJxEGTO4g+P6WZ30cRTjxu/f0dTFhwHJBpt4BpTvzdbLyJ+T24xDgCVkfLySMih+QlT2UcBM8q2ffn5+1e1PWz9Y+htQZ1s+zcvIdl8k/7Hjly78GWFP0eGV1vktQaAP76Cl/NfC7o/oA9srVeT3B5z/qeOXrHE9wme0HPJlgiR9ISEb0X2yLqvlMVn4F4bX8rhF9DKoz8JxkZZ+blctf8wOvr1x5FTzv3wbelP39PEJEyh1sP2D5qvw56alzEGFcYD/gqVkfBxIGMDcQ3IkrgCQr/wHCOMaoc9Jb5/2EAf+bgblcmYVz8mq2H7D8flZm96zdJ/Yeq6Z+6hcgvOL9hKCk3pttez/w2uzv5QQFfBvwfeD0XPkrsv83Au8bUH7/rI+fAZsJr4Q3EiyahT5+h6CAHiFY9Xfn+vhy1taDwEcHlP9x1sdPCTfjvYTwu2/k+vi/BN/w2uzzjdy+35+1cxvBNTKqzrB+PprJs5ZgTb1lxPHqLX/gqOPVc/6uJvjWB/bRp/yqAufkb9gWiXIVQZmNOl69dc7Myq8nvLX9MDue/5CVX3Dp3Jwdx5MK9DGozsBzktV7H3B+n2v+cddXb/lcnWHn/QDgP7J9XEtQ1Av9PJB9biWMaQyq896s/H1su+7uBf4qK38CQcn+hPA2NFfgePXW+ULW5jxhYPQewsPhktzx/Xh2bH4ErModg9Oz9m8DTqtbd9X98RmWjuM4EVK3z9txHMdZAq68HcdxIsSVt+M4ToS48nYcx4kQV96O4zgR4srbcRwnQlx5O47jRIgrb2cqkfTvktZmn8cknVi3TI4zTfgkHWeqkfRWQprRk82sW7c8jjMttOsWwHEGIel/A78HHO+K23G2x5W3M5VI+n3gjcBxZralbnkcZ9pw5e1MHZKOJSxnd6yZPVa3PI4zjbjP25k6JD1AyLL3SLbpY2Z2YY0iOc7U4crbcRwnQjxU0HEcJ0JceTuO40SIK2/HcZwIceXtOI4TIa68HcdxIsSVt+M4ToS48nYcx4kQV96O4zgR8v8BcthPbE9QNgsAAAAASUVORK5CYII=", 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", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "bests = []\n", - "N = 200\n", - "step = 1 / (N - 1)\n", - "a = 11 / 8\n", - "b = 1 / 2\n", - "x = np.linspace(step, 1 - step, N + 1)\n", - "ns = np.arange(2, 13)\n", - "for n in ns:\n", - " zeros, weights = np.polynomial.laguerre.laggauss(n)\n", - " est = np.ceil(b + a * n)\n", - " targets = np.arange(max(est - 2, 0), est + 3)\n", - " rel_errors = np.stack([np.abs(evaluate(x, target)) for target in targets], -1)\n", - " best = np.argmin(rel_errors, -1) + targets[0]\n", - " bests.append(best)\n", - "bests = np.stack(bests, 0)\n", - "\n", - "fig, ax = plt.subplots(clear=True, constrained_layout=True, figsize=(5, 3))\n", - "v = ax.imshow(bests, cmap=\"inferno\", aspect=\"auto\")\n", - "plt.colorbar(v, ax=ax, label=r'$m$')\n", - "ticks = np.arange(0, N + 1, 10)\n", - "ax.set_xlim(0, 1)\n", - "ax.set_xticks(ticks, [f\"{v:.2f}\" for v in ticks / N])\n", - "ax.set_xticks(np.arange(N + 1), minor=True)\n", - "ax.set_yticks(np.arange(len(ns)), ns)\n", - "ax.set_xlabel(r\"$z$\")\n", - "ax.set_ylabel(r\"$n$\")\n", - "# for best in bests:\n", - "# print(\", \".join([f\"{int(b):2d}\" for b in best]))\n", - "# print(np.unique(bests, return_counts=True))\n", - "\n", - "targets = np.mean(bests, -1)\n", - "intercept, bias = np.polyfit(ns, targets, 1)\n", - "_, axs2 = plt.subplots(2, sharex=True, clear=True, constrained_layout=True)\n", - "xl = np.array([1, ns[-1] + 1])\n", - "axs2[0].plot(ns, intercept * ns + bias)\n", - "axs2[0].plot(ns, targets, \"x\")\n", - "axs2[1].plot(ns, ((intercept * ns + bias) - targets), \"-x\")\n", - "print(np.mean(bests, -1))\n", - "print(f\"Intercept={intercept:.6g}, Bias={bias:.6g}\")\n", - "\n", - "\n", - "predicts = np.ceil(intercept * ns[:, None] + bias - x)\n", - "print(np.sum(np.abs(bests-predicts)))\n", - "# for best in predicts:\n", - "# print(\", \".join([f\"{int(b):2d}\" for b in best]))\n" - ] - } - ], - "metadata": { - "interpreter": { - "hash": "767d51c1340bd893661ea55ea3124f6de3c7a262a8b4abca0554b478b1e2ff90" - }, - "kernelspec": { - "display_name": "Python 3.8.10 64-bit", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.3" - }, - "orig_nbformat": 4 - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/buch/papers/laguerre/scripts/gamma_approx.py b/buch/papers/laguerre/scripts/gamma_approx.py index 53ba76b..208f770 100644 --- a/buch/papers/laguerre/scripts/gamma_approx.py +++ b/buch/papers/laguerre/scripts/gamma_approx.py @@ -8,6 +8,7 @@ import scipy.special EPSILON = 1e-7 root = str(Path(__file__).parent) img_path = f"{root}/../images" +fontsize = "medium" def _prep_zeros_and_weights(x, w, n): @@ -26,17 +27,6 @@ def pochhammer(z, n): return np.prod(z + np.arange(n)) -def find_shift(z, target): - factor = 1.0 - steps = int(np.floor(target - np.real(z))) - zs = z + steps - if steps > 0: - factor = 1 / pochhammer(z, steps) - elif steps < 0: - factor = pochhammer(zs, -steps) - return zs, factor - - def find_optimal_shift(z, n): mhat = 1.34093 * n + 0.854093 steps = int(np.floor(mhat - np.real(z))) @@ -44,6 +34,7 @@ def find_optimal_shift(z, n): def get_shifting_factor(z, steps): + factor = 1.0 if steps > 0: factor = 1 / pochhammer(z, steps) elif steps < 0: @@ -56,7 +47,9 @@ def laguerre_gamma_shifted(z, x=None, w=None, n=8, target=11): n = len(x) z += 0j - z_shifted, correction_factor = find_shift(z, target) + steps = int(np.floor(target - np.real(z))) + z_shifted = z + steps + correction_factor = get_shifting_factor(z, steps) res = np.sum(x ** (z_shifted - 1) * w) res *= correction_factor @@ -112,167 +105,3 @@ def eval_laguerre_gamma(z, x=None, w=None, n=8, func="simple", **kwargs): def calc_rel_error(x, y): return (y - x) / x - - -# Simple / naive -xmin = -5 -xmax = 30 -ns = np.arange(2, 12, 2) -ylim = np.array([-11, 6]) -x = np.linspace(xmin + EPSILON, xmax - EPSILON, 400) -gamma = scipy.special.gamma(x) -fig, ax = plt.subplots(num=1, clear=True, constrained_layout=True, figsize=(5, 2.5)) -for n in ns: - gamma_lag = eval_laguerre_gamma(x, n=n) - rel_err = calc_rel_error(gamma, gamma_lag) - ax.semilogy(x, np.abs(rel_err), label=f"$n={n}$") -ax.set_xlim(x[0], x[-1]) -ax.set_ylim(*(10.0 ** ylim)) -ax.set_xticks(np.arange(xmin, xmax + EPSILON, 5)) -ax.set_xticks(np.arange(xmin, xmax), minor=True) -ax.set_yticks(10.0 ** np.arange(*ylim, 2)) -ax.set_yticks(10.0 ** np.arange(*ylim, 2)) -ax.set_xlabel(r"$z$") -ax.set_ylabel("Relativer Fehler") -ax.legend(ncol=3, fontsize="small") -ax.grid(1, "both") -fig.savefig(f"{img_path}/rel_error_simple.pgf") - - -# Mirrored -xmin = -15 -xmax = 15 -ylim = np.array([-11, 1]) -x = np.linspace(xmin + EPSILON, xmax - EPSILON, 400) -gamma = scipy.special.gamma(x) -fig2, ax2 = plt.subplots(num=2, clear=True, constrained_layout=True, figsize=(5, 2.5)) -for n in ns: - gamma_lag = eval_laguerre_gamma(x, n=n, func="mirror") - rel_err = calc_rel_error(gamma, gamma_lag) - ax2.semilogy(x, np.abs(rel_err), label=f"$n={n}$") -ax2.set_xlim(x[0], x[-1]) -ax2.set_ylim(*(10.0 ** ylim)) -ax2.set_xticks(np.arange(xmin, xmax + EPSILON, 5)) -ax2.set_xticks(np.arange(xmin, xmax), minor=True) -ax2.set_yticks(10.0 ** np.arange(*ylim, 2)) -# locmin = mpl.ticker.LogLocator(base=10.0,subs=0.1*np.arange(1,10),numticks=100) -# ax2.yaxis.set_minor_locator(locmin) -# ax2.yaxis.set_minor_formatter(mpl.ticker.NullFormatter()) -ax2.set_xlabel(r"$z$") -ax2.set_ylabel("Relativer Fehler") -ax2.legend(ncol=1, loc="upper left", fontsize="small") -ax2.grid(1, "both") -fig2.savefig(f"{img_path}/rel_error_mirror.pgf") - - -# Move to target -bests = [] -N = 200 -step = 1 / (N - 1) -a = 11 / 8 -b = 1 / 2 -x = np.linspace(step, 1 - step, N + 1) -gamma = scipy.special.gamma(x)[:, None] -ns = np.arange(2, 13) -for n in ns: - zeros, weights = np.polynomial.laguerre.laggauss(n) - est = np.ceil(b + a * n) - targets = np.arange(max(est - 2, 0), est + 3) - gamma_lag = np.stack( - [ - eval_laguerre_gamma(x, target=target, x=zeros, w=weights, func="shifted") - for target in targets - ], - -1, - ) - rel_error = np.abs(calc_rel_error(gamma, gamma_lag)) - best = np.argmin(rel_error, -1) + targets[0] - bests.append(best) -bests = np.stack(bests, 0) - -fig3, ax3 = plt.subplots(num=3, clear=True, constrained_layout=True, figsize=(5, 3)) -v = ax3.imshow(bests, cmap="inferno", aspect="auto", interpolation="nearest") -plt.colorbar(v, ax=ax3, label=r"$m^*$") -ticks = np.arange(0, N + 1, N // 5) -ax3.set_xlim(0, 1) -ax3.set_xticks(ticks) -ax3.set_xticklabels([f"{v:.2f}" for v in ticks / N]) -ax3.set_xticks(np.arange(0, N + 1, N // 20), minor=True) -ax3.set_yticks(np.arange(len(ns))) -ax3.set_yticklabels(ns) -ax3.set_xlabel(r"$z$") -ax3.set_ylabel(r"$n$") -fig3.savefig(f"{img_path}/targets.pdf") - -targets = np.mean(bests, -1) -intercept, bias = np.polyfit(ns, targets, 1) -fig4, axs4 = plt.subplots( - 2, num=4, sharex=True, clear=True, constrained_layout=True, figsize=(5, 4) -) -xl = np.array([ns[0] - 0.5, ns[-1] + 0.5]) -axs4[0].plot(xl, intercept * xl + bias, label=r"$\hat{m}$") -axs4[0].plot(ns, targets, "x", label=r"$\overline{m}$") -axs4[1].plot(ns, ((intercept * ns + bias) - targets), "-x", label=r"$\hat{m} - \overline{m}$") -axs4[0].set_xlim(*xl) -# axs4[0].set_title("Schätzung von Mittelwert") -# axs4[1].set_title("Fehler") -axs4[-1].set_xlabel(r"$n$") -for ax in axs4: - ax.grid(1) - ax.legend() -fig4.savefig(f"{img_path}/estimate.pgf") - -print(f"Intercept={intercept:.6g}, Bias={bias:.6g}") -predicts = np.ceil(intercept * ns[:, None] + bias - x) -print(f"Error: {int(np.sum(np.abs(bests-predicts)))}") - -# Comparison relative error between methods -N = 200 -step = 1 / (N - 1) -x = np.linspace(step, 1 - step, N + 1) -gamma = scipy.special.gamma(x)[:, None] -n = 8 -targets = np.arange(10, 14) -gamma = scipy.special.gamma(x) -fig5, ax5 = plt.subplots(num=5, clear=True, constrained_layout=True) -for target in targets: - gamma_lag = eval_laguerre_gamma(x, target=target, n=n, func="shifted") - rel_error = np.abs(calc_rel_error(gamma, gamma_lag)) - ax5.semilogy(x, rel_error, label=f"$m={target}$", linewidth=3) -gamma_lgo = eval_laguerre_gamma(x, n=n, func="optimal_shifted") -rel_error = np.abs(calc_rel_error(gamma, gamma_lgo)) -ax5.semilogy(x, rel_error, "m", linestyle="dotted", label="$m^*$", linewidth=3) -ax5.set_xlim(x[0], x[-1]) -ax5.set_ylim(5e-9, 5e-8) -ax5.set_xlabel(r"$z$") -ax5.grid(1, "both") -ax5.legend() -fig5.savefig(f"{img_path}/rel_error_shifted.pgf") - -N = 200 -x = np.linspace(-5+ EPSILON, 5-EPSILON, N) -gamma = scipy.special.gamma(x)[:, None] -n = 8 -gamma = scipy.special.gamma(x) -fig6, ax6 = plt.subplots(num=6, clear=True, constrained_layout=True) -gamma_lgo = eval_laguerre_gamma(x, n=n, func="optimal_shifted") -rel_error = np.abs(calc_rel_error(gamma, gamma_lgo)) -ax6.semilogy(x, rel_error, label="$m^*$", linewidth=3) -ax6.set_xlim(x[0], x[-1]) -ax6.set_ylim(5e-9, 5e-8) -ax6.set_xlabel(r"$z$") -ax6.grid(1, "both") -ax6.legend() -fig6.savefig(f"{img_path}/rel_error_range.pgf") - -N = 2001 -x = np.linspace(-5, 5, N) -gamma = scipy.special.gamma(x) -fig7, ax7 = plt.subplots(num=7, clear=True, constrained_layout=True) -ax7.plot(x, gamma) -ax7.set_xlim(x[0], x[-1]) -ax7.set_ylim(-7.5, 25) -ax7.grid(1, "both") -fig7.savefig(f"{img_path}/gamma.pgf") - -# plt.show() diff --git a/buch/papers/laguerre/scripts/integrand.py b/buch/papers/laguerre/scripts/integrand.py index 0cf43d1..f31f194 100644 --- a/buch/papers/laguerre/scripts/integrand.py +++ b/buch/papers/laguerre/scripts/integrand.py @@ -2,48 +2,32 @@ # -*- coding:utf-8 -*- """Plot for integrand of gamma function with shifting terms.""" -import os -from pathlib import Path - -import matplotlib.pyplot as plt -import numpy as np - -EPSILON = 1e-12 -xlims = np.array([-3, 3]) - -root = str(Path(__file__).parent) -img_path = f"{root}/../images" -os.makedirs(img_path, exist_ok=True) - -t = np.logspace(*xlims, 1001)[:, None] - -z = np.array([-4.5, -2, -1, -0.5, 0.0, 0.5, 1, 2, 4.5]) -r = t ** z - -fig, ax = plt.subplots(num=1, clear=True, constrained_layout=True, figsize=(5, 3)) -ax.semilogx(t, r) -ax.set_xlim(*(10.0 ** xlims)) -ax.set_ylim(1e-3, 40) -ax.set_xlabel(r"$x$") -ax.set_ylabel(r"$x^z$") -ax.grid(1, "both") -labels = [f"$z={zi: 3.1f}$" for zi in np.squeeze(z)] -ax.legend(labels, ncol=2, loc="upper left", fontsize="small") -fig.savefig(f"{img_path}/integrands.pgf") - -z2 = np.array([-1, -0.5, 0.0, 0.5, 1, 2, 3, 4, 4.5]) -e = np.exp(-t) -r2 = t ** z2 * e - -fig2, ax2 = plt.subplots(num=2, clear=True, constrained_layout=True, figsize=(5, 3)) -ax2.semilogx(t, r2) -# ax2.plot(t,np.exp(-t)) -ax2.set_xlim(10 ** (-2), 20) -ax2.set_ylim(1e-3, 10) -ax2.set_xlabel(r"$x$") -ax2.set_ylabel(r"$x^z e^{-x}$") -ax2.grid(1, "both") -labels =[f"$z={zi: 3.1f}$" for zi in np.squeeze(z2)] -ax2.legend(labels, ncol=2, loc="upper left", fontsize="small") -fig2.savefig(f"{img_path}/integrands_exp.pgf") -# plt.show() +if __name__ == "__main__": + import os + from pathlib import Path + + import matplotlib.pyplot as plt + import numpy as np + + EPSILON = 1e-12 + xlims = np.array([-3, 3]) + + root = str(Path(__file__).parent) + img_path = f"{root}/../images" + os.makedirs(img_path, exist_ok=True) + + t = np.logspace(*xlims, 1001)[:, None] + + z = np.array([-4.5, -2, -1, -0.5, 0.0, 0.5, 1, 2, 4.5]) + r = t ** z + + fig, ax = plt.subplots(num=1, clear=True, constrained_layout=True, figsize=(4, 2.4)) + ax.semilogx(t, r) + ax.set_xlim(*(10.0 ** xlims)) + ax.set_ylim(1e-3, 40) + ax.set_xlabel(r"$x$") + # ax.set_ylabel(r"$x^z$") + ax.grid(1, "both") + labels = [f"$z={zi: 3.1f}$" for zi in np.squeeze(z)] + ax.legend(labels, ncol=2, loc="upper left", fontsize="small") + fig.savefig(f"{img_path}/integrand.pgf") diff --git a/buch/papers/laguerre/scripts/integrand_exp.py b/buch/papers/laguerre/scripts/integrand_exp.py new file mode 100644 index 0000000..0e50f43 --- /dev/null +++ b/buch/papers/laguerre/scripts/integrand_exp.py @@ -0,0 +1,36 @@ +#!/usr/bin/env python3 +# -*- coding:utf-8 -*- +"""Plot for integrand of gamma function with shifting terms.""" + +if __name__ == "__main__": + import os + from pathlib import Path + + import matplotlib.pyplot as plt + import numpy as np + + EPSILON = 1e-12 + xlims = np.array([-3, 3]) + + root = str(Path(__file__).parent) + img_path = f"{root}/../images" + os.makedirs(img_path, exist_ok=True) + + t = np.logspace(*xlims, 1001)[:, None] + + z = np.array([-1, -0.5, 0.0, 0.5, 1, 2, 3, 4, 4.5]) + e = np.exp(-t) + r = t ** z * e + + fig, ax = plt.subplots(num=2, clear=True, constrained_layout=True, figsize=(4, 2.4)) + ax.semilogx(t, r) + # ax.plot(t,np.exp(-t)) + ax.set_xlim(10 ** (-2), 20) + ax.set_ylim(1e-3, 10) + ax.set_xlabel(r"$x$") + # ax.set_ylabel(r"$x^z e^{-x}$") + ax.grid(1, "both") + labels = [f"$z={zi: 3.1f}$" for zi in np.squeeze(z)] + ax.legend(labels, ncol=2, loc="upper left", fontsize="small") + fig.savefig(f"{img_path}/integrand_exp.pgf") + # plt.show() diff --git a/buch/papers/laguerre/scripts/laguerre_plot.py b/buch/papers/laguerre/scripts/laguerre_plot.py deleted file mode 100644 index 1be3552..0000000 --- a/buch/papers/laguerre/scripts/laguerre_plot.py +++ /dev/null @@ -1,101 +0,0 @@ -#!/usr/bin/env python3 -# -*- coding:utf-8 -*- -"""Some plots for Laguerre Polynomials.""" - -import os -from pathlib import Path - -import matplotlib.pyplot as plt -import numpy as np -import scipy.special as ss - - -def get_ticks(start, end, step=1): - ticks = np.arange(start, end, step) - return ticks[ticks != 0] - - -N = 1000 -step = 5 -t = np.linspace(-1.05, 10.5, N)[:, None] -root = str(Path(__file__).parent) -img_path = f"{root}/../images" -os.makedirs(img_path, exist_ok=True) - - -# fig = plt.figure(num=1, clear=True, tight_layout=True, figsize=(5.5, 3.7)) -# ax = fig.add_subplot(axes_class=AxesZero) -fig, ax = plt.subplots(num=1, clear=True, constrained_layout=True, figsize=(6, 4)) -for n in np.arange(0, 8): - k = np.arange(0, n + 1)[None] - L = np.sum((-1) ** k * ss.binom(n, k) / ss.factorial(k) * t ** k, -1) - ax.plot(t, L, label=f"$n={n}$") - -ax.set_xticks(get_ticks(int(t[0]), t[-1]), minor=True) -ax.set_xticks(get_ticks(0, t[-1], step)) -ax.set_xlim(t[0], t[-1] + 0.1 * (t[1] - t[0])) -ax.set_xlabel(r"$x$", x=1.0, labelpad=-10, rotation=0, fontsize="large") - -ylim = 13 -ax.set_yticks(np.arange(-ylim, ylim), minor=True) -ax.set_yticks(np.arange(-step * (ylim // step), ylim, step)) -ax.set_ylim(-ylim, ylim) -ax.set_ylabel(r"$y$", y=0.95, labelpad=-18, rotation=0, fontsize="large") - -ax.legend(ncol=2, loc=(0.125, 0.01), fontsize="large") - -# set the x-spine -ax.spines[["left", "bottom"]].set_position("zero") -ax.spines[["right", "top"]].set_visible(False) -ax.xaxis.set_ticks_position("bottom") -hlx = 0.4 -dx = t[-1, 0] - t[0, 0] -dy = 2 * ylim -hly = dy / dx * hlx -dps = fig.dpi_scale_trans.inverted() -bbox = ax.get_window_extent().transformed(dps) -width, height = bbox.width, bbox.height - -# manual arrowhead width and length -hw = 1.0 / 60.0 * dy -hl = 1.0 / 30.0 * dx -lw = 0.5 # axis line width -ohg = 0.0 # arrow overhang - -# compute matching arrowhead length and width -yhw = hw / dy * dx * height / width -yhl = hl / dx * dy * width / height - -# draw x and y axis -ax.arrow( - t[-1, 0] - hl, - 0, - hl, - 0.0, - fc="k", - ec="k", - lw=lw, - head_width=hw, - head_length=hl, - overhang=ohg, - length_includes_head=True, - clip_on=False, -) - -ax.arrow( - 0, - ylim - yhl, - 0.0, - yhl, - fc="k", - ec="k", - lw=lw, - head_width=yhw, - head_length=yhl, - overhang=ohg, - length_includes_head=True, - clip_on=False, -) - -fig.savefig(f"{img_path}/laguerre_polynomes.pgf") -# plt.show() diff --git a/buch/papers/laguerre/scripts/laguerre_poly.py b/buch/papers/laguerre/scripts/laguerre_poly.py new file mode 100644 index 0000000..954a0b1 --- /dev/null +++ b/buch/papers/laguerre/scripts/laguerre_poly.py @@ -0,0 +1,98 @@ +import numpy as np + + +def get_ticks(start, end, step=1): + ticks = np.arange(start, end, step) + return ticks[ticks != 0] + + +if __name__ == "__main__": + import os + from pathlib import Path + + import matplotlib.pyplot as plt + import scipy.special as ss + + N = 1000 + step = 5 + t = np.linspace(-1.05, 10.5, N)[:, None] + root = str(Path(__file__).parent) + img_path = f"{root}/../images" + os.makedirs(img_path, exist_ok=True) + + # fig = plt.figure(num=1, clear=True, tight_layout=True, figsize=(5.5, 3.7)) + # ax = fig.add_subplot(axes_class=AxesZero) + fig, ax = plt.subplots(num=1, clear=True, constrained_layout=True, figsize=(6, 4)) + for n in np.arange(0, 8): + k = np.arange(0, n + 1)[None] + L = np.sum((-1) ** k * ss.binom(n, k) / ss.factorial(k) * t ** k, -1) + ax.plot(t, L, label=f"$n={n}$") + + ax.set_xticks(get_ticks(int(t[0]), t[-1]), minor=True) + ax.set_xticks(get_ticks(0, t[-1], step)) + ax.set_xlim(t[0], t[-1] + 0.1 * (t[1] - t[0])) + ax.set_xlabel(r"$x$", x=1.0, labelpad=-10, rotation=0, fontsize="large") + + ylim = 13 + ax.set_yticks(np.arange(-ylim, ylim), minor=True) + ax.set_yticks(np.arange(-step * (ylim // step), ylim, step)) + ax.set_ylim(-ylim, ylim) + ax.set_ylabel(r"$y$", y=0.95, labelpad=-18, rotation=0, fontsize="large") + + ax.legend(ncol=2, loc=(0.125, 0.01), fontsize="large") + + # set the x-spine + ax.spines[["left", "bottom"]].set_position("zero") + ax.spines[["right", "top"]].set_visible(False) + ax.xaxis.set_ticks_position("bottom") + hlx = 0.4 + dx = t[-1, 0] - t[0, 0] + dy = 2 * ylim + hly = dy / dx * hlx + dps = fig.dpi_scale_trans.inverted() + bbox = ax.get_window_extent().transformed(dps) + width, height = bbox.width, bbox.height + + # manual arrowhead width and length + hw = 1.0 / 60.0 * dy + hl = 1.0 / 30.0 * dx + lw = 0.5 # axis line width + ohg = 0.0 # arrow overhang + + # compute matching arrowhead length and width + yhw = hw / dy * dx * height / width + yhl = hl / dx * dy * width / height + + # draw x and y axis + ax.arrow( + t[-1, 0] - hl, + 0, + hl, + 0.0, + fc="k", + ec="k", + lw=lw, + head_width=hw, + head_length=hl, + overhang=ohg, + length_includes_head=True, + clip_on=False, + ) + + ax.arrow( + 0, + ylim - yhl, + 0.0, + yhl, + fc="k", + ec="k", + lw=lw, + head_width=yhw, + head_length=yhl, + overhang=ohg, + length_includes_head=True, + clip_on=False, + ) + + fig.savefig(f"{img_path}/laguerre_poly.pgf") + # plt.show() diff --git a/buch/papers/laguerre/scripts/rel_error_mirror.py b/buch/papers/laguerre/scripts/rel_error_mirror.py new file mode 100644 index 0000000..05e68e4 --- /dev/null +++ b/buch/papers/laguerre/scripts/rel_error_mirror.py @@ -0,0 +1,28 @@ +if __name__ == "__main__": + import matplotlib.pyplot as plt + import numpy as np + import scipy.special + + import gamma_approx as ga + + xmin = -15 + xmax = 15 + ns = np.arange(2, 12, 2) + ylim = np.array([-11, 1]) + x = np.linspace(xmin + ga.EPSILON, xmax - ga.EPSILON, 400) + gamma = scipy.special.gamma(x) + fig, ax = plt.subplots(num=1, clear=True, constrained_layout=True, figsize=(5, 2.5)) + for n in ns: + gamma_lag = ga.eval_laguerre_gamma(x, n=n, func="mirror") + rel_err = ga.calc_rel_error(gamma, gamma_lag) + ax.semilogy(x, np.abs(rel_err), label=f"$n={n}$") + ax.set_xlim(x[0], x[-1]) + ax.set_ylim(*(10.0 ** ylim)) + ax.set_xticks(np.arange(xmin, xmax + ga.EPSILON, 5)) + ax.set_xticks(np.arange(xmin, xmax), minor=True) + ax.set_yticks(10.0 ** np.arange(*ylim, 2)) + ax.set_xlabel(r"$z$") + # ax.set_ylabel("Relativer Fehler") + ax.legend(ncol=1, loc="upper left", fontsize=ga.fontsize) + ax.grid(1, "both") + fig.savefig(f"{ga.img_path}/rel_error_mirror.pgf") diff --git a/buch/papers/laguerre/scripts/rel_error_range.py b/buch/papers/laguerre/scripts/rel_error_range.py new file mode 100644 index 0000000..7d017a7 --- /dev/null +++ b/buch/papers/laguerre/scripts/rel_error_range.py @@ -0,0 +1,32 @@ +if __name__ == "__main__": + import matplotlib.pyplot as plt + import numpy as np + import scipy.special + + import gamma_approx as ga + + N = 1000 + xmin = -5 + xmax = 5 + ns = np.arange(2, 12, 2) + ylim = np.array([-11, -1.2]) + + x = np.linspace(xmin + ga.EPSILON, xmax - ga.EPSILON, N) + gamma = scipy.special.gamma(x) + fig, ax = plt.subplots(num=1, clear=True, constrained_layout=True, figsize=(5, 2.5)) + for n in ns: + gamma_lag = ga.eval_laguerre_gamma(x, n=n, func="optimal_shifted") + rel_err = ga.calc_rel_error(gamma, gamma_lag) + ax.semilogy(x, np.abs(rel_err), label=f"$n={n}$") + ax.set_xlim(x[0], x[-1]) + ax.set_ylim(*(10.0 ** ylim)) + ax.set_xticks(np.arange(xmin + 1, xmax, 2)) + ax.set_xticks(np.arange(xmin, xmax), minor=True) + ax.set_yticks(10.0 ** np.arange(*ylim, 2)) + ax.set_yticks(10.0 ** np.arange(*ylim, 1), minor=True) + ax.set_xlabel(r"$z$") + # ax.set_ylabel("Relativer Fehler") + ax.legend(ncol=1, loc="upper left", fontsize=ga.fontsize) + ax.grid(1, "both") + fig.savefig(f"{ga.img_path}/rel_error_range.pgf") + # plt.show() diff --git a/buch/papers/laguerre/scripts/rel_error_shifted.py b/buch/papers/laguerre/scripts/rel_error_shifted.py new file mode 100644 index 0000000..1515c6e --- /dev/null +++ b/buch/papers/laguerre/scripts/rel_error_shifted.py @@ -0,0 +1,31 @@ +if __name__ == "__main__": + import matplotlib.pyplot as plt + import numpy as np + import scipy.special + + import gamma_approx as ga + + n = 8 # order of Laguerre polynomial + N = 200 # number of points in interval + + step = 1 / (N - 1) + x = np.linspace(step, 1 - step, N + 1) + targets = np.arange(10, 14) + gamma = scipy.special.gamma(x) + fig, ax = plt.subplots(num=1, clear=True, constrained_layout=True, figsize=(5, 2.5)) + for target in targets: + gamma_lag = ga.eval_laguerre_gamma(x, target=target, n=n, func="shifted") + rel_error = np.abs(ga.calc_rel_error(gamma, gamma_lag)) + ax.semilogy(x, rel_error, label=f"$m={target}$", linewidth=3) + gamma_lgo = ga.eval_laguerre_gamma(x, n=n, func="optimal_shifted") + rel_error = np.abs(ga.calc_rel_error(gamma, gamma_lgo)) + ax.semilogy(x, rel_error, "m", linestyle="dotted", label="$m^*$", linewidth=3) + ax.set_xlim(x[0], x[-1]) + ax.set_ylim(5e-9, 5e-8) + ax.set_xlabel(r"$z$") + ax.set_xticks(np.linspace(0, 1, 6)) + ax.set_xticks(np.linspace(0, 1, 11), minor=True) + ax.grid(1, "both") + ax.legend(ncol=1, fontsize=ga.fontsize) + fig.savefig(f"{ga.img_path}/rel_error_shifted.pgf") + # plt.show() diff --git a/buch/papers/laguerre/scripts/rel_error_simple.py b/buch/papers/laguerre/scripts/rel_error_simple.py new file mode 100644 index 0000000..0929976 --- /dev/null +++ b/buch/papers/laguerre/scripts/rel_error_simple.py @@ -0,0 +1,29 @@ +if __name__ == "__main__": + import matplotlib.pyplot as plt + import numpy as np + import scipy.special + + import gamma_approx as ga + + # Simple / naive + xmin = -5 + xmax = 30 + ns = np.arange(2, 12, 2) + ylim = np.array([-11, 6]) + x = np.linspace(xmin + ga.EPSILON, xmax - ga.EPSILON, 400) + gamma = scipy.special.gamma(x) + fig, ax = plt.subplots(num=1, clear=True, constrained_layout=True, figsize=(5, 2.5)) + for n in ns: + gamma_lag = ga.eval_laguerre_gamma(x, n=n) + rel_err = ga.calc_rel_error(gamma, gamma_lag) + ax.semilogy(x, np.abs(rel_err), label=f"$n={n}$") + ax.set_xlim(x[0], x[-1]) + ax.set_ylim(*(10.0 ** ylim)) + ax.set_xticks(np.arange(xmin, xmax + ga.EPSILON, 5)) + ax.set_xticks(np.arange(xmin, xmax), minor=True) + ax.set_yticks(10.0 ** np.arange(*ylim, 2)) + ax.set_xlabel(r"$z$") + # ax.set_ylabel("Relativer Fehler") + ax.legend(ncol=3, fontsize=ga.fontsize) + ax.grid(1, "both") + fig.savefig(f"{ga.img_path}/rel_error_simple.pgf") diff --git a/buch/papers/laguerre/scripts/targets.py b/buch/papers/laguerre/scripts/targets.py new file mode 100644 index 0000000..73d6e03 --- /dev/null +++ b/buch/papers/laguerre/scripts/targets.py @@ -0,0 +1,48 @@ +import numpy as np +import scipy.special + +import gamma_approx as ga + + +def find_best_loc(N=200, a=1.375, b=0.5, ns=None): + if ns is None: + ns = np.arange(2, 13) + bests = [] + step = 1 / (N - 1) + x = np.linspace(step, 1 - step, N + 1) + gamma = scipy.special.gamma(x)[:, None] + for n in ns: + zeros, weights = np.polynomial.laguerre.laggauss(n) + est = np.ceil(b + a * n) + targets = np.arange(max(est - 2, 0), est + 3) + glag = [ + ga.eval_laguerre_gamma(x, target=target, x=zeros, w=weights, func="shifted") + for target in targets + ] + gamma_lag = np.stack(glag, -1) + rel_error = np.abs(ga.calc_rel_error(gamma, gamma_lag)) + best = np.argmin(rel_error, -1) + targets[0] + bests.append(best) + return np.stack(bests, 0) + + +if __name__ == "__main__": + import matplotlib.pyplot as plt + N = 200 + ns = np.arange(2, 13) + + bests = find_best_loc(N, ns=ns) + + fig, ax = plt.subplots(num=1, clear=True, constrained_layout=True, figsize=(4, 2.4)) + v = ax.imshow(bests, cmap="inferno", aspect="auto", interpolation="nearest") + plt.colorbar(v, ax=ax, label=r"$m^*$") + ticks = np.arange(0, N + 1, N // 5) + ax.set_xlim(0, 1) + ax.set_xticks(ticks) + ax.set_xticklabels([f"{v:.2f}" for v in ticks / N]) + ax.set_xticks(np.arange(0, N + 1, N // 20), minor=True) + ax.set_yticks(np.arange(len(ns))) + ax.set_yticklabels(ns) + ax.set_xlabel(r"$z$") + ax.set_ylabel(r"$n$") + fig.savefig(f"{ga.img_path}/targets.pgf") -- cgit v1.2.1 From 3cb2fa354f814fa98474610dac744281285dafc6 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Patrik=20M=C3=BCller?= Date: Fri, 15 Jul 2022 11:40:55 +0200 Subject: First version of section 'Gauss Quadratur', fix to gamma_approx.py when z=0 --- buch/papers/laguerre/quadratur.tex | 148 ++++++++++++++++++++---- buch/papers/laguerre/references.bib | 11 ++ buch/papers/laguerre/scripts/gamma_approx.py | 18 ++- buch/papers/laguerre/scripts/rel_error_range.py | 2 +- 4 files changed, 151 insertions(+), 28 deletions(-) (limited to 'buch/papers') diff --git a/buch/papers/laguerre/quadratur.tex b/buch/papers/laguerre/quadratur.tex index 851fe8a..7cbae48 100644 --- a/buch/papers/laguerre/quadratur.tex +++ b/buch/papers/laguerre/quadratur.tex @@ -5,25 +5,57 @@ % \section{Gauss-Quadratur \label{laguerre:section:quadratur}} - {\large \color{red} TODO: Einleitung und kurze Beschreibung Gauss-Quadratur} - -Siehe Abschnitt~\ref{buch:orthogonalitaet:section:gauss-quadratur} +Die Gauss-Quadratur ist ein numerisches Integrationsverfahren, +welches die Eigenschaften von orthogonalen Polynomen ausnützt. +Herleitungen und Analysen der Gauss-Quadratur können im +Abschnitt~\ref{buch:orthogonalitaet:section:gauss-quadratur} gefunden werden. +Als grundlegende Idee wird die Beobachtung, +dass viele Funktionen sich gut mit Polynomen approximieren lassen, +verwendet. +Stellt man also sicher, +dass ein Verfahren gut für Polynome gut funktioniert, +sollte es auch für andere Funktionen nicht schlecht funktionieren. +Es wird ein Polynom verwendet, +welches an den Punkten $x_0 < x_1 < \ldots < x_n$ +die Funktionwerte~$f(x_i)$ annimmt. +Als Resultat kann das Integral via eine gewichtete Summe der Form \begin{align} \int_a^b f(x) w(x) \, dx \approx \sum_{i=1}^n f(x_i) A_i \label{laguerre:gaussquadratur} \end{align} +berechnet werden. +Die Gauss-Quadratur ist exakt für Polynome mit Grad $2n -1$, +wenn ein Interpolationspolynom von Grad $n$ gewählt wurde. \subsection{Gauss-Laguerre-Quadratur \label{laguerre:subsection:gausslag-quadratur}} -Die Gauss-Quadratur kann auch auf Skalarprodukte mit Gewichtsfunktionen -ausgeweitet werden. -In unserem Falle möchten wir die Gauss Quadratur auf die Laguerre-Polynome -$L_n$ ausweiten. -Diese sind orthogonal im Intervall $(0, \infty)$ bezüglich -der Gewichtsfunktion $e^{-x}$. -Gleichung~\eqref{laguerre:laguerrequadratur} lässt sich wie folgt umformulieren: +Wir möchten nun die Gauss-Quadratur auf die Berechnung +von uneigentlichen Integralen erweitern, +spezifisch auf das Interval $(0, \infty)$. +Mit dem vorher beschriebenen Verfahren ist dies nicht direkt möglich. +Mit einer Transformation die das unendliche Intervall $(a, \infty)$ mit +\begin{align*} +x += +a + \frac{1 - t}{t} +\end{align*} +auf das Intervall $[0, 1]$ transformiert. +Für unser Fall gilt $a = 0$. +Das Integral eines Polynomes in diesem Intervall ist immer divergent, +darum müssen wir sie mit einer Funktion multiplizieren, +die schneller als jedes Polynom gegen $0$ geht, +damit das Integral immer noch konvergiert. +Die Laguerre-Polynome $L_n$ bieten hier Abhilfe, +da ihre Gewichtsfunktion $e^{-x}$ schneller +gegen $0$ konvergiert als jedes Polynom. +% In unserem Falle möchten wir die Gauss Quadratur auf die Laguerre-Polynome +% $L_n$ ausweiten. +% Diese sind orthogonal im Intervall $(0, \infty)$ bezüglich +% der Gewichtsfunktion $e^{-x}$. +Gleichung~\eqref{laguerre:gaussquadratur} lässt sich wie folgt +umformulieren: \begin{align} \int_{0}^{\infty} f(x) e^{-x} dx \approx @@ -43,20 +75,93 @@ l_i(x_j) \delta_{ij} = \begin{cases} -1 & i=j \\ -0 & \text{sonst.} +1 & i=j \\ +0 & \text{.} \end{cases} +% . \end{align*} -Laut \cite{abramowitz+stegun} sind die Gewichte -\begin{align} +die Lagrangschen Interpolationspolynome. +Laut \cite{hildebrand2013introduction} können die Gewicht mit +\begin{align*} A_i + & = +-\frac{C_{n+1} \gamma_n}{C_n \phi'_n(x_i) \phi_{n+1} (x_i)} +\end{align*} +berechnet werden. +$C_i$ entspricht dabei dem Koeffizienten von $x^i$ +des orthogonalen Polynoms $\phi_n(x)$, $\forall i =0,\ldots,n$ und +\begin{align*} +\gamma_n += +\int_0^\infty w(x) \phi_n^2(x)\,dx +\end{align*} +dem Normalisierungsfaktor. +Wir setzen nun $\phi_n(x) = L_n(x)$ und +nutzen den Vorzeichenwechsel der Laguerrekoeffizienten aus, +damit erhalten wir +\begin{align*} +A_i + & = +-\frac{C_{n+1} \gamma_n}{C_n L'_n(x_i) L_{n+1} (x_i)} +\\ + & = \frac{C_n}{C_{n-1}} \frac{\gamma_{n-1}}{L_{n-1}(x_i) L'_n(x_i)} +. +\end{align*} +Für Laguerre-Polynome gilt +\begin{align*} +\frac{C_n}{C_{n-1}} += +-\frac{1}{n} +\quad \text{und} \quad +\gamma_n = -\frac{x_i}{(n + 1)^2 \left[ L_{n + 1}(x_i)\right]^2} +1 +. +\end{align*} +Daraus folgt +\begin{align} +A_i +&= +- \frac{1}{n L_{n-1}(x_i) L'_n(x_i)} +. +\label{laguerre:gewichte_lag_temp} +\end{align} +Nun kann die Rekursionseigenschaft der Laguerre-Polynome +\begin{align*} +x L'_n(x) +&= +n L_n(x) - n L_{n-1}(x) +\\ +&= (x - n - 1) L_n(x) + (n + 1) L_{n+1}(x) +\end{align*} +umgeformt werden und da $x_i$ die Nullstellen von $L_n(x)$ sind, +folgt +\begin{align*} +x_i L'_n(x_i) +&= +- n L_{n-1}(x_i) +\\ +&= + (n + 1) L_{n+1}(x_i) +. +\end{align*} +Setzen wir das nun in \eqref{laguerre:gewichte_lag_temp} ein ergibt sicht +\begin{align} +\nonumber +A_i +&= +\frac{1}{x_i \left[ L'_n(x_i) \right]^2} +\\ +&= +\frac{x_i}{(n+1)^2 \left[ L_{n+1}(x_i) \right]^2} . \label{laguerre:quadratur_gewichte} \end{align} \subsubsection{Fehlerterm} +Die Gauss-Laguerre-Quadratur mit $n$ Stützstellen berechnet Integrale +von Polynomen bis zum Grad $2n - 1$ exakt. +Für beliebige Funktionen kann eine Fehlerabschätzung angegeben werden. Der Fehlerterm $R_n$ folgt direkt aus der Approximation \begin{align*} \int_0^{\infty} f(x) e^{-x} \, dx @@ -66,16 +171,15 @@ Der Fehlerterm $R_n$ folgt direkt aus der Approximation und \cite{abramowitz+stegun} gibt ihn als \begin{align} R_n -= + & = +\frac{f^{(2n)}(\xi)}{(2n)!} \int_0^\infty l(x)^2 e^{-x}\,dx +\\ + & = \frac{(n!)^2}{(2n)!} f^{(2n)}(\xi) ,\quad 0 < \xi < \infty \label{laguerre:lag_error} \end{align} an. - -{ -\large \color{red} -TODO: -Noch mehr Text / bessere Beschreibungen in allen Abschnitten -} +Der Fehler ist also abhängig von der $2n$-ten Ableitung +der zu integrierenden Funktion. diff --git a/buch/papers/laguerre/references.bib b/buch/papers/laguerre/references.bib index e12e218..2371922 100644 --- a/buch/papers/laguerre/references.bib +++ b/buch/papers/laguerre/references.bib @@ -4,6 +4,17 @@ % (c) 2020 Autor, Hochschule Rapperswil % +@book{hildebrand2013introduction, + title={Introduction to Numerical Analysis: Second Edition}, + author={Hildebrand, F.B.}, + isbn={9780486318554}, + series={Dover Books on Mathematics}, + url={https://books.google.ch/books?id=ic2jAQAAQBAJ}, + year={2013}, + publisher={Dover Publications}, + pages = {389} +} + @book{abramowitz+stegun, added-at = {2008-06-25T06:25:58.000+0200}, address = {New York}, diff --git a/buch/papers/laguerre/scripts/gamma_approx.py b/buch/papers/laguerre/scripts/gamma_approx.py index 208f770..9f9dae7 100644 --- a/buch/papers/laguerre/scripts/gamma_approx.py +++ b/buch/papers/laguerre/scripts/gamma_approx.py @@ -1,7 +1,5 @@ from pathlib import Path -import matplotlib as mpl -import matplotlib.pyplot as plt import numpy as np import scipy.special @@ -58,6 +56,8 @@ def laguerre_gamma_shifted(z, x=None, w=None, n=8, target=11): def laguerre_gamma_opt_shifted(z, x=None, w=None, n=8): + if z == 0.0: + return np.infty x, w = _prep_zeros_and_weights(x, w, n) n = len(x) @@ -73,6 +73,8 @@ def laguerre_gamma_opt_shifted(z, x=None, w=None, n=8): def laguerre_gamma_simple(z, x=None, w=None, n=8): + if z == 0.0: + return np.infty x, w = _prep_zeros_and_weights(x, w, n) z += 0j res = np.sum(x ** (z - 1) * w) @@ -81,6 +83,8 @@ def laguerre_gamma_simple(z, x=None, w=None, n=8): def laguerre_gamma_mirror(z, x=None, w=None, n=8): + if z == 0.0: + return np.infty x, w = _prep_zeros_and_weights(x, w, n) z += 0j if z.real < 1e-3: @@ -90,8 +94,8 @@ def laguerre_gamma_mirror(z, x=None, w=None, n=8): return laguerre_gamma_simple(z, x, w) -def eval_laguerre_gamma(z, x=None, w=None, n=8, func="simple", **kwargs): - x, w = _prep_zeros_and_weights(x, w, n) +def eval_laguerre_gamma(z, x=None, w=None, n=8, func="simple", **kwargs): + x, w = _prep_zeros_and_weights(x, w, n) if func == "simple": f = laguerre_gamma_simple elif func == "mirror": @@ -104,4 +108,8 @@ def eval_laguerre_gamma(z, x=None, w=None, n=8, func="simple", **kwargs): def calc_rel_error(x, y): - return (y - x) / x + mask = np.abs(x) != np.infty + rel_error = np.zeros_like(y) + rel_error[mask] = (y[mask] - x[mask]) / x[mask] + rel_error[~mask] = 0.0 + return rel_error diff --git a/buch/papers/laguerre/scripts/rel_error_range.py b/buch/papers/laguerre/scripts/rel_error_range.py index 7d017a7..7c74d76 100644 --- a/buch/papers/laguerre/scripts/rel_error_range.py +++ b/buch/papers/laguerre/scripts/rel_error_range.py @@ -5,7 +5,7 @@ if __name__ == "__main__": import gamma_approx as ga - N = 1000 + N = 1001 xmin = -5 xmax = 5 ns = np.arange(2, 12, 2) -- cgit v1.2.1 From 7a8795dcb555a551fd09a3c9b15002675e30891f Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Patrik=20M=C3=BCller?= Date: Fri, 15 Jul 2022 16:24:48 +0200 Subject: Change image scripts to PDF format, update Makefile, add complex plane plot --- buch/papers/laguerre/Makefile | 17 +- buch/papers/laguerre/images/estimates.pdf | Bin 0 -> 13780 bytes buch/papers/laguerre/images/estimates.pgf | 1700 ----------- buch/papers/laguerre/images/gammaplot.pdf | Bin 23297 -> 23297 bytes buch/papers/laguerre/images/integrand.pdf | Bin 0 -> 16109 bytes buch/papers/laguerre/images/integrand.pgf | 2670 ----------------- buch/papers/laguerre/images/integrand_exp.pdf | Bin 0 -> 16951 bytes buch/papers/laguerre/images/integrand_exp.pgf | 1916 ------------ buch/papers/laguerre/images/laguerre_poly.pdf | Bin 0 -> 19815 bytes buch/papers/laguerre/images/laguerre_poly.pgf | 1838 ------------ buch/papers/laguerre/images/rel_error_complex.pdf | Bin 0 -> 198151 bytes buch/papers/laguerre/images/rel_error_mirror.pdf | Bin 0 -> 26866 bytes buch/papers/laguerre/images/rel_error_mirror.pgf | 3051 -------------------- buch/papers/laguerre/images/rel_error_range.pdf | Bin 0 -> 25704 bytes buch/papers/laguerre/images/rel_error_range.pgf | 2730 ------------------ buch/papers/laguerre/images/rel_error_shifted.pdf | Bin 0 -> 16231 bytes buch/papers/laguerre/images/rel_error_shifted.pgf | 1433 --------- buch/papers/laguerre/images/rel_error_simple.pdf | Bin 0 -> 23353 bytes buch/papers/laguerre/images/rel_error_simple.pgf | 2934 ------------------- buch/papers/laguerre/images/targets-img0.png | Bin 836 -> 0 bytes buch/papers/laguerre/images/targets-img1.png | Bin 429 -> 0 bytes buch/papers/laguerre/images/targets.pdf | Bin 12530 -> 14757 bytes buch/papers/laguerre/images/targets.pgf | 1024 ------- buch/papers/laguerre/presentation/presentation.pdf | Bin 0 -> 394774 bytes buch/papers/laguerre/scripts/estimates.py | 12 +- buch/papers/laguerre/scripts/integrand.py | 11 +- buch/papers/laguerre/scripts/integrand_exp.py | 12 +- buch/papers/laguerre/scripts/laguerre_poly.py | 16 +- buch/papers/laguerre/scripts/rel_error_complex.py | 43 + buch/papers/laguerre/scripts/rel_error_mirror.py | 12 +- buch/papers/laguerre/scripts/rel_error_range.py | 25 +- buch/papers/laguerre/scripts/rel_error_shifted.py | 13 +- buch/papers/laguerre/scripts/rel_error_simple.py | 14 +- buch/papers/laguerre/scripts/targets.py | 26 +- 34 files changed, 167 insertions(+), 19330 deletions(-) create mode 100644 buch/papers/laguerre/images/estimates.pdf delete mode 100644 buch/papers/laguerre/images/estimates.pgf create mode 100644 buch/papers/laguerre/images/integrand.pdf delete mode 100644 buch/papers/laguerre/images/integrand.pgf create mode 100644 buch/papers/laguerre/images/integrand_exp.pdf delete mode 100644 buch/papers/laguerre/images/integrand_exp.pgf create mode 100644 buch/papers/laguerre/images/laguerre_poly.pdf delete mode 100644 buch/papers/laguerre/images/laguerre_poly.pgf create mode 100644 buch/papers/laguerre/images/rel_error_complex.pdf create mode 100644 buch/papers/laguerre/images/rel_error_mirror.pdf delete mode 100644 buch/papers/laguerre/images/rel_error_mirror.pgf create mode 100644 buch/papers/laguerre/images/rel_error_range.pdf delete mode 100644 buch/papers/laguerre/images/rel_error_range.pgf create mode 100644 buch/papers/laguerre/images/rel_error_shifted.pdf delete mode 100644 buch/papers/laguerre/images/rel_error_shifted.pgf create mode 100644 buch/papers/laguerre/images/rel_error_simple.pdf delete mode 100644 buch/papers/laguerre/images/rel_error_simple.pgf delete mode 100644 buch/papers/laguerre/images/targets-img0.png delete mode 100644 buch/papers/laguerre/images/targets-img1.png delete mode 100644 buch/papers/laguerre/images/targets.pgf create mode 100644 buch/papers/laguerre/presentation/presentation.pdf create mode 100644 buch/papers/laguerre/scripts/rel_error_complex.py (limited to 'buch/papers') diff --git a/buch/papers/laguerre/Makefile b/buch/papers/laguerre/Makefile index 1ed87cc..48f8066 100644 --- a/buch/papers/laguerre/Makefile +++ b/buch/papers/laguerre/Makefile @@ -8,14 +8,15 @@ PRESFOLDER := presentation FIGURES := \ images/targets.pdf \ - images/estimates.pgf \ - images/integrand.pgf \ - images/integrand_exp.pgf \ - images/laguerre_poly.pgf \ - images/rel_error_mirror.pgf \ - images/rel_error_range.pgf \ - images/rel_error_shifted.pgf \ - images/rel_error_simple.pgf \ + images/rel_error_complex.pdf \ + images/estimates.pdf \ + images/integrand.pdf \ + images/integrand_exp.pdf \ + images/laguerre_poly.pdf \ + images/rel_error_mirror.pdf \ + images/rel_error_range.pdf \ + images/rel_error_shifted.pdf \ + images/rel_error_simple.pdf \ images/gammaplot.pdf .PHONY: all diff --git a/buch/papers/laguerre/images/estimates.pdf b/buch/papers/laguerre/images/estimates.pdf new file mode 100644 index 0000000..c93a4f0 Binary files /dev/null and b/buch/papers/laguerre/images/estimates.pdf differ diff --git a/buch/papers/laguerre/images/estimates.pgf b/buch/papers/laguerre/images/estimates.pgf deleted file mode 100644 index b82fa5d..0000000 --- a/buch/papers/laguerre/images/estimates.pgf +++ /dev/null @@ -1,1700 +0,0 @@ -%% Creator: Matplotlib, PGF backend -%% -%% To include the figure in your LaTeX document, write -%% \input{.pgf} -%% -%% Make sure the required packages are loaded in your preamble -%% \usepackage{pgf} -%% -%% Also ensure that all the required font packages are loaded; for instance, -%% the lmodern package is sometimes necessary when using math font. -%% \usepackage{lmodern} -%% -%% Figures using additional raster images can only be included by \input if -%% they are in the same directory as the main LaTeX file. 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document, write -%% \input{.pgf} -%% -%% Make sure the required packages are loaded in your preamble -%% \usepackage{pgf} -%% -%% Also ensure that all the required font packages are loaded; for instance, -%% the lmodern package is sometimes necessary when using math font. -%% \usepackage{lmodern} -%% -%% Figures using additional raster images can only be included by \input if -%% they are in the same directory as the main LaTeX file. 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-1,1838 +0,0 @@ -%% Creator: Matplotlib, PGF backend -%% -%% To include the figure in your LaTeX document, write -%% \input{.pgf} -%% -%% Make sure the required packages are loaded in your preamble -%% \usepackage{pgf} -%% -%% Also ensure that all the required font packages are loaded; for instance, -%% the lmodern package is sometimes necessary when using math font. -%% \usepackage{lmodern} -%% -%% Figures using additional raster images can only be included by \input if -%% they are in the same directory as the main LaTeX file. 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a/buch/papers/laguerre/images/rel_error_mirror.pgf b/buch/papers/laguerre/images/rel_error_mirror.pgf deleted file mode 100644 index 45d502e..0000000 --- a/buch/papers/laguerre/images/rel_error_mirror.pgf +++ /dev/null @@ -1,3051 +0,0 @@ -%% Creator: Matplotlib, PGF backend -%% -%% To include the figure in your LaTeX document, write -%% \input{.pgf} -%% -%% Make sure the required packages are loaded in your preamble -%% \usepackage{pgf} -%% -%% Also ensure that all the required font packages are loaded; for instance, -%% the lmodern package is sometimes necessary when using math font. -%% \usepackage{lmodern} -%% -%% Figures using additional raster images can only be included by \input if -%% they are in the same directory as the main LaTeX file. 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-\begin{pgfscope}% -\pgfsys@transformshift{0.482257in}{0.870428in}% -\pgfsys@useobject{currentmarker}{}% -\end{pgfscope}% -\end{pgfscope}% -\begin{pgfscope}% -\definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% -\pgfsetstrokecolor{textcolor}% -\pgfsetfillcolor{textcolor}% -\pgftext[x=0.097033in, y=0.817666in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-9}}\)}% -\end{pgfscope}% -\begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.476072in}{1.995057in}}% -\pgfusepath{clip}% -\pgfsetrectcap% -\pgfsetroundjoin% -\pgfsetlinewidth{0.803000pt}% -\definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% -\pgfsetstrokecolor{currentstroke}% -\pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.482257in}{1.277582in}}% -\pgfpathlineto{\pgfqpoint{4.958330in}{1.277582in}}% -\pgfusepath{stroke}% -\end{pgfscope}% -\begin{pgfscope}% -\pgfsetbuttcap% -\pgfsetroundjoin% 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-\begin{pgfscope}% -\pgfsys@transformshift{0.482257in}{1.684737in}% -\pgfsys@useobject{currentmarker}{}% -\end{pgfscope}% -\end{pgfscope}% -\begin{pgfscope}% -\definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% -\pgfsetstrokecolor{textcolor}% -\pgfsetfillcolor{textcolor}% -\pgftext[x=0.097033in, y=1.631975in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-5}}\)}% -\end{pgfscope}% -\begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.476072in}{1.995057in}}% -\pgfusepath{clip}% -\pgfsetrectcap% -\pgfsetroundjoin% -\pgfsetlinewidth{0.803000pt}% -\definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% -\pgfsetstrokecolor{currentstroke}% -\pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.482257in}{2.091891in}}% -\pgfpathlineto{\pgfqpoint{4.958330in}{2.091891in}}% -\pgfusepath{stroke}% -\end{pgfscope}% -\begin{pgfscope}% -\pgfsetbuttcap% -\pgfsetroundjoin% 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-\begin{pgfscope}% -\pgfsys@transformshift{0.482257in}{0.666851in}% -\pgfsys@useobject{currentmarker}{}% -\end{pgfscope}% -\end{pgfscope}% -\begin{pgfscope}% -\definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% -\pgfsetstrokecolor{textcolor}% -\pgfsetfillcolor{textcolor}% -\pgftext[x=0.063892in, y=0.614089in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-10}}\)}% -\end{pgfscope}% -\begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.476072in}{1.995057in}}% -\pgfusepath{clip}% -\pgfsetrectcap% -\pgfsetroundjoin% -\pgfsetlinewidth{0.803000pt}% -\definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% -\pgfsetstrokecolor{currentstroke}% -\pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.482257in}{1.074005in}}% -\pgfpathlineto{\pgfqpoint{4.958330in}{1.074005in}}% -\pgfusepath{stroke}% -\end{pgfscope}% -\begin{pgfscope}% -\pgfsetbuttcap% -\pgfsetroundjoin% 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-\begin{pgfscope}% -\pgfsys@transformshift{0.482257in}{1.481159in}% -\pgfsys@useobject{currentmarker}{}% -\end{pgfscope}% -\end{pgfscope}% -\begin{pgfscope}% -\definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}% -\pgfsetstrokecolor{textcolor}% -\pgfsetfillcolor{textcolor}% -\pgftext[x=0.119255in, y=1.428398in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont \(\displaystyle {10^{-6}}\)}% -\end{pgfscope}% -\begin{pgfscope}% -\pgfpathrectangle{\pgfqpoint{0.482257in}{0.463273in}}{\pgfqpoint{4.476072in}{1.995057in}}% -\pgfusepath{clip}% -\pgfsetrectcap% -\pgfsetroundjoin% -\pgfsetlinewidth{0.803000pt}% -\definecolor{currentstroke}{rgb}{0.690196,0.690196,0.690196}% -\pgfsetstrokecolor{currentstroke}% -\pgfsetdash{}{0pt}% -\pgfpathmoveto{\pgfqpoint{0.482257in}{1.888314in}}% -\pgfpathlineto{\pgfqpoint{4.958330in}{1.888314in}}% -\pgfusepath{stroke}% -\end{pgfscope}% -\begin{pgfscope}% -\pgfsetbuttcap% -\pgfsetroundjoin% 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and b/buch/papers/laguerre/images/rel_error_simple.pdf differ diff --git a/buch/papers/laguerre/images/rel_error_simple.pgf b/buch/papers/laguerre/images/rel_error_simple.pgf deleted file mode 100644 index 2439d65..0000000 --- a/buch/papers/laguerre/images/rel_error_simple.pgf +++ /dev/null @@ -1,2934 +0,0 @@ -%% Creator: Matplotlib, PGF backend -%% -%% To include the figure in your LaTeX document, write -%% \input{.pgf} -%% -%% Make sure the required packages are loaded in your preamble -%% \usepackage{pgf} -%% -%% Also ensure that all the required font packages are loaded; for instance, -%% the lmodern package is sometimes necessary when using math font. -%% \usepackage{lmodern} -%% -%% Figures using additional raster images can only be included by \input if -%% they are in the same directory as the main LaTeX file. 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index c050efa..e1ec07c 100644 Binary files a/buch/papers/laguerre/images/targets.pdf and b/buch/papers/laguerre/images/targets.pdf differ diff --git a/buch/papers/laguerre/images/targets.pgf b/buch/papers/laguerre/images/targets.pgf deleted file mode 100644 index f5602fd..0000000 --- a/buch/papers/laguerre/images/targets.pgf +++ /dev/null @@ -1,1024 +0,0 @@ -%% Creator: Matplotlib, PGF backend -%% -%% To include the figure in your LaTeX document, write -%% \input{.pgf} -%% -%% Make sure the required packages are loaded in your preamble -%% \usepackage{pgf} -%% -%% Also ensure that all the required font packages are loaded; for instance, -%% the lmodern package is sometimes necessary when using math font. -%% \usepackage{lmodern} -%% -%% Figures using additional raster images can only be included by \input if -%% they are in the same directory as the main LaTeX file. For loading figures -%% from other directories you can use the `import` package -%% \usepackage{import} -%% -%% and then include the figures with -%% \import{}{.pgf} -%% -%% Matplotlib used the following preamble -%% \usepackage{fontspec} -%% \setmainfont{DejaVuSerif.ttf}[Path=\detokenize{/home/mup/.local/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}] -%% \setsansfont{DejaVuSans.ttf}[Path=\detokenize{/home/mup/.local/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}] -%% \setmonofont{DejaVuSansMono.ttf}[Path=\detokenize{/home/mup/.local/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}] -%% -\begingroup% -\makeatletter% -\begin{pgfpicture}% -\pgfpathrectangle{\pgfpointorigin}{\pgfqpoint{4.000000in}{2.400000in}}% -\pgfusepath{use as bounding box, clip}% -\begin{pgfscope}% -\pgfsetbuttcap% -\pgfsetmiterjoin% -\definecolor{currentfill}{rgb}{1.000000,1.000000,1.000000}% -\pgfsetfillcolor{currentfill}% -\pgfsetlinewidth{0.000000pt}% 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-\pgfusepath{stroke}% -\end{pgfscope}% -\end{pgfpicture}% -\makeatother% -\endgroup% diff --git a/buch/papers/laguerre/presentation/presentation.pdf b/buch/papers/laguerre/presentation/presentation.pdf new file mode 100644 index 0000000..3d00de3 Binary files /dev/null and b/buch/papers/laguerre/presentation/presentation.pdf differ diff --git a/buch/papers/laguerre/scripts/estimates.py b/buch/papers/laguerre/scripts/estimates.py index 207bbd2..21551f3 100644 --- a/buch/papers/laguerre/scripts/estimates.py +++ b/buch/papers/laguerre/scripts/estimates.py @@ -1,10 +1,19 @@ if __name__ == "__main__": + import matplotlib as mpl import matplotlib.pyplot as plt import numpy as np import gamma_approx as ga import targets + mpl.rcParams.update( + { + "mathtext.fontset": "stix", + "font.family": "serif", + "font.serif": "TeX Gyre Termes", + } + ) + N = 200 ns = np.arange(2, 13) step = 1 / (N - 1) @@ -32,7 +41,8 @@ if __name__ == "__main__": for ax in axs: ax.grid(1) ax.legend() - fig.savefig(f"{ga.img_path}/estimates.pgf") + # fig.savefig(f"{ga.img_path}/estimates.pgf") + fig.savefig(f"{ga.img_path}/estimates.pdf") print(f"Intercept={intercept:.6g}, Bias={bias:.6g}") predicts = np.ceil(intercept * ns[:, None] + bias - np.real(x)) diff --git a/buch/papers/laguerre/scripts/integrand.py b/buch/papers/laguerre/scripts/integrand.py index f31f194..e970721 100644 --- a/buch/papers/laguerre/scripts/integrand.py +++ b/buch/papers/laguerre/scripts/integrand.py @@ -6,9 +6,18 @@ if __name__ == "__main__": import os from pathlib import Path + import matplotlib as mpl import matplotlib.pyplot as plt import numpy as np + mpl.rcParams.update( + { + "mathtext.fontset": "stix", + "font.family": "serif", + "font.serif": "TeX Gyre Termes", + } + ) + EPSILON = 1e-12 xlims = np.array([-3, 3]) @@ -30,4 +39,4 @@ if __name__ == "__main__": ax.grid(1, "both") labels = [f"$z={zi: 3.1f}$" for zi in np.squeeze(z)] ax.legend(labels, ncol=2, loc="upper left", fontsize="small") - fig.savefig(f"{img_path}/integrand.pgf") + fig.savefig(f"{img_path}/integrand.pdf") diff --git a/buch/papers/laguerre/scripts/integrand_exp.py b/buch/papers/laguerre/scripts/integrand_exp.py index 0e50f43..e649b26 100644 --- a/buch/papers/laguerre/scripts/integrand_exp.py +++ b/buch/papers/laguerre/scripts/integrand_exp.py @@ -6,8 +6,17 @@ if __name__ == "__main__": import os from pathlib import Path + import matplotlib as mpl import matplotlib.pyplot as plt import numpy as np + + mpl.rcParams.update( + { + "mathtext.fontset": "stix", + "font.family": "serif", + "font.serif": "TeX Gyre Termes", + } + ) EPSILON = 1e-12 xlims = np.array([-3, 3]) @@ -32,5 +41,6 @@ if __name__ == "__main__": ax.grid(1, "both") labels = [f"$z={zi: 3.1f}$" for zi in np.squeeze(z)] ax.legend(labels, ncol=2, loc="upper left", fontsize="small") - fig.savefig(f"{img_path}/integrand_exp.pgf") + # fig.savefig(f"{img_path}/integrand_exp.pgf") + fig.savefig(f"{img_path}/integrand_exp.pdf") # plt.show() diff --git a/buch/papers/laguerre/scripts/laguerre_poly.py b/buch/papers/laguerre/scripts/laguerre_poly.py index 954a0b1..9700ab4 100644 --- a/buch/papers/laguerre/scripts/laguerre_poly.py +++ b/buch/papers/laguerre/scripts/laguerre_poly.py @@ -10,8 +10,17 @@ if __name__ == "__main__": import os from pathlib import Path + import matplotlib as mpl import matplotlib.pyplot as plt import scipy.special as ss + + mpl.rcParams.update( + { + "mathtext.fontset": "stix", + "font.family": "serif", + "font.serif": "TeX Gyre Termes", + } + ) N = 1000 step = 5 @@ -34,8 +43,8 @@ if __name__ == "__main__": ax.set_xlabel(r"$x$", x=1.0, labelpad=-10, rotation=0, fontsize="large") ylim = 13 - ax.set_yticks(np.arange(-ylim, ylim), minor=True) - ax.set_yticks(np.arange(-step * (ylim // step), ylim, step)) + ax.set_yticks(get_ticks(-ylim, ylim), minor=True) + ax.set_yticks(get_ticks(-step * (ylim // step), ylim, step)) ax.set_ylim(-ylim, ylim) ax.set_ylabel(r"$y$", y=0.95, labelpad=-18, rotation=0, fontsize="large") @@ -94,5 +103,6 @@ if __name__ == "__main__": clip_on=False, ) - fig.savefig(f"{img_path}/laguerre_poly.pgf") + # fig.savefig(f"{img_path}/laguerre_poly.pgf") + fig.savefig(f"{img_path}/laguerre_poly.pdf") # plt.show() diff --git a/buch/papers/laguerre/scripts/rel_error_complex.py b/buch/papers/laguerre/scripts/rel_error_complex.py new file mode 100644 index 0000000..5be79be --- /dev/null +++ b/buch/papers/laguerre/scripts/rel_error_complex.py @@ -0,0 +1,43 @@ +if __name__ == "__main__": + import matplotlib as mpl + import matplotlib.pyplot as plt + import numpy as np + import scipy.special + + import gamma_approx as ga + + mpl.rcParams.update( + { + "mathtext.fontset": "stix", + "font.family": "serif", + "font.serif": "TeX Gyre Termes", + } + ) + + xmax = 4 + vals = np.linspace(-xmax + ga.EPSILON, xmax, 100) + x, y = np.meshgrid(vals, vals) + mesh = x + 1j * y + input = mesh.flatten() + + lanczos = scipy.special.gamma(mesh) + lag = ga.eval_laguerre_gamma(input, n=8, func="optimal_shifted").reshape(mesh.shape) + rel_error = np.abs(ga.calc_rel_error(lanczos, lag)) + + fig, ax = plt.subplots(clear=True, constrained_layout=True, figsize=(4, 2.4)) + _c = ax.pcolormesh( + x, y, rel_error, shading="gouraud", cmap="inferno", norm=mpl.colors.LogNorm() + ) + cbr = fig.colorbar(_c, ax=ax) + cbr.minorticks_off() + # ax.set_title("Relative Error") + ax.set_xlabel("Re($z$)") + ax.set_ylabel("Im($z$)") + minor_ticks = np.arange(-xmax, xmax + ga.EPSILON) + ticks = np.arange(-xmax, xmax + ga.EPSILON, 2) + ax.set_xticks(ticks) + ax.set_xticks(minor_ticks, minor=True) + ax.set_yticks(ticks) + ax.set_yticks(minor_ticks, minor=True) + fig.savefig(f"{ga.img_path}/rel_error_complex.pdf") + # plt.show() diff --git a/buch/papers/laguerre/scripts/rel_error_mirror.py b/buch/papers/laguerre/scripts/rel_error_mirror.py index 05e68e4..7348d5e 100644 --- a/buch/papers/laguerre/scripts/rel_error_mirror.py +++ b/buch/papers/laguerre/scripts/rel_error_mirror.py @@ -1,9 +1,18 @@ if __name__ == "__main__": + import matplotlib as mpl import matplotlib.pyplot as plt import numpy as np import scipy.special import gamma_approx as ga + + mpl.rcParams.update( + { + "mathtext.fontset": "stix", + "font.family": "serif", + "font.serif": "TeX Gyre Termes", + } + ) xmin = -15 xmax = 15 @@ -25,4 +34,5 @@ if __name__ == "__main__": # ax.set_ylabel("Relativer Fehler") ax.legend(ncol=1, loc="upper left", fontsize=ga.fontsize) ax.grid(1, "both") - fig.savefig(f"{ga.img_path}/rel_error_mirror.pgf") + # fig.savefig(f"{ga.img_path}/rel_error_mirror.pgf") + fig.savefig(f"{ga.img_path}/rel_error_mirror.pdf") diff --git a/buch/papers/laguerre/scripts/rel_error_range.py b/buch/papers/laguerre/scripts/rel_error_range.py index 7c74d76..43b5450 100644 --- a/buch/papers/laguerre/scripts/rel_error_range.py +++ b/buch/papers/laguerre/scripts/rel_error_range.py @@ -1,13 +1,21 @@ if __name__ == "__main__": + import matplotlib as mpl import matplotlib.pyplot as plt import numpy as np import scipy.special import gamma_approx as ga - - N = 1001 - xmin = -5 - xmax = 5 + + mpl.rcParams.update( + { + "mathtext.fontset": "stix", + "font.family": "serif", + "font.serif": "TeX Gyre Termes", + } + ) + N = 1201 + xmax = 6 + xmin = -xmax ns = np.arange(2, 12, 2) ylim = np.array([-11, -1.2]) @@ -20,13 +28,14 @@ if __name__ == "__main__": ax.semilogy(x, np.abs(rel_err), label=f"$n={n}$") ax.set_xlim(x[0], x[-1]) ax.set_ylim(*(10.0 ** ylim)) - ax.set_xticks(np.arange(xmin + 1, xmax, 2)) - ax.set_xticks(np.arange(xmin, xmax), minor=True) + ax.set_xticks(np.arange(xmin, xmax + ga.EPSILON, 2)) + ax.set_xticks(np.arange(xmin, xmax + ga.EPSILON), minor=True) ax.set_yticks(10.0 ** np.arange(*ylim, 2)) - ax.set_yticks(10.0 ** np.arange(*ylim, 1), minor=True) + ax.set_yticks(10.0 ** np.arange(*ylim, 1), "", minor=True) ax.set_xlabel(r"$z$") # ax.set_ylabel("Relativer Fehler") ax.legend(ncol=1, loc="upper left", fontsize=ga.fontsize) ax.grid(1, "both") - fig.savefig(f"{ga.img_path}/rel_error_range.pgf") + # fig.savefig(f"{ga.img_path}/rel_error_range.pgf") + fig.savefig(f"{ga.img_path}/rel_error_range.pdf") # plt.show() diff --git a/buch/papers/laguerre/scripts/rel_error_shifted.py b/buch/papers/laguerre/scripts/rel_error_shifted.py index 1515c6e..dc9d177 100644 --- a/buch/papers/laguerre/scripts/rel_error_shifted.py +++ b/buch/papers/laguerre/scripts/rel_error_shifted.py @@ -1,10 +1,18 @@ if __name__ == "__main__": + import matplotlib as mpl import matplotlib.pyplot as plt import numpy as np import scipy.special import gamma_approx as ga + mpl.rcParams.update( + { + "mathtext.fontset": "stix", + "font.family": "serif", + "font.serif": "TeX Gyre Termes", + } + ) n = 8 # order of Laguerre polynomial N = 200 # number of points in interval @@ -19,7 +27,7 @@ if __name__ == "__main__": ax.semilogy(x, rel_error, label=f"$m={target}$", linewidth=3) gamma_lgo = ga.eval_laguerre_gamma(x, n=n, func="optimal_shifted") rel_error = np.abs(ga.calc_rel_error(gamma, gamma_lgo)) - ax.semilogy(x, rel_error, "m", linestyle="dotted", label="$m^*$", linewidth=3) + ax.semilogy(x, rel_error, "m", linestyle=":", label="$m^*$", linewidth=3) ax.set_xlim(x[0], x[-1]) ax.set_ylim(5e-9, 5e-8) ax.set_xlabel(r"$z$") @@ -27,5 +35,6 @@ if __name__ == "__main__": ax.set_xticks(np.linspace(0, 1, 11), minor=True) ax.grid(1, "both") ax.legend(ncol=1, fontsize=ga.fontsize) - fig.savefig(f"{ga.img_path}/rel_error_shifted.pgf") + # fig.savefig(f"{ga.img_path}/rel_error_shifted.pgf") + fig.savefig(f"{ga.img_path}/rel_error_shifted.pdf") # plt.show() diff --git a/buch/papers/laguerre/scripts/rel_error_simple.py b/buch/papers/laguerre/scripts/rel_error_simple.py index 0929976..686500b 100644 --- a/buch/papers/laguerre/scripts/rel_error_simple.py +++ b/buch/papers/laguerre/scripts/rel_error_simple.py @@ -1,10 +1,21 @@ if __name__ == "__main__": + import matplotlib as mpl import matplotlib.pyplot as plt import numpy as np import scipy.special import gamma_approx as ga + # mpl.rc("text", usetex=True) + mpl.rcParams.update( + { + "mathtext.fontset": "stix", + "font.family": "serif", + "font.serif": "TeX Gyre Termes", + } + ) + # mpl.rcParams.update({"font.family": "serif", "font.serif": "TeX Gyre Termes"}) + # Simple / naive xmin = -5 xmax = 30 @@ -26,4 +37,5 @@ if __name__ == "__main__": # ax.set_ylabel("Relativer Fehler") ax.legend(ncol=3, fontsize=ga.fontsize) ax.grid(1, "both") - fig.savefig(f"{ga.img_path}/rel_error_simple.pgf") + # fig.savefig(f"{ga.img_path}/rel_error_simple.pgf") + fig.savefig(f"{ga.img_path}/rel_error_simple.pdf") diff --git a/buch/papers/laguerre/scripts/targets.py b/buch/papers/laguerre/scripts/targets.py index 73d6e03..206b3a1 100644 --- a/buch/papers/laguerre/scripts/targets.py +++ b/buch/papers/laguerre/scripts/targets.py @@ -10,24 +10,33 @@ def find_best_loc(N=200, a=1.375, b=0.5, ns=None): bests = [] step = 1 / (N - 1) x = np.linspace(step, 1 - step, N + 1) - gamma = scipy.special.gamma(x)[:, None] + gamma = scipy.special.gamma(x) for n in ns: zeros, weights = np.polynomial.laguerre.laggauss(n) est = np.ceil(b + a * n) targets = np.arange(max(est - 2, 0), est + 3) - glag = [ - ga.eval_laguerre_gamma(x, target=target, x=zeros, w=weights, func="shifted") - for target in targets - ] - gamma_lag = np.stack(glag, -1) - rel_error = np.abs(ga.calc_rel_error(gamma, gamma_lag)) + rel_error = [] + for target in targets: + gamma_lag = ga.eval_laguerre_gamma(x, target=target, x=zeros, w=weights, func="shifted") + rel_error.append(np.abs(ga.calc_rel_error(gamma, gamma_lag))) + rel_error = np.stack(rel_error, -1) best = np.argmin(rel_error, -1) + targets[0] bests.append(best) return np.stack(bests, 0) if __name__ == "__main__": + import matplotlib as mpl import matplotlib.pyplot as plt + + mpl.rcParams.update( + { + "mathtext.fontset": "stix", + "font.family": "serif", + "font.serif": "TeX Gyre Termes", + } + ) + N = 200 ns = np.arange(2, 13) @@ -45,4 +54,5 @@ if __name__ == "__main__": ax.set_yticklabels(ns) ax.set_xlabel(r"$z$") ax.set_ylabel(r"$n$") - fig.savefig(f"{ga.img_path}/targets.pgf") + # fig.savefig(f"{ga.img_path}/targets.pgf") + fig.savefig(f"{ga.img_path}/targets.pdf") -- cgit v1.2.1 From e1f5d6267540ea8dc758696fb08cb7540362cf8f Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Patrik=20M=C3=BCller?= Date: Mon, 18 Jul 2022 17:34:37 +0200 Subject: First complete draft of Laguerre chapter --- buch/papers/laguerre/Makefile | 2 +- buch/papers/laguerre/definition.tex | 6 +- buch/papers/laguerre/gamma.tex | 242 ++++++++++++++------- buch/papers/laguerre/images/estimates.pdf | Bin 13780 -> 13780 bytes buch/papers/laguerre/images/gammaplot.pdf | Bin 23297 -> 23297 bytes buch/papers/laguerre/images/integrand.pdf | Bin 16109 -> 16109 bytes buch/papers/laguerre/images/integrand_exp.pdf | Bin 16951 -> 16951 bytes buch/papers/laguerre/images/laguerre_poly.pdf | Bin 19815 -> 19815 bytes buch/papers/laguerre/images/rel_error_complex.pdf | Bin 198151 -> 195590 bytes buch/papers/laguerre/images/rel_error_mirror.pdf | Bin 26866 -> 26866 bytes buch/papers/laguerre/images/rel_error_range.pdf | Bin 25704 -> 25105 bytes buch/papers/laguerre/images/rel_error_shifted.pdf | Bin 16231 -> 16317 bytes buch/papers/laguerre/images/rel_error_simple.pdf | Bin 23353 -> 23353 bytes buch/papers/laguerre/images/targets.pdf | Bin 14757 -> 14462 bytes buch/papers/laguerre/main.tex | 2 +- .../presentation/sections/gamma_approx.tex | 24 +- .../laguerre/presentation/sections/laguerre.tex | 3 +- buch/papers/laguerre/quadratur.tex | 14 +- buch/papers/laguerre/references.bib | 18 +- buch/papers/laguerre/scripts/gamma_approx.py | 1 + buch/papers/laguerre/scripts/rel_error_complex.py | 4 +- buch/papers/laguerre/scripts/rel_error_range.py | 2 +- buch/papers/laguerre/scripts/rel_error_shifted.py | 2 +- buch/papers/laguerre/scripts/targets.py | 4 +- 24 files changed, 211 insertions(+), 113 deletions(-) (limited to 'buch/papers') diff --git a/buch/papers/laguerre/Makefile b/buch/papers/laguerre/Makefile index 48f8066..85a1b83 100644 --- a/buch/papers/laguerre/Makefile +++ b/buch/papers/laguerre/Makefile @@ -28,7 +28,7 @@ images: $(FIGURES) .PHONY: presentation presentation: $(PRESFOLDER)/presentation.pdf -images/%.pdf images/%.pgf: scripts/%.py +images/%.pdf images/%.pgf: scripts/%.py scripts/gamma_approx.py python3 $< images/gammaplot.pdf: images/gammaplot.tex images/gammapaths.tex diff --git a/buch/papers/laguerre/definition.tex b/buch/papers/laguerre/definition.tex index 9ebc288..42cd6f6 100644 --- a/buch/papers/laguerre/definition.tex +++ b/buch/papers/laguerre/definition.tex @@ -125,10 +125,8 @@ Die Laguerre-Polynome von Grad $0$ bis $7$ sind in Abbildung~\ref{laguerre:fig:polyeval} dargestellt. \begin{figure} \centering -\scalebox{0.8}{\input{papers/laguerre/images/laguerre_poly.pgf}} -% \includegraphics[width=0.7\textwidth]{% -% papers/laguerre/images/laguerre_polynomes.eps% -% } +% \scalebox{0.8}{\input{papers/laguerre/images/laguerre_poly.pgf}} +\includegraphics[width=0.9\textwidth]{papers/laguerre/images/laguerre_poly.pdf} \caption{Laguerre-Polynome vom Grad $0$ bis $7$} \label{laguerre:fig:polyeval} \end{figure} diff --git a/buch/papers/laguerre/gamma.tex b/buch/papers/laguerre/gamma.tex index a28c180..eb64fa2 100644 --- a/buch/papers/laguerre/gamma.tex +++ b/buch/papers/laguerre/gamma.tex @@ -23,8 +23,8 @@ Integral der Form , \quad \text{wobei Realteil von $z$ grösser als $0$} -, \label{laguerre:gamma} +. \end{align} Der Term $e^{-t}$ ist genau die Gewichtsfunktion der Laguerre-Integration und der Definitionsbereich passt ebenfalls genau für dieses Verfahren. @@ -72,7 +72,7 @@ allerdings müssten die Gewichte und Nullstellen für jedes $z$ neu berechnet werden, da sie per Definition von $z$ abhängen. Dazu kommt, -dass die Berechnung der Gewichte $A_i$ nach \cite{Cassity1965AbcissasCA} +dass die Berechnung der Gewichte $A_i$ nach \cite{laguerre:Cassity1965AbcissasCA} \begin{align*} A_i = @@ -85,7 +85,7 @@ A_i } \end{align*} Evaluationen der Gamma-Funktion benötigen. -Somit scheint diese Methode nicht geeignet für unser Vorhaben. +Somit ist diese Methode eindeutig nicht geeignet für unser Vorhaben. Bei der zweiten Variante benötigen wir keine Neuberechung der Gewichte und Nullstellen für unterschiedliche $z$. @@ -95,10 +95,10 @@ Auch die Nullstellen können vorgängig, mittels eines geeigneten Verfahrens aus den Polynomen bestimmt werden. Als problematisch könnte sich höchstens die zu integrierende Funktion $f(x)=x^{z-1}$ für $|z| \gg 0$ erweisen. -Somit entscheiden wir uns auf Grund der vorherigen Punkte, +Somit entscheiden wir uns aufgrund der vorherigen Punkte, die zweite Variante weiterzuverfolgen. -\subsubsection{Naiver Ansatz} +\subsubsection{Direkter Ansatz} Wenden wir also die Gauss-Laguerre-Quadratur aus \eqref{laguerre:laguerrequadratur} auf die Gamma-Funktion \eqref{laguerre:gamma} an ergibt sich @@ -111,15 +111,16 @@ Wenden wir also die Gauss-Laguerre-Quadratur aus \begin{figure} \centering -\input{papers/laguerre/images/rel_error_simple.pgf} -\vspace{-12pt} -\caption{Relativer Fehler des naiven Ansatzes +% \input{papers/laguerre/images/rel_error_simple.pgf} +\includegraphics{papers/laguerre/images/rel_error_simple.pdf} +%\vspace{-12pt} +\caption{Relativer Fehler des direkten Ansatzes für verschiedene reele Werte von $z$ und Grade $n$ der Laguerre-Polynome} \label{laguerre:fig:rel_error_simple} \end{figure} Bevor wir die Gauss-Laguerre-Quadratur anwenden, -möchten wir als erstes eine Fehlerabschätzung durchführen. +möchten wir als ersten Schritt eine Fehlerabschätzung durchführen. Für den Fehlerterm \eqref{laguerre:lag_error} wird die $2n$-te Ableitung der zu integrierenden Funktion $f(\xi)$ benötigt. Für das Integral der Gamma-Funktion ergibt sich also @@ -130,6 +131,7 @@ Für das Integral der Gamma-Funktion ergibt sich also \\ & = (z - 2n)_{2n} \xi^{z - 2n - 1} +. \end{align*} Eingesetzt im Fehlerterm \eqref{laguerre:lag_error} resultiert \begin{align} @@ -147,17 +149,19 @@ und für $z > 2n - 1$ bei $\xi \rightarrow \infty$ divergiert. Nur für den unwahrscheinlichen Fall $ z = 2n - 1$ wäre eine Fehlerabschätzung plausibel. -Wenden wir nun also naiv die Gauss-Laguerre-Quadratur auf die Gammafunktion an. +Wenden wir nun also direkt die Gauss-Laguerre-Quadratur auf die Gamma-Funktion +an. Dazu benötigen wir die Gewichte nach \eqref{laguerre:quadratur_gewichte} und als Stützstellen die Nullstellen des Laguerre-Polynomes $L_n$. Evaluieren wir den relativen Fehler unserer Approximation zeigt sich ein Bild wie in Abbildung~\ref{laguerre:fig:rel_error_simple}. Man kann sehen, -wie der relative Fehler Nullstellen aufweist für ganzzahlige $z < 2n$, +wie der relative Fehler Nullstellen aufweist für ganzzahlige $z \leq 2n$, was laut der Theorie der Gauss-Quadratur auch zu erwarten ist, denn die Approximation via Gauss-Quadratur -ist exakt für zu integrierende Polynome mit Grad $< 2n-1$. +ist exakt für zu integrierende Polynome mit Grad $\leq 2n-1$ +und von $z$ auch noch $1$ abgezogen wird im Exponenten. Es ist ersichtlich, dass sich für den Polynomgrad $n$ ein Interval gibt, in dem der relative Fehler minimal ist. @@ -168,9 +172,10 @@ könnten wir die Reflektionsformel der Gamma-Funktion ausnutzen. \begin{figure} \centering -\input{papers/laguerre/images/rel_error_mirror.pgf} -\vspace{-12pt} -\caption{Relativer Fehler des naiven Ansatz mit Spiegelung negativer Realwerte +% \input{papers/laguerre/images/rel_error_mirror.pgf} +\includegraphics{papers/laguerre/images/rel_error_mirror.pdf} +%\vspace{-12pt} +\caption{Relativer Fehler des Ansatzes mit Spiegelung negativer Realwerte für verschiedene reele Werte von $z$ und Grade $n$ der Laguerre-Polynome} \label{laguerre:fig:rel_error_mirror} \end{figure} @@ -202,8 +207,9 @@ dadurch geeignete Gegenmassnahmen zu entwickeln. % und Abbildung~\ref{laguerre:fig:integrand_exp} grafisch dargestellt werden. \begin{figure} \centering -\input{papers/laguerre/images/integrand.pgf} -\vspace{-12pt} +% \input{papers/laguerre/images/integrand.pgf} +\includegraphics{papers/laguerre/images/integrand.pdf} +%\vspace{-12pt} \caption{Integrand $x^z$ mit unterschiedlichen Werten für $z$} \label{laguerre:fig:integrand} \end{figure} @@ -211,7 +217,7 @@ dadurch geeignete Gegenmassnahmen zu entwickeln. In Abbildung~\ref{laguerre:fig:integrand} ist der Integrand $x^z$ für unterschiedliche Werte von $z$ dargestellt. Dies entspricht der zu integrierenden Funktion $f(x)$ -der Gauss-Laguerre-Quadratur für die Gamma-Funktion- +der Gauss-Laguerre-Quadratur für die Gamma-Funktion. Man erkennt, dass für kleine $z$ sich ein singulärer Integrand ergibt und auch für grosse $z$ wächst der Integrand sehr schnell an. @@ -223,8 +229,9 @@ dass kleine Exponenten um $0$ genauere Resultate liefern sollten. \begin{figure} \centering -\input{papers/laguerre/images/integrand_exp.pgf} -\vspace{-12pt} +% \input{papers/laguerre/images/integrand_exp.pgf} +\includegraphics{papers/laguerre/images/integrand_exp.pdf} +%\vspace{-12pt} \caption{Integrand $x^z e^{-x}$ mit unterschiedlichen Werten für $z$} \label{laguerre:fig:integrand_exp} \end{figure} @@ -246,9 +253,9 @@ Damit formulieren wir die Vermutung, dass $a(n)$, welches das Intervall $[a(n), a(n) + 1]$ definiert, in dem der relative Fehler minimal ist, -grösser als $0$ ist. +grösser als $0$ und kleiner als $2n-1$ ist. -\subsubsection{Finden der optimalen Berechnungsstelle} +\subsubsection{Ansatz mit Verschiebungsterm} % Mittels der Funktionalgleichung \eqref{laguerre:gamma_funktional} % kann der Wert von $\Gamma(z)$ im Interval $z \in [a,a+1]$, % in dem der relative Fehler minimal ist, @@ -287,12 +294,13 @@ s(z, m) = \begin{cases} \displaystyle -\frac{1}{(z - m)_m} & \text{wenn } m \geq 0 \\ -(z + m)_{-m} & \text{wenn } m < 0 +\frac{1}{(z)_m} & \text{wenn } m \geq 0 \\ +(z + m)_{-m} & \text{wenn } m < 0 \end{cases} . \end{align*} +\subsubsection{Finden der optimalen Berechnungsstelle} Um die optimale Stelle $z^*(n) \in \left[a(n), a(n) + 1\right]$, $z^*(n) \in \mathbb{R}$, zu finden, @@ -305,9 +313,17 @@ s(z, m) \cdot (z - 2n)_{2n} \frac{(n!)^2}{(2n)!} \xi^{z + m - 2n - 1} ,\quad \text{für } \xi \in (0, \infty) -. \label{laguerre:gamma_err_shifted} +. \end{align} + +\begin{figure} +\centering +\includegraphics{papers/laguerre/images/targets.pdf} +% %\vspace{-12pt} +\caption{$a$ in Abhängigkeit von $z$ und $n$} +\label{laguerre:fig:targets} +\end{figure} % wobei ist % mit $z^*(n) \in \mathbb{R}$ wollen wir finden, % in dem wir den Fehlerterm \eqref{laguerre:lag_error} anpassen @@ -329,21 +345,14 @@ m^* \operatorname*{argmin}_m \max_\xi R_{n,m}(\xi) . \end{align*} -Allerdings ist die Funktion $R_{n,m}(\xi)$ unbeschränkt. +Allerdings ist die Funktion $R_{n,m}(\xi)$ unbeschränkt und +hat die gleichen Probleme wie die Fehlerabschätzung des direkten Ansatzes. Dazu müssten wir $\xi$ versuchen unter Kontrolle zu bringen, was ein äussersts schwieriges Unterfangen zu sein scheint. -Da die Gauss-Quadratur aber sowieso nur wirklich Sinn macht für kleine $n$, +Da die Gauss-Quadratur aber sowieso +nur wirklich praktisch sinnvoll für kleine $n$ ist, können die Intervalle $[a(n), a(n)+1]$ empirisch gesucht werden. -\begin{figure} -\centering -% \includegraphics{papers/laguerre/images/targets.pdf} -\input{papers/laguerre/images/targets.pgf} -\vspace{-12pt} -\caption{$a$ in Abhängigkeit von $z$ und $n$} -\label{laguerre:fig:targets} -\end{figure} - Wir bestimmen nun die optimalen Verschiebungsterme empirisch für $n = 2,\ldots, 12$ im Intervall $z \in (0, 1)$, da $z$ sowieso um den Term $m$ verschoben wird, @@ -369,11 +378,20 @@ Den linearen Regressor machen wir nur abhängig von $n$ in dem wir den Mittelwert $\overline{m}$ von $m^*$ über $z$ berechnen. +\begin{figure} +\centering +% \input{papers/laguerre/images/estimates.pgf} +\includegraphics{papers/laguerre/images/estimates.pdf} +%\vspace{-12pt} +\caption{Schätzung Mittelwert von $m$ und Fehler} +\label{laguerre:fig:schaetzung} +\end{figure} + In Abbildung~\ref{laguerre:fig:schaetzung} sind die Resultate der linearen Regression aufgezeigt mit $\alpha = 1.34094$ und $\beta = 0.854093$. Die lineare Beziehung ist ganz klar ersichtlich und der Fit scheint zu genügen. -Der optimalen Verschiebungsterm +Der optimalen Verschiebungsterm kann nun mit \begin{align*} m^* \approx @@ -381,61 +399,127 @@ m^* = \lceil \alpha n + \beta - z \rceil \end{align*} -kann nun mit dem linearen Regressor und $z$ gefunden werden. - -\begin{figure} -\centering -\input{papers/laguerre/images/estimates.pgf} -\vspace{-12pt} -\caption{Schätzung Mittelwert von $m$ und Fehler} -\label{laguerre:fig:schaetzung} -\end{figure} - -\subsection{Resultate} - -\subsubsection{Relativer Fehler} +% kann nun mit dem linearen Regressor und $z$ +gefunden werden. +\subsubsection{Evaluation des Schätzers} +In einem ersten Schritt möchten wir analysieren, +wie gut die Abschätzung des optimalen Verschiebungsterms ist. +Dazu bestimmen wir den relativen Fehler für verschiedene Verschiebungsterme $m$ +rund um $m^*$ bei gegebenem Polynomgrad $n = 8$ für $z \in (0, 1)$. +Abbildung~\ref{laguerre:fig:rel_error_shifted} sind die relativen Fehler +der Approximation dargestellt. +Man kann deutlich sehen, +dass der relative Fehler anwächst, +je weiter der Verschiebungsterm vom idealen Wert abweicht. +Zudem scheint der Schätzer den optimalen Verschiebungsterm gut zu bestimmen, +da der Schätzer zuerst der grünen Linie folgt und +dann beim Übergang auf die orange Linie wechselt. \begin{figure} \centering -\input{papers/laguerre/images/rel_error_shifted.pgf} -\vspace{-12pt} +% \input{papers/laguerre/images/rel_error_shifted.pgf} +\includegraphics{papers/laguerre/images/rel_error_shifted.pdf} +%\vspace{-12pt} \caption{Relativer Fehler des Ansatzes mit Verschiebungsterm für verschiedene reele Werte von $z$ und Verschiebungsterme $m$. Das verwendete Laguerre-Polynom besitzt den Grad $n = 8$. $m^*$ bezeichnet hier den optimalen Verschiebungsterm} \label{laguerre:fig:rel_error_shifted} \end{figure} - + +\subsubsection{Resultate} +Das Verfahren scheint für den Grad $n=8$ und $z \in (0,1)$ gut zu funktioneren. +Es stellt sich nun die Frage, +wie der relative Fehler sich für verschiedene $z$ und $n$ verhält. +In Abbildung~\ref{laguerre:fig:rel_error_range} sind die relativen Fehler für +unterschiedliche $n$ dargestellt. +Der relative Fehler scheint immer noch Nullstellen aufzuweisen, +bei für ganzzahlige $z$. +Durch das Verschieben ergibt sich jetzt aber, +wie zu erwarten war, +ein periodischer relativer Fehler mit einer Periodendauer von $1$. +Zudem lässt sich erkennen, +dass der Fehler abhängig von der Ordnung $n$ +des verwendeten Laguerre-Polynoms ist. +Wenn der Grad $n$ um $1$ erhöht wird, +verbessert sich die Genauigkeit des Resultats um etwa eine signifikante Stelle. + +In Abbildung~\ref{laguerre:fig:rel_error_complex} +ist der Betrag des relativen Fehlers in der komplexen Ebene dargestellt. +Je stärker der Imaginäranteil von $z$ von $0$ abweicht, +umso schlechter wird die Genauigkeit der Approximation. +Das erstaunt nicht weiter, +da die Gauss-Quadratur eigentlich nur für reelle Zahlen definiert ist. +Wenn der Imaginäranteil von $z$ ungefähr $0$ ist, +lässt sich das gleiche Bild beobachten wie in +Abbildung~\ref{laguerre:fig:rel_error_range}. + \begin{figure} \centering -\input{papers/laguerre/images/rel_error_range.pgf} -\vspace{-12pt} +% \input{papers/laguerre/images/rel_error_range.pgf} +\includegraphics{papers/laguerre/images/rel_error_range.pdf} +%\vspace{-12pt} \caption{Relativer Fehler des Ansatzes mit optimalen Verschiebungsterm -für verschiedene reele Werte von $z$ und Grade $n$ der Laguerre-Polynome} +für verschiedene reele Werte von $z$ und Laguerre-Polynome vom Grad $n$} \label{laguerre:fig:rel_error_range} \end{figure} -\subsubsection{Vergleich mit Lanczos-Methode} -{\color{red} -$ $\newline -$n = 7$:\newline -Lanczos Polynomgrad auf 13 Stellen.\newline -Unsere Methode auf 7 Stellen -} - -% 2. Die Fehlerabschätzung ist problematisch, -% weil die Funktion R_n(\xi) unbeschränkt ist. -% Daher kann man nicht einfach nach dem Maximum von R_n(\xi) suchen. -% Man muss zunächst irgendwie das \xi unter Kontrolle bringen. -% Das scheint mir äusserst schwierig zu sein. +\begin{figure} +\centering +\includegraphics{papers/laguerre/images/rel_error_complex.pdf} +%\vspace{-12pt} +\caption{Absolutwert des relativen Fehlers in der komplexen Ebene} +\label{laguerre:fig:rel_error_complex} +\end{figure} -% Ich möchte daher folgendes anregen: -% Im Sinne der Formulierung des Problems, -% wie im Punkt 1 oben könnten Sie für verschiedene n -% nach den optimalen Intervallen [a(n),a(n)+1] suchen, -% und versuchen, einen empirischen Zusammenhang (Faustregel) -% zwischen n und a(n) zu formulieren. -% Das ist etwa gleich gut, -% da ja der Witz der Gauss-Integration ist, -% dass man eben nur sehr kleine n überhaupt in Betracht zieht, -% d.h. man braucht keine exakte Gesetzmässigkeit für a(n). +\subsubsection{Vergleich mit Lanczos-Methode} +Nun stellt sich die Frage, +wie das in diesem Abschnitt beschriebene Approximationsverfahren +der Gamma-Funktion sich gegenüber den üblichen Approximationsverfahren schlägt. +Eine häufig verwendete Methode ist die Lanczos-Approximation, +welche gegeben ist durch +\begin{align} +\Gamma(z + 1) +\approx +\sqrt{2\pi} \left( z + \sigma + \frac{1}{2} \right)^{z + 1/2} +e^{-(z + \sigma + 1/2)} \sum_{k=0}^n g_k H_k(z) +, +\end{align} +wobei +\begin{align*} +g_k = \frac{e^\sigma \varepsilon_k (-1)^k}{\sqrt{2\pi}} +\sum_{r=0}^k (-1)^r \, \binom{k}{r} \, (k)_r +\left( \frac{e}{r + \sigma + \frac{1}{2}}\right)^{r + 1/2} +, +\end{align*} +\begin{align*} +\varepsilon_k += +\begin{cases} +1 & \text{für } k = 0 \\ +2 & \text{sonst} +\end{cases} +\quad \text{und}\quad +H_k(z) += +\frac{(-1)^k (-z)_k}{(z+1)_k} +\end{align*} +mit $H_0 = 1$ und $\sum_0^n g_k = 1$ (siehe \cite{laguerre:lanczos}). +Diese Methode wurde zum Beispiel in +{\em GNU Scientific Library}, {\em Boost}, {\em CPython} und +{\em musl} implementiert. +Diese Methode erreicht für $n = 7$ typischerweise Genauigkeit von $13$ +korrekten, signifikanten Stellen für reele Argumente. +Zum Vergleich: die vorgestellte Methode erreicht für $n = 7$ +eine minimale Genauigkeit von $6$-$7$ korrekten, signifikanten Stellen +für reele Argumente. +Das Resultat ist etwas enttäuschend, +aber nicht unerwartet, +da die Lanczos-Methode spezifisch auf dieses Problem zugeschnitten ist und +unsere Methode eine erweiterte allgemeine Methode ist. +Was die Komplexität der Berechnungen im Betrieb angeht, +ist die Gauss-Laguerre-Quadratur wesentlich ressourcensparender, +weil sie nur aus $n$ Funktionasevaluationen, +wenigen Multiplikationen und Additionen besteht. +Also könnte diese Methode z.B. 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Laguerre entdeckte diese Polynome als er Approximationsmethoden für das Integral $\int_0^\infty \exp(-x) / x \, dx$ suchte. -Darum möchten wir in diesem Kapitel uns, +Darum möchten wir uns in diesem Kapitel, ganz im Sinne des Entdeckers, den Laguerre-Polynomen für Approximationen von Integralen mit exponentiell-abfallenden Funktionen widmen. diff --git a/buch/papers/laguerre/presentation/sections/gamma_approx.tex b/buch/papers/laguerre/presentation/sections/gamma_approx.tex index 3d32aae..ecd02ab 100644 --- a/buch/papers/laguerre/presentation/sections/gamma_approx.tex +++ b/buch/papers/laguerre/presentation/sections/gamma_approx.tex @@ -49,7 +49,8 @@ R_n(\xi) \begin{figure}[h] \centering % \scalebox{0.91}{\input{../images/rel_error_simple.pgf}} -\resizebox{!}{0.72\textheight}{\input{../images/rel_error_simple.pgf}} +% \resizebox{!}{0.72\textheight}{\input{../images/rel_error_simple.pgf}} +\includegraphics[width=0.77\textwidth]{../images/rel_error_simple.pdf} \caption{Relativer Fehler des einfachen Ansatzes für verschiedene reele Werte von $z$ und Grade $n$ der Laguerre-Polynome} \end{figure} @@ -81,7 +82,8 @@ von $z$ und Grade $n$ der Laguerre-Polynome} \begin{frame}{$f(x) = x^z$} \begin{figure}[h] \centering -\scalebox{0.91}{\input{../images/integrand.pgf}} +% \scalebox{0.91}{\input{../images/integrand.pgf}} +\includegraphics[width=0.8\textwidth]{../images/integrand.pdf} % \caption{Integrand $x^z$ mit unterschiedlichen Werten für $z$} \end{figure} \end{frame} @@ -89,7 +91,8 @@ von $z$ und Grade $n$ der Laguerre-Polynome} \begin{frame}{Integrand $x^z e^{-x}$} \begin{figure}[h] \centering -\scalebox{0.91}{\input{../images/integrand_exp.pgf}} +% \scalebox{0.91}{\input{../images/integrand_exp.pgf}} +\includegraphics[width=0.8\textwidth]{../images/integrand_exp.pdf} % \caption{Integrand $x^z$ mit unterschiedlichen Werten für $z$} \end{figure} \end{frame} @@ -144,15 +147,16 @@ da Gauss-Quadratur nur für kleine $n$ praktischen Nutzen hat} \begin{frame}{Schätzen von $m^*$} \begin{columns} -\begin{column}{0.6\textwidth} +\begin{column}{0.65\textwidth} \begin{figure} \centering -\vspace{-24pt} -\scalebox{0.7}{\input{../images/estimates.pgf}} +\vspace{-12pt} +% \scalebox{0.7}{\input{../images/estimates.pgf}} +\includegraphics[width=1.0\textwidth]{../images/estimates.pdf} % \caption{Integrand $x^z$ mit unterschiedlichen Werten für $z$} \end{figure} \end{column} -\begin{column}{0.39\textwidth} +\begin{column}{0.34\textwidth} \begin{align*} \hat{m} &= @@ -173,7 +177,8 @@ m^* \begin{frame}{} \begin{figure}[h] \centering -\scalebox{0.6}{\input{../images/rel_error_shifted.pgf}} +% \scalebox{0.6}{\input{../images/rel_error_shifted.pgf}} +\includegraphics{../images/rel_error_shifted.pdf} \caption{Relativer Fehler mit $n=8$, unterschiedlichen Verschiebungstermen $m$ und $z\in(0, 1)$} \end{figure} \end{frame} @@ -181,7 +186,8 @@ m^* \begin{frame}{} \begin{figure}[h] \centering -\scalebox{0.6}{\input{../images/rel_error_range.pgf}} +% \scalebox{0.6}{\input{../images/rel_error_range.pgf}} +\includegraphics{../images/rel_error_range.pdf} \caption{Relativer Fehler mit $n=8$, Verschiebungsterm $m^*$ und $z\in(-5, 5)$} \end{figure} \end{frame} diff --git a/buch/papers/laguerre/presentation/sections/laguerre.tex b/buch/papers/laguerre/presentation/sections/laguerre.tex index ed29387..f99214e 100644 --- a/buch/papers/laguerre/presentation/sections/laguerre.tex +++ b/buch/papers/laguerre/presentation/sections/laguerre.tex @@ -55,7 +55,8 @@ L_n(x) \begin{frame} \begin{figure}[h] \centering -\resizebox{0.74\textwidth}{!}{\input{../images/laguerre_poly.pgf}} +% \resizebox{0.74\textwidth}{!}{\input{../images/laguerre_poly.pgf}} +\includegraphics[width=0.7\textwidth]{../images/laguerre_poly.pdf} \caption{Laguerre-Polynome vom Grad $0$ bis $7$} \end{figure} \end{frame} diff --git a/buch/papers/laguerre/quadratur.tex b/buch/papers/laguerre/quadratur.tex index 7cbae48..4ca6913 100644 --- a/buch/papers/laguerre/quadratur.tex +++ b/buch/papers/laguerre/quadratur.tex @@ -48,13 +48,13 @@ darum müssen wir sie mit einer Funktion multiplizieren, die schneller als jedes Polynom gegen $0$ geht, damit das Integral immer noch konvergiert. Die Laguerre-Polynome $L_n$ bieten hier Abhilfe, -da ihre Gewichtsfunktion $e^{-x}$ schneller +da ihre Gewichtsfunktion $w(x) = e^{-x}$ schneller gegen $0$ konvergiert als jedes Polynom. % In unserem Falle möchten wir die Gauss Quadratur auf die Laguerre-Polynome % $L_n$ ausweiten. % Diese sind orthogonal im Intervall $(0, \infty)$ bezüglich % der Gewichtsfunktion $e^{-x}$. -Gleichung~\eqref{laguerre:gaussquadratur} lässt sich wie folgt +Die Gleichung~\eqref{laguerre:gaussquadratur} lässt sich wie folgt umformulieren: \begin{align} \int_{0}^{\infty} f(x) e^{-x} dx @@ -81,7 +81,7 @@ l_i(x_j) % . \end{align*} die Lagrangschen Interpolationspolynome. -Laut \cite{hildebrand2013introduction} können die Gewicht mit +Laut \cite{laguerre:hildebrand2013introduction} können die Gewichte mit \begin{align*} A_i & = @@ -97,7 +97,7 @@ des orthogonalen Polynoms $\phi_n(x)$, $\forall i =0,\ldots,n$ und \end{align*} dem Normalisierungsfaktor. Wir setzen nun $\phi_n(x) = L_n(x)$ und -nutzen den Vorzeichenwechsel der Laguerrekoeffizienten aus, +nutzen den Vorzeichenwechsel der Laguerre-Koeffizienten aus, damit erhalten wir \begin{align*} A_i @@ -135,7 +135,7 @@ n L_n(x) - n L_{n-1}(x) &= (x - n - 1) L_n(x) + (n + 1) L_{n+1}(x) \end{align*} umgeformt werden und da $x_i$ die Nullstellen von $L_n(x)$ sind, -folgt +vereinfacht sich der Term zu \begin{align*} x_i L'_n(x_i) &= @@ -145,7 +145,7 @@ x_i L'_n(x_i) (n + 1) L_{n+1}(x_i) . \end{align*} -Setzen wir das nun in \eqref{laguerre:gewichte_lag_temp} ein ergibt sicht +Setzen wir das nun in \eqref{laguerre:gewichte_lag_temp} ein ergibt sich \begin{align} \nonumber A_i @@ -168,7 +168,7 @@ Der Fehlerterm $R_n$ folgt direkt aus der Approximation = \sum_{i=1}^n f(x_i) A_i + R_n \end{align*} -und \cite{abramowitz+stegun} gibt ihn als +und \cite{laguerre:abramowitz+stegun} gibt ihn als \begin{align} R_n & = diff --git a/buch/papers/laguerre/references.bib b/buch/papers/laguerre/references.bib index 2371922..d21009b 100644 --- a/buch/papers/laguerre/references.bib +++ b/buch/papers/laguerre/references.bib @@ -3,19 +3,17 @@ % % (c) 2020 Autor, Hochschule Rapperswil % - -@book{hildebrand2013introduction, +@book{laguerre:hildebrand2013introduction, title={Introduction to Numerical Analysis: Second Edition}, author={Hildebrand, F.B.}, isbn={9780486318554}, series={Dover Books on Mathematics}, - url={https://books.google.ch/books?id=ic2jAQAAQBAJ}, year={2013}, publisher={Dover Publications}, pages = {389} } -@book{abramowitz+stegun, +@book{laguerre:abramowitz+stegun, added-at = {2008-06-25T06:25:58.000+0200}, address = {New York}, author = {Abramowitz, Milton and Stegun, Irene A.}, @@ -32,11 +30,21 @@ year = 1972 } -@article{Cassity1965AbcissasCA, +@article{laguerre:Cassity1965AbcissasCA, title={Abcissas, coefficients, and error term for the generalized Gauss-Laguerre quadrature formula using the zero ordinate}, author={C. Ronald Cassity}, journal={Mathematics of Computation}, year={1965}, volume={19}, pages={287-296} +} + +@online{laguerre:lanczos, + title = {Lanczos Approximation}, + author={Eric W. Weisstein}, + url = {https://mathworld.wolfram.com/LanczosApproximation.html}, + date = {2022-07-18}, + year = {2022}, + month = {7}, + day = {18} } \ No newline at end of file diff --git a/buch/papers/laguerre/scripts/gamma_approx.py b/buch/papers/laguerre/scripts/gamma_approx.py index 9f9dae7..5b09e59 100644 --- a/buch/papers/laguerre/scripts/gamma_approx.py +++ b/buch/papers/laguerre/scripts/gamma_approx.py @@ -7,6 +7,7 @@ EPSILON = 1e-7 root = str(Path(__file__).parent) img_path = f"{root}/../images" fontsize = "medium" +cmap = "plasma" def _prep_zeros_and_weights(x, w, n): diff --git a/buch/papers/laguerre/scripts/rel_error_complex.py b/buch/papers/laguerre/scripts/rel_error_complex.py index 5be79be..4a714fa 100644 --- a/buch/papers/laguerre/scripts/rel_error_complex.py +++ b/buch/papers/laguerre/scripts/rel_error_complex.py @@ -24,9 +24,9 @@ if __name__ == "__main__": lag = ga.eval_laguerre_gamma(input, n=8, func="optimal_shifted").reshape(mesh.shape) rel_error = np.abs(ga.calc_rel_error(lanczos, lag)) - fig, ax = plt.subplots(clear=True, constrained_layout=True, figsize=(4, 2.4)) + fig, ax = plt.subplots(clear=True, constrained_layout=True, figsize=(3.5, 2.1)) _c = ax.pcolormesh( - x, y, rel_error, shading="gouraud", cmap="inferno", norm=mpl.colors.LogNorm() + x, y, rel_error, shading="gouraud", cmap=ga.cmap, norm=mpl.colors.LogNorm() ) cbr = fig.colorbar(_c, ax=ax) cbr.minorticks_off() diff --git a/buch/papers/laguerre/scripts/rel_error_range.py b/buch/papers/laguerre/scripts/rel_error_range.py index 43b5450..ece3b6d 100644 --- a/buch/papers/laguerre/scripts/rel_error_range.py +++ b/buch/papers/laguerre/scripts/rel_error_range.py @@ -21,7 +21,7 @@ if __name__ == "__main__": x = np.linspace(xmin + ga.EPSILON, xmax - ga.EPSILON, N) gamma = scipy.special.gamma(x) - fig, ax = plt.subplots(num=1, clear=True, constrained_layout=True, figsize=(5, 2.5)) + fig, ax = plt.subplots(num=1, clear=True, constrained_layout=True, figsize=(5, 2)) for n in ns: gamma_lag = ga.eval_laguerre_gamma(x, n=n, func="optimal_shifted") rel_err = ga.calc_rel_error(gamma, gamma_lag) diff --git a/buch/papers/laguerre/scripts/rel_error_shifted.py b/buch/papers/laguerre/scripts/rel_error_shifted.py index dc9d177..f53c89b 100644 --- a/buch/papers/laguerre/scripts/rel_error_shifted.py +++ b/buch/papers/laguerre/scripts/rel_error_shifted.py @@ -20,7 +20,7 @@ if __name__ == "__main__": x = np.linspace(step, 1 - step, N + 1) targets = np.arange(10, 14) gamma = scipy.special.gamma(x) - fig, ax = plt.subplots(num=1, clear=True, constrained_layout=True, figsize=(5, 2.5)) + fig, ax = plt.subplots(num=1, clear=True, constrained_layout=True, figsize=(5, 2.1)) for target in targets: gamma_lag = ga.eval_laguerre_gamma(x, target=target, n=n, func="shifted") rel_error = np.abs(ga.calc_rel_error(gamma, gamma_lag)) diff --git a/buch/papers/laguerre/scripts/targets.py b/buch/papers/laguerre/scripts/targets.py index 206b3a1..3bc7f52 100644 --- a/buch/papers/laguerre/scripts/targets.py +++ b/buch/papers/laguerre/scripts/targets.py @@ -42,8 +42,8 @@ if __name__ == "__main__": bests = find_best_loc(N, ns=ns) - fig, ax = plt.subplots(num=1, clear=True, constrained_layout=True, figsize=(4, 2.4)) - v = ax.imshow(bests, cmap="inferno", aspect="auto", interpolation="nearest") + fig, ax = plt.subplots(num=1, clear=True, constrained_layout=True, figsize=(3.5, 2.1)) + v = ax.imshow(bests, cmap=ga.cmap, aspect="auto", interpolation="nearest") plt.colorbar(v, ax=ax, label=r"$m^*$") ticks = np.arange(0, N + 1, N // 5) ax.set_xlim(0, 1) -- cgit v1.2.1 From b7b2af20f16f6a5beac602046572067c462e5ff7 Mon Sep 17 00:00:00 2001 From: Kuster Yanik Date: Mon, 18 Jul 2022 20:03:57 +0200 Subject: Created some helpful graphics --- buch/papers/lambertw/Bilder/Strategie.png | Bin 0 -> 11049 bytes buch/papers/lambertw/Bilder/pursuerDGL.ggb | Bin 0 -> 36225 bytes buch/papers/lambertw/Bilder/pursuerDGL.svg | 1 + buch/papers/lambertw/Bilder/pursuerDGL2.ggb | Bin 0 -> 36225 bytes buch/papers/lambertw/Bilder/pursuerDGL2.svg | 1 + 5 files changed, 2 insertions(+) create mode 100644 buch/papers/lambertw/Bilder/Strategie.png create mode 100644 buch/papers/lambertw/Bilder/pursuerDGL.ggb create mode 100644 buch/papers/lambertw/Bilder/pursuerDGL.svg create mode 100644 buch/papers/lambertw/Bilder/pursuerDGL2.ggb create mode 100644 buch/papers/lambertw/Bilder/pursuerDGL2.svg (limited to 'buch/papers') diff --git a/buch/papers/lambertw/Bilder/Strategie.png b/buch/papers/lambertw/Bilder/Strategie.png new file mode 100644 index 0000000..e78abd3 Binary files /dev/null and b/buch/papers/lambertw/Bilder/Strategie.png differ diff --git a/buch/papers/lambertw/Bilder/pursuerDGL.ggb b/buch/papers/lambertw/Bilder/pursuerDGL.ggb new file mode 100644 index 0000000..3fb3a78 Binary files /dev/null and b/buch/papers/lambertw/Bilder/pursuerDGL.ggb differ diff --git a/buch/papers/lambertw/Bilder/pursuerDGL.svg b/buch/papers/lambertw/Bilder/pursuerDGL.svg new file mode 100644 index 0000000..d91e5e1 --- /dev/null +++ b/buch/papers/lambertw/Bilder/pursuerDGL.svg @@ -0,0 +1 @@ +–0.7–0.7–0.7–0.6–0.6–0.6–0.5–0.5–0.5–0.4–0.4–0.4–0.3–0.3–0.3–0.2–0.2–0.2–0.1–0.1–0.10.10.10.10.20.20.20.30.30.30.40.40.40.50.50.50.60.60.60.70.70.70.80.80.80.90.90.91111.11.11.11.21.21.21.31.31.31.41.41.41.51.51.51.61.61.61.71.71.71.81.81.81.91.91.92222.12.12.12.22.22.22.32.32.32.42.42.42.52.52.52.62.62.62.72.72.72.82.82.82.92.92.93333.13.13.13.23.23.23.33.33.30.10.10.10.20.20.20.30.30.30.40.40.40.50.50.50.60.60.60.70.70.70.80.80.80.90.90.91111.11.11.11.21.21.21.31.31.31.41.41.41.51.51.51.61.61.61.71.71.71.81.81.81.91.91.92222.12.12.12.22.22.22.32.32.32.42.42.4000AOAOAOPOPOPOPAPAPAPPPAAA \ No newline at end of file diff --git a/buch/papers/lambertw/Bilder/pursuerDGL2.ggb b/buch/papers/lambertw/Bilder/pursuerDGL2.ggb new file mode 100644 index 0000000..5bd816c Binary files /dev/null and b/buch/papers/lambertw/Bilder/pursuerDGL2.ggb differ diff --git a/buch/papers/lambertw/Bilder/pursuerDGL2.svg b/buch/papers/lambertw/Bilder/pursuerDGL2.svg new file mode 100644 index 0000000..0c4a11d --- /dev/null +++ b/buch/papers/lambertw/Bilder/pursuerDGL2.svg @@ -0,0 +1 @@ +–0.2–0.20.20.20.40.40.60.60.80.8111.21.21.41.41.61.61.81.8222.22.22.42.42.62.62.82.8333.23.2–0.2–0.20.20.20.40.40.60.60.80.8111.21.21.41.41.61.61.81.8222.22.22.42.42.62.62.82.83300Visierlinie \ No newline at end of file -- cgit v1.2.1 From 1badf707f9ebd0642bb6a1d282059b6e867a44af Mon Sep 17 00:00:00 2001 From: Kuster Yanik Date: Mon, 18 Jul 2022 20:06:05 +0200 Subject: rearranged the introduction --- buch/papers/lambertw/Bilder/something.svg | 1 - buch/papers/lambertw/teil0.tex | 67 +++++++++++++++++++++++++++++-- buch/papers/lambertw/teil1.tex | 2 +- buch/papers/lambertw/teil2.tex | 39 ++++-------------- 4 files changed, 72 insertions(+), 37 deletions(-) delete mode 100644 buch/papers/lambertw/Bilder/something.svg (limited to 'buch/papers') diff --git a/buch/papers/lambertw/Bilder/something.svg b/buch/papers/lambertw/Bilder/something.svg deleted file mode 100644 index e9d5656..0000000 --- a/buch/papers/lambertw/Bilder/something.svg +++ /dev/null @@ -1 +0,0 @@ -–4–4–4–3–3–3–2–2–2–1–1–1111222333444555666777888999101010111111–5–5–5–4–4–4–3–3–3–2–2–2–1–1–1111222333444555666777888000OAOAOAOPOPOPPAPAPAPPPAAA \ No newline at end of file diff --git a/buch/papers/lambertw/teil0.tex b/buch/papers/lambertw/teil0.tex index ca172e5..f174ccb 100644 --- a/buch/papers/lambertw/teil0.tex +++ b/buch/papers/lambertw/teil0.tex @@ -3,14 +3,73 @@ % % (c) 2020 Prof Dr Andreas Müller, Hochschule Rapperswil % -\section{Was sind Verfolgungskurven? \label{lambertw:section:teil0}} +\section{Was sind Verfolgungskurven? +\label{lambertw:section:teil0}} \rhead{Teil 0} +Verfolgungskurven tauchen oft auf bei fragen wie, welchen Pfad begeht ein Hund während er einer Katze nachrennt. Ein solches Problem hat im Kern immer ein Verfolger und sein Ziel. Der Verfolger versucht sein Ziel zu ergattern und das Ziel versucht zu entkommen. Der Pfad, der der Verfolger während der Verfolgung begeht, wird Verfolgungskurve genannt. Um diese Kurve zu bestimmen, kann das Verfolgungsproblem als DGL formuliert werden. Diese DGL entspringt der Verfolgungsstrategie des Verfolgers. -Verfolgungskurven entstehen immer, dann wenn ein Verfolger sein Ziel verfolgt. -Nämlich ist eine Verfolgungskurve die Kurve, die ein Verfolger abfährt während er sein Ziel verfolgt. -Zum Beispiel +\subsection{Verfolger und Verfolgungsstrategie +\label{lambertw:subsection:Verfolger}} +Wie bereits erwähnt, wird der Verfolger durch seine Verfolgungsstrategie definiert. Wir nehmen an, dass sich der Verfolger stur an eine Verfolgungsstrategie hält. Dabei gibt es viele mögliche Strategien, die der Verfolger wählen könnte. Die möglichen Strategien entstehen durch Festlegung einzelner Parameter, die der Verfolger kontrollieren kann. Der Verfolger hat nur einen direkten Einfluss auf seinen Geschwindigkeitsvektor. Mit diesem kann er neben Richtung und Betrag auch den Abstand zwischen Verfolger und Ziel kontrollieren. Wenn zwei dieser drei Parameter durch die Strategie definiert werden, ist der dritte nicht mehr frei. Daraus folgt, dass eine Strategie zwei dieser drei Parameter festlegen muss, um den Verfolger komplett zu beschreiben. + +\begin{tabular}{|>{$}l<{$}|>{$}l<{$}|>{$}c<{$}|>{$}c<{$}|>{$}c<{$}|>{$}c<{$}|} + \hline + \text{}&\text{Geschwindigkeit}&\text{Abstand}&\text{Richtung}\\ + \hline + \text{Strategie 1} + & \text{konstant} & \text{-} & \text{direkt auf Ziel hinzu}\\ + + \text{Strategie 2} + & \text{-} & \text{konstant} & \text{direkt auf Ziel hinzu}\\ + + \text{Strategie 3} + & \text{konstant} & \text{-} & \text{etwas voraus Zielen}\\ + \hline +\label{lambertw:Strategien} +\end{tabular} + +In der Tabelle \eqref{lambertw:Strategien} sind drei mögliche Strategien aufgezählt. Folgend wird nur noch auf die Strategie 1 eingegangen. Bei dieser Strategie ist die Geschwindigkeit konstant und der Verfolger bewegt sich immer direkt auf sein Ziel hinzu. In der Grafik \eqref{lambertw:pursuerDGL2} ist das Problem dargestellt. Wobei $\overrightarrow{V}$ der Ortsvektor des Verfolgers, $\overrightarrow{Z}$ der Ortsvektor des Ziels und $\overrightarrow{\dot{V}}$ der Richtungsvektor des Verfolgers ist. Die konstante Geschwindigkeit kann man mit der Gleichung +\begin{equation} + |\overrightarrow{\dot{V}}| + = + konst = A + \quad|A\in\mathbb{R}>0 +\end{equation} +darstellen. Der Richtungsvektor wiederum kann mit der Gleichung +\begin{equation} + \frac{\overrightarrow{Z}-\overrightarrow{V}}{|\overrightarrow{Z}-\overrightarrow{V}|} + = + \frac{\overrightarrow{\dot{V}}}{|\overrightarrow{\dot{V}}|} +\end{equation} +beschrieben werden. Durch die Subtraktion der Ortsvektoren $\overrightarrow{V}$ und $\overrightarrow{Z}$ entsteht ein Vektor der vom Punkt $V$ auf $Z$ zeigt. Da die Länge dieses Vektors beliebig sein kann, wird durch Division mit dem Betrag, die Länge auf eins festgelegt. +Aus dem Verfolgungsproblem ist auch ersichtlich, dass die Punkte $V$ und $Z$ nicht am gleichen Ort starten und so eine Division durch Null ausgeschlossen ist. Wenn die Punkte $V$ und $Z$ trotzdem am gleichen Ort starten, ist die Lösung trivial. +Nun wird die Gleichung mit deren rechten Seite skalar multipliziert, um das Gleichungssystem von zwei auf eine Gleichung zu reduzieren. +\begin{equation} + \label{pursuer:pursuerDGL} + \frac{\overrightarrow{Z}-\overrightarrow{V}}{|\overrightarrow{Z}-\overrightarrow{V}|}\cdot \frac{\overrightarrow{\dot{V}}}{|\overrightarrow{\dot{V}}|} + = + 1 +\end{equation} +Diese DGL ist der Kern des Verfolgungsproblems, insofern sich der Verfolger immer direkt auf sein Ziel zubewegt. + + + + + +\subsection{Ziel +\label{lambertw:subsection:Ziel}} +Als nächstes gehen wir auf das Ziel ein. Wie der Verfolger wird auch unser Ziel sich strikt an eine Fluchtstrategie halten, welche von Anfang an bekannt ist. Diese Strategie kann als Parameterdarstellung der Position nach der Zeit beschrieben werden. Zum Beispiel könnte ein Ziel auf einer Geraden flüchten, welches auf einer Ebene mit der Parametrisierung +\begin{equation} + \vec{r}(t) + = + \begin{Bmatrix} + 0\\ + t + \end{Bmatrix} +\end{equation} +beschrieben werden könnte. diff --git a/buch/papers/lambertw/teil1.tex b/buch/papers/lambertw/teil1.tex index 493ec05..cc4a62a 100644 --- a/buch/papers/lambertw/teil1.tex +++ b/buch/papers/lambertw/teil1.tex @@ -3,7 +3,7 @@ % % (c) 2020 Prof Dr Andreas Müller, Hochschule Rapperswil % -\section{Beispiel () +\section{Ziel \label{lambertw:section:teil1}} \rhead{Problemstellung} diff --git a/buch/papers/lambertw/teil2.tex b/buch/papers/lambertw/teil2.tex index 9d840ab..c95511a 100644 --- a/buch/papers/lambertw/teil2.tex +++ b/buch/papers/lambertw/teil2.tex @@ -3,38 +3,15 @@ % % (c) 2020 Prof Dr Andreas Müller, Hochschule Rapperswil % -\section{Teil 2 -\label{lambertw:section:teil2}} +\section{Verfolger +\label{lambertw:section:Verfolger}} \rhead{Teil 2} -Sed ut perspiciatis unde omnis iste natus error sit voluptatem -accusantium doloremque laudantium, totam rem aperiam, eaque ipsa -quae ab illo inventore veritatis et quasi architecto beatae vitae -dicta sunt explicabo. Nemo enim ipsam voluptatem quia voluptas sit -aspernatur aut odit aut fugit, sed quia consequuntur magni dolores -eos qui ratione voluptatem sequi nesciunt. Neque porro quisquam -est, qui dolorem ipsum quia dolor sit amet, consectetur, adipisci -velit, sed quia non numquam eius modi tempora incidunt ut labore -et dolore magnam aliquam quaerat voluptatem. Ut enim ad minima -veniam, quis nostrum exercitationem ullam corporis suscipit laboriosam, -nisi ut aliquid ex ea commodi consequatur? Quis autem vel eum iure -reprehenderit qui in ea voluptate velit esse quam nihil molestiae -consequatur, vel illum qui dolorem eum fugiat quo voluptas nulla -pariatur? -\subsection{De finibus bonorum et malorum -\label{lambertw:subsection:bonorum}} -At vero eos et accusamus et iusto odio dignissimos ducimus qui -blanditiis praesentium voluptatum deleniti atque corrupti quos -dolores et quas molestias excepturi sint occaecati cupiditate non -provident, similique sunt in culpa qui officia deserunt mollitia -animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis -est et expedita distinctio. Nam libero tempore, cum soluta nobis -est eligendi optio cumque nihil impedit quo minus id quod maxime -placeat facere possimus, omnis voluptas assumenda est, omnis dolor -repellendus. Temporibus autem quibusdam et aut officiis debitis aut -rerum necessitatibus saepe eveniet ut et voluptates repudiandae -sint et molestiae non recusandae. Itaque earum rerum hic tenetur a -sapiente delectus, ut aut reiciendis voluptatibus maiores alias -consequatur aut perferendis doloribus asperiores repellat. +\subsection{Strategie 1 +\label{lambertw:subsection:Strategie1}} + + +\subsection{Strategie 2 +\label{lambertw:subsection:Strategie2}} -- cgit v1.2.1 From f0ff46df0f4c212b44cbed4c01ad357c75f0bdbb Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Patrik=20M=C3=BCller?= Date: Tue, 19 Jul 2022 07:40:48 +0200 Subject: Fix typos in gamma.tex and quadratur.tex --- buch/papers/laguerre/gamma.tex | 2 +- buch/papers/laguerre/quadratur.tex | 9 +++++---- 2 files changed, 6 insertions(+), 5 deletions(-) (limited to 'buch/papers') diff --git a/buch/papers/laguerre/gamma.tex b/buch/papers/laguerre/gamma.tex index eb64fa2..b76daeb 100644 --- a/buch/papers/laguerre/gamma.tex +++ b/buch/papers/laguerre/gamma.tex @@ -245,7 +245,7 @@ Für negative $z$ ergeben sich immer noch Singularitäten, wenn $x \rightarrow 0$. Um $1$ wächst der Term $x^z$ schneller als die Dämpfung $e^{-x}$, aber für $x \rightarrow \infty$ geht der Integrand gegen $0$. -Das führt zu Glockenförmigen Kurven, +Das führt zu glockenförmigen Kurven, die für grosse Exponenten $z$ nach der Stelle $x=1$ schnell anwachsen. Zu grosse Exponenten $z$ sind also immer noch problematisch. Kleine positive $z$ scheinen nun also auch zulässig zu sein. diff --git a/buch/papers/laguerre/quadratur.tex b/buch/papers/laguerre/quadratur.tex index 4ca6913..75858df 100644 --- a/buch/papers/laguerre/quadratur.tex +++ b/buch/papers/laguerre/quadratur.tex @@ -41,10 +41,11 @@ x = a + \frac{1 - t}{t} \end{align*} -auf das Intervall $[0, 1]$ transformiert. -Für unser Fall gilt $a = 0$. +auf das Intervall $[0, 1]$ transformiert, +kann dies behoben werden. +Für unseren Fall gilt $a = 0$. Das Integral eines Polynomes in diesem Intervall ist immer divergent, -darum müssen wir sie mit einer Funktion multiplizieren, +darum müssen wir das Polynome mit einer Funktion multiplizieren, die schneller als jedes Polynom gegen $0$ geht, damit das Integral immer noch konvergiert. Die Laguerre-Polynome $L_n$ bieten hier Abhilfe, @@ -76,7 +77,7 @@ l_i(x_j) = \begin{cases} 1 & i=j \\ -0 & \text{.} +0 & \text{sonst} \end{cases} % . \end{align*} -- cgit v1.2.1 From 2b3fb7f75fd66876ed1a1d77f4fd0b16a6dfe772 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Patrik=20M=C3=BCller?= Date: Tue, 19 Jul 2022 08:06:58 +0200 Subject: Add missing files --- buch/papers/laguerre/images/gammapaths.tex | 1024 ++++++++++++++++++++++++++++ buch/papers/laguerre/images/gammaplot.tex | 73 ++ buch/papers/laguerre/quadratur.tex | 2 +- 3 files changed, 1098 insertions(+), 1 deletion(-) create mode 100644 buch/papers/laguerre/images/gammapaths.tex create mode 100644 buch/papers/laguerre/images/gammaplot.tex (limited to 'buch/papers') diff --git a/buch/papers/laguerre/images/gammapaths.tex b/buch/papers/laguerre/images/gammapaths.tex new file mode 100644 index 0000000..efa0863 --- /dev/null +++ b/buch/papers/laguerre/images/gammapaths.tex @@ -0,0 +1,1024 @@ +\def\gammaplus{({\dx*0.0190},{\dy*52.0728}) + -- ({\dx*0.0200},{\dy*49.4422}) + -- ({\dx*0.0400},{\dy*24.4610}) + -- ({\dx*0.0600},{\dy*16.1457}) + -- ({\dx*0.0800},{\dy*11.9966}) + -- ({\dx*0.1000},{\dy*9.5135}) + -- ({\dx*0.1200},{\dy*7.8633}) + -- ({\dx*0.1400},{\dy*6.6887}) + -- ({\dx*0.1600},{\dy*5.8113}) + -- ({\dx*0.1800},{\dy*5.1318}) + -- ({\dx*0.2000},{\dy*4.5908}) + -- ({\dx*0.2200},{\dy*4.1505}) + -- ({\dx*0.2400},{\dy*3.7855}) + -- ({\dx*0.2600},{\dy*3.4785}) + -- ({\dx*0.2800},{\dy*3.2169}) + -- ({\dx*0.3000},{\dy*2.9916}) + -- ({\dx*0.3200},{\dy*2.7958}) + -- ({\dx*0.3400},{\dy*2.6242}) + -- ({\dx*0.3600},{\dy*2.4727}) + -- ({\dx*0.3800},{\dy*2.3383}) + -- ({\dx*0.4000},{\dy*2.2182}) + -- ({\dx*0.4200},{\dy*2.1104}) + -- ({\dx*0.4400},{\dy*2.0132}) + -- ({\dx*0.4600},{\dy*1.9252}) + -- ({\dx*0.4800},{\dy*1.8453}) + -- ({\dx*0.5000},{\dy*1.7725}) + -- ({\dx*0.5200},{\dy*1.7058}) + -- ({\dx*0.5400},{\dy*1.6448}) + -- ({\dx*0.5600},{\dy*1.5886}) + -- ({\dx*0.5800},{\dy*1.5369}) + -- ({\dx*0.6000},{\dy*1.4892}) + -- ({\dx*0.6200},{\dy*1.4450}) + -- ({\dx*0.6400},{\dy*1.4041}) + -- ({\dx*0.6600},{\dy*1.3662}) + -- ({\dx*0.6800},{\dy*1.3309}) + -- ({\dx*0.7000},{\dy*1.2981}) + -- ({\dx*0.7200},{\dy*1.2675}) + -- ({\dx*0.7400},{\dy*1.2390}) + -- ({\dx*0.7600},{\dy*1.2123}) + -- ({\dx*0.7800},{\dy*1.1875}) + -- ({\dx*0.8000},{\dy*1.1642}) + -- ({\dx*0.8200},{\dy*1.1425}) + -- ({\dx*0.8400},{\dy*1.1222}) + -- ({\dx*0.8600},{\dy*1.1031}) + -- ({\dx*0.8800},{\dy*1.0853}) + -- ({\dx*0.9000},{\dy*1.0686}) + -- ({\dx*0.9200},{\dy*1.0530}) + -- ({\dx*0.9400},{\dy*1.0384}) + -- ({\dx*0.9600},{\dy*1.0247}) + -- ({\dx*0.9800},{\dy*1.0119}) + -- ({\dx*1.0000},{\dy*1.0000}) + -- ({\dx*1.0200},{\dy*0.9888}) + -- ({\dx*1.0400},{\dy*0.9784}) + -- ({\dx*1.0600},{\dy*0.9687}) + -- ({\dx*1.0800},{\dy*0.9597}) + -- ({\dx*1.1000},{\dy*0.9514}) + -- ({\dx*1.1200},{\dy*0.9436}) + -- ({\dx*1.1400},{\dy*0.9364}) + -- ({\dx*1.1600},{\dy*0.9298}) + -- ({\dx*1.1800},{\dy*0.9237}) + -- ({\dx*1.2000},{\dy*0.9182}) + -- ({\dx*1.2200},{\dy*0.9131}) + -- ({\dx*1.2400},{\dy*0.9085}) + -- ({\dx*1.2600},{\dy*0.9044}) + -- ({\dx*1.2800},{\dy*0.9007}) + -- ({\dx*1.3000},{\dy*0.8975}) + -- ({\dx*1.3200},{\dy*0.8946}) + -- ({\dx*1.3400},{\dy*0.8922}) + -- ({\dx*1.3600},{\dy*0.8902}) + -- ({\dx*1.3800},{\dy*0.8885}) + -- ({\dx*1.4000},{\dy*0.8873}) + -- ({\dx*1.4200},{\dy*0.8864}) + -- ({\dx*1.4400},{\dy*0.8858}) + -- ({\dx*1.4600},{\dy*0.8856}) + -- ({\dx*1.4800},{\dy*0.8857}) + -- ({\dx*1.5000},{\dy*0.8862}) + -- ({\dx*1.5200},{\dy*0.8870}) + -- ({\dx*1.5400},{\dy*0.8882}) + -- ({\dx*1.5600},{\dy*0.8896}) + -- ({\dx*1.5800},{\dy*0.8914}) + -- ({\dx*1.6000},{\dy*0.8935}) + -- ({\dx*1.6200},{\dy*0.8959}) + -- ({\dx*1.6400},{\dy*0.8986}) + -- ({\dx*1.6600},{\dy*0.9017}) + -- ({\dx*1.6800},{\dy*0.9050}) + -- ({\dx*1.7000},{\dy*0.9086}) + -- ({\dx*1.7200},{\dy*0.9126}) + -- ({\dx*1.7400},{\dy*0.9168}) + -- ({\dx*1.7600},{\dy*0.9214}) + -- ({\dx*1.7800},{\dy*0.9262}) + -- ({\dx*1.8000},{\dy*0.9314}) + -- ({\dx*1.8200},{\dy*0.9368}) + -- ({\dx*1.8400},{\dy*0.9426}) + -- ({\dx*1.8600},{\dy*0.9487}) + -- ({\dx*1.8800},{\dy*0.9551}) + -- ({\dx*1.9000},{\dy*0.9618}) + -- ({\dx*1.9200},{\dy*0.9688}) + -- ({\dx*1.9400},{\dy*0.9761}) + -- ({\dx*1.9600},{\dy*0.9837}) + -- ({\dx*1.9800},{\dy*0.9917}) + -- ({\dx*2.0000},{\dy*1.0000}) + -- ({\dx*2.0200},{\dy*1.0086}) + -- ({\dx*2.0400},{\dy*1.0176}) + -- ({\dx*2.0600},{\dy*1.0269}) + -- ({\dx*2.0800},{\dy*1.0365}) + -- ({\dx*2.1000},{\dy*1.0465}) + -- ({\dx*2.1200},{\dy*1.0568}) + -- ({\dx*2.1400},{\dy*1.0675}) + -- ({\dx*2.1600},{\dy*1.0786}) + -- ({\dx*2.1800},{\dy*1.0900}) + -- ({\dx*2.2000},{\dy*1.1018}) + -- ({\dx*2.2200},{\dy*1.1140}) + -- ({\dx*2.2400},{\dy*1.1266}) + -- ({\dx*2.2600},{\dy*1.1395}) + -- ({\dx*2.2800},{\dy*1.1529}) + -- ({\dx*2.3000},{\dy*1.1667}) + -- ({\dx*2.3200},{\dy*1.1809}) + -- ({\dx*2.3400},{\dy*1.1956}) + -- ({\dx*2.3600},{\dy*1.2107}) + -- ({\dx*2.3800},{\dy*1.2262}) + -- ({\dx*2.4000},{\dy*1.2422}) + -- ({\dx*2.4200},{\dy*1.2586}) + -- ({\dx*2.4400},{\dy*1.2756}) + -- ({\dx*2.4600},{\dy*1.2930}) + -- ({\dx*2.4800},{\dy*1.3109}) + -- ({\dx*2.5000},{\dy*1.3293}) + -- ({\dx*2.5200},{\dy*1.3483}) + -- ({\dx*2.5400},{\dy*1.3678}) + -- ({\dx*2.5600},{\dy*1.3878}) + -- ({\dx*2.5800},{\dy*1.4084}) + -- ({\dx*2.6000},{\dy*1.4296}) + -- ({\dx*2.6200},{\dy*1.4514}) + -- ({\dx*2.6400},{\dy*1.4738}) + -- ({\dx*2.6600},{\dy*1.4968}) + -- ({\dx*2.6800},{\dy*1.5204}) + -- ({\dx*2.7000},{\dy*1.5447}) + -- ({\dx*2.7200},{\dy*1.5696}) + -- ({\dx*2.7400},{\dy*1.5953}) + -- ({\dx*2.7600},{\dy*1.6216}) + -- ({\dx*2.7800},{\dy*1.6487}) + -- ({\dx*2.8000},{\dy*1.6765}) + -- ({\dx*2.8200},{\dy*1.7051}) + -- ({\dx*2.8400},{\dy*1.7344}) + -- ({\dx*2.8600},{\dy*1.7646}) + -- ({\dx*2.8800},{\dy*1.7955}) + -- ({\dx*2.9000},{\dy*1.8274}) + -- ({\dx*2.9200},{\dy*1.8600}) + -- ({\dx*2.9400},{\dy*1.8936}) + -- ({\dx*2.9600},{\dy*1.9281}) + -- ({\dx*2.9800},{\dy*1.9636}) + -- ({\dx*3.0000},{\dy*2.0000}) + -- ({\dx*3.0200},{\dy*2.0374}) + -- ({\dx*3.0400},{\dy*2.0759}) + -- ({\dx*3.0600},{\dy*2.1153}) + -- ({\dx*3.0800},{\dy*2.1559}) + -- ({\dx*3.1000},{\dy*2.1976}) + -- ({\dx*3.1200},{\dy*2.2405}) + -- ({\dx*3.1400},{\dy*2.2845}) + -- ({\dx*3.1600},{\dy*2.3297}) + -- ({\dx*3.1800},{\dy*2.3762}) + -- ({\dx*3.2000},{\dy*2.4240}) + -- ({\dx*3.2200},{\dy*2.4731}) + -- ({\dx*3.2400},{\dy*2.5235}) + -- ({\dx*3.2600},{\dy*2.5754}) + -- ({\dx*3.2800},{\dy*2.6287}) + -- ({\dx*3.3000},{\dy*2.6834}) + -- ({\dx*3.3200},{\dy*2.7397}) + -- ({\dx*3.3400},{\dy*2.7976}) + -- ({\dx*3.3600},{\dy*2.8571}) + -- ({\dx*3.3800},{\dy*2.9183}) + -- ({\dx*3.4000},{\dy*2.9812}) + -- ({\dx*3.4200},{\dy*3.0459}) + -- ({\dx*3.4400},{\dy*3.1124}) + -- ({\dx*3.4600},{\dy*3.1807}) + -- ({\dx*3.4800},{\dy*3.2510}) + -- ({\dx*3.5000},{\dy*3.3234}) + -- ({\dx*3.5200},{\dy*3.3977}) + -- ({\dx*3.5400},{\dy*3.4742}) + -- ({\dx*3.5600},{\dy*3.5529}) + -- ({\dx*3.5800},{\dy*3.6338}) + -- ({\dx*3.6000},{\dy*3.7170}) + -- ({\dx*3.6200},{\dy*3.8027}) + -- ({\dx*3.6400},{\dy*3.8908}) + -- ({\dx*3.6600},{\dy*3.9814}) + -- ({\dx*3.6800},{\dy*4.0747}) + -- ({\dx*3.7000},{\dy*4.1707}) + -- ({\dx*3.7200},{\dy*4.2694}) + -- ({\dx*3.7400},{\dy*4.3711}) + -- ({\dx*3.7600},{\dy*4.4757}) + -- ({\dx*3.7800},{\dy*4.5833}) + -- ({\dx*3.8000},{\dy*4.6942}) + -- ({\dx*3.8200},{\dy*4.8083}) + -- ({\dx*3.8400},{\dy*4.9257}) + -- ({\dx*3.8600},{\dy*5.0466}) + -- ({\dx*3.8800},{\dy*5.1711}) + -- ({\dx*3.9000},{\dy*5.2993}) + -- ({\dx*3.9200},{\dy*5.4313}) + -- ({\dx*3.9400},{\dy*5.5673}) + -- ({\dx*3.9600},{\dy*5.7073}) + -- ({\dx*3.9800},{\dy*5.8515}) + -- ({\dx*4.0000},{\dy*6.0000}) + -- ({\dx*4.0200},{\dy*6.1530}) + -- ({\dx*4.0400},{\dy*6.3106}) + -- ({\dx*4.0600},{\dy*6.4730}) + -- ({\dx*4.0800},{\dy*6.6403}) + -- ({\dx*4.0810},{\dy*6.6488})} +\def\gammaone{({\dx*-0.9810},{\dy*-53.0814}) + -- ({\dx*-0.9800},{\dy*-50.4512}) + -- ({\dx*-0.9600},{\dy*-25.4802}) + -- ({\dx*-0.9400},{\dy*-17.1763}) + -- ({\dx*-0.9200},{\dy*-13.0397}) + -- ({\dx*-0.9000},{\dy*-10.5706}) + -- ({\dx*-0.8800},{\dy*-8.9355}) + -- ({\dx*-0.8600},{\dy*-7.7775}) + -- ({\dx*-0.8400},{\dy*-6.9182}) + -- ({\dx*-0.8200},{\dy*-6.2583}) + -- ({\dx*-0.8000},{\dy*-5.7386}) + -- ({\dx*-0.7800},{\dy*-5.3211}) + -- ({\dx*-0.7600},{\dy*-4.9809}) + -- ({\dx*-0.7400},{\dy*-4.7006}) + -- ({\dx*-0.7200},{\dy*-4.4678}) + -- ({\dx*-0.7000},{\dy*-4.2737}) + -- ({\dx*-0.6800},{\dy*-4.1114}) + -- ({\dx*-0.6600},{\dy*-3.9760}) + -- ({\dx*-0.6400},{\dy*-3.8636}) + -- ({\dx*-0.6200},{\dy*-3.7714}) + -- ({\dx*-0.6000},{\dy*-3.6969}) + -- ({\dx*-0.5800},{\dy*-3.6386}) + -- ({\dx*-0.5600},{\dy*-3.5950}) + -- ({\dx*-0.5400},{\dy*-3.5652}) + -- ({\dx*-0.5200},{\dy*-3.5487}) + -- ({\dx*-0.5000},{\dy*-3.5449}) + -- ({\dx*-0.4800},{\dy*-3.5538}) + -- ({\dx*-0.4600},{\dy*-3.5756}) + -- ({\dx*-0.4400},{\dy*-3.6105}) + -- ({\dx*-0.4200},{\dy*-3.6594}) + -- ({\dx*-0.4000},{\dy*-3.7230}) + -- ({\dx*-0.3800},{\dy*-3.8027}) + -- ({\dx*-0.3600},{\dy*-3.9004}) + -- ({\dx*-0.3400},{\dy*-4.0181}) + -- ({\dx*-0.3200},{\dy*-4.1590}) + -- ({\dx*-0.3000},{\dy*-4.3269}) + -- ({\dx*-0.2800},{\dy*-4.5267}) + -- ({\dx*-0.2600},{\dy*-4.7652}) + -- ({\dx*-0.2400},{\dy*-5.0514}) + -- ({\dx*-0.2200},{\dy*-5.3976}) + -- ({\dx*-0.2000},{\dy*-5.8211}) + -- ({\dx*-0.1800},{\dy*-6.3472}) + -- ({\dx*-0.1600},{\dy*-7.0135}) + -- ({\dx*-0.1400},{\dy*-7.8795}) + -- ({\dx*-0.1200},{\dy*-9.0442}) + -- ({\dx*-0.1000},{\dy*-10.6863}) + -- ({\dx*-0.0800},{\dy*-13.1627}) + -- ({\dx*-0.0600},{\dy*-17.3067}) + -- ({\dx*-0.0400},{\dy*-25.6183}) + -- ({\dx*-0.0200},{\dy*-50.5974}) + -- ({\dx*-0.0190},{\dy*-53.2279})} +\def\gammatwo{({\dx*-1.9810},{\dy*26.7952}) + -- ({\dx*-1.9800},{\dy*25.4804}) + -- ({\dx*-1.9600},{\dy*13.0001}) + -- ({\dx*-1.9400},{\dy*8.8538}) + -- ({\dx*-1.9200},{\dy*6.7915}) + -- ({\dx*-1.9000},{\dy*5.5635}) + -- ({\dx*-1.8800},{\dy*4.7529}) + -- ({\dx*-1.8600},{\dy*4.1815}) + -- ({\dx*-1.8400},{\dy*3.7599}) + -- ({\dx*-1.8200},{\dy*3.4386}) + -- ({\dx*-1.8000},{\dy*3.1881}) + -- ({\dx*-1.7800},{\dy*2.9894}) + -- ({\dx*-1.7600},{\dy*2.8301}) + -- ({\dx*-1.7400},{\dy*2.7015}) + -- ({\dx*-1.7200},{\dy*2.5976}) + -- ({\dx*-1.7000},{\dy*2.5139}) + -- ({\dx*-1.6800},{\dy*2.4473}) + -- ({\dx*-1.6600},{\dy*2.3952}) + -- ({\dx*-1.6400},{\dy*2.3559}) + -- ({\dx*-1.6200},{\dy*2.3280}) + -- ({\dx*-1.6000},{\dy*2.3106}) + -- ({\dx*-1.5800},{\dy*2.3029}) + -- ({\dx*-1.5600},{\dy*2.3045}) + -- ({\dx*-1.5400},{\dy*2.3151}) + -- ({\dx*-1.5200},{\dy*2.3346}) + -- ({\dx*-1.5000},{\dy*2.3633}) + -- ({\dx*-1.4800},{\dy*2.4012}) + -- ({\dx*-1.4600},{\dy*2.4490}) + -- ({\dx*-1.4400},{\dy*2.5073}) + -- ({\dx*-1.4200},{\dy*2.5770}) + -- ({\dx*-1.4000},{\dy*2.6593}) + -- ({\dx*-1.3800},{\dy*2.7556}) + -- ({\dx*-1.3600},{\dy*2.8679}) + -- ({\dx*-1.3400},{\dy*2.9986}) + -- ({\dx*-1.3200},{\dy*3.1508}) + -- ({\dx*-1.3000},{\dy*3.3283}) + -- ({\dx*-1.2800},{\dy*3.5365}) + -- ({\dx*-1.2600},{\dy*3.7819}) + -- ({\dx*-1.2400},{\dy*4.0737}) + -- ({\dx*-1.2200},{\dy*4.4243}) + -- ({\dx*-1.2000},{\dy*4.8510}) + -- ({\dx*-1.1800},{\dy*5.3790}) + -- ({\dx*-1.1600},{\dy*6.0461}) + -- ({\dx*-1.1400},{\dy*6.9118}) + -- ({\dx*-1.1200},{\dy*8.0752}) + -- ({\dx*-1.1000},{\dy*9.7148}) + -- ({\dx*-1.0800},{\dy*12.1877}) + -- ({\dx*-1.0600},{\dy*16.3271}) + -- ({\dx*-1.0400},{\dy*24.6330}) + -- ({\dx*-1.0200},{\dy*49.6053}) + -- ({\dx*-1.0190},{\dy*52.2354})} +\def\gammathree{({\dx*-2.9810},{\dy*-8.9887}) + -- ({\dx*-2.9800},{\dy*-8.5505}) + -- ({\dx*-2.9600},{\dy*-4.3919}) + -- ({\dx*-2.9400},{\dy*-3.0115}) + -- ({\dx*-2.9200},{\dy*-2.3259}) + -- ({\dx*-2.9000},{\dy*-1.9184}) + -- ({\dx*-2.8800},{\dy*-1.6503}) + -- ({\dx*-2.8600},{\dy*-1.4621}) + -- ({\dx*-2.8400},{\dy*-1.3239}) + -- ({\dx*-2.8200},{\dy*-1.2194}) + -- ({\dx*-2.8000},{\dy*-1.1386}) + -- ({\dx*-2.7800},{\dy*-1.0753}) + -- ({\dx*-2.7600},{\dy*-1.0254}) + -- ({\dx*-2.7400},{\dy*-0.9859}) + -- ({\dx*-2.7200},{\dy*-0.9550}) + -- ({\dx*-2.7000},{\dy*-0.9311}) + -- ({\dx*-2.6800},{\dy*-0.9132}) + -- ({\dx*-2.6600},{\dy*-0.9004}) + -- ({\dx*-2.6400},{\dy*-0.8924}) + -- ({\dx*-2.6200},{\dy*-0.8886}) + -- ({\dx*-2.6000},{\dy*-0.8887}) + -- ({\dx*-2.5800},{\dy*-0.8926}) + -- ({\dx*-2.5600},{\dy*-0.9002}) + -- ({\dx*-2.5400},{\dy*-0.9115}) + -- ({\dx*-2.5200},{\dy*-0.9264}) + -- ({\dx*-2.5000},{\dy*-0.9453}) + -- ({\dx*-2.4800},{\dy*-0.9682}) + -- ({\dx*-2.4600},{\dy*-0.9955}) + -- ({\dx*-2.4400},{\dy*-1.0276}) + -- ({\dx*-2.4200},{\dy*-1.0649}) + -- ({\dx*-2.4000},{\dy*-1.1080}) + -- ({\dx*-2.3800},{\dy*-1.1578}) + -- ({\dx*-2.3600},{\dy*-1.2152}) + -- ({\dx*-2.3400},{\dy*-1.2815}) + -- ({\dx*-2.3200},{\dy*-1.3581}) + -- ({\dx*-2.3000},{\dy*-1.4471}) + -- ({\dx*-2.2800},{\dy*-1.5511}) + -- ({\dx*-2.2600},{\dy*-1.6734}) + -- ({\dx*-2.2400},{\dy*-1.8186}) + -- ({\dx*-2.2200},{\dy*-1.9929}) + -- ({\dx*-2.2000},{\dy*-2.2050}) + -- ({\dx*-2.1800},{\dy*-2.4674}) + -- ({\dx*-2.1600},{\dy*-2.7991}) + -- ({\dx*-2.1400},{\dy*-3.2298}) + -- ({\dx*-2.1200},{\dy*-3.8091}) + -- ({\dx*-2.1000},{\dy*-4.6261}) + -- ({\dx*-2.0800},{\dy*-5.8595}) + -- ({\dx*-2.0600},{\dy*-7.9258}) + -- ({\dx*-2.0400},{\dy*-12.0750}) + -- ({\dx*-2.0200},{\dy*-24.5571}) + -- ({\dx*-2.0190},{\dy*-25.8719})} +\def\gammafour{({\dx*-3.9950},{\dy*8.3966}) + -- ({\dx*-3.9800},{\dy*2.1484}) + -- ({\dx*-3.9600},{\dy*1.1091}) + -- ({\dx*-3.9400},{\dy*0.7643}) + -- ({\dx*-3.9200},{\dy*0.5933}) + -- ({\dx*-3.9000},{\dy*0.4919}) + -- ({\dx*-3.8800},{\dy*0.4253}) + -- ({\dx*-3.8600},{\dy*0.3788}) + -- ({\dx*-3.8400},{\dy*0.3448}) + -- ({\dx*-3.8200},{\dy*0.3192}) + -- ({\dx*-3.8000},{\dy*0.2996}) + -- ({\dx*-3.7800},{\dy*0.2845}) + -- ({\dx*-3.7600},{\dy*0.2727}) + -- ({\dx*-3.7400},{\dy*0.2636}) + -- ({\dx*-3.7200},{\dy*0.2567}) + -- ({\dx*-3.7000},{\dy*0.2516}) + -- ({\dx*-3.6800},{\dy*0.2481}) + -- ({\dx*-3.6600},{\dy*0.2460}) + -- ({\dx*-3.6400},{\dy*0.2452}) + -- ({\dx*-3.6200},{\dy*0.2455}) + -- ({\dx*-3.6000},{\dy*0.2469}) + -- ({\dx*-3.5800},{\dy*0.2493}) + -- ({\dx*-3.5600},{\dy*0.2529}) + -- ({\dx*-3.5400},{\dy*0.2575}) + -- ({\dx*-3.5200},{\dy*0.2632}) + -- ({\dx*-3.5000},{\dy*0.2701}) + -- ({\dx*-3.4800},{\dy*0.2782}) + -- ({\dx*-3.4600},{\dy*0.2877}) + -- ({\dx*-3.4400},{\dy*0.2987}) + -- ({\dx*-3.4200},{\dy*0.3114}) + -- ({\dx*-3.4000},{\dy*0.3259}) + -- ({\dx*-3.3800},{\dy*0.3425}) + -- ({\dx*-3.3600},{\dy*0.3617}) + -- ({\dx*-3.3400},{\dy*0.3837}) + -- ({\dx*-3.3200},{\dy*0.4091}) + -- ({\dx*-3.3000},{\dy*0.4385}) + -- ({\dx*-3.2800},{\dy*0.4729}) + -- ({\dx*-3.2600},{\dy*0.5133}) + -- ({\dx*-3.2400},{\dy*0.5613}) + -- ({\dx*-3.2200},{\dy*0.6189}) + -- ({\dx*-3.2000},{\dy*0.6891}) + -- ({\dx*-3.1800},{\dy*0.7759}) + -- ({\dx*-3.1600},{\dy*0.8858}) + -- ({\dx*-3.1400},{\dy*1.0286}) + -- ({\dx*-3.1200},{\dy*1.2209}) + -- ({\dx*-3.1000},{\dy*1.4923}) + -- ({\dx*-3.0800},{\dy*1.9024}) + -- ({\dx*-3.0600},{\dy*2.5901}) + -- ({\dx*-3.0400},{\dy*3.9720}) + -- ({\dx*-3.0200},{\dy*8.1315}) + -- ({\dx*-3.0050},{\dy*33.1259})} +\def\gammafive{({\dx*-4.9990},{\dy*-8.3476}) + -- ({\dx*-4.9800},{\dy*-0.4314}) + -- ({\dx*-4.9600},{\dy*-0.2236}) + -- ({\dx*-4.9400},{\dy*-0.1547}) + -- ({\dx*-4.9200},{\dy*-0.1206}) + -- ({\dx*-4.9000},{\dy*-0.1004}) + -- ({\dx*-4.8800},{\dy*-0.0872}) + -- ({\dx*-4.8600},{\dy*-0.0779}) + -- ({\dx*-4.8400},{\dy*-0.0712}) + -- ({\dx*-4.8200},{\dy*-0.0662}) + -- ({\dx*-4.8000},{\dy*-0.0624}) + -- ({\dx*-4.7800},{\dy*-0.0595}) + -- ({\dx*-4.7600},{\dy*-0.0573}) + -- ({\dx*-4.7400},{\dy*-0.0556}) + -- ({\dx*-4.7200},{\dy*-0.0544}) + -- ({\dx*-4.7000},{\dy*-0.0535}) + -- ({\dx*-4.6800},{\dy*-0.0530}) + -- ({\dx*-4.6600},{\dy*-0.0528}) + -- ({\dx*-4.6400},{\dy*-0.0528}) + -- ({\dx*-4.6200},{\dy*-0.0531}) + -- ({\dx*-4.6000},{\dy*-0.0537}) + -- ({\dx*-4.5800},{\dy*-0.0544}) + -- ({\dx*-4.5600},{\dy*-0.0555}) + -- ({\dx*-4.5400},{\dy*-0.0567}) + -- ({\dx*-4.5200},{\dy*-0.0582}) + -- ({\dx*-4.5000},{\dy*-0.0600}) + -- ({\dx*-4.4800},{\dy*-0.0621}) + -- ({\dx*-4.4600},{\dy*-0.0645}) + -- ({\dx*-4.4400},{\dy*-0.0673}) + -- ({\dx*-4.4200},{\dy*-0.0704}) + -- ({\dx*-4.4000},{\dy*-0.0741}) + -- ({\dx*-4.3800},{\dy*-0.0782}) + -- ({\dx*-4.3600},{\dy*-0.0830}) + -- ({\dx*-4.3400},{\dy*-0.0884}) + -- ({\dx*-4.3200},{\dy*-0.0947}) + -- ({\dx*-4.3000},{\dy*-0.1020}) + -- ({\dx*-4.2800},{\dy*-0.1105}) + -- ({\dx*-4.2600},{\dy*-0.1205}) + -- ({\dx*-4.2400},{\dy*-0.1324}) + -- ({\dx*-4.2200},{\dy*-0.1467}) + -- ({\dx*-4.2000},{\dy*-0.1641}) + -- ({\dx*-4.1800},{\dy*-0.1856}) + -- ({\dx*-4.1600},{\dy*-0.2129}) + -- ({\dx*-4.1400},{\dy*-0.2485}) + -- ({\dx*-4.1200},{\dy*-0.2963}) + -- ({\dx*-4.1000},{\dy*-0.3640}) + -- ({\dx*-4.0800},{\dy*-0.4663}) + -- ({\dx*-4.0600},{\dy*-0.6380}) + -- ({\dx*-4.0400},{\dy*-0.9832}) + -- ({\dx*-4.0200},{\dy*-2.0228}) + -- ({\dx*-4.0010},{\dy*-41.6040})} +\def\gammasix{({\dx*-5.9998},{\dy*6.9470}) + -- ({\dx*-5.9800},{\dy*0.0721}) + -- ({\dx*-5.9600},{\dy*0.0375}) + -- ({\dx*-5.9400},{\dy*0.0260}) + -- ({\dx*-5.9200},{\dy*0.0204}) + -- ({\dx*-5.9000},{\dy*0.0170}) + -- ({\dx*-5.8800},{\dy*0.0148}) + -- ({\dx*-5.8600},{\dy*0.0133}) + -- ({\dx*-5.8400},{\dy*0.0122}) + -- ({\dx*-5.8200},{\dy*0.0114}) + -- ({\dx*-5.8000},{\dy*0.0108}) + -- ({\dx*-5.7800},{\dy*0.0103}) + -- ({\dx*-5.7600},{\dy*0.0099}) + -- ({\dx*-5.7400},{\dy*0.0097}) + -- ({\dx*-5.7200},{\dy*0.0095}) + -- ({\dx*-5.7000},{\dy*0.0094}) + -- ({\dx*-5.6800},{\dy*0.0093}) + -- ({\dx*-5.6600},{\dy*0.0093}) + -- ({\dx*-5.6400},{\dy*0.0094}) + -- ({\dx*-5.6200},{\dy*0.0095}) + -- ({\dx*-5.6000},{\dy*0.0096}) + -- ({\dx*-5.5800},{\dy*0.0098}) + -- ({\dx*-5.5600},{\dy*0.0100}) + -- ({\dx*-5.5400},{\dy*0.0102}) + -- ({\dx*-5.5200},{\dy*0.0105}) + -- ({\dx*-5.5000},{\dy*0.0109}) + -- ({\dx*-5.4800},{\dy*0.0113}) + -- ({\dx*-5.4600},{\dy*0.0118}) + -- ({\dx*-5.4400},{\dy*0.0124}) + -- ({\dx*-5.4200},{\dy*0.0130}) + -- ({\dx*-5.4000},{\dy*0.0137}) + -- ({\dx*-5.3800},{\dy*0.0145}) + -- ({\dx*-5.3600},{\dy*0.0155}) + -- ({\dx*-5.3400},{\dy*0.0166}) + -- ({\dx*-5.3200},{\dy*0.0178}) + -- ({\dx*-5.3000},{\dy*0.0192}) + -- ({\dx*-5.2800},{\dy*0.0209}) + -- ({\dx*-5.2600},{\dy*0.0229}) + -- ({\dx*-5.2400},{\dy*0.0253}) + -- ({\dx*-5.2200},{\dy*0.0281}) + -- ({\dx*-5.2000},{\dy*0.0316}) + -- ({\dx*-5.1800},{\dy*0.0358}) + -- ({\dx*-5.1600},{\dy*0.0413}) + -- ({\dx*-5.1400},{\dy*0.0483}) + -- ({\dx*-5.1200},{\dy*0.0579}) + -- ({\dx*-5.1000},{\dy*0.0714}) + -- ({\dx*-5.0800},{\dy*0.0918}) + -- ({\dx*-5.0600},{\dy*0.1261}) + -- ({\dx*-5.0400},{\dy*0.1951}) + -- ({\dx*-5.0200},{\dy*0.4029}) + -- ({\dx*-5.0002},{\dy*41.6525})} +\def\gammasinplus{({\dx*0.0190},{\dy*52.1325}) + -- ({\dx*0.0200},{\dy*49.5050}) + -- ({\dx*0.0400},{\dy*24.5863}) + -- ({\dx*0.0600},{\dy*16.3331}) + -- ({\dx*0.0800},{\dy*12.2453}) + -- ({\dx*0.1000},{\dy*9.8225}) + -- ({\dx*0.1200},{\dy*8.2314}) + -- ({\dx*0.1400},{\dy*7.1145}) + -- ({\dx*0.1600},{\dy*6.2930}) + -- ({\dx*0.1800},{\dy*5.6676}) + -- ({\dx*0.2000},{\dy*5.1786}) + -- ({\dx*0.2200},{\dy*4.7879}) + -- ({\dx*0.2400},{\dy*4.4701}) + -- ({\dx*0.2600},{\dy*4.2074}) + -- ({\dx*0.2800},{\dy*3.9874}) + -- ({\dx*0.3000},{\dy*3.8006}) + -- ({\dx*0.3200},{\dy*3.6401}) + -- ({\dx*0.3400},{\dy*3.5005}) + -- ({\dx*0.3600},{\dy*3.3776}) + -- ({\dx*0.3800},{\dy*3.2680}) + -- ({\dx*0.4000},{\dy*3.1692}) + -- ({\dx*0.4200},{\dy*3.0790}) + -- ({\dx*0.4400},{\dy*2.9955}) + -- ({\dx*0.4600},{\dy*2.9173}) + -- ({\dx*0.4800},{\dy*2.8433}) + -- ({\dx*0.5000},{\dy*2.7725}) + -- ({\dx*0.5200},{\dy*2.7039}) + -- ({\dx*0.5400},{\dy*2.6369}) + -- ({\dx*0.5600},{\dy*2.5709}) + -- ({\dx*0.5800},{\dy*2.5055}) + -- ({\dx*0.6000},{\dy*2.4402}) + -- ({\dx*0.6200},{\dy*2.3748}) + -- ({\dx*0.6400},{\dy*2.3090}) + -- ({\dx*0.6600},{\dy*2.2425}) + -- ({\dx*0.6800},{\dy*2.1752}) + -- ({\dx*0.7000},{\dy*2.1071}) + -- ({\dx*0.7200},{\dy*2.0380}) + -- ({\dx*0.7400},{\dy*1.9679}) + -- ({\dx*0.7600},{\dy*1.8969}) + -- ({\dx*0.7800},{\dy*1.8249}) + -- ({\dx*0.8000},{\dy*1.7520}) + -- ({\dx*0.8200},{\dy*1.6783}) + -- ({\dx*0.8400},{\dy*1.6039}) + -- ({\dx*0.8600},{\dy*1.5289}) + -- ({\dx*0.8800},{\dy*1.4534}) + -- ({\dx*0.9000},{\dy*1.3776}) + -- ({\dx*0.9200},{\dy*1.3017}) + -- ({\dx*0.9400},{\dy*1.2258}) + -- ({\dx*0.9600},{\dy*1.1501}) + -- ({\dx*0.9800},{\dy*1.0747}) + -- ({\dx*1.0000},{\dy*1.0000}) + -- ({\dx*1.0200},{\dy*0.9261}) + -- ({\dx*1.0400},{\dy*0.8531}) + -- ({\dx*1.0600},{\dy*0.7814}) + -- ({\dx*1.0800},{\dy*0.7110}) + -- ({\dx*1.1000},{\dy*0.6423}) + -- ({\dx*1.1200},{\dy*0.5755}) + -- ({\dx*1.1400},{\dy*0.5106}) + -- ({\dx*1.1600},{\dy*0.4480}) + -- ({\dx*1.1800},{\dy*0.3879}) + -- ({\dx*1.2000},{\dy*0.3304}) + -- ({\dx*1.2200},{\dy*0.2757}) + -- ({\dx*1.2400},{\dy*0.2240}) + -- ({\dx*1.2600},{\dy*0.1754}) + -- ({\dx*1.2800},{\dy*0.1302}) + -- ({\dx*1.3000},{\dy*0.0885}) + -- ({\dx*1.3200},{\dy*0.0503}) + -- ({\dx*1.3400},{\dy*0.0159}) + -- ({\dx*1.3600},{\dy*-0.0146}) + -- ({\dx*1.3800},{\dy*-0.0412}) + -- ({\dx*1.4000},{\dy*-0.0638}) + -- ({\dx*1.4200},{\dy*-0.0822}) + -- ({\dx*1.4400},{\dy*-0.0965}) + -- ({\dx*1.4600},{\dy*-0.1065}) + -- ({\dx*1.4800},{\dy*-0.1123}) + -- ({\dx*1.5000},{\dy*-0.1138}) + -- ({\dx*1.5200},{\dy*-0.1110}) + -- ({\dx*1.5400},{\dy*-0.1039}) + -- ({\dx*1.5600},{\dy*-0.0926}) + -- ({\dx*1.5800},{\dy*-0.0772}) + -- ({\dx*1.6000},{\dy*-0.0575}) + -- ({\dx*1.6200},{\dy*-0.0339}) + -- ({\dx*1.6400},{\dy*-0.0062}) + -- ({\dx*1.6600},{\dy*0.0254}) + -- ({\dx*1.6800},{\dy*0.0607}) + -- ({\dx*1.7000},{\dy*0.0996}) + -- ({\dx*1.7200},{\dy*0.1421}) + -- ({\dx*1.7400},{\dy*0.1879}) + -- ({\dx*1.7600},{\dy*0.2368}) + -- ({\dx*1.7800},{\dy*0.2888}) + -- ({\dx*1.8000},{\dy*0.3436}) + -- ({\dx*1.8200},{\dy*0.4010}) + -- ({\dx*1.8400},{\dy*0.4609}) + -- ({\dx*1.8600},{\dy*0.5229}) + -- ({\dx*1.8800},{\dy*0.5869}) + -- ({\dx*1.9000},{\dy*0.6527}) + -- ({\dx*1.9200},{\dy*0.7201}) + -- ({\dx*1.9400},{\dy*0.7887}) + -- ({\dx*1.9600},{\dy*0.8584}) + -- ({\dx*1.9800},{\dy*0.9289}) + -- ({\dx*2.0000},{\dy*1.0000}) + -- ({\dx*2.0200},{\dy*1.0714}) + -- ({\dx*2.0400},{\dy*1.1429}) + -- ({\dx*2.0600},{\dy*1.2142}) + -- ({\dx*2.0800},{\dy*1.2852}) + -- ({\dx*2.1000},{\dy*1.3555}) + -- ({\dx*2.1200},{\dy*1.4249}) + -- ({\dx*2.1400},{\dy*1.4933}) + -- ({\dx*2.1600},{\dy*1.5603}) + -- ({\dx*2.1800},{\dy*1.6258}) + -- ({\dx*2.2000},{\dy*1.6896}) + -- ({\dx*2.2200},{\dy*1.7514}) + -- ({\dx*2.2400},{\dy*1.8111}) + -- ({\dx*2.2600},{\dy*1.8685}) + -- ({\dx*2.2800},{\dy*1.9234}) + -- ({\dx*2.3000},{\dy*1.9757}) + -- ({\dx*2.3200},{\dy*2.0253}) + -- ({\dx*2.3400},{\dy*2.0719}) + -- ({\dx*2.3600},{\dy*2.1155}) + -- ({\dx*2.3800},{\dy*2.1560}) + -- ({\dx*2.4000},{\dy*2.1932}) + -- ({\dx*2.4200},{\dy*2.2272}) + -- ({\dx*2.4400},{\dy*2.2578}) + -- ({\dx*2.4600},{\dy*2.2851}) + -- ({\dx*2.4800},{\dy*2.3089}) + -- ({\dx*2.5000},{\dy*2.3293}) + -- ({\dx*2.5200},{\dy*2.3463}) + -- ({\dx*2.5400},{\dy*2.3599}) + -- ({\dx*2.5600},{\dy*2.3701}) + -- ({\dx*2.5800},{\dy*2.3770}) + -- ({\dx*2.6000},{\dy*2.3807}) + -- ({\dx*2.6200},{\dy*2.3812}) + -- ({\dx*2.6400},{\dy*2.3786}) + -- ({\dx*2.6600},{\dy*2.3731}) + -- ({\dx*2.6800},{\dy*2.3647}) + -- ({\dx*2.7000},{\dy*2.3537}) + -- ({\dx*2.7200},{\dy*2.3402}) + -- ({\dx*2.7400},{\dy*2.3242}) + -- ({\dx*2.7600},{\dy*2.3062}) + -- ({\dx*2.7800},{\dy*2.2861}) + -- ({\dx*2.8000},{\dy*2.2643}) + -- ({\dx*2.8200},{\dy*2.2409}) + -- ({\dx*2.8400},{\dy*2.2162}) + -- ({\dx*2.8600},{\dy*2.1903}) + -- ({\dx*2.8800},{\dy*2.1637}) + -- ({\dx*2.9000},{\dy*2.1364}) + -- ({\dx*2.9200},{\dy*2.1087}) + -- ({\dx*2.9400},{\dy*2.0810}) + -- ({\dx*2.9600},{\dy*2.0535}) + -- ({\dx*2.9800},{\dy*2.0264}) + -- ({\dx*3.0000},{\dy*2.0000}) + -- ({\dx*3.0200},{\dy*1.9746}) + -- ({\dx*3.0400},{\dy*1.9505}) + -- ({\dx*3.0600},{\dy*1.9280}) + -- ({\dx*3.0800},{\dy*1.9072}) + -- ({\dx*3.1000},{\dy*1.8886}) + -- ({\dx*3.1200},{\dy*1.8723}) + -- ({\dx*3.1400},{\dy*1.8587}) + -- ({\dx*3.1600},{\dy*1.8480}) + -- ({\dx*3.1800},{\dy*1.8404}) + -- ({\dx*3.2000},{\dy*1.8362}) + -- ({\dx*3.2200},{\dy*1.8356}) + -- ({\dx*3.2400},{\dy*1.8390}) + -- ({\dx*3.2600},{\dy*1.8464}) + -- ({\dx*3.2800},{\dy*1.8581}) + -- ({\dx*3.3000},{\dy*1.8744}) + -- ({\dx*3.3200},{\dy*1.8954}) + -- ({\dx*3.3400},{\dy*1.9213}) + -- ({\dx*3.3600},{\dy*1.9523}) + -- ({\dx*3.3800},{\dy*1.9885}) + -- ({\dx*3.4000},{\dy*2.0301}) + -- ({\dx*3.4200},{\dy*2.0773}) + -- ({\dx*3.4400},{\dy*2.1301}) + -- ({\dx*3.4600},{\dy*2.1886}) + -- ({\dx*3.4800},{\dy*2.2530}) + -- ({\dx*3.5000},{\dy*2.3234}) + -- ({\dx*3.5200},{\dy*2.3997}) + -- ({\dx*3.5400},{\dy*2.4821}) + -- ({\dx*3.5600},{\dy*2.5706}) + -- ({\dx*3.5800},{\dy*2.6652}) + -- ({\dx*3.6000},{\dy*2.7660}) + -- ({\dx*3.6200},{\dy*2.8729}) + -- ({\dx*3.6400},{\dy*2.9859}) + -- ({\dx*3.6600},{\dy*3.1051}) + -- ({\dx*3.6800},{\dy*3.2303}) + -- ({\dx*3.7000},{\dy*3.3616}) + -- ({\dx*3.7200},{\dy*3.4989}) + -- ({\dx*3.7400},{\dy*3.6421}) + -- ({\dx*3.7600},{\dy*3.7911}) + -- ({\dx*3.7800},{\dy*3.9459}) + -- ({\dx*3.8000},{\dy*4.1064}) + -- ({\dx*3.8200},{\dy*4.2724}) + -- ({\dx*3.8400},{\dy*4.4440}) + -- ({\dx*3.8600},{\dy*4.6209}) + -- ({\dx*3.8800},{\dy*4.8030}) + -- ({\dx*3.9000},{\dy*4.9903}) + -- ({\dx*3.9200},{\dy*5.1826}) + -- ({\dx*3.9400},{\dy*5.3799}) + -- ({\dx*3.9600},{\dy*5.5819}) + -- ({\dx*3.9800},{\dy*5.7887}) + -- ({\dx*4.0000},{\dy*6.0000}) + -- ({\dx*4.0200},{\dy*6.2158}) + -- ({\dx*4.0400},{\dy*6.4359}) + -- ({\dx*4.0600},{\dy*6.6603}) + -- ({\dx*4.0800},{\dy*6.8889}) + -- ({\dx*4.0810},{\dy*6.9005})} +\def\gammasinone{({\dx*-0.9810},{\dy*-53.1410}) + -- ({\dx*-0.9800},{\dy*-50.5140}) + -- ({\dx*-0.9600},{\dy*-25.6055}) + -- ({\dx*-0.9400},{\dy*-17.3637}) + -- ({\dx*-0.9200},{\dy*-13.2884}) + -- ({\dx*-0.9000},{\dy*-10.8796}) + -- ({\dx*-0.8800},{\dy*-9.3036}) + -- ({\dx*-0.8600},{\dy*-8.2033}) + -- ({\dx*-0.8400},{\dy*-7.3999}) + -- ({\dx*-0.8200},{\dy*-6.7941}) + -- ({\dx*-0.8000},{\dy*-6.3263}) + -- ({\dx*-0.7800},{\dy*-5.9586}) + -- ({\dx*-0.7600},{\dy*-5.6655}) + -- ({\dx*-0.7400},{\dy*-5.4296}) + -- ({\dx*-0.7200},{\dy*-5.2384}) + -- ({\dx*-0.7000},{\dy*-5.0827}) + -- ({\dx*-0.6800},{\dy*-4.9557}) + -- ({\dx*-0.6600},{\dy*-4.8523}) + -- ({\dx*-0.6400},{\dy*-4.7685}) + -- ({\dx*-0.6200},{\dy*-4.7012}) + -- ({\dx*-0.6000},{\dy*-4.6480}) + -- ({\dx*-0.5800},{\dy*-4.6072}) + -- ({\dx*-0.5600},{\dy*-4.5773}) + -- ({\dx*-0.5400},{\dy*-4.5573}) + -- ({\dx*-0.5200},{\dy*-4.5467}) + -- ({\dx*-0.5000},{\dy*-4.5449}) + -- ({\dx*-0.4800},{\dy*-4.5519}) + -- ({\dx*-0.4600},{\dy*-4.5677}) + -- ({\dx*-0.4400},{\dy*-4.5928}) + -- ({\dx*-0.4200},{\dy*-4.6279}) + -- ({\dx*-0.4000},{\dy*-4.6740}) + -- ({\dx*-0.3800},{\dy*-4.7325}) + -- ({\dx*-0.3600},{\dy*-4.8052}) + -- ({\dx*-0.3400},{\dy*-4.8944}) + -- ({\dx*-0.3200},{\dy*-5.0033}) + -- ({\dx*-0.3000},{\dy*-5.1359}) + -- ({\dx*-0.2800},{\dy*-5.2972}) + -- ({\dx*-0.2600},{\dy*-5.4942}) + -- ({\dx*-0.2400},{\dy*-5.7359}) + -- ({\dx*-0.2200},{\dy*-6.0350}) + -- ({\dx*-0.2000},{\dy*-6.4089}) + -- ({\dx*-0.1800},{\dy*-6.8830}) + -- ({\dx*-0.1600},{\dy*-7.4952}) + -- ({\dx*-0.1400},{\dy*-8.3052}) + -- ({\dx*-0.1200},{\dy*-9.4124}) + -- ({\dx*-0.1000},{\dy*-10.9953}) + -- ({\dx*-0.0800},{\dy*-13.4114}) + -- ({\dx*-0.0600},{\dy*-17.4941}) + -- ({\dx*-0.0400},{\dy*-25.7436}) + -- ({\dx*-0.0200},{\dy*-50.6602}) + -- ({\dx*-0.0190},{\dy*-53.2876})} +\def\gammasintwo{({\dx*-1.9810},{\dy*26.8549}) + -- ({\dx*-1.9800},{\dy*25.5432}) + -- ({\dx*-1.9600},{\dy*13.1254}) + -- ({\dx*-1.9400},{\dy*9.0411}) + -- ({\dx*-1.9200},{\dy*7.0402}) + -- ({\dx*-1.9000},{\dy*5.8725}) + -- ({\dx*-1.8800},{\dy*5.1211}) + -- ({\dx*-1.8600},{\dy*4.6073}) + -- ({\dx*-1.8400},{\dy*4.2416}) + -- ({\dx*-1.8200},{\dy*3.9745}) + -- ({\dx*-1.8000},{\dy*3.7759}) + -- ({\dx*-1.7800},{\dy*3.6268}) + -- ({\dx*-1.7600},{\dy*3.5146}) + -- ({\dx*-1.7400},{\dy*3.4305}) + -- ({\dx*-1.7200},{\dy*3.3681}) + -- ({\dx*-1.7000},{\dy*3.3229}) + -- ({\dx*-1.6800},{\dy*3.2916}) + -- ({\dx*-1.6600},{\dy*3.2715}) + -- ({\dx*-1.6400},{\dy*3.2607}) + -- ({\dx*-1.6200},{\dy*3.2578}) + -- ({\dx*-1.6000},{\dy*3.2616}) + -- ({\dx*-1.5800},{\dy*3.2715}) + -- ({\dx*-1.5600},{\dy*3.2868}) + -- ({\dx*-1.5400},{\dy*3.3072}) + -- ({\dx*-1.5200},{\dy*3.3327}) + -- ({\dx*-1.5000},{\dy*3.3633}) + -- ({\dx*-1.4800},{\dy*3.3993}) + -- ({\dx*-1.4600},{\dy*3.4412}) + -- ({\dx*-1.4400},{\dy*3.4896}) + -- ({\dx*-1.4200},{\dy*3.5456}) + -- ({\dx*-1.4000},{\dy*3.6103}) + -- ({\dx*-1.3800},{\dy*3.6854}) + -- ({\dx*-1.3600},{\dy*3.7727}) + -- ({\dx*-1.3400},{\dy*3.8749}) + -- ({\dx*-1.3200},{\dy*3.9951}) + -- ({\dx*-1.3000},{\dy*4.1374}) + -- ({\dx*-1.2800},{\dy*4.3070}) + -- ({\dx*-1.2600},{\dy*4.5109}) + -- ({\dx*-1.2400},{\dy*4.7583}) + -- ({\dx*-1.2200},{\dy*5.0617}) + -- ({\dx*-1.2000},{\dy*5.4387}) + -- ({\dx*-1.1800},{\dy*5.9148}) + -- ({\dx*-1.1600},{\dy*6.5279}) + -- ({\dx*-1.1400},{\dy*7.3376}) + -- ({\dx*-1.1200},{\dy*8.4433}) + -- ({\dx*-1.1000},{\dy*10.0238}) + -- ({\dx*-1.0800},{\dy*12.4364}) + -- ({\dx*-1.0600},{\dy*16.5145}) + -- ({\dx*-1.0400},{\dy*24.7583}) + -- ({\dx*-1.0200},{\dy*49.6681}) + -- ({\dx*-1.0190},{\dy*52.2951})} +\def\gammasinthree{({\dx*-2.9810},{\dy*-9.0483}) + -- ({\dx*-2.9800},{\dy*-8.6133}) + -- ({\dx*-2.9600},{\dy*-4.5173}) + -- ({\dx*-2.9400},{\dy*-3.1989}) + -- ({\dx*-2.9200},{\dy*-2.5746}) + -- ({\dx*-2.9000},{\dy*-2.2274}) + -- ({\dx*-2.8800},{\dy*-2.0184}) + -- ({\dx*-2.8600},{\dy*-1.8878}) + -- ({\dx*-2.8400},{\dy*-1.8057}) + -- ({\dx*-2.8200},{\dy*-1.7552}) + -- ({\dx*-2.8000},{\dy*-1.7264}) + -- ({\dx*-2.7800},{\dy*-1.7127}) + -- ({\dx*-2.7600},{\dy*-1.7099}) + -- ({\dx*-2.7400},{\dy*-1.7149}) + -- ({\dx*-2.7200},{\dy*-1.7255}) + -- ({\dx*-2.7000},{\dy*-1.7401}) + -- ({\dx*-2.6800},{\dy*-1.7575}) + -- ({\dx*-2.6600},{\dy*-1.7768}) + -- ({\dx*-2.6400},{\dy*-1.7972}) + -- ({\dx*-2.6200},{\dy*-1.8183}) + -- ({\dx*-2.6000},{\dy*-1.8397}) + -- ({\dx*-2.5800},{\dy*-1.8612}) + -- ({\dx*-2.5600},{\dy*-1.8825}) + -- ({\dx*-2.5400},{\dy*-1.9036}) + -- ({\dx*-2.5200},{\dy*-1.9245}) + -- ({\dx*-2.5000},{\dy*-1.9453}) + -- ({\dx*-2.4800},{\dy*-1.9663}) + -- ({\dx*-2.4600},{\dy*-1.9877}) + -- ({\dx*-2.4400},{\dy*-2.0099}) + -- ({\dx*-2.4200},{\dy*-2.0335}) + -- ({\dx*-2.4000},{\dy*-2.0591}) + -- ({\dx*-2.3800},{\dy*-2.0876}) + -- ({\dx*-2.3600},{\dy*-2.1200}) + -- ({\dx*-2.3400},{\dy*-2.1578}) + -- ({\dx*-2.3200},{\dy*-2.2024}) + -- ({\dx*-2.3000},{\dy*-2.2561}) + -- ({\dx*-2.2800},{\dy*-2.3216}) + -- ({\dx*-2.2600},{\dy*-2.4024}) + -- ({\dx*-2.2400},{\dy*-2.5032}) + -- ({\dx*-2.2200},{\dy*-2.6303}) + -- ({\dx*-2.2000},{\dy*-2.7928}) + -- ({\dx*-2.1800},{\dy*-3.0032}) + -- ({\dx*-2.1600},{\dy*-3.2809}) + -- ({\dx*-2.1400},{\dy*-3.6556}) + -- ({\dx*-2.1200},{\dy*-4.1772}) + -- ({\dx*-2.1000},{\dy*-4.9351}) + -- ({\dx*-2.0800},{\dy*-6.1082}) + -- ({\dx*-2.0600},{\dy*-8.1132}) + -- ({\dx*-2.0400},{\dy*-12.2003}) + -- ({\dx*-2.0200},{\dy*-24.6199}) + -- ({\dx*-2.0190},{\dy*-25.9316})} +\def\gammasinfour{({\dx*-3.9950},{\dy*8.4124}) + -- ({\dx*-3.9800},{\dy*2.2112}) + -- ({\dx*-3.9600},{\dy*1.2344}) + -- ({\dx*-3.9400},{\dy*0.9517}) + -- ({\dx*-3.9200},{\dy*0.8420}) + -- ({\dx*-3.9000},{\dy*0.8009}) + -- ({\dx*-3.8800},{\dy*0.7935}) + -- ({\dx*-3.8600},{\dy*0.8045}) + -- ({\dx*-3.8400},{\dy*0.8265}) + -- ({\dx*-3.8200},{\dy*0.8550}) + -- ({\dx*-3.8000},{\dy*0.8874}) + -- ({\dx*-3.7800},{\dy*0.9219}) + -- ({\dx*-3.7600},{\dy*0.9573}) + -- ({\dx*-3.7400},{\dy*0.9926}) + -- ({\dx*-3.7200},{\dy*1.0272}) + -- ({\dx*-3.7000},{\dy*1.0607}) + -- ({\dx*-3.6800},{\dy*1.0925}) + -- ({\dx*-3.6600},{\dy*1.1223}) + -- ({\dx*-3.6400},{\dy*1.1500}) + -- ({\dx*-3.6200},{\dy*1.1752}) + -- ({\dx*-3.6000},{\dy*1.1979}) + -- ({\dx*-3.5800},{\dy*1.2179}) + -- ({\dx*-3.5600},{\dy*1.2351}) + -- ({\dx*-3.5400},{\dy*1.2496}) + -- ({\dx*-3.5200},{\dy*1.2612}) + -- ({\dx*-3.5000},{\dy*1.2701}) + -- ({\dx*-3.4800},{\dy*1.2763}) + -- ({\dx*-3.4600},{\dy*1.2798}) + -- ({\dx*-3.4400},{\dy*1.2810}) + -- ({\dx*-3.4200},{\dy*1.2800}) + -- ({\dx*-3.4000},{\dy*1.2769}) + -- ({\dx*-3.3800},{\dy*1.2723}) + -- ({\dx*-3.3600},{\dy*1.2665}) + -- ({\dx*-3.3400},{\dy*1.2600}) + -- ({\dx*-3.3200},{\dy*1.2534}) + -- ({\dx*-3.3000},{\dy*1.2475}) + -- ({\dx*-3.2800},{\dy*1.2434}) + -- ({\dx*-3.2600},{\dy*1.2423}) + -- ({\dx*-3.2400},{\dy*1.2458}) + -- ({\dx*-3.2200},{\dy*1.2563}) + -- ({\dx*-3.2000},{\dy*1.2768}) + -- ({\dx*-3.1800},{\dy*1.3117}) + -- ({\dx*-3.1600},{\dy*1.3676}) + -- ({\dx*-3.1400},{\dy*1.4544}) + -- ({\dx*-3.1200},{\dy*1.5890}) + -- ({\dx*-3.1000},{\dy*1.8013}) + -- ({\dx*-3.0800},{\dy*2.1511}) + -- ({\dx*-3.0600},{\dy*2.7775}) + -- ({\dx*-3.0400},{\dy*4.0974}) + -- ({\dx*-3.0200},{\dy*8.1943}) + -- ({\dx*-3.0050},{\dy*33.1416})} +\def\gammasinfive{({\dx*-4.9990},{\dy*-8.3507}) + -- ({\dx*-4.9800},{\dy*-0.4942}) + -- ({\dx*-4.9600},{\dy*-0.3489}) + -- ({\dx*-4.9400},{\dy*-0.3421}) + -- ({\dx*-4.9200},{\dy*-0.3693}) + -- ({\dx*-4.9000},{\dy*-0.4094}) + -- ({\dx*-4.8800},{\dy*-0.4553}) + -- ({\dx*-4.8600},{\dy*-0.5037}) + -- ({\dx*-4.8400},{\dy*-0.5530}) + -- ({\dx*-4.8200},{\dy*-0.6021}) + -- ({\dx*-4.8000},{\dy*-0.6502}) + -- ({\dx*-4.7800},{\dy*-0.6969}) + -- ({\dx*-4.7600},{\dy*-0.7418}) + -- ({\dx*-4.7400},{\dy*-0.7846}) + -- ({\dx*-4.7200},{\dy*-0.8249}) + -- ({\dx*-4.7000},{\dy*-0.8626}) + -- ({\dx*-4.6800},{\dy*-0.8973}) + -- ({\dx*-4.6600},{\dy*-0.9291}) + -- ({\dx*-4.6400},{\dy*-0.9577}) + -- ({\dx*-4.6200},{\dy*-0.9829}) + -- ({\dx*-4.6000},{\dy*-1.0047}) + -- ({\dx*-4.5800},{\dy*-1.0230}) + -- ({\dx*-4.5600},{\dy*-1.0377}) + -- ({\dx*-4.5400},{\dy*-1.0488}) + -- ({\dx*-4.5200},{\dy*-1.0563}) + -- ({\dx*-4.5000},{\dy*-1.0600}) + -- ({\dx*-4.4800},{\dy*-1.0601}) + -- ({\dx*-4.4600},{\dy*-1.0566}) + -- ({\dx*-4.4400},{\dy*-1.0496}) + -- ({\dx*-4.4200},{\dy*-1.0390}) + -- ({\dx*-4.4000},{\dy*-1.0251}) + -- ({\dx*-4.3800},{\dy*-1.0080}) + -- ({\dx*-4.3600},{\dy*-0.9878}) + -- ({\dx*-4.3400},{\dy*-0.9647}) + -- ({\dx*-4.3200},{\dy*-0.9390}) + -- ({\dx*-4.3000},{\dy*-0.9110}) + -- ({\dx*-4.2800},{\dy*-0.8810}) + -- ({\dx*-4.2600},{\dy*-0.8495}) + -- ({\dx*-4.2400},{\dy*-0.8169}) + -- ({\dx*-4.2200},{\dy*-0.7841}) + -- ({\dx*-4.2000},{\dy*-0.7518}) + -- ({\dx*-4.1800},{\dy*-0.7215}) + -- ({\dx*-4.1600},{\dy*-0.6947}) + -- ({\dx*-4.1400},{\dy*-0.6742}) + -- ({\dx*-4.1200},{\dy*-0.6644}) + -- ({\dx*-4.1000},{\dy*-0.6730}) + -- ({\dx*-4.0800},{\dy*-0.7150}) + -- ({\dx*-4.0600},{\dy*-0.8253}) + -- ({\dx*-4.0400},{\dy*-1.1085}) + -- ({\dx*-4.0200},{\dy*-2.0855}) + -- ({\dx*-4.0010},{\dy*-41.6072})} +\def\gammasinsix{({\dx*-5.9998},{\dy*6.9477}) + -- ({\dx*-5.9800},{\dy*0.1349}) + -- ({\dx*-5.9600},{\dy*0.1629}) + -- ({\dx*-5.9400},{\dy*0.2134}) + -- ({\dx*-5.9200},{\dy*0.2691}) + -- ({\dx*-5.9000},{\dy*0.3260}) + -- ({\dx*-5.8800},{\dy*0.3829}) + -- ({\dx*-5.8600},{\dy*0.4391}) + -- ({\dx*-5.8400},{\dy*0.4940}) + -- ({\dx*-5.8200},{\dy*0.5472}) + -- ({\dx*-5.8000},{\dy*0.5985}) + -- ({\dx*-5.7800},{\dy*0.6477}) + -- ({\dx*-5.7600},{\dy*0.6945}) + -- ({\dx*-5.7400},{\dy*0.7387}) + -- ({\dx*-5.7200},{\dy*0.7800}) + -- ({\dx*-5.7000},{\dy*0.8184}) + -- ({\dx*-5.6800},{\dy*0.8537}) + -- ({\dx*-5.6600},{\dy*0.8856}) + -- ({\dx*-5.6400},{\dy*0.9142}) + -- ({\dx*-5.6200},{\dy*0.9392}) + -- ({\dx*-5.6000},{\dy*0.9606}) + -- ({\dx*-5.5800},{\dy*0.9783}) + -- ({\dx*-5.5600},{\dy*0.9923}) + -- ({\dx*-5.5400},{\dy*1.0024}) + -- ({\dx*-5.5200},{\dy*1.0086}) + -- ({\dx*-5.5000},{\dy*1.0109}) + -- ({\dx*-5.4800},{\dy*1.0094}) + -- ({\dx*-5.4600},{\dy*1.0039}) + -- ({\dx*-5.4400},{\dy*0.9947}) + -- ({\dx*-5.4200},{\dy*0.9816}) + -- ({\dx*-5.4000},{\dy*0.9648}) + -- ({\dx*-5.3800},{\dy*0.9443}) + -- ({\dx*-5.3600},{\dy*0.9203}) + -- ({\dx*-5.3400},{\dy*0.8929}) + -- ({\dx*-5.3200},{\dy*0.8621}) + -- ({\dx*-5.3000},{\dy*0.8283}) + -- ({\dx*-5.2800},{\dy*0.7914}) + -- ({\dx*-5.2600},{\dy*0.7519}) + -- ({\dx*-5.2400},{\dy*0.7098}) + -- ({\dx*-5.2200},{\dy*0.6655}) + -- ({\dx*-5.2000},{\dy*0.6193}) + -- ({\dx*-5.1800},{\dy*0.5717}) + -- ({\dx*-5.1600},{\dy*0.5230}) + -- ({\dx*-5.1400},{\dy*0.4741}) + -- ({\dx*-5.1200},{\dy*0.4260}) + -- ({\dx*-5.1000},{\dy*0.3804}) + -- ({\dx*-5.0800},{\dy*0.3405}) + -- ({\dx*-5.0600},{\dy*0.3135}) + -- ({\dx*-5.0400},{\dy*0.3204}) + -- ({\dx*-5.0200},{\dy*0.4657}) + -- ({\dx*-5.0002},{\dy*41.6531})} diff --git a/buch/papers/laguerre/images/gammaplot.tex b/buch/papers/laguerre/images/gammaplot.tex new file mode 100644 index 0000000..5a68f0a --- /dev/null +++ b/buch/papers/laguerre/images/gammaplot.tex @@ -0,0 +1,73 @@ +% +% gammaplot.tex -- template for standalon tikz images +% +% (c) 2021 Prof Dr Andreas Müller, OST Ostschweizer Fachhochschule +% +\documentclass[tikz]{standalone} +\usepackage{amsmath} +\usepackage{times} +\usepackage{txfonts} +\usepackage{pgfplots} +\usepackage{csvsimple} +\usetikzlibrary{arrows,intersections,math} +\input{gammapaths.tex} +\begin{document} +\def\skala{1} +\begin{tikzpicture}[>=latex,thick,scale=\skala] + +\definecolor{mainColor}{HTML}{D72864} % OST pink + +\draw[->] (-6.1,0) -- (5.3,0) coordinate[label={$z$}]; +\draw[->] (0,-5.1) -- (0,6.4) coordinate[label={right:$\Gamma(z)$}]; + +\foreach \x in {-1,-2,-3,-4,-5,-6}{ + \draw (\x,-0.1) -- (\x,0.1); + \draw[line width=0.1pt] (\x,-5) -- (\x,6.2); +} +\foreach \x in {1,2,3,4,5}{ + \draw (\x,-0.1) -- (\x,0.1); + \node at (\x,0) [below] {$\x$}; +} +\foreach \y in {-5,-4,-3,-2,-1,1,2,3,4,5,6}{ + \draw (-0.1,\y) -- (0.1,\y); +} +\foreach \y in {1,2,3,4,5,6}{ + \node at (0,\y) [left] {$\y$}; +} +\foreach \y in {-1,-2,-3,-4,-5}{ + \node at (0,\y) [right] {$\y$}; +} +\foreach \x in {-1,-3,-5}{ + \node at (\x,0) [below left] {$\x$}; +} +\foreach \x in {-2,-4,-6}{ + \node at (\x,0) [above left] {$\x$}; +} + +\def\dx{1} +\def\dy{1} + +\begin{scope} +\clip (-6.1,-5) rectangle (4.3,6.2); + +% \draw[color=darkgreen,line width=1.4pt] \gammasinplus; +% \draw[color=darkgreen,line width=1.4pt] \gammasinone; +% \draw[color=darkgreen,line width=1.4pt] \gammasintwo; +% \draw[color=darkgreen,line width=1.4pt] \gammasinthree; +% \draw[color=darkgreen,line width=1.4pt] \gammasinfour; +% \draw[color=darkgreen,line width=1.4pt] \gammasinfive; +% \draw[color=darkgreen,line width=1.4pt] \gammasinsix; + +\draw[color=mainColor,line width=1.4pt] \gammaplus; +\draw[color=mainColor,line width=1.4pt] \gammaone; +\draw[color=mainColor,line width=1.4pt] \gammatwo; +\draw[color=mainColor,line width=1.4pt] \gammathree; +\draw[color=mainColor,line width=1.4pt] \gammafour; +\draw[color=mainColor,line width=1.4pt] \gammafive; +\draw[color=mainColor,line width=1.4pt] \gammasix; + +\end{scope} + +\end{tikzpicture} +\end{document} + diff --git a/buch/papers/laguerre/quadratur.tex b/buch/papers/laguerre/quadratur.tex index 75858df..27519d8 100644 --- a/buch/papers/laguerre/quadratur.tex +++ b/buch/papers/laguerre/quadratur.tex @@ -8,7 +8,7 @@ Die Gauss-Quadratur ist ein numerisches Integrationsverfahren, welches die Eigenschaften von orthogonalen Polynomen ausnützt. Herleitungen und Analysen der Gauss-Quadratur können im -Abschnitt~\ref{buch:orthogonalitaet:section:gauss-quadratur} gefunden werden. +Abschnitt~\ref{buch:orthogonal:section:gauss-quadratur} gefunden werden. Als grundlegende Idee wird die Beobachtung, dass viele Funktionen sich gut mit Polynomen approximieren lassen, verwendet. -- cgit v1.2.1 From 2625b1234dd68a9cc3ce50675ac0b1cb80eca275 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Patrik=20M=C3=BCller?= Date: Tue, 19 Jul 2022 16:31:48 +0200 Subject: Correct typos, improve grammar --- buch/papers/laguerre/definition.tex | 14 +++++---- buch/papers/laguerre/eigenschaften.tex | 37 +++++++---------------- buch/papers/laguerre/gamma.tex | 55 +++++++++++++++++++--------------- buch/papers/laguerre/main.tex | 14 +++++---- buch/papers/laguerre/quadratur.tex | 19 ++++++------ 5 files changed, 68 insertions(+), 71 deletions(-) (limited to 'buch/papers') diff --git a/buch/papers/laguerre/definition.tex b/buch/papers/laguerre/definition.tex index 42cd6f6..4729a93 100644 --- a/buch/papers/laguerre/definition.tex +++ b/buch/papers/laguerre/definition.tex @@ -15,16 +15,16 @@ x y''(x) + (\nu + 1 - x) y'(x) + n y(x) n \in \mathbb{N}_0 , \quad x \in \mathbb{R} -. \label{laguerre:dgl} +. \end{align} Spannenderweise wurde die verallgemeinerte Laguerre-Differentialgleichung zuerst von Yacovlevich Sonine (1849 - 1915) beschrieben, -aber auf Grund ihrer Ähnlichkeit wurde sie nach Laguerre benannt. +aber aufgrund ihrer Ähnlichkeit nach Laguerre benannt. Die klassische Laguerre-Diffentialgleichung erhält man, wenn $\nu = 0$. Hier wird die verallgemeinerte Laguerre-Differentialgleichung verwendet, -weil die Lösung mit der selben Methode berechnet werden kann, -aber man zusätzlich die Lösung für den allgmeinen Fall erhält. +weil die Lösung mit derselben Methode berechnet werden kann. +Zusätzlich erhält man aber die Lösung für den allgmeinen Fall. Zur Lösung von \eqref{laguerre:dgl} verwenden wir einen Potenzreihenansatz. Da wir bereits wissen, dass die Lösung orthogonale Polynome sind, @@ -47,7 +47,7 @@ y''(x) = \sum_{k=1}^\infty (k+1) k a_{k+1} x^{k-1} \end{align*} -in die Differentialgleichung ein, erhält man: +in die Differentialgleichung ein, erhält man \begin{align*} \sum_{k=1}^\infty (k+1) k a_{k+1} x^k + @@ -138,8 +138,10 @@ Differentialgleichung mit der Form \Xi_n(x) = L_n(x) \ln(x) + \sum_{k=1}^\infty d_k x^k +. \end{align*} -Nach einigen mühsamen Rechnungen, +Nach einigen aufwändigen Rechnungen, +% die am besten ein Computeralgebrasystem übernimmt, die den Rahmen dieses Kapitel sprengen würden, erhalten wir \begin{align*} diff --git a/buch/papers/laguerre/eigenschaften.tex b/buch/papers/laguerre/eigenschaften.tex index 9b901ae..4adbe86 100644 --- a/buch/papers/laguerre/eigenschaften.tex +++ b/buch/papers/laguerre/eigenschaften.tex @@ -3,24 +3,11 @@ % % (c) 2022 Patrik Müller, Ostschweizer Fachhochschule % -% \section{Eigenschaften -% \label{laguerre:section:eigenschaften}} -% { -% \large \color{red} -% TODO: -% Evtl. nur Orthogonalität hier behandeln, da nur diese für die Gauss-Quadratur -% benötigt wird. -% } - -% Die Laguerre-Polynome besitzen einige interessante Eigenschaften -% \rhead{Eigenschaften} - -% \subsection{Orthogonalität -% \label{laguerre:subsection:orthogonal}} \section{Orthogonalität \label{laguerre:section:orthogonal}} -Im Abschnitt~\ref{laguerre:section:definition} haben wir behauptet, -dass die Laguerre-Polynome orthogonale Polynome sind. +Im Abschnitt~\ref{laguerre:section:definition} +haben wir die Behauptung aufgestellt, +dass die Laguerre-Polynome orthogonal sind. Zu dieser Behauptung möchten wir nun einen Beweis liefern. Wenn wir \eqref{laguerre:dgl} in ein Sturm-Liouville-Problem umwandeln können, haben wir bewiesen, dass es sich @@ -40,7 +27,7 @@ und den Laguerre-Operator x \frac{d}{dx^2} + (\nu + 1 -x) \frac{d}{dx} \end{align} erhalten werden, -in dem wir diese Operatoren einander gleichsetzen. +indem wir diese Operatoren einander gleichsetzen. Aus der Beziehung \begin{align} S @@ -58,7 +45,7 @@ Ausserdem ist ersichtlich, dass $p(x)$ die Differentialgleichung \begin{align*} x \frac{dp}{dx} = --(\nu + 1 - x) p, +-(\nu + 1 - x) p \end{align*} erfüllen muss. Durch Separation erhalten wir dann @@ -76,6 +63,7 @@ Durch Separation erhalten wir dann p(x) & = -C x^{\nu + 1} e^{-x} +. \end{align*} Eingefügt in Gleichung~\eqref{laguerre:sl-lag} ergibt sich \begin{align*} @@ -117,14 +105,9 @@ Für den rechten Rand ist die Bedingung (Gleichung~\eqref{laguerre:sllag_randb}) 0 \end{align*} für beliebige Polynomlösungen erfüllt für $k_\infty=0$ und $h_\infty=1$. -Damit können wir schlussfolgern, dass die verallgemeinerten Laguerre-Polynome -orthogonal bezüglich des Skalarproduktes auf dem Intervall $(0, \infty)$ -mit der verallgemeinerten Laguerre\--Gewichtsfunktion $w(x)=x^\nu e^{-x}$ sind. +Damit können wir schlussfolgern: +Die verallgemeinerten Laguerre-Polynome sind orthogonal +bezüglich des Skalarproduktes auf dem Intervall $(0, \infty)$ +mit der verallgemeinerten Laguerre\--Gewichtsfunktion $w(x)=x^\nu e^{-x}$. Die Laguerre-Polynome ($\nu=0$) sind somit orthognal im Intervall $(0, \infty)$ mit der Gewichtsfunktion $w(x)=e^{-x}$. - -% \subsection{Rodrigues-Formel} - -% \subsection{Drei-Terme Rekursion} - -% \subsection{Beziehung mit der Hypergeometrischen Funktion} diff --git a/buch/papers/laguerre/gamma.tex b/buch/papers/laguerre/gamma.tex index b76daeb..2e5fc06 100644 --- a/buch/papers/laguerre/gamma.tex +++ b/buch/papers/laguerre/gamma.tex @@ -8,8 +8,8 @@ Die Gauss-Laguerre-Quadratur kann nun verwendet werden, um exponentiell abfallende Funktionen im Definitionsbereich $(0, \infty)$ zu berechnen. -Dabei bietet sich z.B. die Gamma-Funkion bestens an, wie wir in den folgenden -Abschnitten sehen werden. +Dabei bietet sich z.B. die Gamma-Funkion hervorragend an, +wie wir in den folgenden Abschnitten sehen werden. \subsection{Gamma-Funktion} Die Gamma-Funktion ist eine Erweiterung der Fakultät auf die reale und komplexe @@ -26,10 +26,12 @@ Integral der Form \label{laguerre:gamma} . \end{align} -Der Term $e^{-t}$ ist genau die Gewichtsfunktion der Laguerre-Integration und -der Definitionsbereich passt ebenfalls genau für dieses Verfahren. -Zu erwähnen ist auch, dass für die verallgemeinerte Laguerre-Integration die -Gewichtsfunktion $t^\nu e^{-t}$ genau dem Integranden für $\nu=z-1$ entspricht. +Der Term $e^{-t}$ im Integranden und der Integrationsbereich erfüllen +genau die Bedingungen der Laguerre-Integration. +% Der Term $e^{-t}$ ist genau die Gewichtsfunktion der Laguerre-Integration und +% der Definitionsbereich passt ebenfalls genau für dieses Verfahren. +Weiter zu erwähnen ist, dass für die verallgemeinerte Laguerre-Integration die +Gewichtsfunktion $t^\nu e^{-t}$ exakt dem Integranden für $\nu=z-1$ entspricht. \subsubsection{Funktionalgleichung} Die Gamma-Funktion besitzt die gleiche Rekursionsbeziehung wie die Fakultät, @@ -62,7 +64,8 @@ leicht in die linke Halbebene übersetzen und umgekehrt. \subsection{Berechnung mittels Gauss-Laguerre-Quadratur} In den vorherigen Abschnitten haben wir gesehen, dass sich die Gamma-Funktion bestens für die Gauss-Laguerre-Quadratur eignet. -Nun bieten sich uns zwei Optionen diese zu berechnen: +Nun bieten sich uns zwei Optionen, +diese zu berechnen: \begin{enumerate} \item Wir verwenden die verallgemeinerten Laguerre-Polynome, dann $f(x)=1$. \item Wir verwenden die Laguerre-Polynome, dann $f(x)=x^{z-1}$. @@ -92,7 +95,8 @@ und Nullstellen für unterschiedliche $z$. In \eqref{laguerre:quadratur_gewichte} ist ersichtlich, dass die Gewichte einfach zu berechnen sind. Auch die Nullstellen können vorgängig, -mittels eines geeigneten Verfahrens aus den Polynomen bestimmt werden. +mittels eines geeigneten Verfahrens, +aus den Polynomen bestimmt werden. Als problematisch könnte sich höchstens die zu integrierende Funktion $f(x)=x^{z-1}$ für $|z| \gg 0$ erweisen. Somit entscheiden wir uns aufgrund der vorherigen Punkte, @@ -101,7 +105,8 @@ die zweite Variante weiterzuverfolgen. \subsubsection{Direkter Ansatz} Wenden wir also die Gauss-Laguerre-Quadratur aus \eqref{laguerre:laguerrequadratur} auf die Gamma-Funktion -\eqref{laguerre:gamma} an ergibt sich +\eqref{laguerre:gamma} an, +ergibt sich \begin{align} \Gamma(z) \approx @@ -157,11 +162,12 @@ und als Stützstellen die Nullstellen des Laguerre-Polynomes $L_n$. Evaluieren wir den relativen Fehler unserer Approximation zeigt sich ein Bild wie in Abbildung~\ref{laguerre:fig:rel_error_simple}. Man kann sehen, -wie der relative Fehler Nullstellen aufweist für ganzzahlige $z \leq 2n$, -was laut der Theorie der Gauss-Quadratur auch zu erwarten ist, -denn die Approximation via Gauss-Quadratur -ist exakt für zu integrierende Polynome mit Grad $\leq 2n-1$ -und von $z$ auch noch $1$ abgezogen wird im Exponenten. +wie der relative Fehler Nullstellen aufweist für ganzzahlige $z \leq 2n$. +Laut der Theorie der Gauss-Quadratur auch ist das zu erwarten, +da die Approximation via Gauss-Quadratur +exakt ist für zu integrierende Polynome mit Grad $\leq 2n-1$ +und hinzukommt, +dass zudem von $z$ noch $1$ abgezogen wird im Exponenten. Es ist ersichtlich, dass sich für den Polynomgrad $n$ ein Interval gibt, in dem der relative Fehler minimal ist. @@ -347,7 +353,8 @@ m^* \end{align*} Allerdings ist die Funktion $R_{n,m}(\xi)$ unbeschränkt und hat die gleichen Probleme wie die Fehlerabschätzung des direkten Ansatzes. -Dazu müssten wir $\xi$ versuchen unter Kontrolle zu bringen, +Dazu müssten wir $\xi$ versuchen, +unter Kontrolle zu bringen, was ein äussersts schwieriges Unterfangen zu sein scheint. Da die Gauss-Quadratur aber sowieso nur wirklich praktisch sinnvoll für kleine $n$ ist, @@ -367,8 +374,8 @@ aus dieser Grafik nicht offensichtlich, aber sie scheint regelmässig zu sein. Es lässt die Vermutung aufkommen, dass die Restriktion von $m^* \in \mathbb{Z}$ Rundungsprobleme verursacht. -Wir versuchen dieses Problem via lineare Regression und -geeignete Rundung zu beheben. +Wir versuchen, +dieses Problem via lineare Regression und geeignete Rundung zu beheben. Den linearen Regressor \begin{align*} \hat{m} @@ -391,7 +398,7 @@ In Abbildung~\ref{laguerre:fig:schaetzung} sind die Resultate der linearen Regression aufgezeigt mit $\alpha = 1.34094$ und $\beta = 0.854093$. Die lineare Beziehung ist ganz klar ersichtlich und der Fit scheint zu genügen. -Der optimalen Verschiebungsterm kann nun mit +Der optimale Verschiebungsterm kann nun mit \begin{align*} m^* \approx @@ -423,7 +430,7 @@ dann beim Übergang auf die orange Linie wechselt. \caption{Relativer Fehler des Ansatzes mit Verschiebungsterm für verschiedene reele Werte von $z$ und Verschiebungsterme $m$. Das verwendete Laguerre-Polynom besitzt den Grad $n = 8$. -$m^*$ bezeichnet hier den optimalen Verschiebungsterm} +$m^*$ bezeichnet hier den optimalen Verschiebungsterm.} \label{laguerre:fig:rel_error_shifted} \end{figure} @@ -433,8 +440,8 @@ Es stellt sich nun die Frage, wie der relative Fehler sich für verschiedene $z$ und $n$ verhält. In Abbildung~\ref{laguerre:fig:rel_error_range} sind die relativen Fehler für unterschiedliche $n$ dargestellt. -Der relative Fehler scheint immer noch Nullstellen aufzuweisen, -bei für ganzzahlige $z$. +Der relative Fehler scheint immer noch Nullstellen aufzuweisen +für ganzzahlige $z$. Durch das Verschieben ergibt sich jetzt aber, wie zu erwarten war, ein periodischer relativer Fehler mit einer Periodendauer von $1$. @@ -511,7 +518,7 @@ Diese Methode wurde zum Beispiel in Diese Methode erreicht für $n = 7$ typischerweise Genauigkeit von $13$ korrekten, signifikanten Stellen für reele Argumente. Zum Vergleich: die vorgestellte Methode erreicht für $n = 7$ -eine minimale Genauigkeit von $6$-$7$ korrekten, signifikanten Stellen +eine minimale Genauigkeit von $6$ korrekten, signifikanten Stellen für reele Argumente. Das Resultat ist etwas enttäuschend, aber nicht unerwartet, @@ -519,7 +526,7 @@ da die Lanczos-Methode spezifisch auf dieses Problem zugeschnitten ist und unsere Methode eine erweiterte allgemeine Methode ist. Was die Komplexität der Berechnungen im Betrieb angeht, ist die Gauss-Laguerre-Quadratur wesentlich ressourcensparender, -weil sie nur aus $n$ Funktionasevaluationen, +weil sie nur aus $n$ Funktionsevaluationen, wenigen Multiplikationen und Additionen besteht. -Also könnte diese Methode z.B. Anwendung in Systemen mit wenig Rechenleistung +Demzufolge könnte diese Methode Anwendung in Systemen mit wenig Rechenleistung und/oder knappen Energieressourcen finden. \ No newline at end of file diff --git a/buch/papers/laguerre/main.tex b/buch/papers/laguerre/main.tex index d69fbed..57a6560 100644 --- a/buch/papers/laguerre/main.tex +++ b/buch/papers/laguerre/main.tex @@ -11,15 +11,19 @@ {\parindent0pt Die} Laguerre\--Polynome, benannt nach Edmond Laguerre (1834 - 1886), sind Lösungen der ebenfalls nach Laguerre benannten Differentialgleichung. -Laguerre entdeckte diese Polynome als er Approximationsmethoden -für das Integral $\int_0^\infty \exp(-x) / x \, dx$ suchte. +Laguerre entdeckte diese Polynome, als er Approximations\-methoden +für das Integral +% $\int_0^\infty \exp(-x) / x \, dx $ +\begin{align*} +\int_0^\infty \frac{e^{-x}}{x} \, dx +\end{align*} +suchte. Darum möchten wir uns in diesem Kapitel, ganz im Sinne des Entdeckers, den Laguerre-Polynomen für Approximationen von Integralen mit exponentiell-abfallenden Funktionen widmen. -Namentlich werden wir versuchen, -eine geeignete Approximation für die Gamma-Funktion zu finden -mittels Laguerre-Polynomen und der Gauss-Quadratur. +Namentlich werden wir versuchen, mittels Laguerre-Polynomen und +der Gauss-Quadratur eine geeignete Approximation für die Gamma-Funktion zu finden. Laguerre-Polynome tauchen zudem auch in der Quantenmechanik im radialen Anteil der Lösung für die Schrödinger-Gleichung eines Wasserstoffatoms auf. diff --git a/buch/papers/laguerre/quadratur.tex b/buch/papers/laguerre/quadratur.tex index 27519d8..a494362 100644 --- a/buch/papers/laguerre/quadratur.tex +++ b/buch/papers/laguerre/quadratur.tex @@ -6,19 +6,19 @@ \section{Gauss-Quadratur \label{laguerre:section:quadratur}} Die Gauss-Quadratur ist ein numerisches Integrationsverfahren, -welches die Eigenschaften von orthogonalen Polynomen ausnützt. +welches die Eigenschaften von orthogonalen Polynomen verwendet. Herleitungen und Analysen der Gauss-Quadratur können im Abschnitt~\ref{buch:orthogonal:section:gauss-quadratur} gefunden werden. Als grundlegende Idee wird die Beobachtung, dass viele Funktionen sich gut mit Polynomen approximieren lassen, verwendet. Stellt man also sicher, -dass ein Verfahren gut für Polynome gut funktioniert, -sollte es auch für andere Funktionen nicht schlecht funktionieren. +dass ein Verfahren gut für Polynome funktioniert, +sollte es auch für andere Funktionen angemessene Resultate liefern. Es wird ein Polynom verwendet, welches an den Punkten $x_0 < x_1 < \ldots < x_n$ die Funktionwerte~$f(x_i)$ annimmt. -Als Resultat kann das Integral via eine gewichtete Summe der Form +Als Resultat kann das Integral via einer gewichteten Summe der Form \begin{align} \int_a^b f(x) w(x) \, dx \approx @@ -44,11 +44,11 @@ a + \frac{1 - t}{t} auf das Intervall $[0, 1]$ transformiert, kann dies behoben werden. Für unseren Fall gilt $a = 0$. -Das Integral eines Polynomes in diesem Intervall ist immer divergent, -darum müssen wir das Polynome mit einer Funktion multiplizieren, +Das Integral eines Polynomes in diesem Intervall ist immer divergent. +Darum müssen wir das Polynom mit einer Funktion multiplizieren, die schneller als jedes Polynom gegen $0$ geht, damit das Integral immer noch konvergiert. -Die Laguerre-Polynome $L_n$ bieten hier Abhilfe, +Die Laguerre-Polynome $L_n$ schaffen hier Abhilfe, da ihre Gewichtsfunktion $w(x) = e^{-x}$ schneller gegen $0$ konvergiert als jedes Polynom. % In unserem Falle möchten wir die Gauss Quadratur auf die Laguerre-Polynome @@ -67,7 +67,7 @@ umformulieren: \subsubsection{Stützstellen und Gewichte} Nach der Definition der Gauss-Quadratur müssen als Stützstellen die Nullstellen des verwendeten Polynoms genommen werden. -Das heisst für das Laguerre-Polynom $L_n$ müssen dessen Nullstellen $x_i$ und +Für das Laguerre-Polynom $L_n$ müssen demnach dessen Nullstellen $x_i$ und als Gewichte $A_i$ die Integrale $l_i(x)e^{-x}$ verwendet werden. Dabei sind \begin{align*} @@ -146,7 +146,8 @@ x_i L'_n(x_i) (n + 1) L_{n+1}(x_i) . \end{align*} -Setzen wir das nun in \eqref{laguerre:gewichte_lag_temp} ein ergibt sich +Setzen wir das nun in \eqref{laguerre:gewichte_lag_temp} ein, +ergibt sich \begin{align} \nonumber A_i -- cgit v1.2.1 From 62f06c35b53971f99acdc4477da5e2be98a68c04 Mon Sep 17 00:00:00 2001 From: daHugen Date: Tue, 19 Jul 2022 16:43:52 +0200 Subject: made some changes --- buch/papers/lambertw/teil4.tex | 104 ++++++++++++++++++++++++++++++++++++----- 1 file changed, 93 insertions(+), 11 deletions(-) (limited to 'buch/papers') diff --git a/buch/papers/lambertw/teil4.tex b/buch/papers/lambertw/teil4.tex index 598a57e..6c70174 100644 --- a/buch/papers/lambertw/teil4.tex +++ b/buch/papers/lambertw/teil4.tex @@ -10,15 +10,15 @@ In diesem Abschnitt wird rechnerisch das Beispiel einer Verfolgungskurve beschre \subsection{Ziel bewegt sich auf einer Gerade \label{lambertw:subsection:malorum}} -Das zu verfolgende Ziel \(A\) wandert auf einer Gerade, wobei diese Gerade der \(y\)-Achse entspricht. Der Verfolger \(P\) startet auf einem beliebigen Punkt auf dem ersten Quadrant.Um die Rechnungen zu vereinfachen wir die Geschwindigkeit \(v\) auf 1 gesetzt. Diese Anfangspunkte oder Anfangsbedingungen können wie folgt formuliert werden: +Das zu verfolgende Ziel \(\overrightarrow{Z}\) wandert auf einer Gerade, wobei diese Gerade der \(y\)-Achse entspricht. Der Verfolger \(\overrightarrow{V}\) startet auf einem beliebigen Punkt auf dem ersten Quadrant. Um die Rechnungen zu vereinfachen wir die Geschwindigkeit \(v\) auf 1 gesetzt. Diese Anfangspunkte oder Anfangsbedingungen können wie folgt formuliert werden: \begin{equation} - A + \overrightarrow{Z} = \left( \begin{array}{c} 0 \\ v \cdot t \end{array} \right) = \left( \begin{array}{c} 0 \\ t \end{array} \right) ; - P + \overrightarrow{V} = \left( \begin{array}{c} x \\ y \end{array} \right) \label{lambertw:Anfangspunkte} @@ -79,12 +79,12 @@ Wenn man nun beidseitig die Quadratwurzel zieht, dann ergibt sich im Vergleich z = 0 \label{lambertw:equation5} \end{equation} -Um die Ableitung nach der Zeit wegzubringen wird beidseitig mit \(\dot{x}\) dividiert, wobei \(\frac{\dot{y}}{\dot{x}} = \frac{dy}{dt}/\frac{dx}{dt} = \frac{dy}{dx}\) entspricht. +Um die Ableitung nach der Zeit wegzubringen, wird beidseitig mit \(\dot{x}\) dividiert, wobei \(\frac{\dot{y}}{\dot{x}} = \frac{dy}{dt}/\frac{dx}{dt} = \frac{dy}{dx}\) entspricht. \[ x \frac{\dot{y}}{\dot{x}} + (t-y) \frac{\dot{x}}{\dot{x}} = 0 \] -Nach dem kürzen ergibt sich folgende DGL: +Nach dem Kürzen und Vereinfachen ergibt sich folgende DGL: \begin{equation} x y^{\prime} + t - y = 0 @@ -146,21 +146,103 @@ Diese kann mit den selben Methoden gelöst werden, diesmal in Kombination mit de &= \int \frac{1}{2} (e^{ln(x)+C} - e^{-(ln(x)+C)}) \\ &= - C_1 + C_2 x^2 - C_3 ln(x) + \frac{e^C}{4} x^2 - \frac{ln(x)}{2 \cdot e^C} + C_1 \\ + &= + C_1 + C_2 x^2 - \frac{ln(x)}{8 \cdot C_2} \end{align*} -Das Resultat wie ersichtlich ist folgende Funktion welche mittels Anfangsbedingungen parametrisiert werden kann: + +\begin{figure} + \centering + \includegraphics{papers/lambertw/Bilder/VerfolgungskurveBsp.png} + \caption[Graph der Verfolgungskurve]{Graph der Verfolgungskurve wobei, ({\color{red}rot}) die Funktion \ensuremath{y(x)} ist, ({\color{darkgreen}grün}) der quadratische Teil und ({\color{blue}blau}) dem \ensuremath{ln(x)}-Teil entspricht. + \label{lambertw:funkLoes} + } +\end{figure} + +Das Resultat, wie ersichtlich, ist folgende Funktion \eqref{lambertw:funkLoes} welche mittels Anfangsbedingungen parametrisiert werden kann: \begin{equation} - y(x) + {\color{red}{y(x)}} = - C_1 + C_2 x^2 - C_3 ln(x) + C_1 + C_2 {\color{darkgreen}{x^2}} {\color{blue}{-}} \frac{\color{blue}{ln(x)}}{8 \cdot C_2} \label{lambertw:funkLoes} \end{equation} -Für die Koeffizienten \(C_1, C_2\) und \(C_3\) ergibt sich ein Anfangswertproblem, welches für deren Bestimmung gelöst werden muss. Zuerst soll aber eine qualitative Intuition, oder Idee für das Aussehen der Funktion \(\bf{y(x)}\) geschaffen werden: +Für die Koeffizienten \(C_1\) und \(C_2\) ergibt sich ein Anfangswertproblem, welches für deren Bestimmung gelöst werden muss. Zuerst soll aber eine qualitative Intuition, oder Idee für das Aussehen der Funktion \(\bf{y(x)}\) geschaffen werden: \begin{itemize} \item Für grosse \(x\)-Werte welche in der Regel in der Nähe von \(x_0\) sein sollten, ist der quadratisch Term in der Funktion dominant und somit für immer kleiner werdende \(x\) geht der Verfolger in Richtung \(y\)-Achse wobei seine Steigung stetig sinkt, was Sinn macht wenn der Verfolgte entlang der \(y\)-Achse steigt. \item Für \(x\)-Werte in der Nähe von \(0\) ist das asymptotische Verhalten des Logarithmus dominant, dies macht auch Sinn da sich der Verfolgte auf der \(y\)-Achse bewegt und der Verfolger im nachgeht. \item - Aufgrund des Monotoniewechsels in der Kurve muss die Kurve auch ein Minimum aufweisen. Es stellt sich nun die Frage: Wo befindet sich dieser Punkt? Durch eine logische Überlegung kann eine Abschätzung darüber getroffen werden und zwar, dass dieser dann entsteht, wenn \(A\) und \(P\) die gleiche \(y\)-Koordinaten besitzen. In diesem Moment ändert die Richtung der \(y\)-Komponente der Geschwindigkeit und somit auch sein Vorzeichen. + Aufgrund des Monotoniewechsels in der Kurve muss es auch ein Minimum aufweisen. Es stellt sich nun die Frage: Wo befindet sich dieser Punkt? Durch eine logische Überlegung kann eine Abschätzung darüber getroffen werden und zwar, dass dieser dann entsteht, wenn \(A\) und \(P\) die gleiche \(y\)-Koordinaten besitzen. In diesem Moment ändert die Richtung der \(y\)-Komponente der Geschwindigkeit und somit auch sein Vorzeichen. \end{itemize} +Alle diese Eigenschafte stimmen mit dem überein, was man von einer Kurve dieser Art erwarten würde. Nun stellt sich die Frage wie die Kurve wirklich aussieht, dies wird durch das Einsetzen folgender Anfangsbedingungen erreicht: +\begin{equation} + y(x)\big \vert_{t=0} + = + y(x_0) + = + y_0 + \:;\: + \frac{dy}{dx}\bigg \vert_{t=0} + = + y^{\prime}(x_0) + = + \frac{y_0}{x_0} +\end{equation} +Leitet man die Funktion \eqref{lambertw:funkLoes} nach x ab und setzt die Anfangsbedingungen ein, dann ergibt sich folgendes Gleichungssystem: +\begin{subequations} + \begin{align} + y_0 + &= + C_1 + C_2 x^2_0 - \frac{ln(x_0)}{8 \cdot C_2} \\ + \frac{y_0}{x_0} + &= + 2 \cdot C_2 x_0 - \frac{ln(x_0)}{8 \cdot C_2} + \end{align} +\end{subequations} +... Mit folgenden Formeln geht es weiter: +\begin{align*} + \eta + &= + \left(\frac{x}{x_0}\right)^2 + \:;\: + r_0 + = + \sqrt{x_0^2+y_0^2} \\ + y + &= + \frac{1}{4}\left(\left(y_0+r_0\right)\eta+\left(r_0-y_0\right)ln\left(\eta\right)-r_0+3y_0\right) \\ + y^\prime + &= + \frac{1}{2}\left(\left(y_0+r_0\right)\frac{x}{x_0^2}+\left(r_0-y_0\right)\frac{1}{x}\right) \\ + -4t + &= + \left(y_0+r_0\right)\left(\eta-1\right)+\left(r_0-y_0\right)ln\left(\eta\right) \\ + -4t+\left(y_0+r_0\right) + &= + \left(y_0+r_0\right)\eta+\left(r_0-y_0\right)ln\left(\eta\right) \\ + e^{-4t+\left(y_0+r_0\right)} + &= + e^{\left(y_0+r_0\right)\eta}\cdot\eta^{\left(r_0-y_0\right)} \\ + e^{\frac{-4t}{r_0-y_0}+\frac{y_0+r_0}{r_0-y_0}} + &= + e^{\frac{y_0+r_0}{r_0-y_0}\eta}\cdot\eta\ \\ + \chi + &= + \frac{y_0+r_0}{r_0-y_0}; \cdot\chi \\ + \chi\cdot e^{\chi-\frac{4t}{r_0-y_0}} + &= + \chi\eta\cdot e^{\chi\eta} \\ + W\left(\chi\cdot e^{\chi-\frac{4t}{r_0-y_0}}\right) + &= + \chi\eta \\ + \frac{W\left(\chi\cdot e^{\chi-\frac{4t}{r_0-y_0}}\right)}{\chi} + &= + \eta \\ + x\left(t\right) + &= + \sqrt{\frac{W\left(\chi\cdot e^{\chi-\frac{4t}{r_0-y_0}}\right)}{\chi}} \\ + \frac{W\left(\chi\cdot e^{\chi-\frac{4t}{r_0-y_0}}\right)}{\chi} + &= + \left(\frac{x}{x_0}\right)^2 +\end{align*} -- cgit v1.2.1 From 9421fec277f1671393a1a9c517e521f4b924e39d Mon Sep 17 00:00:00 2001 From: daHugen Date: Tue, 19 Jul 2022 16:46:02 +0200 Subject: added a picture --- buch/papers/lambertw/Bilder/VerfolgungskurveBsp.png | Bin 0 -> 124329 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 buch/papers/lambertw/Bilder/VerfolgungskurveBsp.png (limited to 'buch/papers') diff --git a/buch/papers/lambertw/Bilder/VerfolgungskurveBsp.png b/buch/papers/lambertw/Bilder/VerfolgungskurveBsp.png new file mode 100644 index 0000000..53eb2f9 Binary files /dev/null and b/buch/papers/lambertw/Bilder/VerfolgungskurveBsp.png differ -- cgit v1.2.1 From c8634d0feb99ab7afc46c27831202cecc29c9252 Mon Sep 17 00:00:00 2001 From: Kuster Yanik Date: Tue, 19 Jul 2022 16:47:17 +0200 Subject: Excluded unused parts. --- buch/papers/lambertw/Bilder/pursuerDGL2.ggb | Bin 36225 -> 17954 bytes buch/papers/lambertw/Bilder/pursuerDGL2.pdf | Bin 0 -> 17941 bytes buch/papers/lambertw/main.tex | 6 +- buch/papers/lambertw/teil0.log | 3656 +++++++++++++++++++++++++++ buch/papers/lambertw/teil0.tex | 89 +- buch/papers/lambertw/teil1.log | 3259 ++++++++++++++++++++++++ buch/papers/lambertw/teil2.log | 1580 ++++++++++++ buch/papers/lambertw/teil3.log | 1580 ++++++++++++ 8 files changed, 10136 insertions(+), 34 deletions(-) create mode 100644 buch/papers/lambertw/Bilder/pursuerDGL2.pdf create mode 100644 buch/papers/lambertw/teil0.log create mode 100644 buch/papers/lambertw/teil1.log create mode 100644 buch/papers/lambertw/teil2.log create mode 100644 buch/papers/lambertw/teil3.log (limited to 'buch/papers') diff --git a/buch/papers/lambertw/Bilder/pursuerDGL2.ggb b/buch/papers/lambertw/Bilder/pursuerDGL2.ggb index 5bd816c..0bd39b2 100644 Binary files a/buch/papers/lambertw/Bilder/pursuerDGL2.ggb and b/buch/papers/lambertw/Bilder/pursuerDGL2.ggb differ diff --git a/buch/papers/lambertw/Bilder/pursuerDGL2.pdf b/buch/papers/lambertw/Bilder/pursuerDGL2.pdf new file mode 100644 index 0000000..284dd7d Binary files /dev/null and b/buch/papers/lambertw/Bilder/pursuerDGL2.pdf differ diff --git a/buch/papers/lambertw/main.tex b/buch/papers/lambertw/main.tex index 6e9bbe0..68b7a5d 100644 --- a/buch/papers/lambertw/main.tex +++ b/buch/papers/lambertw/main.tex @@ -28,9 +28,9 @@ Bilden Sie auch für Formeln kurze Zeilen, einerseits der besseren \end{itemize} \input{papers/lambertw/teil0.tex} -\input{papers/lambertw/teil1.tex} -\input{papers/lambertw/teil2.tex} -\input{papers/lambertw/teil3.tex} +%\input{papers/lambertw/teil1.tex} +%\input{papers/lambertw/teil2.tex} +%\input{papers/lambertw/teil3.tex} \input{papers/lambertw/teil4.tex} \printbibliography[heading=subbibliography] diff --git a/buch/papers/lambertw/teil0.log b/buch/papers/lambertw/teil0.log new file mode 100644 index 0000000..f5b3f0d --- /dev/null +++ b/buch/papers/lambertw/teil0.log @@ -0,0 +1,3656 @@ +This is pdfTeX, Version 3.141592653-2.6-1.40.23 (MiKTeX 21.8) (preloaded format=pdflatex 2021.9.21) 19 JUL 2022 16:20 +entering extended mode +**./teil0.tex +(teil0.tex +LaTeX2e <2021-06-01> patch level 1 +L3 programming layer <2021-08-27> +! 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Try typing to proceed. +If that doesn't work, type X to quit. + +Missing character: There is no W in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no V in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no k in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no v in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no ? in font nullfont! +! Undefined control sequence. +l.8 \rhead + {Teil 0} +The control sequence at the end of the top line +of your error message was never \def'ed. If you have +misspelled it (e.g., `\hobx'), type `I' and the correct +spelling (e.g., `I\hbox'). Otherwise just continue, +and I'll forget about whatever was undefined. + +Missing character: There is no T in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no 0 in font nullfont! + +Overfull \hbox (20.0pt too wide) in paragraph at lines 6--9 +[] + [] + + +! LaTeX Error: Missing \begin{document}. + +See the LaTeX manual or LaTeX Companion for explanation. +Type H for immediate help. + ... + +l.10 V + erfolgungskurven tauchen oft auf bei fragen wie, welchen Pfad begeht e... + +You're in trouble here. Try typing to proceed. +If that doesn't work, type X to quit. + +Missing character: There is no V in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no k in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no v in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no w in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no , in font nullfont! +Missing character: There is no w in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no P in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no H in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no w in font nullfont! +LaTeX Font Info: Trying to load font information for +cmr on input line 10. +LaTeX Font Info: No file cmr.fd. on input line 10. + +LaTeX Font Warning: Font shape `/cmr/m/n' undefined +(Font) using `/cmr/m/n' instead on input line 10. + +! Corrupted NFSS tables. +wrong@fontshape ...message {Corrupted NFSS tables} + error@fontshape else let f... +l.10 ...agen wie, welchen Pfad begeht ein Hund wä + hrend er einer Katze nachr... +This error message was generated by an \errmessage +command, so I can't give any explicit help. +Pretend that you're Hercule Poirot: Examine all clues, +and deduce the truth by order and method. + + +LaTeX Font Warning: Font shape `/cmr/m/n' undefined +(Font) using `OT1/cmr/m/n' instead on input line 10. + +Missing character: There is no h in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no K in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no z in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no . in font nullfont! +Missing character: There is no E in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no P in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no K in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no V in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no Z in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no . in font nullfont! +Missing character: There is no D in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no V in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no v in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no Z in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no z in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no Z in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no v in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no z in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no k in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no . in font nullfont! +Missing character: There is no D in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no P in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no , in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no V in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no w in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no V in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no , in font nullfont! +Missing character: There is no w in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no V in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no k in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no v in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no . in font nullfont! +Missing character: There is no U in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no K in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no v in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no z in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no , in font nullfont! +Missing character: There is no k in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no V in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no D in font nullfont! +Missing character: There is no G in font nullfont! +Missing character: There is no L in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no w in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no . in font nullfont! +Missing character: There is no D in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no D in font nullfont! +Missing character: There is no G in font nullfont! +Missing character: There is no L in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no V in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no V in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no . in font nullfont! + +Overfull \hbox (20.0pt too wide) in paragraph at lines 10--11 +[] + [] + + +Overfull \hbox (10.00003pt too wide) in paragraph at lines 10--11 +\/cmr/m/n/10 a + [] + + +Overfull \hbox (5.00002pt too wide) in paragraph at lines 10--11 +\/cmr/m/n/10 a + [] + +! Undefined control sequence. +l.13 \subsection + {Verfolger und Verfolgungsstrategie +The control sequence at the end of the top line +of your error message was never \def'ed. If you have +misspelled it (e.g., `\hobx'), type `I' and the correct +spelling (e.g., `I\hbox'). Otherwise just continue, +and I'll forget about whatever was undefined. + + +! LaTeX Error: Missing \begin{document}. + +See the LaTeX manual or LaTeX Companion for explanation. +Type H for immediate help. + ... + +l.13 \subsection{V + erfolger und Verfolgungsstrategie +You're in trouble here. Try typing to proceed. +If that doesn't work, type X to quit. + +Missing character: There is no V in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no V in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no W in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no w in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no , in font nullfont! +Missing character: There is no w in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no V in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no V in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no . in font nullfont! +Missing character: There is no W in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no , in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no V in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no V in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no . in font nullfont! +Missing character: There is no D in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no v in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no S in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no , in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no V in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no w in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no k in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no . in font nullfont! +Missing character: There is no D in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no S in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no F in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no z in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no P in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no , in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no V in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no k in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no k in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no . in font nullfont! +Missing character: There is no D in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no V in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no k in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no E in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no G in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no w in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no k in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no v in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no k in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no . in font nullfont! +Missing character: There is no M in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no k in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no R in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no B in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no A in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no z in font nullfont! +Missing character: There is no w in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no V in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no Z in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no k in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no . in font nullfont! +Missing character: There is no W in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no z in font nullfont! +Missing character: There is no w in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no P in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no S in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no w in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no , in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no . in font nullfont! +Missing character: There is no D in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no , in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no S in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no z in font nullfont! +Missing character: There is no w in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no P in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no , in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no V in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no k in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no z in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no . in font nullfont! + +Overfull \hbox (20.0pt too wide) in paragraph at lines 13--16 +[] + [] + + +Overfull \hbox (5.00002pt too wide) in paragraph at lines 13--16 +\/cmr/m/n/10 a + [] + + +Overfull \hbox (5.00002pt too wide) in paragraph at lines 13--16 +\/cmr/m/n/10 a + [] + + +Overfull \hbox (5.00002pt too wide) in paragraph at lines 13--16 +\/cmr/m/n/10 o + [] + + +Overfull \hbox (5.00002pt too wide) in paragraph at lines 13--16 +\/cmr/m/n/10 a + [] + + +Overfull \hbox (5.00002pt too wide) in paragraph at lines 13--16 +\/cmr/m/n/10 o + [] + + +Overfull \hbox (5.00002pt too wide) in paragraph at lines 13--16 +\/cmr/m/n/10 o + [] + + +! LaTeX Error: Environment table undefined. + +See the LaTeX manual or LaTeX Companion for explanation. +Type H for immediate help. + ... + +l.17 \begin{table} + +Your command was ignored. +Type I to replace it with another command, +or to continue without it. + + +! LaTeX Error: Missing \begin{document}. + +See the LaTeX manual or LaTeX Companion for explanation. +Type H for immediate help. + ... + +l.18 \begin{tabular} + {|>{$}c<{$}|>{$}c<{$}|>{$}c<{$}|>{$}c<{$}|} +You're in trouble here. Try typing to proceed. +If that doesn't work, type X to quit. + +LaTeX Font Info: External font `cmex10' loaded for size +(Font) <7> on input line 18. +LaTeX Font Info: External font `cmex10' loaded for size +(Font) <5> on input line 18. + +! LaTeX Error: Illegal character in array arg. + +See the LaTeX manual or LaTeX Companion for explanation. +Type H for immediate help. + ... + +l.18 ...|>{$}c<{$}|>{$}c<{$}|>{$}c<{$}|>{$}c<{$}|} + +You're in trouble here. Try typing to proceed. +If that doesn't work, type X to quit. + + +! LaTeX Error: Illegal character in array arg. + +See the LaTeX manual or LaTeX Companion for explanation. +Type H for immediate help. + ... + +l.18 ...|>{$}c<{$}|>{$}c<{$}|>{$}c<{$}|>{$}c<{$}|} + +You're in trouble here. Try typing to proceed. +If that doesn't work, type X to quit. + + +! LaTeX Error: Illegal character in array arg. + +See the LaTeX manual or LaTeX Companion for explanation. +Type H for immediate help. + ... + +l.18 ...|>{$}c<{$}|>{$}c<{$}|>{$}c<{$}|>{$}c<{$}|} + +You're in trouble here. Try typing to proceed. +If that doesn't work, type X to quit. + + +! LaTeX Error: Illegal character in array arg. + +See the LaTeX manual or LaTeX Companion for explanation. +Type H for immediate help. + ... + +l.18 ...|>{$}c<{$}|>{$}c<{$}|>{$}c<{$}|>{$}c<{$}|} + +You're in trouble here. Try typing to proceed. +If that doesn't work, type X to quit. + + +! LaTeX Error: Illegal character in array arg. + +See the LaTeX manual or LaTeX Companion for explanation. +Type H for immediate help. + ... + +l.18 ...|>{$}c<{$}|>{$}c<{$}|>{$}c<{$}|>{$}c<{$}|} + +You're in trouble here. Try typing to proceed. +If that doesn't work, type X to quit. + + +! LaTeX Error: Illegal character in array arg. + +See the LaTeX manual or LaTeX Companion for explanation. +Type H for immediate help. + ... + +l.18 ...|>{$}c<{$}|>{$}c<{$}|>{$}c<{$}|>{$}c<{$}|} + +You're in trouble here. Try typing to proceed. +If that doesn't work, type X to quit. + + +! LaTeX Error: Illegal character in array arg. + +See the LaTeX manual or LaTeX Companion for explanation. +Type H for immediate help. + ... + +l.18 ...|>{$}c<{$}|>{$}c<{$}|>{$}c<{$}|>{$}c<{$}|} + +You're in trouble here. Try typing to proceed. +If that doesn't work, type X to quit. + + +! LaTeX Error: Illegal character in array arg. + +See the LaTeX manual or LaTeX Companion for explanation. +Type H for immediate help. + ... + +l.18 ...|>{$}c<{$}|>{$}c<{$}|>{$}c<{$}|>{$}c<{$}|} + +You're in trouble here. Try typing to proceed. +If that doesn't work, type X to quit. + + +! LaTeX Error: Illegal character in array arg. + +See the LaTeX manual or LaTeX Companion for explanation. +Type H for immediate help. + ... + +l.18 ...|>{$}c<{$}|>{$}c<{$}|>{$}c<{$}|>{$}c<{$}|} + +You're in trouble here. Try typing to proceed. +If that doesn't work, type X to quit. + + +! LaTeX Error: Illegal character in array arg. + +See the LaTeX manual or LaTeX Companion for explanation. +Type H for immediate help. + ... + +l.18 ...|>{$}c<{$}|>{$}c<{$}|>{$}c<{$}|>{$}c<{$}|} + +You're in trouble here. Try typing to proceed. +If that doesn't work, type X to quit. + + +! LaTeX Error: Illegal character in array arg. + +See the LaTeX manual or LaTeX Companion for explanation. +Type H for immediate help. + ... + +l.18 ...|>{$}c<{$}|>{$}c<{$}|>{$}c<{$}|>{$}c<{$}|} + +You're in trouble here. Try typing to proceed. +If that doesn't work, type X to quit. + + +! LaTeX Error: Illegal character in array arg. + +See the LaTeX manual or LaTeX Companion for explanation. +Type H for immediate help. + ... + +l.18 ...|>{$}c<{$}|>{$}c<{$}|>{$}c<{$}|>{$}c<{$}|} + +You're in trouble here. Try typing to proceed. +If that doesn't work, type X to quit. + + +! LaTeX Error: Illegal character in array arg. + +See the LaTeX manual or LaTeX Companion for explanation. +Type H for immediate help. + ... + +l.18 ...|>{$}c<{$}|>{$}c<{$}|>{$}c<{$}|>{$}c<{$}|} + +You're in trouble here. Try typing to proceed. +If that doesn't work, type X to quit. + + +! LaTeX Error: Illegal character in array arg. + +See the LaTeX manual or LaTeX Companion for explanation. +Type H for immediate help. + ... + +l.18 ...|>{$}c<{$}|>{$}c<{$}|>{$}c<{$}|>{$}c<{$}|} + +You're in trouble here. Try typing to proceed. +If that doesn't work, type X to quit. + + +! LaTeX Error: Illegal character in array arg. + +See the LaTeX manual or LaTeX Companion for explanation. +Type H for immediate help. + ... + +l.18 ...|>{$}c<{$}|>{$}c<{$}|>{$}c<{$}|>{$}c<{$}|} + +You're in trouble here. Try typing to proceed. +If that doesn't work, type X to quit. + + +! LaTeX Error: Illegal character in array arg. + +See the LaTeX manual or LaTeX Companion for explanation. +Type H for immediate help. + ... + +l.18 ...|>{$}c<{$}|>{$}c<{$}|>{$}c<{$}|>{$}c<{$}|} + +You're in trouble here. Try typing to proceed. +If that doesn't work, type X to quit. + +! Undefined control sequence. + \text + +l.20 \text + {}&\text{Geschwindigkeit}&\text{Abstand}&\text{Richtung}\\ +The control sequence at the end of the top line +of your error message was never \def'ed. If you have +misspelled it (e.g., `\hobx'), type `I' and the correct +spelling (e.g., `I\hbox'). Otherwise just continue, +and I'll forget about whatever was undefined. + +! Undefined control sequence. +l.20 \text{}&\text + {Geschwindigkeit}&\text{Abstand}&\text{Richtung}\\ +The control sequence at the end of the top line +of your error message was never \def'ed. If you have +misspelled it (e.g., `\hobx'), type `I' and the correct +spelling (e.g., `I\hbox'). Otherwise just continue, +and I'll forget about whatever was undefined. + +Missing character: There is no G in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no w in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no k in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no t in font nullfont! +! Undefined control sequence. +l.20 \text{}&\text{Geschwindigkeit}&\text + {Abstand}&\text{Richtung}\\ +The control sequence at the end of the top line +of your error message was never \def'ed. If you have +misspelled it (e.g., `\hobx'), type `I' and the correct +spelling (e.g., `I\hbox'). Otherwise just continue, +and I'll forget about whatever was undefined. + +Missing character: There is no A in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +! Undefined control sequence. +l.20 ...text{Geschwindigkeit}&\text{Abstand}&\text + {Richtung}\\ +The control sequence at the end of the top line +of your error message was never \def'ed. If you have +misspelled it (e.g., `\hobx'), type `I' and the correct +spelling (e.g., `I\hbox'). Otherwise just continue, +and I'll forget about whatever was undefined. + +Missing character: There is no R in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no g in font nullfont! +! Undefined control sequence. + \text + +l.22 \text + {Strategie 1} +The control sequence at the end of the top line +of your error message was never \def'ed. If you have +misspelled it (e.g., `\hobx'), type `I' and the correct +spelling (e.g., `I\hbox'). Otherwise just continue, +and I'll forget about whatever was undefined. + +Missing character: There is no S in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no 1 in font nullfont! +! Undefined control sequence. +l.23 & \text + {konstant} & \text{-} & \text{direkt auf Ziel hinzu}\\ +The control sequence at the end of the top line +of your error message was never \def'ed. If you have +misspelled it (e.g., `\hobx'), type `I' and the correct +spelling (e.g., `I\hbox'). Otherwise just continue, +and I'll forget about whatever was undefined. + +Missing character: There is no k in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no t in font nullfont! +! Undefined control sequence. +l.23 & \text{konstant} & \text + {-} & \text{direkt auf Ziel hinzu}\\ +The control sequence at the end of the top line +of your error message was never \def'ed. If you have +misspelled it (e.g., `\hobx'), type `I' and the correct +spelling (e.g., `I\hbox'). Otherwise just continue, +and I'll forget about whatever was undefined. + +Missing character: There is no - in font nullfont! +! Undefined control sequence. +l.23 & \text{konstant} & \text{-} & \text + {direkt auf Ziel hinzu}\\ +The control sequence at the end of the top line +of your error message was never \def'ed. If you have +misspelled it (e.g., `\hobx'), type `I' and the correct +spelling (e.g., `I\hbox'). Otherwise just continue, +and I'll forget about whatever was undefined. + +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no k in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no Z in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no z in font nullfont! +Missing character: There is no u in font nullfont! +! Undefined control sequence. +l.25 \text + {Strategie 2} +The control sequence at the end of the top line +of your error message was never \def'ed. If you have +misspelled it (e.g., `\hobx'), type `I' and the correct +spelling (e.g., `I\hbox'). Otherwise just continue, +and I'll forget about whatever was undefined. + +Missing character: There is no S in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no 2 in font nullfont! +! Undefined control sequence. +l.26 & \text + {-} & \text{konstant} & \text{direkt auf Ziel hinzu}\\ +The control sequence at the end of the top line +of your error message was never \def'ed. If you have +misspelled it (e.g., `\hobx'), type `I' and the correct +spelling (e.g., `I\hbox'). Otherwise just continue, +and I'll forget about whatever was undefined. + +Missing character: There is no - in font nullfont! +! Undefined control sequence. +l.26 & \text{-} & \text + {konstant} & \text{direkt auf Ziel hinzu}\\ +The control sequence at the end of the top line +of your error message was never \def'ed. If you have +misspelled it (e.g., `\hobx'), type `I' and the correct +spelling (e.g., `I\hbox'). Otherwise just continue, +and I'll forget about whatever was undefined. + +Missing character: There is no k in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no t in font nullfont! +! Undefined control sequence. +l.26 & \text{-} & \text{konstant} & \text + {direkt auf Ziel hinzu}\\ +The control sequence at the end of the top line +of your error message was never \def'ed. If you have +misspelled it (e.g., `\hobx'), type `I' and the correct +spelling (e.g., `I\hbox'). Otherwise just continue, +and I'll forget about whatever was undefined. + +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no k in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no Z in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no z in font nullfont! +Missing character: There is no u in font nullfont! +! Undefined control sequence. +l.28 \text + {Strategie 3} +The control sequence at the end of the top line +of your error message was never \def'ed. If you have +misspelled it (e.g., `\hobx'), type `I' and the correct +spelling (e.g., `I\hbox'). Otherwise just continue, +and I'll forget about whatever was undefined. + +Missing character: There is no S in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no 3 in font nullfont! +! Undefined control sequence. +l.29 & \text + {konstant} & \text{-} & \text{etwas voraus Zielen}\\ +The control sequence at the end of the top line +of your error message was never \def'ed. If you have +misspelled it (e.g., `\hobx'), type `I' and the correct +spelling (e.g., `I\hbox'). Otherwise just continue, +and I'll forget about whatever was undefined. + +Missing character: There is no k in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no t in font nullfont! +! Undefined control sequence. +l.29 & \text{konstant} & \text + {-} & \text{etwas voraus Zielen}\\ +The control sequence at the end of the top line +of your error message was never \def'ed. If you have +misspelled it (e.g., `\hobx'), type `I' and the correct +spelling (e.g., `I\hbox'). Otherwise just continue, +and I'll forget about whatever was undefined. + +Missing character: There is no - in font nullfont! +! Undefined control sequence. +l.29 & \text{konstant} & \text{-} & \text + {etwas voraus Zielen}\\ +The control sequence at the end of the top line +of your error message was never \def'ed. If you have +misspelled it (e.g., `\hobx'), type `I' and the correct +spelling (e.g., `I\hbox'). Otherwise just continue, +and I'll forget about whatever was undefined. + +Missing character: There is no e in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no w in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no v in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no Z in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! + +! LaTeX Error: \begin{document} ended by \end{table}. + +See the LaTeX manual or LaTeX Companion for explanation. +Type H for immediate help. + ... + +l.33 \end{table} + +Your command was ignored. +Type I to replace it with another command, +or to continue without it. + + +Overfull \hbox (20.00006pt too wide) in paragraph at lines 18--34 +[][] + [] + + +! LaTeX Error: Missing \begin{document}. + +See the LaTeX manual or LaTeX Companion for explanation. +Type H for immediate help. + ... + +l.42 I + n der Tabelle \eqref{lambertw:Strategien} sind drei mögliche Strategi... + +You're in trouble here. Try typing to proceed. +If that doesn't work, type X to quit. + +Missing character: There is no I in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no T in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no e in font nullfont! +! Undefined control sequence. +l.42 In der Tabelle \eqref + {lambertw:Strategien} sind drei mögliche Strategi... +The control sequence at the end of the top line +of your error message was never \def'ed. If you have +misspelled it (e.g., `\hobx'), type `I' and the correct +spelling (e.g., `I\hbox'). Otherwise just continue, +and I'll forget about whatever was undefined. + +Missing character: There is no l in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no w in font nullfont! +Missing character: There is no : in font nullfont! +Missing character: There is no S in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no S in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no z in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no . in font nullfont! +Missing character: There is no F in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no w in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no S in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no 1 in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no . in font nullfont! +Missing character: There is no B in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no S in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no G in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no w in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no k in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no k in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no V in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no w in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no k in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no Z in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no z in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no . in font nullfont! +Missing character: There is no I in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no G in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no k in font nullfont! +! Undefined control sequence. +l.45 In der Grafik \eqref + {lambertw:pursuerDGL2} ist das Problem dargestellt. +The control sequence at the end of the top line +of your error message was never \def'ed. If you have +misspelled it (e.g., `\hobx'), type `I' and the correct +spelling (e.g., `I\hbox'). Otherwise just continue, +and I'll forget about whatever was undefined. + +Missing character: There is no l in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no w in font nullfont! +Missing character: There is no : in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no D in font nullfont! +Missing character: There is no G in font nullfont! +Missing character: There is no L in font nullfont! +Missing character: There is no 2 in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no P in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no . in font nullfont! +Missing character: There is no W in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no O in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no v in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no k in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no V in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no , in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no O in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no v in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no k in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no Z in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no G in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no w in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no k in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no v in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no k in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no V in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no . in font nullfont! +Missing character: There is no D in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no k in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no G in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no w in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no k in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no k in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no G in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no g in font nullfont! + +Overfull \hbox (20.0pt too wide) in paragraph at lines 42--48 +[] + [] + + +Overfull \hbox (5.00002pt too wide) in paragraph at lines 42--48 +\/cmr/m/n/10 o + [] + + +Overfull \hbox (5.00002pt too wide) in paragraph at lines 42--48 +\/cmr/m/n/10 a + [] + + +Overfull \hbox (10.00023pt too wide) in paragraph at lines 42--48 +[]$ + [] + + +Overfull \hbox (10.00023pt too wide) in paragraph at lines 42--48 +[]$ + [] + + +Overfull \hbox (10.00023pt too wide) in paragraph at lines 42--48 +[]$ + [] + +! Undefined control sequence. +l.51 \quad|A\in\mathbb + {R}>0 +The control sequence at the end of the top line +of your error message was never \def'ed. If you have +misspelled it (e.g., `\hobx'), type `I' and the correct +spelling (e.g., `I\hbox'). Otherwise just continue, +and I'll forget about whatever was undefined. + + +Overfull \hbox (122.89459pt too wide) detected at line 52 +\OMS/cmsy/m/n/10 j[]j \/cmr/m/n/10 = \OML/cmm/m/it/10 konst \/cmr/m/n/10 = \OML +/cmm/m/it/10 A \OMS/cmsy/m/n/10 j\OML/cmm/m/it/10 A \OMS/cmsy/m/n/10 2 \OML/cmm +/m/it/10 R > \/cmr/m/n/10 0 + [] + +Missing character: There is no d in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no . in font nullfont! +Missing character: There is no D in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no G in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no w in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no k in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no v in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no k in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no w in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no k in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no G in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no g in font nullfont! + +Overfull \hbox (81.8452pt too wide) detected at line 58 +[] \OMS/cmsy/m/n/10  j[]j \/cmr/m/n/10 = [] + [] + +Missing character: There is no b in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no w in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no . in font nullfont! +Missing character: There is no D in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no S in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no k in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no O in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no v in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no k in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no V in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no k in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no v in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no P in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no k in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no z in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no . in font nullfont! +Missing character: There is no D in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no L in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no V in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no k in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no k in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no , in font nullfont! +Missing character: There is no w in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no D in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no v in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no B in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no , in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no L in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no . in font nullfont! +Missing character: There is no A in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no V in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no , in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no P in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no k in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no O in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no D in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no v in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no N in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no . in font nullfont! +Missing character: There is no W in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no P in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no k in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no z in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no O in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no , in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no L in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no v in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no . in font nullfont! +Missing character: There is no N in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no w in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no G in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no S in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no k in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no z in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no , in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no G in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no y in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no v in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no z in font nullfont! +Missing character: There is no w in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no G in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no z in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no z in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no . in font nullfont! + +! LaTeX Error: Environment align undefined. + +See the LaTeX manual or LaTeX Companion for explanation. +Type H for immediate help. + ... + +l.65 \begin{align} + +Your command was ignored. +Type I to replace it with another command, +or to continue without it. + +Missing character: There is no - in font nullfont! +! Missing $ inserted. + + $ +l.67 ...}{|\overrightarrow{Z}-\overrightarrow{V}|} + \cdot +I've inserted a begin-math/end-math symbol since I think +you left one out. Proceed, with fingers crossed. + +! Extra }, or forgotten $. +\frac #1#2->{\begingroup #1\endgroup \over #2} + +l.67 ...}{|\overrightarrow{Z}-\overrightarrow{V}|} + \cdot +I've deleted a group-closing symbol because it seems to be +spurious, as in `$x}$'. But perhaps the } is legitimate and +you forgot something else, as in `\hbox{$x}'. In such cases +the way to recover is to insert both the forgotten and the +deleted material, e.g., by typing `I$}'. + +! Misplaced alignment tab character &. +l.69 & + = +I can't figure out why you would want to use a tab mark +here. If you just want an ampersand, the remedy is +simple: Just type `I\&' now. But if some right brace +up above has ended a previous alignment prematurely, +you're probably due for more error messages, and you +might try typing `S' now just to see what is salvageable. + +! Misplaced alignment tab character &. +l.73 & + = +I can't figure out why you would want to use a tab mark +here. If you just want an ampersand, the remedy is +simple: Just type `I\&' now. But if some right brace +up above has ended a previous alignment prematurely, +you're probably due for more error messages, and you +might try typing `S' now just to see what is salvageable. + + +! LaTeX Error: \begin{document} ended by \end{align}. + +See the LaTeX manual or LaTeX Companion for explanation. +Type H for immediate help. + ... + +l.75 \end{align} + +Your command was ignored. +Type I to replace it with another command, +or to continue without it. + +! Missing $ inserted. + + $ +l.75 \end{align} + +I've inserted something that you may have forgotten. +(See the above.) +With luck, this will get me unwedged. But if you +really didn't forget anything, try typing `2' now; then +my insertion and my current dilemma will both disappear. + +! Missing } inserted. + + } +l.75 \end{align} + +I've inserted something that you may have forgotten. +(See the above.) +With luck, this will get me unwedged. But if you +really didn't forget anything, try typing `2' now; then +my insertion and my current dilemma will both disappear. + +Missing character: There is no D in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no D in font nullfont! +Missing character: There is no G in font nullfont! +Missing character: There is no L in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no K in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no V in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no , in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no V in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no S in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no 1 in font nullfont! +Missing character: There is no v in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no w in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no . in font nullfont! + +Overfull \hbox (10.00023pt too wide) in paragraph at lines 58--77 + $[]$ + [] + + +Overfull \hbox (10.00023pt too wide) in paragraph at lines 58--77 +[]$ + [] + + +Overfull \hbox (8.05556pt too wide) in paragraph at lines 58--77 +\OML/cmm/m/it/10 V$ + [] + + +Overfull \hbox (7.54167pt too wide) in paragraph at lines 58--77 +\OML/cmm/m/it/10 Z$ + [] + + +Overfull \hbox (5.00002pt too wide) in paragraph at lines 58--77 +\/cmr/m/n/10 a + [] + + +Overfull \hbox (5.00002pt too wide) in paragraph at lines 58--77 +\/cmr/m/n/10 a + [] + + +Overfull \hbox (8.05556pt too wide) in paragraph at lines 58--77 +\OML/cmm/m/it/10 V$ + [] + + +Overfull \hbox (7.54167pt too wide) in paragraph at lines 58--77 +\OML/cmm/m/it/10 Z$ + [] + + +Overfull \hbox (8.05556pt too wide) in paragraph at lines 58--77 +\OML/cmm/m/it/10 V$ + [] + + +Overfull \hbox (7.54167pt too wide) in paragraph at lines 58--77 +\OML/cmm/m/it/10 Z$ + [] + + +Overfull \hbox (5.00002pt too wide) in paragraph at lines 58--77 +\/cmr/m/n/10 o + [] + + +Overfull \hbox (152.45233pt too wide) in paragraph at lines 58--77 +[][]$[]$ + [] + +! Undefined control sequence. +l.79 \subsection + {Ziel +The control sequence at the end of the top line +of your error message was never \def'ed. If you have +misspelled it (e.g., `\hobx'), type `I' and the correct +spelling (e.g., `I\hbox'). Otherwise just continue, +and I'll forget about whatever was undefined. + + +! LaTeX Error: Missing \begin{document}. + +See the LaTeX manual or LaTeX Companion for explanation. +Type H for immediate help. + ... + +l.79 \subsection{Z + iel +You're in trouble here. 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Emergency stop. +<*> ./teil0.tex + +*** (job aborted, no legal \end found) + + +Here is how much of TeX's memory you used: + 34 strings out of 478927 + 671 string characters out of 2852535 + 298175 words of memory out of 3000000 + 17993 multiletter control sequences out of 15000+600000 + 403430 words of font info for 27 fonts, out of 8000000 for 9000 + 1141 hyphenation exceptions out of 8191 + 23i,13n,32p,801b,95s stack positions out of 5000i,500n,10000p,200000b,80000s +! ==> Fatal error occurred, no output PDF file produced! diff --git a/buch/papers/lambertw/teil0.tex b/buch/papers/lambertw/teil0.tex index f174ccb..73fe187 100644 --- a/buch/papers/lambertw/teil0.tex +++ b/buch/papers/lambertw/teil0.tex @@ -14,53 +14,78 @@ Verfolgungskurven tauchen oft auf bei fragen wie, welchen Pfad begeht ein Hund w \label{lambertw:subsection:Verfolger}} Wie bereits erwähnt, wird der Verfolger durch seine Verfolgungsstrategie definiert. Wir nehmen an, dass sich der Verfolger stur an eine Verfolgungsstrategie hält. Dabei gibt es viele mögliche Strategien, die der Verfolger wählen könnte. Die möglichen Strategien entstehen durch Festlegung einzelner Parameter, die der Verfolger kontrollieren kann. Der Verfolger hat nur einen direkten Einfluss auf seinen Geschwindigkeitsvektor. Mit diesem kann er neben Richtung und Betrag auch den Abstand zwischen Verfolger und Ziel kontrollieren. Wenn zwei dieser drei Parameter durch die Strategie definiert werden, ist der dritte nicht mehr frei. Daraus folgt, dass eine Strategie zwei dieser drei Parameter festlegen muss, um den Verfolger komplett zu beschreiben. -\begin{tabular}{|>{$}l<{$}|>{$}l<{$}|>{$}c<{$}|>{$}c<{$}|>{$}c<{$}|>{$}c<{$}|} - \hline - \text{}&\text{Geschwindigkeit}&\text{Abstand}&\text{Richtung}\\ - \hline - \text{Strategie 1} - & \text{konstant} & \text{-} & \text{direkt auf Ziel hinzu}\\ - - \text{Strategie 2} - & \text{-} & \text{konstant} & \text{direkt auf Ziel hinzu}\\ - - \text{Strategie 3} - & \text{konstant} & \text{-} & \text{etwas voraus Zielen}\\ - \hline -\label{lambertw:Strategien} -\end{tabular} +\begin{table} + \centering + \begin{tabular}{|>{$}c<{$}|>{$}c<{$}|>{$}c<{$}|>{$}c<{$}|} + \hline + \text{}&\text{Geschwindigkeit}&\text{Abstand}&\text{Richtung}\\ + \hline + \text{Strategie 1} + & \text{konstant} & \text{-} & \text{direkt auf Ziel hinzu}\\ + + \text{Strategie 2} + & \text{-} & \text{konstant} & \text{direkt auf Ziel hinzu}\\ + + \text{Strategie 3} + & \text{konstant} & \text{-} & \text{etwas voraus Zielen}\\ + \hline + \end{tabular} + \caption{mögliche Verfolgungsstrategien} + \label{lambertw:Strategien} +\end{table} -In der Tabelle \eqref{lambertw:Strategien} sind drei mögliche Strategien aufgezählt. Folgend wird nur noch auf die Strategie 1 eingegangen. Bei dieser Strategie ist die Geschwindigkeit konstant und der Verfolger bewegt sich immer direkt auf sein Ziel hinzu. In der Grafik \eqref{lambertw:pursuerDGL2} ist das Problem dargestellt. Wobei $\overrightarrow{V}$ der Ortsvektor des Verfolgers, $\overrightarrow{Z}$ der Ortsvektor des Ziels und $\overrightarrow{\dot{V}}$ der Richtungsvektor des Verfolgers ist. Die konstante Geschwindigkeit kann man mit der Gleichung + + + +%\begin{figure} +% \centering +% \includegraphics{.\papers\lambertw\Bilder\pursuerDGL2.pdf} +% \label{pursuer:pursuerDGL2} +%\end{figure} + +In der Tabelle \eqref{lambertw:Strategien} sind drei mögliche Strategien aufgezählt. +Folgend wird nur noch auf die Strategie 1 eingegangen. +Bei dieser Strategie ist die Geschwindigkeit konstant und der Verfolger bewegt sich immer direkt auf sein Ziel hinzu. +In der Grafik \eqref{lambertw:pursuerDGL2} ist das Problem dargestellt. +Wobei $\overrightarrow{V}$ der Ortsvektor des Verfolgers, $\overrightarrow{Z}$ der Ortsvektor des Ziels und $\overrightarrow{\dot{V}}$ der Geschwindigkeitsvektor des Verfolgers ist. +Die konstante Geschwindigkeit kann man mit der Gleichung \begin{equation} |\overrightarrow{\dot{V}}| - = - konst = A + = konst = A \quad|A\in\mathbb{R}>0 \end{equation} -darstellen. Der Richtungsvektor wiederum kann mit der Gleichung +darstellen. Der Geschwindigkeitsvektor wiederum kann mit der Gleichung \begin{equation} - \frac{\overrightarrow{Z}-\overrightarrow{V}}{|\overrightarrow{Z}-\overrightarrow{V}|} + \frac{\overrightarrow{Z}-\overrightarrow{V}}{|\overrightarrow{Z}-\overrightarrow{V}|}\cdot|\overrightarrow{\dot{V}}| = - \frac{\overrightarrow{\dot{V}}}{|\overrightarrow{\dot{V}}|} + \overrightarrow{\dot{V}} \end{equation} -beschrieben werden. Durch die Subtraktion der Ortsvektoren $\overrightarrow{V}$ und $\overrightarrow{Z}$ entsteht ein Vektor der vom Punkt $V$ auf $Z$ zeigt. Da die Länge dieses Vektors beliebig sein kann, wird durch Division mit dem Betrag, die Länge auf eins festgelegt. -Aus dem Verfolgungsproblem ist auch ersichtlich, dass die Punkte $V$ und $Z$ nicht am gleichen Ort starten und so eine Division durch Null ausgeschlossen ist. Wenn die Punkte $V$ und $Z$ trotzdem am gleichen Ort starten, ist die Lösung trivial. +beschrieben werden. +Durch die Subtraktion der Ortsvektoren $\overrightarrow{V}$ und $\overrightarrow{Z}$ entsteht ein Vektor der vom Punkt $V$ auf $Z$ zeigt. +Da die Länge dieses Vektors beliebig sein kann, wird durch Division mit dem Betrag, die Länge auf eins festgelegt. +Aus dem Verfolgungsproblem ist auch ersichtlich, dass die Punkte $V$ und $Z$ nicht am gleichen Ort starten und so eine Division durch Null ausgeschlossen ist. +Wenn die Punkte $V$ und $Z$ trotzdem am gleichen Ort starten, ist die Lösung trivial. Nun wird die Gleichung mit deren rechten Seite skalar multipliziert, um das Gleichungssystem von zwei auf eine Gleichung zu reduzieren. -\begin{equation} +\begin{align} \label{pursuer:pursuerDGL} + \frac{\overrightarrow{Z}-\overrightarrow{V}}{|\overrightarrow{Z}-\overrightarrow{V}|}\cdot + \overrightarrow{\dot{V}} + &= + |\overrightarrow{\dot{V}}|^2 + \\ \frac{\overrightarrow{Z}-\overrightarrow{V}}{|\overrightarrow{Z}-\overrightarrow{V}|}\cdot \frac{\overrightarrow{\dot{V}}}{|\overrightarrow{\dot{V}}|} - = + &= 1 -\end{equation} -Diese DGL ist der Kern des Verfolgungsproblems, insofern sich der Verfolger immer direkt auf sein Ziel zubewegt. - - - +\end{align} +Diese DGL ist der Kern des Verfolgungsproblems, insofern der Verfolger die Strategie 1 verwendet. \subsection{Ziel \label{lambertw:subsection:Ziel}} -Als nächstes gehen wir auf das Ziel ein. Wie der Verfolger wird auch unser Ziel sich strikt an eine Fluchtstrategie halten, welche von Anfang an bekannt ist. Diese Strategie kann als Parameterdarstellung der Position nach der Zeit beschrieben werden. Zum Beispiel könnte ein Ziel auf einer Geraden flüchten, welches auf einer Ebene mit der Parametrisierung +Als nächstes gehen wir auf das Ziel ein. +Wie der Verfolger wird auch unser Ziel sich strikt an eine Fluchtstrategie halten, welche von Anfang an bekannt ist. +Diese Strategie kann als Parameterdarstellung der Position nach der Zeit beschrieben werden. +Zum Beispiel könnte ein Ziel auf einer Geraden flüchten, welches auf einer Ebene mit der Parametrisierung \begin{equation} \vec{r}(t) = @@ -70,6 +95,8 @@ Als nächstes gehen wir auf das Ziel ein. Wie der Verfolger wird auch unser Ziel \end{Bmatrix} \end{equation} beschrieben werden könnte. +Mit dieser Gleichung ist das Ziel auch schon vollumfänglich definiert. +Die Fluchtkurve kann eine beliebige Form haben, jedoch wird die zu lösende DGL immer komplexer. diff --git a/buch/papers/lambertw/teil1.log b/buch/papers/lambertw/teil1.log new file mode 100644 index 0000000..d2eb5c6 --- /dev/null +++ b/buch/papers/lambertw/teil1.log @@ -0,0 +1,3259 @@ +This is pdfTeX, Version 3.141592653-2.6-1.40.23 (MiKTeX 21.8) (preloaded format=pdflatex 2021.9.21) 5 APR 2022 23:32 +entering extended mode +**./teil1.tex +(teil1.tex +LaTeX2e <2021-06-01> patch level 1 +L3 programming layer <2021-08-27> +! Undefined control sequence. +l.6 \section + {Beispiel () +The control sequence at the end of the top line +of your error message was never \def'ed. If you have +misspelled it (e.g., `\hobx'), type `I' and the correct +spelling (e.g., `I\hbox'). 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LaTeX Error: Missing \begin{document}. + +See the LaTeX manual or LaTeX Companion for explanation. +Type H for immediate help. + ... + +l.39 N + un wird die Gleichung mit deren rechten Seite skalar multipliziert, um... + +You're in trouble here. 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Undefined control sequence. +l.49 \subsection + {Beispiel} +The control sequence at the end of the top line +of your error message was never \def'ed. If you have +misspelled it (e.g., `\hobx'), type `I' and the correct +spelling (e.g., `I\hbox'). Otherwise just continue, +and I'll forget about whatever was undefined. + + +! LaTeX Error: Missing \begin{document}. + +See the LaTeX manual or LaTeX Companion for explanation. +Type H for immediate help. + ... + +l.49 \subsection{B + eispiel} +You're in trouble here. 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Undefined control sequence. +l.50 ...ieses Problem wurde bereits die DGL \eqref + {eq:PursuerDGL} hergeleitet. +The control sequence at the end of the top line +of your error message was never \def'ed. If you have +misspelled it (e.g., `\hobx'), type `I' and the correct +spelling (e.g., `I\hbox'). Otherwise just continue, +and I'll forget about whatever was undefined. + +Missing character: There is no e in font nullfont! +Missing character: There is no q in font nullfont! +Missing character: There is no : in font nullfont! +Missing character: There is no P in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no D in font nullfont! +Missing character: There is no G in font nullfont! +Missing character: There is no L in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no . in font nullfont! +Missing character: There is no D in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no A in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! + +Overfull \hbox (20.0pt too wide) in paragraph at lines 49--52 +[] + [] + + +Overfull \hbox (5.55557pt too wide) in paragraph at lines 49--52 +\/cmr/m/n/10 u + [] + + +Overfull \hbox (5.55557pt too wide) in paragraph at lines 49--52 +\/cmr/m/n/10 u + [] + + +! LaTeX Error: Missing \begin{document}. + +See the LaTeX manual or LaTeX Companion for explanation. +Type H for immediate help. + ... + +l.53 \begin{equation} + +You're in trouble here. Try typing to proceed. +If that doesn't work, type X to quit. + + +Overfull \hbox (20.0pt too wide) in paragraph at lines 53--53 +[] + [] + + +Overfull \hbox (135.67946pt too wide) detected at line 57 +[]\/cmr/m/n/10 (\OML/cmm/m/it/10 t\/cmr/m/n/10 )[][] = [][][] + [] + + +! LaTeX Error: Missing \begin{document}. + +See the LaTeX manual or LaTeX Companion for explanation. +Type H for immediate help. + ... + +l.59 \begin{equation} + +You're in trouble here. Try typing to proceed. +If that doesn't work, type X to quit. + + +Overfull \hbox (20.0pt too wide) in paragraph at lines 59--59 +[] + [] + + +Overfull \hbox (61.57726pt too wide) detected at line 65 +[] \OMS/cmsy/m/n/10  [] \/cmr/m/n/10 = 1 = \OML/cmm/m/it/10 v[] + [] + + +! LaTeX Error: Missing \begin{document}. + +See the LaTeX manual or LaTeX Companion for explanation. +Type H for immediate help. + ... + +l.79 S + ed ut perspiciatis unde omnis iste natus error sit voluptatem +You're in trouble here. 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LaTeX Error: Missing \begin{document}. + +See the LaTeX manual or LaTeX Companion for explanation. +Type H for immediate help. + ... + +l.98 U + t enim ad minima veniam, quis nostrum exercitationem ullam corporis +You're in trouble here. 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+Missing character: There is no c in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no q in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no v in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no q in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no q in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no q in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no x in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no v in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no , in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no q in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no q in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no , in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no . in font nullfont! +Missing character: There is no E in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no q in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no x in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no . in font nullfont! +Missing character: There is no N in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no , in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no g in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no q in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no h in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no q in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no q in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no x in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no , in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no v in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no , in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no . in font nullfont! +Missing character: There is no T in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no q in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no f in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no b in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no v in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no v in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no p in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no m in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no o in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no r in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no c in font nullfont! +Missing character: There is no u in font nullfont! +Missing character: There is no s in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no n in font nullfont! +Missing character: There is no d in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no . in font nullfont! +Missing character: There is no I in font nullfont! +Missing character: There is no t in font nullfont! +Missing character: There is no a in font nullfont! +Missing character: There is no q in font nullfont! 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Undefined control sequence. +l.6 \section + {Teil 3 +The control sequence at the end of the top line +of your error message was never \def'ed. If you have +misspelled it (e.g., `\hobx'), type `I' and the correct +spelling (e.g., `I\hbox'). Otherwise just continue, +and I'll forget about whatever was undefined. + + +! LaTeX Error: Missing \begin{document}. + +See the LaTeX manual or LaTeX Companion for explanation. +Type H for immediate help. + ... + +l.6 \section{T + eil 3 +You're in trouble here. Try typing to proceed. +If that doesn't work, type X to quit. + +Missing character: There is no T in font nullfont! +Missing character: There is no e in font nullfont! +Missing character: There is no i in font nullfont! +Missing character: There is no l in font nullfont! +Missing character: There is no 3 in font nullfont! +! Undefined control sequence. +l.8 \rhead + {Teil 3} +The control sequence at the end of the top line +of your error message was never \def'ed. If you have +misspelled it (e.g., `\hobx'), type `I' and the correct +spelling (e.g., `I\hbox'). 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Undefined control sequence. +l.24 \subsection + {De finibus bonorum et malorum +The control sequence at the end of the top line +of your error message was never \def'ed. If you have +misspelled it (e.g., `\hobx'), type `I' and the correct +spelling (e.g., `I\hbox'). Otherwise just continue, +and I'll forget about whatever was undefined. + + +! LaTeX Error: Missing \begin{document}. + +See the LaTeX manual or LaTeX Companion for explanation. +Type H for immediate help. + ... + +l.24 \subsection{D + e finibus bonorum et malorum +You're in trouble here. 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Emergency stop. +<*> ./teil3.tex + +*** (job aborted, no legal \end found) + + +Here is how much of TeX's memory you used: + 18 strings out of 478927 + 531 string characters out of 2852535 + 291175 words of memory out of 3000000 + 17978 multiletter control sequences out of 15000+600000 + 403430 words of font info for 27 fonts, out of 8000000 for 9000 + 1141 hyphenation exceptions out of 8191 + 13i,0n,12p,86b,18s stack positions out of 5000i,500n,10000p,200000b,80000s +! ==> Fatal error occurred, no output PDF file produced! -- cgit v1.2.1 From 5d9ae555dc943ae5ec772b7b6efa6b44f131a785 Mon Sep 17 00:00:00 2001 From: daHugen Date: Tue, 19 Jul 2022 17:56:14 +0200 Subject: made some changes and added some text[C --- buch/papers/lambertw/teil4.tex | 12 +++++------- 1 file changed, 5 insertions(+), 7 deletions(-) (limited to 'buch/papers') diff --git a/buch/papers/lambertw/teil4.tex b/buch/papers/lambertw/teil4.tex index 6c70174..e0f7731 100644 --- a/buch/papers/lambertw/teil4.tex +++ b/buch/papers/lambertw/teil4.tex @@ -6,11 +6,9 @@ \section{Beispiel Verfolgungskurve \label{lambertw:section:teil4}} \rhead{Beispiel Verfolgungskurve} -In diesem Abschnitt wird rechnerisch das Beispiel einer Verfolgungskurve beschreiben. +In diesem Abschnitt wird rechnerisch das Beispiel einer Verfolgungskurve mit der Verfolgungsstrategie 1 beschreiben. -\subsection{Ziel bewegt sich auf einer Gerade -\label{lambertw:subsection:malorum}} -Das zu verfolgende Ziel \(\overrightarrow{Z}\) wandert auf einer Gerade, wobei diese Gerade der \(y\)-Achse entspricht. Der Verfolger \(\overrightarrow{V}\) startet auf einem beliebigen Punkt auf dem ersten Quadrant. Um die Rechnungen zu vereinfachen wir die Geschwindigkeit \(v\) auf 1 gesetzt. Diese Anfangspunkte oder Anfangsbedingungen können wie folgt formuliert werden: +Das zu verfolgende Ziel \(\overrightarrow{Z}\) wandert auf einer Gerade mit konstanter Geschwindigkeit \(v = 1\), wobei diese Gerade der \(y\)-Achse entspricht. Der Verfolger \(\overrightarrow{V}\) startet auf einem beliebigen Punkt im ersten Quadrant und bewegt sich auch mit konstanter Geschwindigkeit. Diese Anfangspunkte oder Anfangsbedingungen können wie folgt formuliert werden: \begin{equation} \overrightarrow{Z} = @@ -23,7 +21,7 @@ Das zu verfolgende Ziel \(\overrightarrow{Z}\) wandert auf einer Gerade, wobei d \left( \begin{array}{c} x \\ y \end{array} \right) \label{lambertw:Anfangspunkte} \end{equation} -Wenn man diese Startpunkte in die Gleichung der Verfolgungskurve einfügt ergibt sich folgender Ausdruck: +Wenn man diese Startpunkte in die Gleichung der Verfolgungskurve \eqref{lambertw:pursuerDGL} einfügt ergibt sich folgender Ausdruck: \begin{equation} \frac{\left( \begin{array}{c} 0-x \\ t-y \end{array} \right)}{\sqrt{x^2 + (t-y)^2}} \circ @@ -155,7 +153,7 @@ Diese kann mit den selben Methoden gelöst werden, diesmal in Kombination mit de \centering \includegraphics{papers/lambertw/Bilder/VerfolgungskurveBsp.png} \caption[Graph der Verfolgungskurve]{Graph der Verfolgungskurve wobei, ({\color{red}rot}) die Funktion \ensuremath{y(x)} ist, ({\color{darkgreen}grün}) der quadratische Teil und ({\color{blue}blau}) dem \ensuremath{ln(x)}-Teil entspricht. - \label{lambertw:funkLoes} + \label{lambertw:BildFunkLoes} } \end{figure} @@ -175,7 +173,7 @@ Für die Koeffizienten \(C_1\) und \(C_2\) ergibt sich ein Anfangswertproblem, w \item Aufgrund des Monotoniewechsels in der Kurve muss es auch ein Minimum aufweisen. Es stellt sich nun die Frage: Wo befindet sich dieser Punkt? Durch eine logische Überlegung kann eine Abschätzung darüber getroffen werden und zwar, dass dieser dann entsteht, wenn \(A\) und \(P\) die gleiche \(y\)-Koordinaten besitzen. In diesem Moment ändert die Richtung der \(y\)-Komponente der Geschwindigkeit und somit auch sein Vorzeichen. \end{itemize} -Alle diese Eigenschafte stimmen mit dem überein, was man von einer Kurve dieser Art erwarten würde. Nun stellt sich die Frage wie die Kurve wirklich aussieht, dies wird durch das Einsetzen folgender Anfangsbedingungen erreicht: +Alle diese Eigenschafte stimmen mit dem überein, was man von einer Kurve dieser Art erwarten würde, siehe \ref{lambertw:BildFunkLoes}. Nun stellt sich die Frage wie die Kurve wirklich aussieht, dies wird durch das Einsetzen folgender Anfangsbedingungen erreicht: \begin{equation} y(x)\big \vert_{t=0} = -- cgit v1.2.1 From d56bf4f939d25cea9ac9953b2b0f3237b2dfe8cd Mon Sep 17 00:00:00 2001 From: daHugen Date: Tue, 19 Jul 2022 18:35:13 +0200 Subject: added some equations and made some changes --- buch/papers/lambertw/teil4.tex | 14 ++++++++++---- 1 file changed, 10 insertions(+), 4 deletions(-) (limited to 'buch/papers') diff --git a/buch/papers/lambertw/teil4.tex b/buch/papers/lambertw/teil4.tex index e0f7731..6184369 100644 --- a/buch/papers/lambertw/teil4.tex +++ b/buch/papers/lambertw/teil4.tex @@ -237,10 +237,16 @@ Leitet man die Funktion \eqref{lambertw:funkLoes} nach x ab und setzt die Anfang \frac{W\left(\chi\cdot e^{\chi-\frac{4t}{r_0-y_0}}\right)}{\chi} &= \eta \\ - x\left(t\right) - &= - \sqrt{\frac{W\left(\chi\cdot e^{\chi-\frac{4t}{r_0-y_0}}\right)}{\chi}} \\ \frac{W\left(\chi\cdot e^{\chi-\frac{4t}{r_0-y_0}}\right)}{\chi} &= - \left(\frac{x}{x_0}\right)^2 + \left(\frac{x}{x_0}\right)^2 \\ + x\left(t\right) + &= + \sqrt{\frac{W\left(\chi\cdot e^{\chi-\frac{4t}{r_0-y_0}}\right)}{\chi}} \end{align*} +\begin{equation} + y(t) + = + \frac{1}{4}\left(\left(y_0+r_0\right)\frac{W\left(\chi\cdot e^{\chi\ -\ \frac{4t}{r_0-y_0}}\right)}{\chi}+\left(r_0-y_0\right)\cdot\mathrm{ln}\ \left(\frac{W\left(\chi\cdot e^{\chi\ -\ \frac{4t}{r_0-y_0}}\right)}{\chi}\right)-r_0+3y_0\right) + \label{lambertw:funkNachT} +\end{equation} -- cgit v1.2.1 From 35d08feb3fdcae56cad97ab48822b0f8c2ab4aa1 Mon Sep 17 00:00:00 2001 From: Kuster Yanik Date: Tue, 19 Jul 2022 19:38:35 +0200 Subject: Added analysis of reaching target --- buch/papers/lambertw/main.tex | 2 +- buch/papers/lambertw/teil0.tex | 18 ++-- buch/papers/lambertw/teil1.tex | 204 +++++++++++++++-------------------------- 3 files changed, 83 insertions(+), 141 deletions(-) (limited to 'buch/papers') diff --git a/buch/papers/lambertw/main.tex b/buch/papers/lambertw/main.tex index 68b7a5d..a347608 100644 --- a/buch/papers/lambertw/main.tex +++ b/buch/papers/lambertw/main.tex @@ -28,10 +28,10 @@ Bilden Sie auch für Formeln kurze Zeilen, einerseits der besseren \end{itemize} \input{papers/lambertw/teil0.tex} -%\input{papers/lambertw/teil1.tex} %\input{papers/lambertw/teil2.tex} %\input{papers/lambertw/teil3.tex} \input{papers/lambertw/teil4.tex} +\input{papers/lambertw/teil1.tex} \printbibliography[heading=subbibliography] \end{refsection} diff --git a/buch/papers/lambertw/teil0.tex b/buch/papers/lambertw/teil0.tex index 73fe187..50d2255 100644 --- a/buch/papers/lambertw/teil0.tex +++ b/buch/papers/lambertw/teil0.tex @@ -4,7 +4,7 @@ % (c) 2020 Prof Dr Andreas Müller, Hochschule Rapperswil % \section{Was sind Verfolgungskurven? -\label{lambertw:section:teil0}} +\label{lambertw:section:Was_sind_Verfolgungskurven}} \rhead{Teil 0} Verfolgungskurven tauchen oft auf bei fragen wie, welchen Pfad begeht ein Hund während er einer Katze nachrennt. Ein solches Problem hat im Kern immer ein Verfolger und sein Ziel. Der Verfolger versucht sein Ziel zu ergattern und das Ziel versucht zu entkommen. Der Pfad, der der Verfolger während der Verfolgung begeht, wird Verfolgungskurve genannt. Um diese Kurve zu bestimmen, kann das Verfolgungsproblem als DGL formuliert werden. Diese DGL entspringt der Verfolgungsstrategie des Verfolgers. @@ -31,17 +31,17 @@ Wie bereits erwähnt, wird der Verfolger durch seine Verfolgungsstrategie defini \hline \end{tabular} \caption{mögliche Verfolgungsstrategien} - \label{lambertw:Strategien} + \label{lambertw:table:Strategien} \end{table} -%\begin{figure} -% \centering -% \includegraphics{.\papers\lambertw\Bilder\pursuerDGL2.pdf} -% \label{pursuer:pursuerDGL2} -%\end{figure} +\begin{figure} + \centering + \includegraphics[scale=0.2]{./papers/lambertw/Bilder/pursuerDGL2.pdf} + \label{lambertw:grafic:pursuerDGL2} +\end{figure} In der Tabelle \eqref{lambertw:Strategien} sind drei mögliche Strategien aufgezählt. Folgend wird nur noch auf die Strategie 1 eingegangen. @@ -67,7 +67,7 @@ Aus dem Verfolgungsproblem ist auch ersichtlich, dass die Punkte $V$ und $Z$ nic Wenn die Punkte $V$ und $Z$ trotzdem am gleichen Ort starten, ist die Lösung trivial. Nun wird die Gleichung mit deren rechten Seite skalar multipliziert, um das Gleichungssystem von zwei auf eine Gleichung zu reduzieren. \begin{align} - \label{pursuer:pursuerDGL} + \label{lambertw:pursuerDGL} \frac{\overrightarrow{Z}-\overrightarrow{V}}{|\overrightarrow{Z}-\overrightarrow{V}|}\cdot \overrightarrow{\dot{V}} &= @@ -87,7 +87,7 @@ Wie der Verfolger wird auch unser Ziel sich strikt an eine Fluchtstrategie halte Diese Strategie kann als Parameterdarstellung der Position nach der Zeit beschrieben werden. Zum Beispiel könnte ein Ziel auf einer Geraden flüchten, welches auf einer Ebene mit der Parametrisierung \begin{equation} - \vec{r}(t) + \vec{Z}(t) = \begin{Bmatrix} 0\\ diff --git a/buch/papers/lambertw/teil1.tex b/buch/papers/lambertw/teil1.tex index cc4a62a..3415c45 100644 --- a/buch/papers/lambertw/teil1.tex +++ b/buch/papers/lambertw/teil1.tex @@ -3,160 +3,102 @@ % % (c) 2020 Prof Dr Andreas Müller, Hochschule Rapperswil % -\section{Ziel +\section{Wird das Ziel erreicht? \label{lambertw:section:teil1}} \rhead{Problemstellung} - - -%\begin{figure}[H] -% \centering -% \includegraphics[width=0.5\textwidth]{.\Bilder\something.pdf} -% \label{pursuer:grafik1} -%\end{figure} - - - -Je nach Verfolgungsstrategie die der Verfolger verwendet, entsteht eine andere DGL. -Für dieses konkrete Beispiel wird einfachheitshalber die simpelste Strategie gewählt. -Bei dieser Strategie bewegt sich der Verfolger immer direkt auf sein Ziel hinzu. -Womit der Geschwindigkeitsvektor des Verfolgers zu jeder Zeit direkt auf das Ziel zeigt. - -Um die DGL dieses Problems herzuleiten wird der Sachverhalt in der Grafik \eqref{pursuer:grafik1} aufgezeigt. -Der Punkt $P$ ist der Verfolger und der Punkt $A$ ist sein Ziel. - -Um dies mathematisch beschreiben zu können, wird der Richtungsvektor -\begin{equation} - \frac{A-P}{|A-P|} +Sehr oft kommt es vor, dass bei Verfolgungsproblemen die Frage auftaucht, ob das Ziel überhaupt erreicht wird. +Wenn zum Beispiel die Geschwindigkeit des Verfolgers kleiner ist als diejenige des Ziels, gibt es Anfangsbedingungen bei denen das Ziel nie erreicht wird. +Sobald diese Frage beantwortet wurde stellt sich meist die Frage, wie lange es dauert bis das Ziel erreicht wird. +Diese beiden Fragen werden in diesem Kapitel behandelt und an einem Beispiel betrachtet. + +\subsection{Ziel erreichen (überarbeiten) +\label{lambertw:subsection:ZielErreichen}} +Für diese Betrachtung wird das Beispiel aus \eqref{lambertw:section:teil4} zur Hilfe genommen. +Wir verwenden die Hergeleiteten Gleichungen +\begin{align*} + x\left(t\right) + &= + \sqrt{\frac{W\left(\chi\cdot e^{\chi-\frac{4t}{r_0-y_0}}\right)}{\chi}} \\ + y(x) + &= + \frac{1}{4}\left(\left(y_0+r_0\right)\eta+\left(r_0-y_0\right)ln\left(\eta\right)-r_0+3y_0\right) \\ + \chi + &= + \frac{r_0+y_0}{r_0-y_0}; \cdot\chi \\ + \eta + &= + \left(\frac{x}{x_0}\right)^2 + \:;\: + r_0 = - \frac{\dot{P}}{|\dot{P}|} -\end{equation} -benötigt. Durch die Subtraktion der Ortsvektoren $\overrightarrow{OP}$ und $\overrightarrow{OA}$ entsteht ein Vektor der vom Punkt $P$ auf $A$ zeigt. -Da die Länge dieses Vektors beliebig sein kann, wird durch Division mit dem Betrag, die Länge auf eins festgelegt. -Aus dem Verfolgungsproblem ist auch ersichtlich, dass die Punkte $A$ und $P$ nicht am gleichen Ort starten und so eine Division durch Null ausgeschlossen ist. -Wenn die Punkte $A$ und $P$ trotzdem am gleichen Ort starten, ist die Lösung trivial. + \sqrt{x_0^2+y_0^2} \\ +\end{align*} +Wir definieren einen Treffer wenn die Koordinaten des Verfolgers mit denen des Ziels übereinstimmen bei einem diskreten Zeitpunkt $t_1$. Aus dem vorangegangenem Beispiel, sind die Gleichungen zu den x- und y-Koordinaten des Verfolgers bekannt. Die Des Ziels sind -Nun wird die Gleichung mit deren rechten Seite skalar multipliziert, um das Gleichungssystem von zwei auf eine Gleichung zu reduzieren. \begin{equation} - \label{pursuer:pursuerDGL} - \frac{A-P}{|A-P|}\cdot \frac{\dot{P}}{|\dot{P}|} + \overrightarrow{Z}(t) + = + \left( \begin{array}{c} 0 \\ v \cdot t \end{array} \right) = - 1 + \left( \begin{array}{c} 0 \\ t \end{array} \right) + ;\quad + \overrightarrow{V}(t) + = + \left( \begin{array}{c} x(t) \\ y(t) \end{array} \right) + \label{lambertw:Anfangspunkte} \end{equation} -Diese DGL ist der Kern des Verfolgungsproblems, insofern sich der Verfolger immer direkt auf sein Ziel zubewegt. +Somit gilt es -\subsection{Beispiel} -Das Verfolgungsproblem wird mithilfe eines konkreten Beispiels veranschaulicht. Dafür wird die einfachste Strategie verwendet, bei der sich der Verfolger direkt auf sein Ziel hinzu bewegt. Für dieses Problem wurde bereits die DGL \eqref{pursuer:pursuerDGL} hergeleitet. +\begin{equation*} + \overrightarrow{Z}(t_1)=\overrightarrow{V}(t_1) +\end{equation*} -Um dieses Beispiel einfach zu halten, wird für den Verfolger und das Ziel jeweils eine konstante Geschwindigkeit von eins gewählt. Das Ziel wiederum startet im Ursprung und bewegt sich linear auf der positiven Y-Achse. +zu lösen. Da die $y(t)$ viel komplexer ist als $x(t)$ wird das Problem in zwei einzelne Teilprobleme zerlegt. Wobei die Bedingung der x- und y-Koordinaten einzeln überprüft werden. -\begin{align} - v_P^2 +\begin{align*} + 0 &= - \dot{P}\cdot\dot{P} + x(t) = - 1 - \\[5pt] - v_A - &= - 1 - \\[5pt] - A + \sqrt{\frac{W\left(\chi\cdot e^{\chi-\frac{4t}{r_0-y_0}}\right)}{\chi}} + \\ + v \cdot t &= - \begin{pmatrix} - 0 \\ - v_A\cdot t - \end{pmatrix} - = - \begin{pmatrix} - 0 \\ - t - \end{pmatrix} - \\[5pt] - P - &= - \begin{pmatrix} - x \\ - y - \end{pmatrix} -\end{align} - -Die Anfangsbedingungen dieses Problems sind. - -\begin{align} - y(t)\bigg|_{t=0} - &= - y_0 - \\[5pt] - x(t)\bigg|_{t=0} - &= - x_0 \\[5pt] - \frac{\,dy}{\,dx}(t)\bigg|_{t=0} - &= - \frac{y_A(t) -y_P(t)}{x_A(t)-x_P(t)}\bigg|_{t=0} -\end{align} - -Mit den vorangegangenen Definitionen kann nun die DGL \eqref{pursuer:pursuerDGL} gelöst werden. -Dafür wird als erstes das Skalarprodukt ausgerechnet. + y(t) + = + \frac{1}{4}\left(\left(y_0+r_0\right)\eta+\left(r_0-y_0\right)ln\left(\eta\right)-r_0+3y_0\right) + \\ +\end{align*} + +Zuerst wird die Bedingung der x-Koordinate betrachtet. Diese kann durch quadrieren und anschliessendes multiplizieren von $\chi$ vereinfacht werden. \begin{equation} - \dfrac{-x\cdot\dot{x}+(t-y)\cdot\dot{y}}{\sqrt{x^2+(t-y)^2}} = 1 + 0 + = + W\left(\chi\cdot e^{\chi-\frac{4t}{r_0-y_0}}\right) \end{equation} +Dies entspricht genau den Nullstellen der Lambert W-Funktion. Da die Lambert W-Funktion genau eine Nullstelle bei +\begin{equation*} + W(0)=0 +\end{equation*} +besitzt. Kann die Bedingung weiter vereinfacht werden zu - - - - - - -Sed ut perspiciatis unde omnis iste natus error sit voluptatem -accusantium doloremque laudantium, totam rem aperiam, eaque ipsa -quae ab illo inventore veritatis et quasi architecto beatae vitae -dicta sunt explicabo. -Nemo enim ipsam voluptatem quia voluptas sit aspernatur aut odit -aut fugit, sed quia consequuntur magni dolores eos qui ratione -voluptatem sequi nesciunt \begin{equation} -\int_a^b x^2\, dx -= -\left[ \frac13 x^3 \right]_a^b -= -\frac{b^3-a^3}3. -\label{lambertw:equation1} + 0 + = + \chi\cdot e^{\chi-\frac{4t}{r_0-y_0}} \end{equation} -Neque porro quisquam est, qui dolorem ipsum quia dolor sit amet, -consectetur, adipisci velit, sed quia non numquam eius modi tempora -incidunt ut labore et dolore magnam aliquam quaerat voluptatem. - -Ut enim ad minima veniam, quis nostrum exercitationem ullam corporis -suscipit laboriosam, nisi ut aliquid ex ea commodi consequatur? -Quis autem vel eum iure reprehenderit qui in ea voluptate velit -esse quam nihil molestiae consequatur, vel illum qui dolorem eum -fugiat quo voluptas nulla pariatur? - -\subsection{De finibus bonorum et malorum -\label{lambertw:subsection:finibus}} -At vero eos et accusamus et iusto odio dignissimos ducimus qui -blanditiis praesentium voluptatum deleniti atque corrupti quos -dolores et quas molestias excepturi sint occaecati cupiditate non -provident, similique sunt in culpa qui officia deserunt mollitia -animi, id est laborum et dolorum fuga \eqref{000tempmlate:equation1}. - -Et harum quidem rerum facilis est et expedita distinctio -\ref{lambertw:section:loesung}. -Nam libero tempore, cum soluta nobis est eligendi optio cumque nihil -impedit quo minus id quod maxime placeat facere possimus, omnis -voluptas assumenda est, omnis dolor repellendus -\ref{lambertw:section:folgerung}. -Temporibus autem quibusdam et aut officiis debitis aut rerum -necessitatibus saepe eveniet ut et voluptates repudiandae sint et -molestiae non recusandae. -Itaque earum rerum hic tenetur a sapiente delectus, ut aut reiciendis -voluptatibus maiores alias consequatur aut perferendis doloribus -asperiores repellat. + +Da $\chi\neq0$ und die Exponentialfunktion nie null sein kann, ist diese Bedingung unmöglich zu erfüllen. +Beim Grenzwert für $t\rightarrow\infty$ geht die Exponentialfunktion gegen null. +Dies nützt nicht viel, da unendlich viel Zeit vergehen müsste damit ein Treffer möglich wäre. +Somit kann nach den Gestellten Bedingungen das Ziel nie getroffen werden. +Dieses Resultat ist aber eher akademischer Natur, weil der Verfolger und das Ziel als Punkt betrachtet wurden. +Wobei aber in Realität nicht von Punkten sondern von Objekten mit einer räumlichen Ausdehnung gesprochen werden kann. -- cgit v1.2.1 From 6dd01e88ff8b1d93decb31fabef8edb95b361e87 Mon Sep 17 00:00:00 2001 From: Kuster Yanik Date: Wed, 20 Jul 2022 20:16:26 +0200 Subject: made some adjustments --- buch/papers/lambertw/Bilder/pursuerDGL2.ggb | Bin 17954 -> 21894 bytes buch/papers/lambertw/Bilder/pursuerDGL2.pdf | Bin 17941 -> 21894 bytes buch/papers/lambertw/main.tex | 38 ++++++++-------- buch/papers/lambertw/teil0.tex | 65 ++++++++++++++++------------ 4 files changed, 56 insertions(+), 47 deletions(-) (limited to 'buch/papers') diff --git a/buch/papers/lambertw/Bilder/pursuerDGL2.ggb b/buch/papers/lambertw/Bilder/pursuerDGL2.ggb index 0bd39b2..3c4500b 100644 Binary files a/buch/papers/lambertw/Bilder/pursuerDGL2.ggb and b/buch/papers/lambertw/Bilder/pursuerDGL2.ggb differ diff --git a/buch/papers/lambertw/Bilder/pursuerDGL2.pdf b/buch/papers/lambertw/Bilder/pursuerDGL2.pdf index 284dd7d..932d9d9 100644 Binary files a/buch/papers/lambertw/Bilder/pursuerDGL2.pdf and b/buch/papers/lambertw/Bilder/pursuerDGL2.pdf differ diff --git a/buch/papers/lambertw/main.tex b/buch/papers/lambertw/main.tex index a347608..9e6d04f 100644 --- a/buch/papers/lambertw/main.tex +++ b/buch/papers/lambertw/main.tex @@ -4,28 +4,28 @@ % (c) 2020 Hochschule Rapperswil % \chapter{Verfolgungskurven\label{chapter:lambertw}} -\lhead{Thema} +\lhead{Verfolgungskurven} \begin{refsection} \chapterauthor{David Hugentobler und Yanik Kuster} -Ein paar Hinweise für die korrekte Formatierung des Textes -\begin{itemize} -\item -Absätze werden gebildet, indem man eine Leerzeile einfügt. -Die Verwendung von \verb+\\+ ist nur in Tabellen und Arrays gestattet. -\item -Die explizite Platzierung von Bildern ist nicht erlaubt, entsprechende -Optionen werden gelöscht. -Verwenden Sie Labels und Verweise, um auf Bilder hinzuweisen. -\item -Beginnen Sie jeden Satz auf einer neuen Zeile. -Damit ermöglichen Sie dem Versionsverwaltungssysteme, Änderungen -in verschiedenen Sätzen von verschiedenen Autoren ohne Konflikt -anzuwenden. -\item -Bilden Sie auch für Formeln kurze Zeilen, einerseits der besseren -Übersicht wegen, aber auch um GIT die Arbeit zu erleichtern. -\end{itemize} +%Ein paar Hinweise für die korrekte Formatierung des Textes +%\begin{itemize} +%\item +%Absätze werden gebildet, indem man eine Leerzeile einfügt. +%Die Verwendung von \verb+\\+ ist nur in Tabellen und Arrays gestattet. +%\item +%Die explizite Platzierung von Bildern ist nicht erlaubt, entsprechende +%Optionen werden gelöscht. +%Verwenden Sie Labels und Verweise, um auf Bilder hinzuweisen. +%\item +%Beginnen Sie jeden Satz auf einer neuen Zeile. +%Damit ermöglichen Sie dem Versionsverwaltungssysteme, Änderungen +%in verschiedenen Sätzen von verschiedenen Autoren ohne Konflikt +%anzuwenden. +%\item +%Bilden Sie auch für Formeln kurze Zeilen, einerseits der besseren +%Übersicht wegen, aber auch um GIT die Arbeit zu erleichtern. +%\end{itemize} \input{papers/lambertw/teil0.tex} %\input{papers/lambertw/teil2.tex} diff --git a/buch/papers/lambertw/teil0.tex b/buch/papers/lambertw/teil0.tex index 50d2255..2905605 100644 --- a/buch/papers/lambertw/teil0.tex +++ b/buch/papers/lambertw/teil0.tex @@ -5,14 +5,26 @@ % \section{Was sind Verfolgungskurven? \label{lambertw:section:Was_sind_Verfolgungskurven}} -\rhead{Teil 0} +\rhead{Was sind Verfolgungskurven?} -Verfolgungskurven tauchen oft auf bei fragen wie, welchen Pfad begeht ein Hund während er einer Katze nachrennt. Ein solches Problem hat im Kern immer ein Verfolger und sein Ziel. Der Verfolger versucht sein Ziel zu ergattern und das Ziel versucht zu entkommen. Der Pfad, der der Verfolger während der Verfolgung begeht, wird Verfolgungskurve genannt. Um diese Kurve zu bestimmen, kann das Verfolgungsproblem als DGL formuliert werden. Diese DGL entspringt der Verfolgungsstrategie des Verfolgers. +Verfolgungskurven tauchen oft auf bei Fragen wie welchen Pfad begeht ein Hund während er einer Katze nachrennt. +Ein solches Problem hat im Kern immer ein Verfolger und sein Ziel. +Der Verfolger verfolgt sein Ziel, das versucht zu entkommen. +Der Pfad, der der Verfolger während der Verfolgung begeht, wird Verfolgungskurve genannt. +Um diese Kurve zu bestimmen, kann das Verfolgungsproblem als Differentialgleichung formuliert werden. +Diese Differentialgleichung entspringt der Verfolgungsstrategie des Verfolgers. \subsection{Verfolger und Verfolgungsstrategie \label{lambertw:subsection:Verfolger}} -Wie bereits erwähnt, wird der Verfolger durch seine Verfolgungsstrategie definiert. Wir nehmen an, dass sich der Verfolger stur an eine Verfolgungsstrategie hält. Dabei gibt es viele mögliche Strategien, die der Verfolger wählen könnte. Die möglichen Strategien entstehen durch Festlegung einzelner Parameter, die der Verfolger kontrollieren kann. Der Verfolger hat nur einen direkten Einfluss auf seinen Geschwindigkeitsvektor. Mit diesem kann er neben Richtung und Betrag auch den Abstand zwischen Verfolger und Ziel kontrollieren. Wenn zwei dieser drei Parameter durch die Strategie definiert werden, ist der dritte nicht mehr frei. Daraus folgt, dass eine Strategie zwei dieser drei Parameter festlegen muss, um den Verfolger komplett zu beschreiben. +Wie bereits erwähnt, wird der Verfolger durch seine Verfolgungsstrategie definiert. +Wir nehmen an, dass sich der Verfolger stur an eine Verfolgungsstrategie hält. +Dabei gibt es viele mögliche Strategien, die der Verfolger wählen könnte. +Die möglichen Strategien entstehen durch Festlegung einzelner Parameter, die der Verfolger kontrollieren kann. +Der Verfolger hat nur einen direkten Einfluss auf seinen Geschwindigkeitsvektor. +Mit diesem kann er neben Richtung und Betrag auch den Abstand zwischen Verfolger und Ziel kontrollieren. +Wenn zwei dieser drei Parameter durch die Strategie definiert werden, ist der dritte nicht mehr frei. +Daraus folgt, dass eine Strategie zwei dieser drei Parameter festlegen muss, um den Verfolger komplett zu beschreiben. \begin{table} \centering @@ -39,46 +51,46 @@ Wie bereits erwähnt, wird der Verfolger durch seine Verfolgungsstrategie defini \begin{figure} \centering - \includegraphics[scale=0.2]{./papers/lambertw/Bilder/pursuerDGL2.pdf} + \includegraphics[scale=0.1]{./papers/lambertw/Bilder/pursuerDGL2.pdf} + \caption{Vektordarstellung Strategie 1} \label{lambertw:grafic:pursuerDGL2} \end{figure} -In der Tabelle \eqref{lambertw:Strategien} sind drei mögliche Strategien aufgezählt. -Folgend wird nur noch auf die Strategie 1 eingegangen. -Bei dieser Strategie ist die Geschwindigkeit konstant und der Verfolger bewegt sich immer direkt auf sein Ziel hinzu. -In der Grafik \eqref{lambertw:pursuerDGL2} ist das Problem dargestellt. -Wobei $\overrightarrow{V}$ der Ortsvektor des Verfolgers, $\overrightarrow{Z}$ der Ortsvektor des Ziels und $\overrightarrow{\dot{V}}$ der Geschwindigkeitsvektor des Verfolgers ist. +In der Tabelle \eqref{lambertw:table:Strategien} sind drei mögliche Strategien aufgezählt. +Im Folgend wird nur noch auf die Strategie 1 eingegangen. +Bei dieser Strategie ist die Geschwindigkeit konstant und der Verfolger bewegt sich immer direkt auf sein Ziel zu. +In der Abbildung \eqref{lambertw:grafic:pursuerDGL2} ist das Problem dargestellt, +wobei $\vec{V}$ der Ortsvektor des Verfolgers, $\vec{Z}$ der Ortsvektor des Ziels und $\dot{\vec{V}}$ der Geschwindigkeitsvektor des Verfolgers ist. Die konstante Geschwindigkeit kann man mit der Gleichung \begin{equation} - |\overrightarrow{\dot{V}}| - = konst = A - \quad|A\in\mathbb{R}>0 + |\dot{\vec{V}}| + = const = A + \quad A\in\mathbb{R}>0 \end{equation} darstellen. Der Geschwindigkeitsvektor wiederum kann mit der Gleichung \begin{equation} - \frac{\overrightarrow{Z}-\overrightarrow{V}}{|\overrightarrow{Z}-\overrightarrow{V}|}\cdot|\overrightarrow{\dot{V}}| + \frac{\vec{Z}-\vec{V}}{|\vec{Z}-\vec{V}|}\cdot|\dot{\vec{V}}| = - \overrightarrow{\dot{V}} + \dot{\vec{V}} \end{equation} beschrieben werden. -Durch die Subtraktion der Ortsvektoren $\overrightarrow{V}$ und $\overrightarrow{Z}$ entsteht ein Vektor der vom Punkt $V$ auf $Z$ zeigt. -Da die Länge dieses Vektors beliebig sein kann, wird durch Division mit dem Betrag, die Länge auf eins festgelegt. +Die Differenz der Ortsvektoren $\vec{V}$ und $\vec{Z}$ ist ein Vektor der vom Punkt $V$ auf $Z$ zeigt. +Da die Länge dieses Vektors beliebig sein kann, wird durch Division durch den Betrag, die Länge auf eins festgelegt. Aus dem Verfolgungsproblem ist auch ersichtlich, dass die Punkte $V$ und $Z$ nicht am gleichen Ort starten und so eine Division durch Null ausgeschlossen ist. Wenn die Punkte $V$ und $Z$ trotzdem am gleichen Ort starten, ist die Lösung trivial. -Nun wird die Gleichung mit deren rechten Seite skalar multipliziert, um das Gleichungssystem von zwei auf eine Gleichung zu reduzieren. +Nun wird die Gleichung mit $\dot{\vec{V}}$ skalar multipliziert, um das Gleichungssystem von zwei auf eine Gleichung zu reduzieren. \begin{align} \label{lambertw:pursuerDGL} - \frac{\overrightarrow{Z}-\overrightarrow{V}}{|\overrightarrow{Z}-\overrightarrow{V}|}\cdot - \overrightarrow{\dot{V}} + \frac{\vec{Z}-\vec{V}}{|\vec{Z}-\vec{V}|}\cdot + \dot{\vec{V}} &= - |\overrightarrow{\dot{V}}|^2 + |\dot{\vec{V}}|^2 \\ - \frac{\overrightarrow{Z}-\overrightarrow{V}}{|\overrightarrow{Z}-\overrightarrow{V}|}\cdot \frac{\overrightarrow{\dot{V}}}{|\overrightarrow{\dot{V}}|} + \frac{\vec{Z}-\vec{V}}{|\vec{Z}-\vec{V}|}\cdot \frac{\dot{\vec{V}}}{|\dot{\vec{V}}|} &= 1 \end{align} -Diese DGL ist der Kern des Verfolgungsproblems, insofern der Verfolger die Strategie 1 verwendet. - +Die Lösungen dieser Differentialgleichung sind die gesuchten Verfolgungskurven, insofern der Verfolger die Strategie 1 verwendet. \subsection{Ziel \label{lambertw:subsection:Ziel}} @@ -89,14 +101,11 @@ Zum Beispiel könnte ein Ziel auf einer Geraden flüchten, welches auf einer Ebe \begin{equation} \vec{Z}(t) = - \begin{Bmatrix} - 0\\ - t - \end{Bmatrix} + \left( \begin{array}{c} 0 \\ t \end{array} \right) \end{equation} beschrieben werden könnte. Mit dieser Gleichung ist das Ziel auch schon vollumfänglich definiert. -Die Fluchtkurve kann eine beliebige Form haben, jedoch wird die zu lösende DGL immer komplexer. +Die Fluchtkurve kann eine beliebige Form haben, jedoch wird die zu lösende Differentialgleichung immer komplexer. -- cgit v1.2.1 From 8d63b7cdea0c9bed2fed397a7dd35cf9c53aae8b Mon Sep 17 00:00:00 2001 From: Kuster Yanik Date: Wed, 20 Jul 2022 22:04:39 +0200 Subject: adjusted chapter --- buch/papers/lambertw/main.log | 692 +++-------------------------------------- buch/papers/lambertw/teil1.tex | 21 +- 2 files changed, 56 insertions(+), 657 deletions(-) (limited to 'buch/papers') diff --git a/buch/papers/lambertw/main.log b/buch/papers/lambertw/main.log index 4b0af4d..754563d 100644 --- a/buch/papers/lambertw/main.log +++ b/buch/papers/lambertw/main.log @@ -1,14 +1,12 @@ -This is pdfTeX, Version 3.141592653-2.6-1.40.23 (TeX Live 2021/W32TeX) (preloaded format=pdflatex 2021.11.16) 15 MAR 2022 13:23 +This is pdfTeX, Version 3.141592653-2.6-1.40.23 (MiKTeX 21.8) (preloaded format=pdflatex 2021.9.21) 20 JUL 2022 18:38 entering extended mode - restricted \write18 enabled. - %&-line parsing enabled. -**main.tex -(./main.tex -LaTeX2e <2021-11-15> -L3 programming layer <2021-11-12> +**./main.tex +(main.tex +LaTeX2e <2021-06-01> patch level 1 +L3 programming layer <2021-08-27> ! 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-Missing character: There is no e in font nullfont! -Missing character: There is no r in font nullfont! -Missing character: There is no n in font nullfont! -Missing character: There is no . in font nullfont! - -Overfull \hbox (5.55557pt too wide) in paragraph at lines 26--28 -\/cmr/m/n/10 ^^?u - [] - -Overfull \hbox (7.50002pt too wide) in paragraph at lines 26--28 -[]\/cmr/m/n/10 U +Overfull \hbox (20.0pt too wide) in paragraph at lines 6--10 +[][] [] @@ -734,16 +124,16 @@ Enter file name: l.30 \input{papers/lambertw/teil0.tex} - ^^M + *** (cannot \read from terminal in nonstop modes) Here is how much of TeX's memory you used: - 36 strings out of 478371 - 593 string characters out of 5852527 - 296836 words of memory out of 5000000 - 18242 multiletter control sequences out of 15000+600000 - 403598 words of font info for 28 fonts, out of 8000000 for 9000 + 22 strings out of 478927 + 609 string characters out of 2852535 + 290175 words of memory out of 3000000 + 17980 multiletter control sequences out of 15000+600000 + 403430 words of font info for 27 fonts, out of 8000000 for 9000 1141 hyphenation exceptions out of 8191 - 23i,1n,32p,120b,183s stack positions out of 5000i,500n,10000p,200000b,80000s + 16i,0n,26p,94b,28s stack positions out of 5000i,500n,10000p,200000b,80000s ! ==> Fatal error occurred, no output PDF file produced! diff --git a/buch/papers/lambertw/teil1.tex b/buch/papers/lambertw/teil1.tex index 3415c45..2f71f43 100644 --- a/buch/papers/lambertw/teil1.tex +++ b/buch/papers/lambertw/teil1.tex @@ -25,7 +25,7 @@ Wir verwenden die Hergeleiteten Gleichungen \frac{1}{4}\left(\left(y_0+r_0\right)\eta+\left(r_0-y_0\right)ln\left(\eta\right)-r_0+3y_0\right) \\ \chi &= - \frac{r_0+y_0}{r_0-y_0}; \cdot\chi \\ + \frac{r_0+y_0}{r_0-y_0}\\ \eta &= \left(\frac{x}{x_0}\right)^2 @@ -37,13 +37,13 @@ Wir verwenden die Hergeleiteten Gleichungen Wir definieren einen Treffer wenn die Koordinaten des Verfolgers mit denen des Ziels übereinstimmen bei einem diskreten Zeitpunkt $t_1$. Aus dem vorangegangenem Beispiel, sind die Gleichungen zu den x- und y-Koordinaten des Verfolgers bekannt. Die Des Ziels sind \begin{equation} - \overrightarrow{Z}(t) + \vec{Z}(t) = \left( \begin{array}{c} 0 \\ v \cdot t \end{array} \right) = \left( \begin{array}{c} 0 \\ t \end{array} \right) ;\quad - \overrightarrow{V}(t) + \vec{V}(t) = \left( \begin{array}{c} x(t) \\ y(t) \end{array} \right) \label{lambertw:Anfangspunkte} @@ -52,7 +52,7 @@ Wir definieren einen Treffer wenn die Koordinaten des Verfolgers mit denen des Z Somit gilt es \begin{equation*} - \overrightarrow{Z}(t_1)=\overrightarrow{V}(t_1) + \vec{Z}(t_1)=\vec{V}(t_1) \end{equation*} zu lösen. Da die $y(t)$ viel komplexer ist als $x(t)$ wird das Problem in zwei einzelne Teilprobleme zerlegt. Wobei die Bedingung der x- und y-Koordinaten einzeln überprüft werden. @@ -72,7 +72,10 @@ zu lösen. Da die $y(t)$ viel komplexer ist als $x(t)$ wird das Problem in zwei \\ \end{align*} -Zuerst wird die Bedingung der x-Koordinate betrachtet. Diese kann durch quadrieren und anschliessendes multiplizieren von $\chi$ vereinfacht werden. +Zuerst wird die Bedingung der x-Koordinate betrachtet. +Diese kann durch quadrieren und anschliessendes multiplizieren von $\chi$ vereinfacht werden. +Es ist zu beachten, dass $W(x)$ die Lambert W-Funktion ist, welche im Kapitel \eqref{buch:section:lambertw} behandelt wurde. +Die Gleichung \begin{equation} 0 @@ -80,7 +83,8 @@ Zuerst wird die Bedingung der x-Koordinate betrachtet. Diese kann durch quadrier W\left(\chi\cdot e^{\chi-\frac{4t}{r_0-y_0}}\right) \end{equation} -Dies entspricht genau den Nullstellen der Lambert W-Funktion. Da die Lambert W-Funktion genau eine Nullstelle bei + +entspricht genau den Nullstellen der Lambert W-Funktion. Da die Lambert W-Funktion genau eine Nullstelle bei \begin{equation*} W(0)=0 @@ -100,5 +104,10 @@ Dies nützt nicht viel, da unendlich viel Zeit vergehen müsste damit ein Treffe Somit kann nach den Gestellten Bedingungen das Ziel nie getroffen werden. Dieses Resultat ist aber eher akademischer Natur, weil der Verfolger und das Ziel als Punkt betrachtet wurden. Wobei aber in Realität nicht von Punkten sondern von Objekten mit einer räumlichen Ausdehnung gesprochen werden kann. +Dies kann mathematisch mit + +\begin{equation} + |\vec{V}-\vec{Z]|0 +\end{equation} -- cgit v1.2.1 From a7da84afe5d97069c243f103bb1438a459764cd3 Mon Sep 17 00:00:00 2001 From: Kuster Yanik Date: Wed, 20 Jul 2022 22:07:21 +0200 Subject: further adjustment --- buch/papers/lambertw/teil1.tex | 12 +++++++++++- 1 file changed, 11 insertions(+), 1 deletion(-) (limited to 'buch/papers') diff --git a/buch/papers/lambertw/teil1.tex b/buch/papers/lambertw/teil1.tex index 2f71f43..eb43b3e 100644 --- a/buch/papers/lambertw/teil1.tex +++ b/buch/papers/lambertw/teil1.tex @@ -104,10 +104,20 @@ Dies nützt nicht viel, da unendlich viel Zeit vergehen müsste damit ein Treffe Somit kann nach den Gestellten Bedingungen das Ziel nie getroffen werden. Dieses Resultat ist aber eher akademischer Natur, weil der Verfolger und das Ziel als Punkt betrachtet wurden. Wobei aber in Realität nicht von Punkten sondern von Objekten mit einer räumlichen Ausdehnung gesprochen werden kann. -Dies kann mathematisch mit +Somit wird in einer nächsten Betrachtung untersucht, ob der Verfolger dem Ziel näher kommt als ein definierter Trefferradius. +Falls dies stattfinden sollte, wird dies als Treffer interpretiert. +Mathematisch kann dies mit \begin{equation} |\vec{V}-\vec{Z]|0 \end{equation} +beschrieben werden, wobei $a_min$ dem Trefferradius entspricht. +Diese Gleichung wird noch quadriert, um die Wurzeln des Betrages loszuwerden. +Da sowohl der Betrag als auch $a_min$ grösser null sind, bleibt die Aussage unverändert. + +\begin{equation} + |\vec{V}-\vec{Z]|^20 +\end{equation} + -- cgit v1.2.1 From 1504ba1daa40a4ea1057a767dab89a210a9f4ae4 Mon Sep 17 00:00:00 2001 From: Kuster Yanik Date: Thu, 21 Jul 2022 12:07:31 +0200 Subject: Corrected writing Error --- buch/papers/lambertw/teil1.tex | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) (limited to 'buch/papers') diff --git a/buch/papers/lambertw/teil1.tex b/buch/papers/lambertw/teil1.tex index eb43b3e..aa7f226 100644 --- a/buch/papers/lambertw/teil1.tex +++ b/buch/papers/lambertw/teil1.tex @@ -29,9 +29,9 @@ Wir verwenden die Hergeleiteten Gleichungen \eta &= \left(\frac{x}{x_0}\right)^2 - \:;\: + \\ r_0 - = + &= \sqrt{x_0^2+y_0^2} \\ \end{align*} Wir definieren einen Treffer wenn die Koordinaten des Verfolgers mit denen des Ziels übereinstimmen bei einem diskreten Zeitpunkt $t_1$. Aus dem vorangegangenem Beispiel, sind die Gleichungen zu den x- und y-Koordinaten des Verfolgers bekannt. Die Des Ziels sind @@ -55,7 +55,7 @@ Somit gilt es \vec{Z}(t_1)=\vec{V}(t_1) \end{equation*} -zu lösen. Da die $y(t)$ viel komplexer ist als $x(t)$ wird das Problem in zwei einzelne Teilprobleme zerlegt. Wobei die Bedingung der x- und y-Koordinaten einzeln überprüft werden. +zu lösen. Da $y(t)$ viel komplexer ist als $x(t)$ wird das Problem in zwei einzelne Teilprobleme zerlegt. Wobei die Bedingung der x- und y-Koordinaten einzeln überprüft werden. \begin{align*} 0 -- cgit v1.2.1 From 0a60dc01038a4c9444043f6675877e1d52cd12d6 Mon Sep 17 00:00:00 2001 From: Kuster Yanik Date: Thu, 21 Jul 2022 12:29:12 +0200 Subject: corrected a typo --- buch/papers/lambertw/teil1.tex | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) (limited to 'buch/papers') diff --git a/buch/papers/lambertw/teil1.tex b/buch/papers/lambertw/teil1.tex index aa7f226..e8171fd 100644 --- a/buch/papers/lambertw/teil1.tex +++ b/buch/papers/lambertw/teil1.tex @@ -109,7 +109,7 @@ Falls dies stattfinden sollte, wird dies als Treffer interpretiert. Mathematisch kann dies mit \begin{equation} - |\vec{V}-\vec{Z]|0 + |\vec{V}-\vec{Z}|0 \end{equation} beschrieben werden, wobei $a_min$ dem Trefferradius entspricht. @@ -117,7 +117,7 @@ Diese Gleichung wird noch quadriert, um die Wurzeln des Betrages loszuwerden. Da sowohl der Betrag als auch $a_min$ grösser null sind, bleibt die Aussage unverändert. \begin{equation} - |\vec{V}-\vec{Z]|^20 + |\vec{V}-\vec{Z}|^2 0 \end{equation} -- cgit v1.2.1 From b5e57cde49a8cf16d39ad198b2c3e41136c74d4a Mon Sep 17 00:00:00 2001 From: daHugen Date: Thu, 21 Jul 2022 23:45:02 +0200 Subject: made some changes and added some things --- .../papers/lambertw/Bilder/VerfolgungskurveBsp.png | Bin 124329 -> 297455 bytes buch/papers/lambertw/teil4.tex | 70 +++++++++++++++------ 2 files changed, 51 insertions(+), 19 deletions(-) (limited to 'buch/papers') diff --git a/buch/papers/lambertw/Bilder/VerfolgungskurveBsp.png b/buch/papers/lambertw/Bilder/VerfolgungskurveBsp.png index 53eb2f9..90758cd 100644 Binary files a/buch/papers/lambertw/Bilder/VerfolgungskurveBsp.png and b/buch/papers/lambertw/Bilder/VerfolgungskurveBsp.png differ diff --git a/buch/papers/lambertw/teil4.tex b/buch/papers/lambertw/teil4.tex index 6184369..bc1bf4d 100644 --- a/buch/papers/lambertw/teil4.tex +++ b/buch/papers/lambertw/teil4.tex @@ -3,45 +3,60 @@ % % (c) 2020 Prof Dr Andreas Müller, Hochschule Rapperswil % -\section{Beispiel Verfolgungskurve +\section{Beispiel einer Verfolgungskurve \label{lambertw:section:teil4}} -\rhead{Beispiel Verfolgungskurve} -In diesem Abschnitt wird rechnerisch das Beispiel einer Verfolgungskurve mit der Verfolgungsstrategie 1 beschreiben. +\rhead{Beispiel einer Verfolgungskurve} +In diesem Abschnitt wird rechnerisch das Beispiel einer Verfolgungskurve mit der Verfolgungsstrategie 1 beschreiben. Dafür werden zuerst Bewegungsraum, Anfangspositionen und Bewegungsverhalten definiert, in einem nächsten Schritt soll eine Differentialgleichung dafür aufgestellt werden und anschliessend gelöst werden. -Das zu verfolgende Ziel \(\overrightarrow{Z}\) wandert auf einer Gerade mit konstanter Geschwindigkeit \(v = 1\), wobei diese Gerade der \(y\)-Achse entspricht. Der Verfolger \(\overrightarrow{V}\) startet auf einem beliebigen Punkt im ersten Quadrant und bewegt sich auch mit konstanter Geschwindigkeit. Diese Anfangspunkte oder Anfangsbedingungen können wie folgt formuliert werden: +\subsection{Anfangsbedingungen definieren und einsetzen + \label{lambertw:subsection:Anfangsbedingungen}} +Das zu verfolgende Ziel \(\vec{Z}\) bewegt sich entlang der \(y\)-Achse mit konstanter Geschwindigkeit \(v = 1\), beginnend beim Ursprung des Kartesischen Koordinatensystems. Der Verfolger \(\vec{V}\) startet auf einem beliebigen Punkt im ersten Quadranten und bewegt sich auch mit konstanter Geschwindigkeit \(|\dot{V}| = 1\) in Richtung Ziel. Diese Anfangspunkte oder Anfangsbedingungen können wie folgt formuliert werden: \begin{equation} - \overrightarrow{Z} + \vec{Z} = \left( \begin{array}{c} 0 \\ v \cdot t \end{array} \right) = \left( \begin{array}{c} 0 \\ t \end{array} \right) - ; - \overrightarrow{V} + ,\: + \vec{V} = \left( \begin{array}{c} x \\ y \end{array} \right) - \label{lambertw:Anfangspunkte} + \:\text{und}\:\: + \bigl| \dot{V} \bigl| + = + 1. + \label{lambertw:Anfangsbed} \end{equation} -Wenn man diese Startpunkte in die Gleichung der Verfolgungskurve \eqref{lambertw:pursuerDGL} einfügt ergibt sich folgender Ausdruck: +Wir haben nun die Anfangsbedingungen definiert, jetzt fehlt nur noch eine DGL, welche die fortlaufende Änderung der Position und Bewegungsrichtung des Verfolgers beschreibt. +Diese DGL haben wir bereits in Kapitel \ref{lambertw:subsection:Verfolger} definiert, und zwar Gleichung \eqref{lambertw:pursuerDGL}. Wenn man die Startpunkte einfügt ergibt sich folgender Ausdruck: \begin{equation} \frac{\left( \begin{array}{c} 0-x \\ t-y \end{array} \right)}{\sqrt{x^2 + (t-y)^2}} - \circ + \cdot \left(\begin{array}{c} \dot{x} \\ \dot{y} \end{array}\right) = - 1 - \label{lambertw:eqMitAnfangspunkte} + 1. + \label{lambertw:eqMitAnfangsbed} \end{equation} -Macht man den linken Term Bruchfrei und löst das Skalarprodukt auf, dann ergibt sich folgende DGL: + +\subsection{DGL vereinfachen + \label{lambertw:subsection:DGLvereinfach}} +Nun haben wir eine Gleichung, es stellt sich aber die Frage ob es überhaupt eine geschlossene Lösung dafür gibt. Eine Funktion welche die Beziehung \(y(x)\) beschreibt oder sogar \(x(t)\) und \(y(t)\) liefert. Zum jetzigen Zeitpunkt mag es nicht trivial scheinen, aber mit den gewählten Anfangsbedingungen \eqref{lambertw:Anfangsbed} ist es möglich eine geschlossene Lösung für die Gleichung \eqref{lambertw:eqMitAnfangsbed} zu finden. +Auf dem Weg dahin muss die definierte DGL zuerst wesentlich vereinfacht werden, sei es mittels algebraische Umformungen oder mit den Tools aus der Analysis. Also legen wir los! + +Zuerst müssen wir den Bruch in \eqref{lambertw:eqMitAnfangsbed} los werden, der sieht so nicht handlich aus. Dafür multiplizieren wir beidseitig mit dem Nenner: \[ \left( \begin{array}{c} 0-x \\ t-y \end{array} \right) - \circ + \cdot \left(\begin{array}{c} \dot{x} \\ \dot{y} \end{array}\right) - = \sqrt{x^2 + (t-y)^2}\\ + = \sqrt{x^2 + (t-y)^2},\\ \] +In einem weiteren Schritt, lösen wir das Skalarprodukt auf und erhalten folgende Gleichung \eqref{lambertw:eqOhneSkalarprod} ohne vektorielle Grössen: \begin{equation} -x \cdot \dot{x} + (t-y) \cdot \dot{y} = \sqrt{x^2 + (t-y)^2} - \label{lambertw:eq1BspVerfolgKurve} + \label{lambertw:eqOhneSkalarprod} \end{equation} +Ist es nicht schön? Wir sind die Im nächsten Schritt quadriert man beide Seiten, erweitert den neu entstandenen quadratischen Term, bringt alles auf die linke Seite und klammert gemeinsames aus. \begin{align*} ((t-y) \dot{y} - x \dot{x})^2 @@ -71,7 +86,10 @@ Im letzten Ausdruck erkennt man das Muster einer binomischen Formel, was den Aus (x \dot{y} + (t-y) \dot{x})^2 &= 0 \end{align*} -Wenn man nun beidseitig die Quadratwurzel zieht, dann ergibt sich im Vergleich zu \eqref{lambertw:eq1BspVerfolgKurve} eine wesentlich einfachere DGL: + +\subsection{Zeitabhängigkeit loswerden + \label{lambertw:subsection:ZeitabhLoswerden}} +Wenn man nun beidseitig die Quadratwurzel zieht, dann ergibt sich im Vergleich zu \eqref{lambertw:eqOhneSkalarprod} eine wesentlich einfachere DGL: \begin{equation} x \dot{y} + (t-y) \dot{x} = 0 @@ -112,6 +130,9 @@ Um das Integral los zu werden, leitet man den vorherigen Ausdruck \eqref{lambert xy^{\prime\prime} - \sqrt{1+y^{\prime\, 2}} &= 0 \end{align*} + +\subsection{DGL lösen + \label{lambertw:subsection:DGLloes}} Mittels der Substitution \(y^{\prime} = u\) kann vorherige DGL in eine erster Ordnung umgewandelt werden: \begin{equation*} xu^{\prime} - \sqrt{1+u^2} @@ -149,6 +170,8 @@ Diese kann mit den selben Methoden gelöst werden, diesmal in Kombination mit de C_1 + C_2 x^2 - \frac{ln(x)}{8 \cdot C_2} \end{align*} +\subsection{Lösung analysieren + \label{lambertw:subsection:LoesAnalys}} \begin{figure} \centering \includegraphics{papers/lambertw/Bilder/VerfolgungskurveBsp.png} @@ -173,7 +196,11 @@ Für die Koeffizienten \(C_1\) und \(C_2\) ergibt sich ein Anfangswertproblem, w \item Aufgrund des Monotoniewechsels in der Kurve muss es auch ein Minimum aufweisen. Es stellt sich nun die Frage: Wo befindet sich dieser Punkt? Durch eine logische Überlegung kann eine Abschätzung darüber getroffen werden und zwar, dass dieser dann entsteht, wenn \(A\) und \(P\) die gleiche \(y\)-Koordinaten besitzen. In diesem Moment ändert die Richtung der \(y\)-Komponente der Geschwindigkeit und somit auch sein Vorzeichen. \end{itemize} -Alle diese Eigenschafte stimmen mit dem überein, was man von einer Kurve dieser Art erwarten würde, siehe \ref{lambertw:BildFunkLoes}. Nun stellt sich die Frage wie die Kurve wirklich aussieht, dies wird durch das Einsetzen folgender Anfangsbedingungen erreicht: +Alle diese Eigenschafte stimmen mit dem überein, was man von einer Kurve dieser Art erwarten würde, siehe \ref{lambertw:BildFunkLoes}. Nun stellt sich die Frage wie die Kurve wirklich aussieht. + +\subsection{Allgemeine Lösung + \label{lambertw:subsection:AllgLoes}} +Dies wird durch das Einsetzen folgender Anfangsbedingungen erreicht: \begin{equation} y(x)\big \vert_{t=0} = @@ -215,7 +242,12 @@ Leitet man die Funktion \eqref{lambertw:funkLoes} nach x ab und setzt die Anfang \frac{1}{2}\left(\left(y_0+r_0\right)\frac{x}{x_0^2}+\left(r_0-y_0\right)\frac{1}{x}\right) \\ -4t &= - \left(y_0+r_0\right)\left(\eta-1\right)+\left(r_0-y_0\right)ln\left(\eta\right) \\ + \left(y_0+r_0\right)\left(\eta-1\right)+\left(r_0-y_0\right)ln\left(\eta\right) +\end{align*} + +\subsection{Funktion nach der Zeit + \label{lambertw:subsection:FunkNachT}} +\begin{align*} -4t+\left(y_0+r_0\right) &= \left(y_0+r_0\right)\eta+\left(r_0-y_0\right)ln\left(\eta\right) \\ -- cgit v1.2.1 From 137e7755104042841230d40f0e6f1132d9d430db Mon Sep 17 00:00:00 2001 From: Kuster Yanik Date: Fri, 22 Jul 2022 15:26:31 +0200 Subject: Polished some sentences. Corrected missing amount in formula. Added new information in chapter Wird das Ziel erreicht? --- buch/papers/lambertw/teil0.tex | 14 ++--- buch/papers/lambertw/teil1.tex | 116 ++++++++++++++++++++++++++++------------- 2 files changed, 86 insertions(+), 44 deletions(-) (limited to 'buch/papers') diff --git a/buch/papers/lambertw/teil0.tex b/buch/papers/lambertw/teil0.tex index 2905605..30c4b60 100644 --- a/buch/papers/lambertw/teil0.tex +++ b/buch/papers/lambertw/teil0.tex @@ -46,9 +46,6 @@ Daraus folgt, dass eine Strategie zwei dieser drei Parameter festlegen muss, um \label{lambertw:table:Strategien} \end{table} - - - \begin{figure} \centering \includegraphics[scale=0.1]{./papers/lambertw/Bilder/pursuerDGL2.pdf} @@ -57,14 +54,14 @@ Daraus folgt, dass eine Strategie zwei dieser drei Parameter festlegen muss, um \end{figure} In der Tabelle \eqref{lambertw:table:Strategien} sind drei mögliche Strategien aufgezählt. -Im Folgend wird nur noch auf die Strategie 1 eingegangen. +Im Folgenden wird nur noch auf die Strategie 1 eingegangen. Bei dieser Strategie ist die Geschwindigkeit konstant und der Verfolger bewegt sich immer direkt auf sein Ziel zu. In der Abbildung \eqref{lambertw:grafic:pursuerDGL2} ist das Problem dargestellt, wobei $\vec{V}$ der Ortsvektor des Verfolgers, $\vec{Z}$ der Ortsvektor des Ziels und $\dot{\vec{V}}$ der Geschwindigkeitsvektor des Verfolgers ist. Die konstante Geschwindigkeit kann man mit der Gleichung \begin{equation} |\dot{\vec{V}}| - = const = A + = \operatorname{const} = A \quad A\in\mathbb{R}>0 \end{equation} darstellen. Der Geschwindigkeitsvektor wiederum kann mit der Gleichung @@ -80,12 +77,11 @@ Aus dem Verfolgungsproblem ist auch ersichtlich, dass die Punkte $V$ und $Z$ nic Wenn die Punkte $V$ und $Z$ trotzdem am gleichen Ort starten, ist die Lösung trivial. Nun wird die Gleichung mit $\dot{\vec{V}}$ skalar multipliziert, um das Gleichungssystem von zwei auf eine Gleichung zu reduzieren. \begin{align} - \label{lambertw:pursuerDGL} - \frac{\vec{Z}-\vec{V}}{|\vec{Z}-\vec{V}|}\cdot - \dot{\vec{V}} + \frac{\vec{Z}-\vec{V}}{|\vec{Z}-\vec{V}|}\cdot|\dot{\vec{V}}|\cdot\dot{\vec{V}} &= |\dot{\vec{V}}|^2 \\ + \label{lambertw:pursuerDGL} \frac{\vec{Z}-\vec{V}}{|\vec{Z}-\vec{V}|}\cdot \frac{\dot{\vec{V}}}{|\dot{\vec{V}}|} &= 1 @@ -105,7 +101,7 @@ Zum Beispiel könnte ein Ziel auf einer Geraden flüchten, welches auf einer Ebe \end{equation} beschrieben werden könnte. Mit dieser Gleichung ist das Ziel auch schon vollumfänglich definiert. -Die Fluchtkurve kann eine beliebige Form haben, jedoch wird die zu lösende Differentialgleichung immer komplexer. +Die Fluchtkurve kann eine beliebige Form haben, jedoch wird die zu lösende Differentialgleichung für die Verfolgungskurve immer komplexer. diff --git a/buch/papers/lambertw/teil1.tex b/buch/papers/lambertw/teil1.tex index e8171fd..819658a 100644 --- a/buch/papers/lambertw/teil1.tex +++ b/buch/papers/lambertw/teil1.tex @@ -4,18 +4,18 @@ % (c) 2020 Prof Dr Andreas Müller, Hochschule Rapperswil % \section{Wird das Ziel erreicht? -\label{lambertw:section:teil1}} -\rhead{Problemstellung} +\label{lambertw:section:Wird_das_Ziel_erreicht}} +\rhead{Wird das Ziel erreicht?} Sehr oft kommt es vor, dass bei Verfolgungsproblemen die Frage auftaucht, ob das Ziel überhaupt erreicht wird. Wenn zum Beispiel die Geschwindigkeit des Verfolgers kleiner ist als diejenige des Ziels, gibt es Anfangsbedingungen bei denen das Ziel nie erreicht wird. -Sobald diese Frage beantwortet wurde stellt sich meist die Frage, wie lange es dauert bis das Ziel erreicht wird. +Im Anschluss dieser Frage stellt sich meist die nächste Frage, wie lange es dauert bis das Ziel erreicht wird. Diese beiden Fragen werden in diesem Kapitel behandelt und an einem Beispiel betrachtet. - -\subsection{Ziel erreichen (überarbeiten) -\label{lambertw:subsection:ZielErreichen}} +% +%\subsection{Ziel erreichen (überarbeiten) +%\label{lambertw:subsection:ZielErreichen}} Für diese Betrachtung wird das Beispiel aus \eqref{lambertw:section:teil4} zur Hilfe genommen. -Wir verwenden die Hergeleiteten Gleichungen +Wir verwenden die Hergeleiteten Gleichungen für Startbedingung im ersten Quadranten \begin{align*} x\left(t\right) &= @@ -32,30 +32,36 @@ Wir verwenden die Hergeleiteten Gleichungen \\ r_0 &= - \sqrt{x_0^2+y_0^2} \\ + \sqrt{x_0^2+y_0^2} \text{.}\\ \end{align*} -Wir definieren einen Treffer wenn die Koordinaten des Verfolgers mit denen des Ziels übereinstimmen bei einem diskreten Zeitpunkt $t_1$. Aus dem vorangegangenem Beispiel, sind die Gleichungen zu den x- und y-Koordinaten des Verfolgers bekannt. Die Des Ziels sind +% +Das Ziel wird erreicht, wenn die Koordinaten des Verfolgers mit denen des Ziels bei einem diskreten Zeitpunkt $t_1$ übereinstimmen. +Somit gilt es + +\begin{equation*} + \vec{Z}(t_1)=\vec{V}(t_1) +\end{equation*} +% +zu lösen. +Aus dem vorangegangenem Beispiel, ist die Parametrisierung des Verfolgers und des Ziels bekannt. +Das Ziel wird parametrisiert durch \begin{equation} \vec{Z}(t) = - \left( \begin{array}{c} 0 \\ v \cdot t \end{array} \right) - = \left( \begin{array}{c} 0 \\ t \end{array} \right) - ;\quad +\end{equation} +% +und der Verfolger durch + +\begin{equation} \vec{V}(t) = \left( \begin{array}{c} x(t) \\ y(t) \end{array} \right) - \label{lambertw:Anfangspunkte} + \text{.} \end{equation} - -Somit gilt es - -\begin{equation*} - \vec{Z}(t_1)=\vec{V}(t_1) -\end{equation*} - -zu lösen. Da $y(t)$ viel komplexer ist als $x(t)$ wird das Problem in zwei einzelne Teilprobleme zerlegt. Wobei die Bedingung der x- und y-Koordinaten einzeln überprüft werden. +% + Da $y(t)$ viel komplexer ist als $x(t)$ wird das Problem in zwei einzelne Teilprobleme zerlegt. Wobei die Bedingung der x- und y-Koordinaten einzeln überprüft werden. Es entstehen daher folgende Bedingungen \begin{align*} 0 @@ -71,7 +77,8 @@ zu lösen. Da $y(t)$ viel komplexer ist als $x(t)$ wird das Problem in zwei einz \frac{1}{4}\left(\left(y_0+r_0\right)\eta+\left(r_0-y_0\right)ln\left(\eta\right)-r_0+3y_0\right) \\ \end{align*} - +% +, welche Beide gleichzeitig erfüllt sein müssen, damit das Ziel erreicht wurde. Zuerst wird die Bedingung der x-Koordinate betrachtet. Diese kann durch quadrieren und anschliessendes multiplizieren von $\chi$ vereinfacht werden. Es ist zu beachten, dass $W(x)$ die Lambert W-Funktion ist, welche im Kapitel \eqref{buch:section:lambertw} behandelt wurde. @@ -82,26 +89,62 @@ Die Gleichung = W\left(\chi\cdot e^{\chi-\frac{4t}{r_0-y_0}}\right) \end{equation} - - +% entspricht genau den Nullstellen der Lambert W-Funktion. Da die Lambert W-Funktion genau eine Nullstelle bei \begin{equation*} W(0)=0 \end{equation*} - -besitzt. Kann die Bedingung weiter vereinfacht werden zu +% +besitzt, kann die Bedingung weiter vereinfacht werden zu \begin{equation} 0 = \chi\cdot e^{\chi-\frac{4t}{r_0-y_0}} + \text{.} \end{equation} - +% Da $\chi\neq0$ und die Exponentialfunktion nie null sein kann, ist diese Bedingung unmöglich zu erfüllen. Beim Grenzwert für $t\rightarrow\infty$ geht die Exponentialfunktion gegen null. -Dies nützt nicht viel, da unendlich viel Zeit vergehen müsste damit ein Treffer möglich wäre. -Somit kann nach den Gestellten Bedingungen das Ziel nie getroffen werden. +Dies nützt nicht viel, da unendlich viel Zeit vergehen müsste damit ein Einholen möglich wäre. +Somit kann nach den Gestellten Bedingungen das Ziel nie erreicht werden. +Aus der Symmetrie des Problems an der y-Achse können auch alle Anfangspunkte im zweiten Quadranten die Bedingungen nicht erfüllen. +Bei allen Anfangspunkten mit $y_0<0$ ist ein Einholen unmöglich, da die Geschwindigkeit des Verfolgers und Ziels übereinstimmen und der Verfolger dem Ziel bereits am Anfang nachgeht. +Wenn die Wertemenge der Anfangsbedingung um die positive y-Achse erweitert wird, kann das Ziel wiederum erreicht werden. +Sobald der Verfolger auf der positiven y-Achse startet, bewegen sich Verfolger und Ziel aufeinander zu, da der Geschwindigkeitsvektor des Verfolgers auf das Ziel Zeigt und der Verfolger sich auf der Fluchtgeraden befindet. +Dies führt zwingend dazu, dass der Verfolger das Ziel erreichen wird. +Die Verfolgungskurve kann in diesem Fall mit + +\begin{equation} + \vec{V}(t) + = + \left( \begin{array}{c} 0 \\ y_0-t \end{array} \right) +\end{equation} +% +parametrisiert werden. +Nun kann der Abstand zwischen Verfolger und Ziel leicht bestimmt und nach 0 aufgelöst werden. +Daraus folgt + +\begin{equation} + 0 + = + |\vec{V}(t_1)-\vec{Z}(t_1)| + = + y_0-2t_1 +\end{equation} +% +, was aufgelöst zu + +\begin{equation} + t_1 + = + \frac{y_0}{2} +\end{equation} +% +führt. +Nun ist klar, dass lediglich Anfangspunkte auf der positiven y-Achse oder direkt auf dem Ziel dazu führen, dass der Verfolger das Ziel bei $t_1$ einholt. +Bei allen anderen Anfangspunkten wird der Verfolger das Ziel nie erreichen. Dieses Resultat ist aber eher akademischer Natur, weil der Verfolger und das Ziel als Punkt betrachtet wurden. Wobei aber in Realität nicht von Punkten sondern von Objekten mit einer räumlichen Ausdehnung gesprochen werden kann. Somit wird in einer nächsten Betrachtung untersucht, ob der Verfolger dem Ziel näher kommt als ein definierter Trefferradius. @@ -109,15 +152,18 @@ Falls dies stattfinden sollte, wird dies als Treffer interpretiert. Mathematisch kann dies mit \begin{equation} - |\vec{V}-\vec{Z}|0 + |\vec{V}-\vec{Z}|0 \end{equation} - -beschrieben werden, wobei $a_min$ dem Trefferradius entspricht. -Diese Gleichung wird noch quadriert, um die Wurzeln des Betrages loszuwerden. -Da sowohl der Betrag als auch $a_min$ grösser null sind, bleibt die Aussage unverändert. +% +beschrieben werden, wobei $a_{min}$ dem Trefferradius entspricht. +Durch quadrieren verschwindet die Wurzel des Betrages, womit \begin{equation} - |\vec{V}-\vec{Z}|^2 0 + |\vec{V}-\vec{Z}|^2 0 \end{equation} +% +die neue Bedingung ist. +Da sowohl der Betrag als auch $a_{min}$ grösser null sind, bleibt die Aussage unverändert. + -- cgit v1.2.1 From 7152877683f6ee147a404b5ab5f00a10a9a80c16 Mon Sep 17 00:00:00 2001 From: Kuster Yanik Date: Fri, 22 Jul 2022 15:36:14 +0200 Subject: polished sentence in chapter Verfolger und Verfolgungsstrategie --- buch/papers/lambertw/teil0.tex | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) (limited to 'buch/papers') diff --git a/buch/papers/lambertw/teil0.tex b/buch/papers/lambertw/teil0.tex index 2905605..41257e6 100644 --- a/buch/papers/lambertw/teil0.tex +++ b/buch/papers/lambertw/teil0.tex @@ -78,7 +78,7 @@ Die Differenz der Ortsvektoren $\vec{V}$ und $\vec{Z}$ ist ein Vektor der vom Pu Da die Länge dieses Vektors beliebig sein kann, wird durch Division durch den Betrag, die Länge auf eins festgelegt. Aus dem Verfolgungsproblem ist auch ersichtlich, dass die Punkte $V$ und $Z$ nicht am gleichen Ort starten und so eine Division durch Null ausgeschlossen ist. Wenn die Punkte $V$ und $Z$ trotzdem am gleichen Ort starten, ist die Lösung trivial. -Nun wird die Gleichung mit $\dot{\vec{V}}$ skalar multipliziert, um das Gleichungssystem von zwei auf eine Gleichung zu reduzieren. +Nun wird die Gleichung mit $\dot{\vec{V}}$ skalar multipliziert, um das Gleichungssystem von zwei auf eine Gleichung zu reduzieren. Somit ergeben sich \begin{align} \label{lambertw:pursuerDGL} \frac{\vec{Z}-\vec{V}}{|\vec{Z}-\vec{V}|}\cdot @@ -88,7 +88,7 @@ Nun wird die Gleichung mit $\dot{\vec{V}}$ skalar multipliziert, um das Gleichun \\ \frac{\vec{Z}-\vec{V}}{|\vec{Z}-\vec{V}|}\cdot \frac{\dot{\vec{V}}}{|\dot{\vec{V}}|} &= - 1 + 1 \text{.} \end{align} Die Lösungen dieser Differentialgleichung sind die gesuchten Verfolgungskurven, insofern der Verfolger die Strategie 1 verwendet. @@ -98,11 +98,13 @@ Als nächstes gehen wir auf das Ziel ein. Wie der Verfolger wird auch unser Ziel sich strikt an eine Fluchtstrategie halten, welche von Anfang an bekannt ist. Diese Strategie kann als Parameterdarstellung der Position nach der Zeit beschrieben werden. Zum Beispiel könnte ein Ziel auf einer Geraden flüchten, welches auf einer Ebene mit der Parametrisierung + \begin{equation} \vec{Z}(t) = \left( \begin{array}{c} 0 \\ t \end{array} \right) \end{equation} + beschrieben werden könnte. Mit dieser Gleichung ist das Ziel auch schon vollumfänglich definiert. Die Fluchtkurve kann eine beliebige Form haben, jedoch wird die zu lösende Differentialgleichung immer komplexer. -- cgit v1.2.1 From df7209b60ecfb28b0f32a674920357cec038d6a0 Mon Sep 17 00:00:00 2001 From: Kuster Yanik Date: Fri, 22 Jul 2022 15:58:02 +0200 Subject: Corrected typos --- buch/papers/lambertw/teil1.tex | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) (limited to 'buch/papers') diff --git a/buch/papers/lambertw/teil1.tex b/buch/papers/lambertw/teil1.tex index 819658a..b46ed12 100644 --- a/buch/papers/lambertw/teil1.tex +++ b/buch/papers/lambertw/teil1.tex @@ -15,7 +15,7 @@ Diese beiden Fragen werden in diesem Kapitel behandelt und an einem Beispiel bet %\subsection{Ziel erreichen (überarbeiten) %\label{lambertw:subsection:ZielErreichen}} Für diese Betrachtung wird das Beispiel aus \eqref{lambertw:section:teil4} zur Hilfe genommen. -Wir verwenden die Hergeleiteten Gleichungen für Startbedingung im ersten Quadranten +Wir verwenden die hergeleiteten Gleichungen für Startbedingung im ersten Quadranten \begin{align*} x\left(t\right) &= @@ -112,7 +112,7 @@ Somit kann nach den Gestellten Bedingungen das Ziel nie erreicht werden. Aus der Symmetrie des Problems an der y-Achse können auch alle Anfangspunkte im zweiten Quadranten die Bedingungen nicht erfüllen. Bei allen Anfangspunkten mit $y_0<0$ ist ein Einholen unmöglich, da die Geschwindigkeit des Verfolgers und Ziels übereinstimmen und der Verfolger dem Ziel bereits am Anfang nachgeht. Wenn die Wertemenge der Anfangsbedingung um die positive y-Achse erweitert wird, kann das Ziel wiederum erreicht werden. -Sobald der Verfolger auf der positiven y-Achse startet, bewegen sich Verfolger und Ziel aufeinander zu, da der Geschwindigkeitsvektor des Verfolgers auf das Ziel Zeigt und der Verfolger sich auf der Fluchtgeraden befindet. +Sobald der Verfolger auf der positiven y-Achse startet, bewegen sich Verfolger und Ziel aufeinander zu, da der Geschwindigkeitsvektor des Verfolgers auf das Ziel zeigt und der Verfolger sich auf der Fluchtgeraden befindet. Dies führt zwingend dazu, dass der Verfolger das Ziel erreichen wird. Die Verfolgungskurve kann in diesem Fall mit -- cgit v1.2.1 From f3ced170faef47bcdf76f96eabf0534a58fd348e Mon Sep 17 00:00:00 2001 From: Fabian <@> Date: Fri, 22 Jul 2022 16:31:41 +0200 Subject: 0f1, struktur --- buch/papers/0f1/images/airy.pdf | Bin 0 -> 25568 bytes buch/papers/0f1/images/konvergenzAiry.pdf | Bin 0 -> 15137 bytes buch/papers/0f1/images/konvergenzNegativ.pdf | Bin 0 -> 16312 bytes buch/papers/0f1/images/konvergenzPositiv.pdf | Bin 0 -> 18924 bytes buch/papers/0f1/images/stabilitaet.pdf | Bin 0 -> 20944 bytes buch/papers/0f1/listings/kettenbruchIterativ.c | 45 ++++++++++++++++++++++++ buch/papers/0f1/listings/kettenbruchRekursion.c | 19 ++++++++++ buch/papers/0f1/listings/potenzreihe.c | 13 +++++++ 8 files changed, 77 insertions(+) create mode 100644 buch/papers/0f1/images/airy.pdf create mode 100644 buch/papers/0f1/images/konvergenzAiry.pdf create mode 100644 buch/papers/0f1/images/konvergenzNegativ.pdf create mode 100644 buch/papers/0f1/images/konvergenzPositiv.pdf create mode 100644 buch/papers/0f1/images/stabilitaet.pdf create mode 100644 buch/papers/0f1/listings/kettenbruchIterativ.c create mode 100644 buch/papers/0f1/listings/kettenbruchRekursion.c create mode 100644 buch/papers/0f1/listings/potenzreihe.c (limited to 'buch/papers') diff --git a/buch/papers/0f1/images/airy.pdf b/buch/papers/0f1/images/airy.pdf new file mode 100644 index 0000000..672d789 Binary files /dev/null and b/buch/papers/0f1/images/airy.pdf differ diff --git a/buch/papers/0f1/images/konvergenzAiry.pdf b/buch/papers/0f1/images/konvergenzAiry.pdf new file mode 100644 index 0000000..2e635ea Binary files /dev/null and b/buch/papers/0f1/images/konvergenzAiry.pdf differ diff --git a/buch/papers/0f1/images/konvergenzNegativ.pdf b/buch/papers/0f1/images/konvergenzNegativ.pdf new file mode 100644 index 0000000..3b58be4 Binary files /dev/null and b/buch/papers/0f1/images/konvergenzNegativ.pdf differ diff --git a/buch/papers/0f1/images/konvergenzPositiv.pdf b/buch/papers/0f1/images/konvergenzPositiv.pdf new file mode 100644 index 0000000..24e3fd5 Binary files /dev/null and b/buch/papers/0f1/images/konvergenzPositiv.pdf differ diff --git a/buch/papers/0f1/images/stabilitaet.pdf b/buch/papers/0f1/images/stabilitaet.pdf new file mode 100644 index 0000000..be4af42 Binary files /dev/null and b/buch/papers/0f1/images/stabilitaet.pdf differ diff --git a/buch/papers/0f1/listings/kettenbruchIterativ.c b/buch/papers/0f1/listings/kettenbruchIterativ.c new file mode 100644 index 0000000..befea8e --- /dev/null +++ b/buch/papers/0f1/listings/kettenbruchIterativ.c @@ -0,0 +1,45 @@ +static double fractionRekursion0f1(const double c, const double x, unsigned int n) +{ + double a = 0.0; + double b = 0.0; + double Ak = 0.0; + double Bk = 0.0; + double Ak_1 = 0.0; + double Bk_1 = 0.0; + double Ak_2 = 0.0; + double Bk_2 = 0.0; + + for (unsigned int k = 0; k <= n; ++k) + { + if (k == 0) + { + a = 1.0; //a0 + //recursion fomula for A0, B0 + Ak = a; + Bk = 1.0; + } + else if (k == 1) + { + a = 1.0; //a1 + b = x/c; //b1 + //recursion fomula for A1, B1 + Ak = a * Ak_1 + b * 1.0; + Bk = a * Bk_1; + } + else + { + a = 1 + (x / (k * ((k - 1) + c)));//ak + b = -(x / (k * ((k - 1) + c))); //bk + //recursion fomula for Ak, Bk + Ak = a * Ak_1 + b * Ak_2; + Bk = a * Bk_1 + b * Bk_2; + } + //save old values + Ak_2 = Ak_1; + Bk_2 = Bk_1; + Ak_1 = Ak; + Bk_1 = Bk; + } + //approximation fraction + return Ak/Bk; +} diff --git a/buch/papers/0f1/listings/kettenbruchRekursion.c b/buch/papers/0f1/listings/kettenbruchRekursion.c new file mode 100644 index 0000000..958d4e1 --- /dev/null +++ b/buch/papers/0f1/listings/kettenbruchRekursion.c @@ -0,0 +1,19 @@ +static double fractionIter0f1(const double b0, const double z, unsigned int n) +{ + double a = 0.0; + double b = 0.0; + double abn = 0.0; + double temp = 0.0; + + for (; n > 0; --n) + { + abn = z / (n * ((n - 1) + b0)); //abn = ak, bk + + a = n > 1 ? (1 + abn) : 1; //a0, a1 + b = n > 1 ? -abn : abn; //b1 + + temp = b / (a + temp); + } + + return a + temp; //a0 + temp +} \ No newline at end of file diff --git a/buch/papers/0f1/listings/potenzreihe.c b/buch/papers/0f1/listings/potenzreihe.c new file mode 100644 index 0000000..bfaa0e3 --- /dev/null +++ b/buch/papers/0f1/listings/potenzreihe.c @@ -0,0 +1,13 @@ +#include + +static double powerseries(const double b, const double z, unsigned int n) +{ + double temp = 0.0; + + for (unsigned int k = 0; k < n; ++k) + { + temp += pow(z, k) / (factorial(k) * pochhammer(b, k)); + } + + return temp; +} \ No newline at end of file -- cgit v1.2.1 From 4e98fc86feda32c0f2c20b879fe357ff64ee1441 Mon Sep 17 00:00:00 2001 From: daHugen Date: Fri, 22 Jul 2022 21:37:40 +0200 Subject: made some changes and added some things --- buch/papers/lambertw/teil4.tex | 239 ++++++++++++++++++++++++----------------- 1 file changed, 141 insertions(+), 98 deletions(-) (limited to 'buch/papers') diff --git a/buch/papers/lambertw/teil4.tex b/buch/papers/lambertw/teil4.tex index bc1bf4d..78314a1 100644 --- a/buch/papers/lambertw/teil4.tex +++ b/buch/papers/lambertw/teil4.tex @@ -44,134 +44,137 @@ Nun haben wir eine Gleichung, es stellt sich aber die Frage ob es überhaupt ein Auf dem Weg dahin muss die definierte DGL zuerst wesentlich vereinfacht werden, sei es mittels algebraische Umformungen oder mit den Tools aus der Analysis. Also legen wir los! Zuerst müssen wir den Bruch in \eqref{lambertw:eqMitAnfangsbed} los werden, der sieht so nicht handlich aus. Dafür multiplizieren wir beidseitig mit dem Nenner: -\[ +\begin{equation} \left( \begin{array}{c} 0-x \\ t-y \end{array} \right) \cdot \left(\begin{array}{c} \dot{x} \\ \dot{y} \end{array}\right) - = \sqrt{x^2 + (t-y)^2},\\ -\] + = \sqrt{x^2 + (t-y)^2}. + \label{lambertw:eqOhneBruch} +\end{equation} In einem weiteren Schritt, lösen wir das Skalarprodukt auf und erhalten folgende Gleichung \eqref{lambertw:eqOhneSkalarprod} ohne vektorielle Grössen: \begin{equation} -x \cdot \dot{x} + (t-y) \cdot \dot{y} - = \sqrt{x^2 + (t-y)^2} + = \sqrt{x^2 + (t-y)^2}. \label{lambertw:eqOhneSkalarprod} \end{equation} -Ist es nicht schön? Wir sind die -Im nächsten Schritt quadriert man beide Seiten, erweitert den neu entstandenen quadratischen Term, bringt alles auf die linke Seite und klammert gemeinsames aus. -\begin{align*} - ((t-y) \dot{y} - x \dot{x})^2 - &= x^2 + (t-y)^2 \\ - x^2 \dot{x}^2 - 2x(t-y) \dot{x} \dot{y} + (t-y)^2 \dot{y} - &= x^2 + (t-y)^2 \\ - \dot{x}^2 x^2 - x^2 - 2x(t-y) \dot{x} \dot{y} + \dot{y}^2 (t-y)^2 - (t-y)^2 - &= 0 \\ - (\dot{x}^2 - 1) \cdot x^2 - 2x(t-y) \dot{x} \dot{y} + (\dot{y}^2 - 1) \cdot (t-y)^2 - &= 0 -\end{align*} -Der letzte Ausdruck kann mittels folgender Beziehung \(\dot{x}^2 + \dot{y}^2 = 1\) vereinfacht werden, anschliessend wird die Gleichung mit \(-1\) multipliziert: -\[ - \underbrace{(\dot{x}^2 - 1)}_{\mathclap{-\dot{y}^2}} \cdot x^2 - 2x(t-y) \dot{x} \dot{y} + \underbrace{(\dot{y}^2 - 1)}_{\mathclap{-\dot{x}^2}} \cdot (t-y)^2 - = 0 -\] -\begin{align*} - - \dot{y}^2 \cdot x^2 - 2x(t-y) \dot{x} \dot{y} - \dot{x}^2 \cdot (t-y)^2 - &= 0 \\ - \dot{y}^2 \cdot x^2 + 2x(t-y) \dot{x} \dot{y} + \dot{x}^2 \cdot (t-y)^2 - &= 0 -\end{align*} -Im letzten Ausdruck erkennt man das Muster einer binomischen Formel, was den Ausdruck wesentlich vereinfacht: -\begin{align*} - x^2 \dot{y}^2 + 2 \cdot x \dot{y} \cdot (t-y) \dot{x} + (t-y)^2 \dot{x}^2 - &= 0 \\ +Im letzten Schritt, fällt die Nützlichkeit des Skalarproduktes in der Verfolgungsgleichung \eqref{lambertw:pursuerDGL} markant auf. Meiner Meinung ziemlich elegant und nicht selbstverständlich in der Lage zu sein, das Problem auf eine einzige Gleichung reduzieren zu können. + +Die nächsten Schritte sind sehr algebralastig und würden das lesen dieses Papers einfach nur mühsam machen, also werde ich diese auslassen. Hingegen werden ich die algebraische Hauptschritte erwähnen, die notwendig wären falls man es trotzdem selber ausprobieren möchte: +\begin{itemize} + \item + Quadrieren und erweitern. + \item + Gruppieren. + \item + Substitution von einzelnen Thermen mittels der Beziehung \(\dot{x}^2 + \dot{y}^2 = 1\). + \item + Und das erkennen des Musters einer Binomischen Formel. +\end{itemize} +Das Resultat aller dieser Vereinfachungen führen zu folgender Gleichung \eqref{lambertw:eqAlgVerinfacht}, die viel handhabbarer ist als zuvor: +\begin{equation} (x \dot{y} + (t-y) \dot{x})^2 - &= 0 -\end{align*} + = 0. + \label{lambertw:eqAlgVerinfacht} +\end{equation} +Da der linke Term gleich Null ist, muss auch der Inhalt des Quadrates gleich Null sein, somit folgt eine weitere Vereinfachung, welche zu einer im Vergleich zu \eqref{lambertw:eqOhneSkalarprod} wesentlich einfachere DGL führt: +\begin{equation} + x \dot{y} + (t-y) \dot{x} + = 0. + \label{lambertw:eqGanzVerinfacht} +\end{equation} +Kompakt, ohne Wurzelterme und Quadrate, nur elementare Operationen und Ableitungen. Nun stellt sich die Frage wie es weiter gehen soll, bei der Gleichung \eqref{lambertw:eqGanzVerinfacht} scheinen keine weiteren Vereinfachungen möglich zu sein. Wir brauchen einen neuen Ansatz um unser Ziel einer möglichen Lösung zu verfolgen. \subsection{Zeitabhängigkeit loswerden \label{lambertw:subsection:ZeitabhLoswerden}} -Wenn man nun beidseitig die Quadratwurzel zieht, dann ergibt sich im Vergleich zu \eqref{lambertw:eqOhneSkalarprod} eine wesentlich einfachere DGL: +Der nächste logischer Schritt schient irgendwie die Zeitabhängigkeit in der Gleichung \eqref{lambertw:eqGanzVerinfacht} loszuwerden, aber wieso? Nun, wie am Anfang von Abschnitt \ref{lambertw:subsection:DGLvereinfach} beschrieben, suchen wir eine Lösung der Art \(y(x)\), dies ist natürlich erst möglich wenn wir die Abhängigkeit nach \(t\) eliminieren können. + +Der erste Schritt auf dem Weg dahin, ist es die zeitlichen Ableitung los zu werden, dafür wird \eqref{lambertw:eqGanzVerinfacht} beidseitig mit \(\dot{x}\) dividiert, was erlaubt ist, weil diese Änderung ungleich Null ist: \begin{equation} - x \dot{y} + (t-y) \dot{x} - = 0 - \label{lambertw:equation5} -\end{equation} -Um die Ableitung nach der Zeit wegzubringen, wird beidseitig mit \(\dot{x}\) dividiert, wobei \(\frac{\dot{y}}{\dot{x}} = \frac{dy}{dt}/\frac{dx}{dt} = \frac{dy}{dx}\) entspricht. -\[ x \frac{\dot{y}}{\dot{x}} + (t-y) \frac{\dot{x}}{\dot{x}} - = 0 -\] -Nach dem Kürzen und Vereinfachen ergibt sich folgende DGL: + = 0. + \label{lambertw:eqVorKeineZeitAbleit} +\end{equation} +Der Grund dafür ist, dass +\begin{equation} + \frac{\displaystyle\dot{y}}{\displaystyle\dot{x}} + = \frac{\displaystyle\frac{dy}{dt}}{\displaystyle\frac{dx}{dt}} + = \frac{dy}{dx} + = y^{\prime}, + \label{lambertw:eqQuotZeitAbleit} +\end{equation} +und somit kann der Quotient dieser zeitlichen Ableitungen in eine Ableitung nach \(x\) umgewandelt werden. +Nach dem diese Eigenschaft \eqref{lambertw:eqQuotZeitAbleit} in \eqref{lambertw:eqVorKeineZeitAbleit} eingesetzt wird und vereinfacht wurde, entsteht folgende neue Gleichung: \begin{equation} x y^{\prime} + t - y - = 0 + = 0. \label{lambertw:DGLmitT} \end{equation} -Hier wäre es passend wenn man die Abhängigkeit nach \(t\) komplett wegbringen könnte. Um dies zu erreichen muss man auf die Definition der Bogenlänge aus Analysis 2 zurückgreifen: +Hier wäre es natürlich passend wenn man die Abhängigkeit nach \(t\) komplett wegbringen könnte. Um dies zu erreichen muss man auf die Definition der Bogenlänge aus der Analysis zurückgreifen, wobei die Strecke \(s\) folgendem entspricht: \begin{equation} s = v \cdot t = + 1 \cdot t + = t = - \int_{x_0}^{x_{end}}\sqrt{1+y^{\prime\, 2}} \: dx + \int_{\displaystyle x_0}^{\displaystyle x_{\text{end}}}\sqrt{1+y^{\prime\, 2}} \: dx. \label{lambertw:eqZuBogenlaenge} \end{equation} Nicht gerade auffällig ist die Richtung in welche hier integriert wird. Wenn der Verfolger sich wie vorgesehen am Anfang im ersten Quadranten befindet, dann muss sich dieser nach links bewegen, was nicht der üblichen Integrationsrichtung entspricht. Um eine Integration wie üblich von links nach rechts ausführen zu können, müssen die Integrationsgenerzen vertauscht werden, was in einem Vorzeichenwechsel resultiert. Wenn man nun \eqref{lambertw:eqZuBogenlaenge} in die DGL \eqref{lambertw:DGLmitT} einfügt, dann ergibt sich folgender Ausdruck: \begin{equation} x y^{\prime} - \int\sqrt{1+y^{\prime\, 2}} \: dx - y - = 0 + = 0. \label{lambertw:DGLohneT} \end{equation} -Um das Integral los zu werden, leitet man den vorherigen Ausdruck \eqref{lambertw:DGLohneT} nach \(x\) ab: -\begin{align*} +Um das Integral los zu werden, leitet man den vorherigen Ausdruck \eqref{lambertw:DGLohneT} nach \(x\) ab und erhaltet folgende DGL \eqref{lambertw:DGLohneInt}: +\begin{align} y^{\prime}+ xy^{\prime\prime} - \sqrt{1+y^{\prime\, 2}} - y^{\prime} - &= 0 \\ + &= 0, \\ xy^{\prime\prime} - \sqrt{1+y^{\prime\, 2}} - &= 0 -\end{align*} + &= 0. + \label{lambertw:DGLohneInt} +\end{align} +Nun sind wir unserem Ziel eine weiteren Schritt näher. Die Gleichung \eqref{lambertw:DGLohneInt} mag auf den ersten Blick nicht gerade einfach sein, aber im Nächsten Abschnitt werden wir sehen, dass sie relativ einfach zu lösen ist. \subsection{DGL lösen \label{lambertw:subsection:DGLloes}} -Mittels der Substitution \(y^{\prime} = u\) kann vorherige DGL in eine erster Ordnung umgewandelt werden: -\begin{equation*} +Die Gleichung \eqref{lambertw:DGLohneInt} ist eine DGL zweiter Ordnung und kann +mittels der Substitution \(y^{\prime} = u\) in eine DGL erster Ordnung umgewandelt werden: +\begin{equation} xu^{\prime} - \sqrt{1+u^2} - = 0 + = 0. \label{lambertw:DGLmitU} -\end{equation*} -Welche mittels Separation gelöst werden kann: -\begin{align*} - arsinh(u) + C_L - &= - ln(x) + C_R \\ - arsinh(u) +\end{equation} +Diese \eqref{lambertw:DGLmitU} zu lösen ist ziemlich einfach da sie separierbar ist, also werde ich direkt zur Lösung \eqref{lambertw:loesDGLmitU} übergehen: +\begin{align} + \operatorname{arsinh}(u) &= - ln(x) + C \\ + \operatorname{ln}(x) + C, \\ u &= - sinh(ln(x) + C) -\end{align*} -In dem man die Substitution rückgängig macht, erhält man eine weitere DGL erster Ordnung die bereits separiert ist: + \operatorname{sinh}(\operatorname{ln}(x) + C). + \label{lambertw:loesDGLmitU} +\end{align} +Indem man die Substitution rückgängig macht, erhält man eine weitere DGL erster Ordnung die bereits separiert ist und erhält folgende Lösung: \begin{equation} y^{\prime} = - sinh(ln(x) + C) + \operatorname{sinh}(\operatorname{ln}(x) + C). + \label{lambertw:loesDGLmitY} \end{equation} -Diese kann mit den selben Methoden gelöst werden, diesmal in Kombination mit der exponentiellen Definition der \(sinh\)-Funktion: -\begin{align*} +Diese \eqref{lambertw:loesDGLmitY} kann mit den selben Methoden gelöst werden wie \eqref{lambertw:DGLmitU}, diesmal aber in Kombination mit der exponentiellen Definition der \(\operatorname{sinh}\)-Funktion: +\begin{equation} y - &= - \int sinh(ln(x) + C) \\ - &= - \int \frac{1}{2} (e^{ln(x)+C} - e^{-(ln(x)+C)}) \\ - &= - \frac{e^C}{4} x^2 - \frac{ln(x)}{2 \cdot e^C} + C_1 \\ - &= - C_1 + C_2 x^2 - \frac{ln(x)}{8 \cdot C_2} -\end{align*} + = + C_1 + C_2 x^2 - \frac{\operatorname{ln}(x)}{8 \cdot C_2}. +\end{equation} +Nun haben wir eine Lösung, aber wie es immer mit Lösungen ist, stellt sich die Frage ob sie überhaupt plausibel ist. Dieser Frage werden wir in nächsten Abschnitt \ref{lambertw:subsection:LoesAnalys} nachgehen. \subsection{Lösung analysieren \label{lambertw:subsection:LoesAnalys}} + \begin{figure} \centering \includegraphics{papers/lambertw/Bilder/VerfolgungskurveBsp.png} @@ -184,47 +187,87 @@ Das Resultat, wie ersichtlich, ist folgende Funktion \eqref{lambertw:funkLoes} w \begin{equation} {\color{red}{y(x)}} = - C_1 + C_2 {\color{darkgreen}{x^2}} {\color{blue}{-}} \frac{\color{blue}{ln(x)}}{8 \cdot C_2} + C_1 + C_2 {\color{darkgreen}{x^2}} {\color{blue}{-}} \frac{\color{blue}{\operatorname{ln}(x)}}{8 \cdot C_2}. \label{lambertw:funkLoes} \end{equation} -Für die Koeffizienten \(C_1\) und \(C_2\) ergibt sich ein Anfangswertproblem, welches für deren Bestimmung gelöst werden muss. Zuerst soll aber eine qualitative Intuition, oder Idee für das Aussehen der Funktion \(\bf{y(x)}\) geschaffen werden: +Für die Koeffizienten \(C_1\) und \(C_2\) ergibt sich ein Anfangswertproblem, welches für deren Bestimmung gelöst werden muss. Zuerst soll aber eine qualitative Intuition, oder Idee für das Aussehen der Funktion \(y(x)\) geschaffen werden: \begin{itemize} \item - Für grosse \(x\)-Werte welche in der Regel in der Nähe von \(x_0\) sein sollten, ist der quadratisch Term in der Funktion dominant und somit für immer kleiner werdende \(x\) geht der Verfolger in Richtung \(y\)-Achse wobei seine Steigung stetig sinkt, was Sinn macht wenn der Verfolgte entlang der \(y\)-Achse steigt. + Für grosse \(x\)-Werte, welche in der Regel in der Nähe von \(x_0\) sein sollten, ist der quadratisch Term in der Funktion \eqref{lambertw:funkLoes} dominant. + \item + Für immer kleiner werdende \(x\) geht der Verfolger in Richtung \(y\)-Achse, wobei seine Steigung stetig sinkt, was Sinn macht wenn der Verfolgte entlang der \(y\)-Achse steigt. Irgendwann werden Verfolger und Ziel auf gleicher Höhe sein. \item Für \(x\)-Werte in der Nähe von \(0\) ist das asymptotische Verhalten des Logarithmus dominant, dies macht auch Sinn da sich der Verfolgte auf der \(y\)-Achse bewegt und der Verfolger im nachgeht. \item - Aufgrund des Monotoniewechsels in der Kurve muss es auch ein Minimum aufweisen. Es stellt sich nun die Frage: Wo befindet sich dieser Punkt? Durch eine logische Überlegung kann eine Abschätzung darüber getroffen werden und zwar, dass dieser dann entsteht, wenn \(A\) und \(P\) die gleiche \(y\)-Koordinaten besitzen. In diesem Moment ändert die Richtung der \(y\)-Komponente der Geschwindigkeit und somit auch sein Vorzeichen. + Aufgrund des Monotoniewechsels in der Kurve \eqref{lambertw:funkLoes} muss diese auch ein Minimum aufweisen. Es stellt sich nun die Frage: Wo befindet sich dieser Punkt? + + Eine Abschätzung darüber kann getroffen werden und zwar, dass dieser dann entsteht, wenn \(A\) und \(P\) die gleiche \(y\)-Koordinaten besitzen. In diesem Moment ändert die Richtung der \(y\)-Komponente der Geschwindigkeit des Verfolgers, somit auch sein Vorzeichen und dadurch entsteht auch das Minimum. \end{itemize} -Alle diese Eigenschafte stimmen mit dem überein, was man von einer Kurve dieser Art erwarten würde, siehe \ref{lambertw:BildFunkLoes}. Nun stellt sich die Frage wie die Kurve wirklich aussieht. +Alle diese Eigenschafte stimmen mit dem überein, was man von einer Kurve dieser Art erwarten würde, welche durch die Grafik \ref{lambertw:BildFunkLoes} repräsentiert wurde. Nun stellt sich die Frage wie die Kurve wirklich aussieht. Dies wird im folgenden Abschnitt \ref{lambertw:subsection:AllgLoes} behandelt. -\subsection{Allgemeine Lösung +-------------------------------Ab hier muss im Kapitel 12.2 noch einiges bearbeitet werden----------------- +\subsection{Anfangswertproblem \label{lambertw:subsection:AllgLoes}} -Dies wird durch das Einsetzen folgender Anfangsbedingungen erreicht: +Wie üblich bei der Suche nach einer exakten Lösung, kommt ein Anfangswertproblem auf. Um dies zu lösen, müssen wir zuerst die Anfangswerte definieren. Da wir hier das Problem allgemein lösen, ergeben sich folgende zwei Anfangswerte: \begin{equation} y(x)\big \vert_{t=0} = y(x_0) = y_0 - \:;\: + \label{lambertw:eq1Anfangswert} +\end{equation} +und +\begin{equation} \frac{dy}{dx}\bigg \vert_{t=0} = y^{\prime}(x_0) = - \frac{y_0}{x_0} + \frac{y_0}{x_0}. + \label{lambertw:eq2Anfangswert} \end{equation} -Leitet man die Funktion \eqref{lambertw:funkLoes} nach x ab und setzt die Anfangsbedingungen ein, dann ergibt sich folgendes Gleichungssystem: -\begin{subequations} - \begin{align} - y_0 - &= - C_1 + C_2 x^2_0 - \frac{ln(x_0)}{8 \cdot C_2} \\ - \frac{y_0}{x_0} - &= - 2 \cdot C_2 x_0 - \frac{ln(x_0)}{8 \cdot C_2} - \end{align} -\end{subequations} +Der zweite Anfangswert \eqref{lambertw:eq2Anfangswert} mag nicht grade offensichtlich sein. Die Erklärung dafür ist aber simpel: Der Verfolger wird zum Zeitpunkt \(t=0\) in Richtung Koordinatenursprung bewegen wollen, wo sich das Ziel befindet. Somit entsteht das Steigungsdreieck \(\Delta x = x_0\) und \(\Delta y = y_0\). + +Das Lösen des Anfangswertproblems ist ein Problem aus der Algebra, auf welches ich nicht unbedingt eingehen möchte. Zur Vollständigkeit und Nachvollziehbarkeit werde ich aber das Gleichungssystem \eqref{lambertw:eqGleichungssystem} präsentieren, welches notwendig ist um das Anfangswertproblem zu lösen, sowie auch die allgemeine Lösung \eqref{lambertw:eqAllgLoes} die sich nach dem einsetzen der Koeffizienten \(C_1\) und \(C_2\) ergibt. + +\begin{itemize} + \item + Gleichungssystem: + \begin{subequations} + \begin{align} + y_0 + &= + C_1 + C_2 x^2_0 - \frac{\operatorname{ln}(x_0)}{8 \cdot C_2}, \\ + \frac{y_0}{x_0} + &= + 2 \cdot C_2 x_0 - \frac{1}{8 \cdot C_2 \cdot x_0}. + \end{align} + \label{lambertw:eqGleichungssystem} + \end{subequations} + \item + Allgemeine Funktion: + \begin{equation} + -4t + = + \left(y_0+r_0\right)\left(\eta-1\right)+\left(r_0-y_0\right)ln\left(\eta\right). + \label{lambertw:eqAllgLoes} + \end{equation} + Wobei aus Übersichtlichkeitsgründen \(\eta\) und \(r_0\) wie folgt definiert wurden: + \begin{equation} + \eta + = + \left(\frac{x}{x_0}\right)^2 + \:\:\text{und}\:\: + r_0 + = + \sqrt{x_0^2+y_0^2}. + \end{equation} +\end{itemize} + + + +Leitet man die Funktion \eqref{lambertw:funkLoes} nach \(x\) ab und setzt die Anfangsbedingungen ein, dann ergibt sich folgendes Gleichungssystem: + ... Mit folgenden Formeln geht es weiter: \begin{align*} \eta -- cgit v1.2.1 From 5da2fa5a5e6a2fa2b8a23745b8c300d15a06669d Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Patrik=20M=C3=BCller?= Date: Sat, 23 Jul 2022 15:19:20 +0200 Subject: Restruct paper, correct typos, add positive conclusion, add more citations and references, small changes to plots --- buch/papers/laguerre/definition.tex | 86 +++++++--- buch/papers/laguerre/eigenschaften.tex | 129 +++++++++++---- buch/papers/laguerre/gamma.tex | 184 ++++++++++++++------- buch/papers/laguerre/images/estimates.pdf | Bin 13780 -> 13813 bytes buch/papers/laguerre/images/laguerre_poly.pdf | Bin 19815 -> 19815 bytes buch/papers/laguerre/images/rel_error_simple.pdf | Bin 23353 -> 24455 bytes buch/papers/laguerre/images/targets.pdf | Bin 14462 -> 14495 bytes buch/papers/laguerre/main.tex | 2 +- buch/papers/laguerre/presentation/presentation.pdf | Bin 394774 -> 0 bytes .../presentation/sections/gamma_approx.tex | 2 +- buch/papers/laguerre/quadratur.tex | 98 +++++++---- buch/papers/laguerre/references.bib | 4 +- buch/papers/laguerre/scripts/estimates.py | 2 +- buch/papers/laguerre/scripts/laguerre_poly.py | 2 +- buch/papers/laguerre/scripts/rel_error_simple.py | 2 +- buch/papers/laguerre/scripts/targets.py | 2 +- 16 files changed, 357 insertions(+), 156 deletions(-) delete mode 100644 buch/papers/laguerre/presentation/presentation.pdf (limited to 'buch/papers') diff --git a/buch/papers/laguerre/definition.tex b/buch/papers/laguerre/definition.tex index 4729a93..e2062d2 100644 --- a/buch/papers/laguerre/definition.tex +++ b/buch/papers/laguerre/definition.tex @@ -3,51 +3,80 @@ % % (c) 2022 Patrik Müller, Ostschweizer Fachhochschule % -\section{Definition - \label{laguerre:section:definition}} -\rhead{Definition} -Die verallgemeinerte Laguerre-Differentialgleichung ist gegeben durch +\section{Herleitung% +% \section{Einleitung +% \section{Definition +\label{laguerre:section:definition}} +\rhead{Definition}% +In einem ersten Schritt möchten wir die Laguerre-Polynome +aus der Laguerre-\-Differentialgleichung herleiten. +Zudem möchten wir die Lösung auch auf +die assoziierten Laguerre-Polynome ausweiten. +Im Anschluss möchten wir dann noch die Orthogonalität dieser Polynome beweisen. + +\subsection{Assoziierte Laguerre-Differentialgleichung} +Die assoziierte Laguerre-Differentialgleichung ist gegeben durch \begin{align} x y''(x) + (\nu + 1 - x) y'(x) + n y(x) = 0 , \quad -n \in \mathbb{N}_0 +n \in \mathbb{N} , \quad x \in \mathbb{R} \label{laguerre:dgl} . \end{align} -Spannenderweise wurde die verallgemeinerte Laguerre-Differentialgleichung +Spannenderweise wurde die assoziierte Laguerre-Differentialgleichung zuerst von Yacovlevich Sonine (1849 - 1915) beschrieben, aber aufgrund ihrer Ähnlichkeit nach Laguerre benannt. Die klassische Laguerre-Diffentialgleichung erhält man, wenn $\nu = 0$. -Hier wird die verallgemeinerte Laguerre-Differentialgleichung verwendet, + +{\subsection{Potenzreihenansatz} +\label{laguerre:subsection:potenzreihenansatz}} +Hier wird die assoziierte Laguerre-Differentialgleichung verwendet, weil die Lösung mit derselben Methode berechnet werden kann. Zusätzlich erhält man aber die Lösung für den allgmeinen Fall. -Zur Lösung von \eqref{laguerre:dgl} verwenden wir einen -Potenzreihenansatz. -Da wir bereits wissen, dass die Lösung orthogonale Polynome sind, -erscheint dieser Ansatz sinnvoll. -Setzt man nun den Ansatz +Wir stellen die Vermutung auf, +dass die Lösungen orthogonale Polynome sind. +Die Orthogonalität der Lösung werden wir im +Abschnitt~\ref{laguerre:subsection:orthogonal} beweisen. +Zur Lösung von \eqref{laguerre:dgl} verwenden wir aufgrund +der getroffenen Vermutungen einen Potenzreihenansatz. +Der Potenzreihenansatz ist gegeben als +% Da wir bereits wissen, +% dass die Lösung orthogonale Polynome sind, +% erscheint dieser Ansatz sinnvoll. \begin{align*} y(x) - & = +& = \sum_{k=0}^\infty a_k x^k -\\ +% \\ +. +\end{align*} +Für die 1. und 2. Ableitungen erhalten wir +\begin{align*} y'(x) - & = +& = \sum_{k=1}^\infty k a_k x^{k-1} = \sum_{k=0}^\infty (k+1) a_{k+1} x^k \\ y''(x) - & = +& = \sum_{k=2}^\infty k (k-1) a_k x^{k-2} = \sum_{k=1}^\infty (k+1) k a_{k+1} x^{k-1} +. \end{align*} -in die Differentialgleichung ein, erhält man + +\subsection{Lösen der Laguerre-Differentialgleichung} +Setzt man nun den Potenzreihenansatz in +\eqref{laguerre:dgl} +%die Differentialgleichung +ein, +% erhält man +resultiert \begin{align*} \sum_{k=1}^\infty (k+1) k a_{k+1} x^k + @@ -64,16 +93,18 @@ n \sum_{k=0}^\infty a_k x^k 0. \end{align*} Daraus lässt sich die Rekursionsbeziehung -\begin{align*} +\begin{align} a_{k+1} & = \frac{k-n}{(k+1) (k + \nu + 1)} a_k -\end{align*} +\label{laguerre:rekursion} +\end{align} ableiten. Für ein konstantes $n$ erhalten wir als Potenzreihenlösung ein Polynom vom Grad $n$, denn für $k=n$ wird $a_{n+1} = 0$ und damit auch $a_{n+2}=a_{n+3}=\ldots=0$. -Aus der Rekursionsbeziehung ist zudem ersichtlich, +Aus %der Rekursionsbeziehung +\eqref{laguerre:rekursion} ist zudem ersichtlich, dass $a_0 \neq 0$ beliebig gewählt werden kann. Wählen wir nun $a_0 = 1$, dann folgt für die Koeffizienten $a_1, a_2, a_3$ \begin{align*} @@ -114,7 +145,7 @@ L_n(x) \sum_{k=0}^{n} \frac{(-1)^k}{k!} \binom{n}{k} x^k \label{laguerre:polynom} \end{align} -und mit $\nu \in \mathbb{R}$ die verallgemeinerten Laguerre-Polynome +und mit $\nu \in \mathbb{R}$ die assoziierten Laguerre-Polynome \begin{align} L_n^\nu(x) = @@ -132,14 +163,19 @@ Abbildung~\ref{laguerre:fig:polyeval} dargestellt. \end{figure} \subsection{Analytische Fortsetzung} -Durch die analytische Fortsetzung erhalten wir zudem noch die zweite Lösung der -Differentialgleichung mit der Form +Durch die analytische Fortsetzung können wir zudem noch die zweite Lösung der +Differentialgleichung erhalten. +Laut \eqref{buch:funktionentheorie:singularitäten:eqn:w1} hat die Lösung +die Form \begin{align*} \Xi_n(x) = -L_n(x) \ln(x) + \sum_{k=1}^\infty d_k x^k +L_n(x) \log(x) + \sum_{k=1}^\infty d_k x^k . \end{align*} +Eine Herleitung dazu lässt sich im +Abschnitt \ref{buch:funktionentheorie:subsection:dglsing} +im ersten Teil des Buches finden. Nach einigen aufwändigen Rechnungen, % die am besten ein Computeralgebrasystem übernimmt, die den Rahmen dieses Kapitel sprengen würden, @@ -147,7 +183,7 @@ erhalten wir \begin{align*} \Xi_n = -L_n(x) \ln(x) +L_n(x) \log(x) + \sum_{k=1}^n \frac{(-1)^k}{k!} \binom{n}{k} (\alpha_{n-k} - \alpha_n - 2 \alpha_k)x^k diff --git a/buch/papers/laguerre/eigenschaften.tex b/buch/papers/laguerre/eigenschaften.tex index 4adbe86..55d2276 100644 --- a/buch/papers/laguerre/eigenschaften.tex +++ b/buch/papers/laguerre/eigenschaften.tex @@ -3,32 +3,83 @@ % % (c) 2022 Patrik Müller, Ostschweizer Fachhochschule % -\section{Orthogonalität - \label{laguerre:section:orthogonal}} -Im Abschnitt~\ref{laguerre:section:definition} +\subsection{Orthogonalität% +\label{laguerre:subsection:orthogonal}} +\rhead{Orthogonalität}% +Im Abschnitt~\ref{laguerre:subsection:potenzreihenansatz} haben wir die Behauptung aufgestellt, dass die Laguerre-Polynome orthogonal sind. Zu dieser Behauptung möchten wir nun einen Beweis liefern. -Wenn wir \eqref{laguerre:dgl} in ein -Sturm-Liouville-Problem umwandeln können, haben wir bewiesen, dass es sich -bei den Laguerre-Polynomen um orthogonale Polynome handelt (siehe -Abschnitt~\ref{buch:integrale:subsection:sturm-liouville-problem}). -Der Beweis kann äquivalent auch über den Sturm-Liouville-Operator +% +Um die Orthogonalität von Funktionen zu zeigen, +bieten sich folgende Möglichkeiten an: +\begin{enumerate} +\item Identifizieren der Funktion als Eigenfunktion eines Skalarproduktes +mit einem selbstadjungierten Operator. +Dafür muss aber zuerst bewiesen werden, +dass der verwendete Operator selbstadjungiert ist. +Die Theorie dazu findet sich in den +Abschnitten~\ref{buch:orthogonal:section:orthogonale-polynome-und-dgl} und +\ref{buch:orthogonalitaet:section:bessel}. +\item Umformen der Differentialgleichung in die Form der +Sturm-Liouville-Differentialgleichung, +denn für dieses verallgemeinerte Problem +ist die Orthogonalität bereits bewiesen. +Die Theorie dazu findet sich im Abschnitt~\ref{buch:integrale:subsection:sturm-liouville-problem}. +\end{enumerate} + +% \subsubsection{Plan} +\subsubsection{Idee} +Für den Beweis der Orthogonalität der Laguerre-Polynome möchten +wir den zweiten Ansatz über das Sturm-Liouville-Problem verwenden. +% Dazu müssen wir die Laguerre-Differentialgleichung~\eqref{laguerre:dgl} +% in die Form der Sturm-Liouville-Differentialgleichung bringen. +Allerdings möchten wir nicht die Laguerre-Differentialgleichung +in die richtige Form bringen, +sondern den Laguerre-Operator \begin{align} -S +\Lambda = -\frac{1}{w(x)} \left(-\frac{d}{dx}p(x) \frac{d}{dx} + q(x) \right). -\label{laguerre:slop} +x \frac{d}{dx^2} + (\nu + 1 -x) \frac{d}{dx} +\label{laguerre:lagop} +. \end{align} -und den Laguerre-Operator +Da es sich beim Sturm-Liouville-Problem um ein Eigenwertproblem handelt, +kann die Orthogonalität äquivalent über denn Sturm-Liouville-Operator \begin{align} -\Lambda +S = -x \frac{d}{dx^2} + (\nu + 1 -x) \frac{d}{dx} +\frac{1}{w(x)} \left(-\frac{d}{dx}p(x) \frac{d}{dx} + q(x) \right). +\label{laguerre:slop} \end{align} -erhalten werden, -indem wir diese Operatoren einander gleichsetzen. -Aus der Beziehung +bewiesen werden. +Dazu müssen wir die Operatoren einander gleichsetzen. + +% Wenn wir \eqref{laguerre:dgl} in ein +% Sturm-Liouville-Problem umwandeln können, haben wir bewiesen, dass es sich +% bei den Laguerre-Polynomen um orthogonale Polynome handelt (siehe +% Abschnitt~\ref{buch:integrale:subsection:sturm-liouville-problem}). +% Der Beweis kann äquivalent auch über den Sturm-Liouville-Operator +% \begin{align} +% S +% = +% \frac{1}{w(x)} \left(-\frac{d}{dx}p(x) \frac{d}{dx} + q(x) \right). +% \label{laguerre:slop} +% \end{align} +% und den Laguerre-Operator +% \begin{align} +% \Lambda +% = +% x \frac{d}{dx^2} + (\nu + 1 -x) \frac{d}{dx} +% \end{align} +% erhalten werden, +% indem wir diese Operatoren einander gleichsetzen. + +\subsubsection{Umformen in Sturm-Liouville-Operator} +% Aus der Beziehung von +Setzen wir nun +\eqref{laguerre:lagop} und \eqref{laguerre:slop} +einander gleich \begin{align} S & = @@ -75,11 +126,13 @@ x^{\nu+1} e^{-x} \frac{d^2}{dx^2} + = x \frac{d^2}{dx^2} + (\nu + 1 - x) \frac{d}{dx}. \end{align*} -Mittels Koeffizientenvergleich kann nun abgelesen werden, dass $w(x) = x^\nu -e^{-x}$ und $C=1$ mit $\nu > -1$. +Mittels Koeffizientenvergleich kann nun abgelesen werden, +dass $w(x) = x^\nu e^{-x}$ und $C=1$ mit $\nu > -1$. Die Gewichtsfunktion $w(x)$ wächst für $x\rightarrow-\infty$ sehr schnell an, deshalb ist die Laguerre-Gewichtsfunktion nur geeignet für den Definitionsbereich $(0, \infty)$. + +\subsubsection{Randbedingungen} Bleibt nur noch sicherzustellen, dass die Randbedingungen, \begin{align} k_0 y(0) + h_0 p(0)y'(0) @@ -93,10 +146,12 @@ k_\infty y(\infty) + h_\infty p(\infty) y'(\infty) \label{laguerre:sllag_randb} \end{align} mit $|k_i|^2 + |h_i|^2 \neq 0,\,\forall i \in \{0, \infty\}$, erfüllt sind. -Am linken Rand (Gleichung~\eqref{laguerre:sllag_randa}) kann $y(0) = 1$, $k_0 = -0$ und $h_0 = 1$ verwendet werden, +% +Am linken Rand \eqref{laguerre:sllag_randa} kann $y(0) = 1$, $k_0 = 0$ und +$h_0 = 1$ verwendet werden, was auch die Laguerre-Polynome ergeben haben. -Für den rechten Rand ist die Bedingung (Gleichung~\eqref{laguerre:sllag_randb}) + +Für den rechten Rand ist die Bedingung \eqref{laguerre:sllag_randb} \begin{align*} \lim_{x \rightarrow \infty} p(x) y'(x) & = @@ -105,9 +160,27 @@ Für den rechten Rand ist die Bedingung (Gleichung~\eqref{laguerre:sllag_randb}) 0 \end{align*} für beliebige Polynomlösungen erfüllt für $k_\infty=0$ und $h_\infty=1$. -Damit können wir schlussfolgern: -Die verallgemeinerten Laguerre-Polynome sind orthogonal -bezüglich des Skalarproduktes auf dem Intervall $(0, \infty)$ -mit der verallgemeinerten Laguerre\--Gewichtsfunktion $w(x)=x^\nu e^{-x}$. -Die Laguerre-Polynome ($\nu=0$) sind somit orthognal im Intervall $(0, \infty)$ -mit der Gewichtsfunktion $w(x)=e^{-x}$. + +% Somit können wir schlussfolgern: +\begin{satz} +Die Laguerre-Polynome %($\nu=0$) +\eqref{laguerre:polynom} +% \begin{align*} +% L_n(x) +% = +% \sum_{k=0}^{n} \frac{(-1)^k}{k!} \binom{n}{k} x^k +% \end{align*} +sind orthognale Polynome bezüglich des Skalarproduktes +im Intervall~$(0, \infty)$ mit der Gewichts\-funktion~$w(x)=e^{-x}$. +\end{satz} + +\begin{satz} +Die assoziierten Laguerre-Polynome \eqref{laguerre:allg_polynom} +% \begin{align*} +% L_n^\nu(x) +% = +% \sum_{k=0}^{n} \frac{(-1)^k}{(\nu + 1)_k} \binom{n}{k} x^k. +% \end{align*} +sind orthogonale Polynome bezüglich des Skalarproduktes +im Intervall~$(0, \infty)$ mit der Gewichts\-funktion~$w(x)=x^\nu e^{-x}$. +\end{satz} diff --git a/buch/papers/laguerre/gamma.tex b/buch/papers/laguerre/gamma.tex index 2e5fc06..e40d8ca 100644 --- a/buch/papers/laguerre/gamma.tex +++ b/buch/papers/laguerre/gamma.tex @@ -3,17 +3,34 @@ % % (c) 2022 Patrik Müller, Ostschweizer Fachhochschule % -\section{Anwendung: Berechnung der Gamma-Funktion +\section{Anwendung: Berechnung der + Gamma-Funktion% \label{laguerre:section:quad-gamma}} +\rhead{Approximation der Gamma-Funktion}% Die Gauss-Laguerre-Quadratur kann nun verwendet werden, -um exponentiell abfallende Funktionen im Definitionsbereich $(0, \infty)$ zu -berechnen. -Dabei bietet sich z.B. die Gamma-Funkion hervorragend an, +um exponentiell abfallende Funktionen im Definitionsbereich~$(0, \infty)$ +zu berechnen. +Dabei bietet sich zum Beispiel die Gamma-Funktion hervorragend an, wie wir in den folgenden Abschnitten sehen werden. -\subsection{Gamma-Funktion} +Im ersten Abschnitt~\ref{laguerre:subsection:gamma} möchten wir noch einmal +die wichtigsten Eigenschaften der Gamma-Funktion betrachten, +bevor wir dann im zweiten Abschnitt~\ref{laguerre:subsection:gauss-lag-gamma} +diese Eigenschaften nutzen werden, +damit wir die Gauss-Laguerre-Quadratur für die Gamma-Funktion +markant verbessern können. +% damit wir sie dann in einem nächsten Schritt verwenden können, +% um unsere Approximationsmethode zu verbessern +% Im zweiten Abschnitt~\ref{laguerre:subsection:gauss-lag-gamma} +% wenden wir dann die Gauss-Laguerre-Quadratur auf die Gamma-Funktion und +% erweitern die Methode + +{\subsection{Gamma-Funktion} +\label{laguerre:subsection:gamma}} Die Gamma-Funktion ist eine Erweiterung der Fakultät auf die reale und komplexe Zahlenmenge. +Mehr Informationen zur Gamma-Funktion lassen sich im +Abschnitt~\ref{buch:rekursion:section:gamma} finden. Die Definition~\ref{buch:rekursion:def:gamma} beschreibt die Gamma-Funktion als Integral der Form \begin{align} @@ -22,24 +39,30 @@ Integral der Form \int_0^\infty x^{z-1} e^{-x} \, dx , \quad -\text{wobei Realteil von $z$ grösser als $0$} +\text{wobei } \operatorname{Re}(z) > 0 \label{laguerre:gamma} . \end{align} -Der Term $e^{-t}$ im Integranden und der Integrationsbereich erfüllen +Der Term $e^{-x}$ im Integranden und der Integrationsbereich erfüllen genau die Bedingungen der Laguerre-Integration. % Der Term $e^{-t}$ ist genau die Gewichtsfunktion der Laguerre-Integration und % der Definitionsbereich passt ebenfalls genau für dieses Verfahren. -Weiter zu erwähnen ist, dass für die verallgemeinerte Laguerre-Integration die -Gewichtsfunktion $t^\nu e^{-t}$ exakt dem Integranden für $\nu=z-1$ entspricht. +Weiter zu erwähnen ist, dass für die assoziierte Laguerre-Integration die +Gewichtsfunktion $x^\nu e^{-x}$ exakt dem Integranden +für $\nu = z - 1$ entspricht. \subsubsection{Funktionalgleichung} Die Gamma-Funktion besitzt die gleiche Rekursionsbeziehung wie die Fakultät, nämlich \begin{align} +\Gamma(z+1) += z \Gamma(z) +\quad +\text{mit } +\Gamma(1) = -\Gamma(z+1) +1 . \label{laguerre:gamma_funktional} \end{align} @@ -61,21 +84,64 @@ her. Dadurch lassen Werte der Gamma-Funktion sich für $z$ in der rechten Halbebene leicht in die linke Halbebene übersetzen und umgekehrt. -\subsection{Berechnung mittels Gauss-Laguerre-Quadratur} +{\subsection{Berechnung mittels Gauss-Laguerre-Quadratur} +\label{laguerre:subsection:gauss-lag-gamma}} In den vorherigen Abschnitten haben wir gesehen, -dass sich die Gamma-Funktion bestens für die Gauss-Laguerre-Quadratur eignet. +dass sich die Gamma-Funktion bestens für die Gauss-Laguerre-Quadratur +\begin{align*} +\int_0^\infty x^{z-1} e^{-x} \, dx += +\int_0^\infty f(x) w(x) \, dx +\approx +\sum_{i=1}^n f(x_i) A_i +\end{align*} +eignet. Nun bieten sich uns zwei Optionen, diese zu berechnen: \begin{enumerate} -\item Wir verwenden die verallgemeinerten Laguerre-Polynome, dann $f(x)=1$. -\item Wir verwenden die Laguerre-Polynome, dann $f(x)=x^{z-1}$. +\item Wir verwenden die assoziierten Laguerre-Polynome $L_n^\nu(x)$ mit +$w(x) = x^\nu e^{-x}$, $\nu = z - 1$ und $f(x) = 1$. +% $f(x)=1$. +% \begin{align*} +% \int_0^\infty x^{z-1} e^{-x} \, dx +% = +% \int_0^\infty f(x) w(x) \, dx +% \quad +% \text{mit } +% w(x) +% = +% x^\nu e^{-x}, +% \nu +% = +% z - 1 +% \text{ und } +% f(x) = 1 +% . +% \end{align*} +\item Wir verwenden die Laguerre-Polynome $L_n(x)$ mit +$w(x) = e^{-x}$ und $f(x) = x^{z - 1}$. +% $f(x)=x^{z-1}$ +% \begin{align*} +% \int_0^\infty x^{z-1} e^{-x} \, dx +% = +% \int_0^\infty f(x) w(x) \, dx +% \quad +% \text{mit } +% w(x) +% = +% e^{-x} +% \text{ und } +% f(x) = x^{z - 1} +% . +% \end{align*} \end{enumerate} Die erste Variante wäre optimal auf das Problem angepasst, allerdings müssten die Gewichte und Nullstellen für jedes $z$ neu berechnet werden, da sie per Definition von $z$ abhängen. Dazu kommt, -dass die Berechnung der Gewichte $A_i$ nach \cite{laguerre:Cassity1965AbcissasCA} +dass die Berechnung der Gewichte $A_i$ nach +\cite{laguerre:Cassity1965AbcissasCA} \begin{align*} A_i = @@ -113,7 +179,7 @@ ergibt sich \sum_{i=1}^n x_i^{z-1} A_i. \label{laguerre:naive_lag} \end{align} - +% \begin{figure} \centering % \input{papers/laguerre/images/rel_error_simple.pgf} @@ -123,7 +189,7 @@ ergibt sich für verschiedene reele Werte von $z$ und Grade $n$ der Laguerre-Polynome} \label{laguerre:fig:rel_error_simple} \end{figure} - +% Bevor wir die Gauss-Laguerre-Quadratur anwenden, möchten wir als ersten Schritt eine Fehlerabschätzung durchführen. Für den Fehlerterm \eqref{laguerre:lag_error} wird die $2n$-te Ableitung @@ -146,7 +212,7 @@ R_n , \label{laguerre:gamma_err_simple} \end{align} -wobei $\xi$ ein geeigneter Wert im Interval $(0, \infty)$ ist +wobei $\xi$ ein geeigneter Wert im Intervall $(0, \infty)$ ist und $n$ der Grad des verwendeten Laguerre-Polynoms. Eine Fehlerabschätzung mit dem Fehlerterm stellt sich als unnütz heraus, da $R_n$ für $z < 2n - 1$ bei $\xi \rightarrow 0$ eine Singularität aufweist @@ -169,12 +235,12 @@ exakt ist für zu integrierende Polynome mit Grad $\leq 2n-1$ und hinzukommt, dass zudem von $z$ noch $1$ abgezogen wird im Exponenten. Es ist ersichtlich, -dass sich für den Polynomgrad $n$ ein Interval gibt, +dass sich für den Polynomgrad $n$ ein Intervall gibt, in dem der relative Fehler minimal ist. Links steigt der relative Fehler besonders stark an, während er auf der rechten Seite zu konvergieren scheint. Um die linke Hälfte in den Griff zu bekommen, -könnten wir die Reflektionsformel der Gamma-Funktion ausnutzen. +könnten wir die Reflektionsformel der Gamma-Funktion verwenden. \begin{figure} \centering @@ -204,8 +270,8 @@ das Problem in den Griff zu bekommen. Wie wir im vorherigen Abschnitt gesehen haben, scheint der Integrand problematisch. Darum möchten wir jetzt den Integranden analysieren, -um ihn besser verstehen zu können und -dadurch geeignete Gegenmassnahmen zu entwickeln. +damit wir ihn besser verstehen und +dadurch geeignete Gegenmassnahmen zu entwickeln können. % Dieser Abschnitt soll eine grafisches Verständnis dafür schaffen, % wieso der Integrand so problematisch ist. @@ -263,7 +329,7 @@ grösser als $0$ und kleiner als $2n-1$ ist. \subsubsection{Ansatz mit Verschiebungsterm} % Mittels der Funktionalgleichung \eqref{laguerre:gamma_funktional} -% kann der Wert von $\Gamma(z)$ im Interval $z \in [a,a+1]$, +% kann der Wert von $\Gamma(z)$ im Intervall $z \in [a,a+1]$, % in dem der relative Fehler minimal ist, % evaluiert werden und dann mit der Funktionalgleichung zurückverschoben werden. Nun stellt sich die Frage, @@ -322,28 +388,15 @@ s(z, m) \cdot (z - 2n)_{2n} \frac{(n!)^2}{(2n)!} \xi^{z + m - 2n - 1} \label{laguerre:gamma_err_shifted} . \end{align} - +% \begin{figure} \centering \includegraphics{papers/laguerre/images/targets.pdf} % %\vspace{-12pt} -\caption{$a$ in Abhängigkeit von $z$ und $n$} +\caption{$m^*$ in Abhängigkeit von $z$ und $n$} \label{laguerre:fig:targets} \end{figure} -% wobei ist -% mit $z^*(n) \in \mathbb{R}$ wollen wir finden, -% in dem wir den Fehlerterm \eqref{laguerre:lag_error} anpassen -% und in einem nächsten Schritt minimieren. -% Zudem nehmen wir an, -% dass $z < z^*(n)$ ist. -% Wir fügen einen Verschiebungsterm um $m \in \mathbb{N}$ Stellen ein, -% daraus folgt -% -% Damit wir den idealen Verschiebungsterm $m^*$ finden können, -% müssen wir mittels des Fehlerterms \eqref{laguerre:gamma_err_shifted} -% ein Optimierungsproblem % -% Das Optimierungsproblem daraus lässt sich als Daraus formulieren wir das Optimierungproblem \begin{align*} m^* @@ -361,8 +414,8 @@ nur wirklich praktisch sinnvoll für kleine $n$ ist, können die Intervalle $[a(n), a(n)+1]$ empirisch gesucht werden. Wir bestimmen nun die optimalen Verschiebungsterme empirisch -für $n = 2,\ldots, 12$ im Intervall $z \in (0, 1)$, -da $z$ sowieso um den Term $m$ verschoben wird, +für $n = 1,\ldots, 12$ im Intervall $z \in (0, 1)$, +da $z$ sowieso mit den Term $m$ verschoben wird, reicht die $m^*$ nur in diesem Intervall zu analysieren. In Abbildung~\ref{laguerre:fig:targets} sind die empirisch bestimmten $m^*$ abhängig von $z$ und $n$ dargestellt. @@ -382,7 +435,7 @@ Den linearen Regressor = \alpha n + \beta \end{align*} -machen wir nur abhängig von $n$ +machen wir nur abhängig von $n$, in dem wir den Mittelwert $\overline{m}$ von $m^*$ über $z$ berechnen. \begin{figure} @@ -395,8 +448,8 @@ in dem wir den Mittelwert $\overline{m}$ von $m^*$ über $z$ berechnen. \end{figure} In Abbildung~\ref{laguerre:fig:schaetzung} sind die Resultate -der linearen Regression aufgezeigt mit $\alpha = 1.34094$ und $\beta = -0.854093$. +der linearen Regression aufgezeigt mit $\alpha = 1.34154$ und $\beta = +0.848786$. Die lineare Beziehung ist ganz klar ersichtlich und der Fit scheint zu genügen. Der optimale Verschiebungsterm kann nun mit \begin{align*} @@ -413,8 +466,8 @@ gefunden werden. In einem ersten Schritt möchten wir analysieren, wie gut die Abschätzung des optimalen Verschiebungsterms ist. Dazu bestimmen wir den relativen Fehler für verschiedene Verschiebungsterme $m$ -rund um $m^*$ bei gegebenem Polynomgrad $n = 8$ für $z \in (0, 1)$. -Abbildung~\ref{laguerre:fig:rel_error_shifted} sind die relativen Fehler +in der Nähe von $m^*$ bei gegebenem Polynomgrad $n = 8$ für $z \in (0, 1)$. +In Abbildung~\ref{laguerre:fig:rel_error_shifted} sind die relativen Fehler der Approximation dargestellt. Man kann deutlich sehen, dass der relative Fehler anwächst, @@ -512,21 +565,36 @@ H_k(z) \frac{(-1)^k (-z)_k}{(z+1)_k} \end{align*} mit $H_0 = 1$ und $\sum_0^n g_k = 1$ (siehe \cite{laguerre:lanczos}). -Diese Methode wurde zum Beispiel in -{\em GNU Scientific Library}, {\em Boost}, {\em CPython} und +Diese Methode wurde zum Beispiel in +{\em GNU Scientific Library}, {\em Boost}, {\em CPython} und {\em musl} implementiert. -Diese Methode erreicht für $n = 7$ typischerweise Genauigkeit von $13$ +Diese Methode erreicht für $n = 7$ typischerweise eine Genauigkeit von $13$ korrekten, signifikanten Stellen für reele Argumente. -Zum Vergleich: die vorgestellte Methode erreicht für $n = 7$ -eine minimale Genauigkeit von $6$ korrekten, signifikanten Stellen +Zum Vergleich: die vorgestellte Methode erreicht für $n = 7$ +eine minimale Genauigkeit von $6$ korrekten, signifikanten Stellen für reele Argumente. -Das Resultat ist etwas enttäuschend, -aber nicht unerwartet, -da die Lanczos-Methode spezifisch auf dieses Problem zugeschnitten ist und + +\subsubsection{Fazit} +% Das Resultat ist etwas enttäuschend, +Die Genauigkeit der vorgestellten Methode schneidet somit schlechter ab, +als die Lanczos-Methode. +Dieser Erkenntnis kommt nicht ganz unerwartet, +% aber nicht unerwartet, +da die Lanczos-Methode spezifisch auf dieses Problem zugeschnitten ist und unsere Methode eine erweiterte allgemeine Methode ist. -Was die Komplexität der Berechnungen im Betrieb angeht, -ist die Gauss-Laguerre-Quadratur wesentlich ressourcensparender, -weil sie nur aus $n$ Funktionsevaluationen, -wenigen Multiplikationen und Additionen besteht. +Allerdings besticht die vorgestellte Methode +durch ihre stark reduzierte Komplexität. % und Rechenaufwand. +% Was die Komplexität der Berechnungen im Betrieb angeht, +% ist die Gauss-Laguerre-Quadratur wesentlich ressourcensparender, +% weil sie nur aus $n$ Funktionsevaluationen, +% wenigen Multiplikationen und Additionen besteht. +Was den Rechenaufwand angeht, +benötigt die vorgestellte Methode, +für eine Genauigkeit von $n-1$ signifikanten Stellen, +nur $n$ Funktionsevaluationen +und wenige zusätzliche Multiplikationen und Additionen. Demzufolge könnte diese Methode Anwendung in Systemen mit wenig Rechenleistung -und/oder knappen Energieressourcen finden. \ No newline at end of file +und/oder knappen Energieressourcen finden. +Die vorgestellte Methode ist ein weiteres Beispiel dafür, +wie Verfahren durch die Kenntnis der Eigenschaften einer Funktion +verbessert werden können. \ No newline at end of file diff --git a/buch/papers/laguerre/images/estimates.pdf b/buch/papers/laguerre/images/estimates.pdf index bd995de..fe48f47 100644 Binary files a/buch/papers/laguerre/images/estimates.pdf and b/buch/papers/laguerre/images/estimates.pdf differ diff --git a/buch/papers/laguerre/images/laguerre_poly.pdf b/buch/papers/laguerre/images/laguerre_poly.pdf index 21278f5..f31d81d 100644 Binary files a/buch/papers/laguerre/images/laguerre_poly.pdf and b/buch/papers/laguerre/images/laguerre_poly.pdf differ diff --git a/buch/papers/laguerre/images/rel_error_simple.pdf b/buch/papers/laguerre/images/rel_error_simple.pdf index 3212e42..0072d28 100644 Binary files a/buch/papers/laguerre/images/rel_error_simple.pdf and b/buch/papers/laguerre/images/rel_error_simple.pdf differ diff --git a/buch/papers/laguerre/images/targets.pdf b/buch/papers/laguerre/images/targets.pdf index 9514a6d..dc61c88 100644 Binary files a/buch/papers/laguerre/images/targets.pdf and b/buch/papers/laguerre/images/targets.pdf differ diff --git a/buch/papers/laguerre/main.tex b/buch/papers/laguerre/main.tex index 57a6560..91c1475 100644 --- a/buch/papers/laguerre/main.tex +++ b/buch/papers/laguerre/main.tex @@ -9,7 +9,7 @@ \chapterauthor{Patrik Müller} {\parindent0pt Die} Laguerre\--Polynome, -benannt nach Edmond Laguerre (1834 - 1886), +benannt nach Edmond Laguerre (1834 -- 1886), sind Lösungen der ebenfalls nach Laguerre benannten Differentialgleichung. Laguerre entdeckte diese Polynome, als er Approximations\-methoden für das Integral diff --git a/buch/papers/laguerre/presentation/presentation.pdf b/buch/papers/laguerre/presentation/presentation.pdf deleted file mode 100644 index 3d00de3..0000000 Binary files a/buch/papers/laguerre/presentation/presentation.pdf and /dev/null differ diff --git a/buch/papers/laguerre/presentation/sections/gamma_approx.tex b/buch/papers/laguerre/presentation/sections/gamma_approx.tex index ecd02ab..811fbfa 100644 --- a/buch/papers/laguerre/presentation/sections/gamma_approx.tex +++ b/buch/papers/laguerre/presentation/sections/gamma_approx.tex @@ -163,7 +163,7 @@ da Gauss-Quadratur nur für kleine $n$ praktischen Nutzen hat} \alpha n + \beta \\ &\approx -1.34093 n + 0.854093 +1.34154 n + 0.848786 \\ m^* &= diff --git a/buch/papers/laguerre/quadratur.tex b/buch/papers/laguerre/quadratur.tex index a494362..841bc20 100644 --- a/buch/papers/laguerre/quadratur.tex +++ b/buch/papers/laguerre/quadratur.tex @@ -3,20 +3,21 @@ % % (c) 2022 Patrik Müller, Ostschweizer Fachhochschule % -\section{Gauss-Quadratur +\section{Gauss-Quadratur% \label{laguerre:section:quadratur}} +\rhead{Gauss-Quadratur}% Die Gauss-Quadratur ist ein numerisches Integrationsverfahren, welches die Eigenschaften von orthogonalen Polynomen verwendet. -Herleitungen und Analysen der Gauss-Quadratur können im +Herleitungen und Analysen der Gauss-Quadratur können im Abschnitt~\ref{buch:orthogonal:section:gauss-quadratur} gefunden werden. Als grundlegende Idee wird die Beobachtung, dass viele Funktionen sich gut mit Polynomen approximieren lassen, verwendet. Stellt man also sicher, -dass ein Verfahren gut für Polynome funktioniert, +dass ein Verfahren gut für Polynome funktioniert, sollte es auch für andere Funktionen angemessene Resultate liefern. -Es wird ein Polynom verwendet, -welches an den Punkten $x_0 < x_1 < \ldots < x_n$ +Es wird ein Polynom verwendet, +welches an den Punkten $x_0 < x_1 < \ldots < x_n$ die Funktionwerte~$f(x_i)$ annimmt. Als Resultat kann das Integral via einer gewichteten Summe der Form \begin{align} @@ -29,25 +30,35 @@ berechnet werden. Die Gauss-Quadratur ist exakt für Polynome mit Grad $2n -1$, wenn ein Interpolationspolynom von Grad $n$ gewählt wurde. -\subsection{Gauss-Laguerre-Quadratur +\subsection{Gauss-Laguerre-Quadratur% \label{laguerre:subsection:gausslag-quadratur}} Wir möchten nun die Gauss-Quadratur auf die Berechnung von uneigentlichen Integralen erweitern, -spezifisch auf das Interval $(0, \infty)$. +spezifisch auf das Intervall~$(0, \infty)$. Mit dem vorher beschriebenen Verfahren ist dies nicht direkt möglich. -Mit einer Transformation die das unendliche Intervall $(a, \infty)$ mit -\begin{align*} -x -= -a + \frac{1 - t}{t} -\end{align*} -auf das Intervall $[0, 1]$ transformiert, -kann dies behoben werden. -Für unseren Fall gilt $a = 0$. +% Mit einer Transformation +% \begin{align*} +% x +% = +% % a + +% \frac{1 - t}{t} +% \end{align*} +% die das unendliche Intervall~$(0, \infty)$ +% auf das Intervall~$[0, 1]$ transformiert, +% kann dies behoben werden. +% % Für unseren Fall gilt $a = 0$. Das Integral eines Polynomes in diesem Intervall ist immer divergent. -Darum müssen wir das Polynom mit einer Funktion multiplizieren, -die schneller als jedes Polynom gegen $0$ geht, -damit das Integral immer noch konvergiert. +Es ist also nötig, +den Integranden durch Funktionen zu approximieren, +die genügend schnell gegen $0$ gehen. +Man kann Polynome beliebigen Grades verwenden, +wenn sie mit einer Funktion multipliziert werden, +die schneller gegen $0$ geht als jedes Polynom. +Damit stellen wir sicher, +dass das Integral immer noch konvergiert. +% Darum müssen wir das Polynom mit einer Funktion multiplizieren, +% die schneller als jedes Polynom gegen $0$ geht, +% damit das Integral immer noch konvergiert. Die Laguerre-Polynome $L_n$ schaffen hier Abhilfe, da ihre Gewichtsfunktion $w(x) = e^{-x}$ schneller gegen $0$ konvergiert als jedes Polynom. @@ -55,20 +66,32 @@ gegen $0$ konvergiert als jedes Polynom. % $L_n$ ausweiten. % Diese sind orthogonal im Intervall $(0, \infty)$ bezüglich % der Gewichtsfunktion $e^{-x}$. -Die Gleichung~\eqref{laguerre:gaussquadratur} lässt sich wie folgt -umformulieren: +Um also das Integral einer Funktion $g(x)$ im Intervall~$(0,\infty)$ zu berechen, +formt man das Integral wie folgt um: +\begin{align*} +\int_0^\infty g(x) \, dx += +\int_0^\infty f(x) e^{-x} \, dx +\end{align*} +Wir approximieren dann $f(x)$ durch ein Interpolationspolynom +wie bei der Gauss-Quadratur. +% Die Gleichung~\eqref{laguerre:gaussquadratur} lässt sich daher wie folgt +% umformulieren: +Die Gleichung~\eqref{laguerre:gaussquadratur} wird also +für die Gauss-Laguerre-Quadratur zu \begin{align} \int_{0}^{\infty} f(x) e^{-x} dx \approx \sum_{i=1}^{n} f(x_i) A_i \label{laguerre:laguerrequadratur} +. \end{align} \subsubsection{Stützstellen und Gewichte} Nach der Definition der Gauss-Quadratur müssen als Stützstellen die Nullstellen des verwendeten Polynoms genommen werden. Für das Laguerre-Polynom $L_n$ müssen demnach dessen Nullstellen $x_i$ und -als Gewichte $A_i$ die Integrale $l_i(x)e^{-x}$ verwendet werden. +als Gewichte $A_i$ die Integrale von $l_i(x) e^{-x}$ verwendet werden. Dabei sind \begin{align*} l_i(x_j) @@ -76,7 +99,7 @@ l_i(x_j) \delta_{ij} = \begin{cases} -1 & i=j \\ +1 & i=j \\ 0 & \text{sonst} \end{cases} % . @@ -97,6 +120,7 @@ des orthogonalen Polynoms $\phi_n(x)$, $\forall i =0,\ldots,n$ und \int_0^\infty w(x) \phi_n^2(x)\,dx \end{align*} dem Normalisierungsfaktor. + Wir setzen nun $\phi_n(x) = L_n(x)$ und nutzen den Vorzeichenwechsel der Laguerre-Koeffizienten aus, damit erhalten wir @@ -122,39 +146,41 @@ Für Laguerre-Polynome gilt Daraus folgt \begin{align} A_i -&= + & = - \frac{1}{n L_{n-1}(x_i) L'_n(x_i)} -. \label{laguerre:gewichte_lag_temp} +. \end{align} Nun kann die Rekursionseigenschaft der Laguerre-Polynome +\cite{laguerre:hildebrand2013introduction} +% (siehe \cite{laguerre:hildebrand2013introduction}) \begin{align*} -x L'_n(x) -&= +x L'_n(x) + & = n L_n(x) - n L_{n-1}(x) \\ -&= (x - n - 1) L_n(x) + (n + 1) L_{n+1}(x) + & = (x - n - 1) L_n(x) + (n + 1) L_{n+1}(x) \end{align*} umgeformt werden und da $x_i$ die Nullstellen von $L_n(x)$ sind, -vereinfacht sich der Term zu +vereinfacht sich die Gleichung zu \begin{align*} x_i L'_n(x_i) -&= -- n L_{n-1}(x_i) + & = +- n L_{n-1}(x_i) \\ -&= - (n + 1) L_{n+1}(x_i) + & = +(n + 1) L_{n+1}(x_i) . \end{align*} -Setzen wir das nun in \eqref{laguerre:gewichte_lag_temp} ein, +Setzen wir diese Beziehung nun in \eqref{laguerre:gewichte_lag_temp} ein, ergibt sich \begin{align} \nonumber A_i -&= + & = \frac{1}{x_i \left[ L'_n(x_i) \right]^2} \\ -&= + & = \frac{x_i}{(n+1)^2 \left[ L_{n+1}(x_i) \right]^2} . \label{laguerre:quadratur_gewichte} diff --git a/buch/papers/laguerre/references.bib b/buch/papers/laguerre/references.bib index d21009b..1a4a903 100644 --- a/buch/papers/laguerre/references.bib +++ b/buch/papers/laguerre/references.bib @@ -10,15 +10,13 @@ series={Dover Books on Mathematics}, year={2013}, publisher={Dover Publications}, - pages = {389} + pages = {389-392} } @book{laguerre:abramowitz+stegun, added-at = {2008-06-25T06:25:58.000+0200}, address = {New York}, author = {Abramowitz, Milton and Stegun, Irene A.}, - biburl = {https://www.bibsonomy.org/bibtex/223ec744709b3a776a1af0a3fd65cd09f/a_olympia}, - description = {BibTeX - Wikipedia, the free encyclopedia}, edition = {ninth Dover printing, tenth GPO printing}, interhash = {d4914a420f489f7c5129ed01ec3cf80c}, intrahash = {23ec744709b3a776a1af0a3fd65cd09f}, diff --git a/buch/papers/laguerre/scripts/estimates.py b/buch/papers/laguerre/scripts/estimates.py index 21551f3..1acd7f7 100644 --- a/buch/papers/laguerre/scripts/estimates.py +++ b/buch/papers/laguerre/scripts/estimates.py @@ -15,7 +15,7 @@ if __name__ == "__main__": ) N = 200 - ns = np.arange(2, 13) + ns = np.arange(1, 13) step = 1 / (N - 1) x = np.linspace(step, 1 - step, N + 1) diff --git a/buch/papers/laguerre/scripts/laguerre_poly.py b/buch/papers/laguerre/scripts/laguerre_poly.py index 9700ab4..05db5d3 100644 --- a/buch/papers/laguerre/scripts/laguerre_poly.py +++ b/buch/papers/laguerre/scripts/laguerre_poly.py @@ -46,7 +46,7 @@ if __name__ == "__main__": ax.set_yticks(get_ticks(-ylim, ylim), minor=True) ax.set_yticks(get_ticks(-step * (ylim // step), ylim, step)) ax.set_ylim(-ylim, ylim) - ax.set_ylabel(r"$y$", y=0.95, labelpad=-18, rotation=0, fontsize="large") + ax.set_ylabel(r"$y$", y=0.95, labelpad=-14, rotation=0, fontsize="large") ax.legend(ncol=2, loc=(0.125, 0.01), fontsize="large") diff --git a/buch/papers/laguerre/scripts/rel_error_simple.py b/buch/papers/laguerre/scripts/rel_error_simple.py index 686500b..e1ea36a 100644 --- a/buch/papers/laguerre/scripts/rel_error_simple.py +++ b/buch/papers/laguerre/scripts/rel_error_simple.py @@ -18,7 +18,7 @@ if __name__ == "__main__": # Simple / naive xmin = -5 - xmax = 30 + xmax = 25 ns = np.arange(2, 12, 2) ylim = np.array([-11, 6]) x = np.linspace(xmin + ga.EPSILON, xmax - ga.EPSILON, 400) diff --git a/buch/papers/laguerre/scripts/targets.py b/buch/papers/laguerre/scripts/targets.py index 3bc7f52..69f94ba 100644 --- a/buch/papers/laguerre/scripts/targets.py +++ b/buch/papers/laguerre/scripts/targets.py @@ -38,7 +38,7 @@ if __name__ == "__main__": ) N = 200 - ns = np.arange(2, 13) + ns = np.arange(1, 13) bests = find_best_loc(N, ns=ns) -- cgit v1.2.1 From 92f8c87eec2b11e6900c09c252bea77cb35f4f25 Mon Sep 17 00:00:00 2001 From: daHugen Date: Sat, 23 Jul 2022 18:12:37 +0200 Subject: made some changes, now the document is ready for a second pull-request --- buch/papers/lambertw/teil4.tex | 167 +++++++++++++++++++++++++---------------- 1 file changed, 104 insertions(+), 63 deletions(-) (limited to 'buch/papers') diff --git a/buch/papers/lambertw/teil4.tex b/buch/papers/lambertw/teil4.tex index 78314a1..fe7ed49 100644 --- a/buch/papers/lambertw/teil4.tex +++ b/buch/papers/lambertw/teil4.tex @@ -136,7 +136,7 @@ Um das Integral los zu werden, leitet man den vorherigen Ausdruck \eqref{lambert &= 0. \label{lambertw:DGLohneInt} \end{align} -Nun sind wir unserem Ziel eine weiteren Schritt näher. Die Gleichung \eqref{lambertw:DGLohneInt} mag auf den ersten Blick nicht gerade einfach sein, aber im Nächsten Abschnitt werden wir sehen, dass sie relativ einfach zu lösen ist. +Nun sind wir unserem Ziel einen weiteren Schritt näher. Die Gleichung \eqref{lambertw:DGLohneInt} mag auf den ersten Blick nicht gerade einfach sein, aber im Nächsten Abschnitt werden wir sehen, dass sie relativ einfach zu lösen ist. \subsection{DGL lösen \label{lambertw:subsection:DGLloes}} @@ -147,7 +147,7 @@ mittels der Substitution \(y^{\prime} = u\) in eine DGL erster Ordnung umgewande = 0. \label{lambertw:DGLmitU} \end{equation} -Diese \eqref{lambertw:DGLmitU} zu lösen ist ziemlich einfach da sie separierbar ist, also werde ich direkt zur Lösung \eqref{lambertw:loesDGLmitU} übergehen: +Diese \eqref{lambertw:DGLmitU} zu lösen ist ziemlich einfach da sie separierbar ist, aus diesem Grund werde ich direkt zur Lösung \eqref{lambertw:loesDGLmitU} übergehen: \begin{align} \operatorname{arsinh}(u) &= @@ -157,7 +157,7 @@ Diese \eqref{lambertw:DGLmitU} zu lösen ist ziemlich einfach da sie separierbar \operatorname{sinh}(\operatorname{ln}(x) + C). \label{lambertw:loesDGLmitU} \end{align} -Indem man die Substitution rückgängig macht, erhält man eine weitere DGL erster Ordnung die bereits separiert ist und erhält folgende Lösung: +Indem man die Substitution rückgängig macht, erhält man eine weitere DGL erster Ordnung die bereits separiert ist und erhält folgende Gleichung: \begin{equation} y^{\prime} = @@ -205,10 +205,9 @@ Für die Koeffizienten \(C_1\) und \(C_2\) ergibt sich ein Anfangswertproblem, w \end{itemize} Alle diese Eigenschafte stimmen mit dem überein, was man von einer Kurve dieser Art erwarten würde, welche durch die Grafik \ref{lambertw:BildFunkLoes} repräsentiert wurde. Nun stellt sich die Frage wie die Kurve wirklich aussieht. Dies wird im folgenden Abschnitt \ref{lambertw:subsection:AllgLoes} behandelt. --------------------------------Ab hier muss im Kapitel 12.2 noch einiges bearbeitet werden----------------- \subsection{Anfangswertproblem \label{lambertw:subsection:AllgLoes}} -Wie üblich bei der Suche nach einer exakten Lösung, kommt ein Anfangswertproblem auf. Um dies zu lösen, müssen wir zuerst die Anfangswerte definieren. Da wir hier das Problem allgemein lösen, ergeben sich folgende zwei Anfangswerte: +Wie üblich bei der Suche nach einer exakten Lösung, kommt ein Anfangswertproblem vor. Um dieses zu lösen, müssen wir zuerst die Anfangswerte definieren. Da wir das Problem allgemein lösen wollen, ergeben sich folgende zwei Anfangswerte: \begin{equation} y(x)\big \vert_{t=0} = @@ -226,9 +225,9 @@ und \frac{y_0}{x_0}. \label{lambertw:eq2Anfangswert} \end{equation} -Der zweite Anfangswert \eqref{lambertw:eq2Anfangswert} mag nicht grade offensichtlich sein. Die Erklärung dafür ist aber simpel: Der Verfolger wird zum Zeitpunkt \(t=0\) in Richtung Koordinatenursprung bewegen wollen, wo sich das Ziel befindet. Somit entsteht das Steigungsdreieck \(\Delta x = x_0\) und \(\Delta y = y_0\). +Der zweite Anfangswert \eqref{lambertw:eq2Anfangswert} mag nicht grade offensichtlich sein. Die Erklärung dafür ist aber simpel: Der Verfolger wird sich zum Zeitpunkt \(t=0\) in Richtung Koordinatenursprung bewegen wollen, wo sich das Ziel befindet. Somit entsteht das Steigungsdreieck mit \(\Delta x = x_0\) und \(\Delta y = y_0\). -Das Lösen des Anfangswertproblems ist ein Problem aus der Algebra, auf welches ich nicht unbedingt eingehen möchte. Zur Vollständigkeit und Nachvollziehbarkeit werde ich aber das Gleichungssystem \eqref{lambertw:eqGleichungssystem} präsentieren, welches notwendig ist um das Anfangswertproblem zu lösen, sowie auch die allgemeine Lösung \eqref{lambertw:eqAllgLoes} die sich nach dem einsetzen der Koeffizienten \(C_1\) und \(C_2\) ergibt. +Das Lösen des Anfangswertproblems ist ein Problem aus der Algebra, auf welches ich nicht unbedingt eingehen möchte. Zur Vollständigkeit und Nachvollziehbarkeit, werde ich aber das Gleichungssystem \eqref{lambertw:eqGleichungssystem} präsentieren, welches notwendig ist um das Anfangswertproblem zu lösen, sowie auch die allgemeine Lösung \eqref{lambertw:eqAllgLoes} die sich nach dem einsetzen der Koeffizienten \(C_1\) und \(C_2\) in die Funktion \eqref{lambertw:funkLoes} ergibt. \begin{itemize} \item @@ -245,83 +244,125 @@ Das Lösen des Anfangswertproblems ist ein Problem aus der Algebra, auf welches \label{lambertw:eqGleichungssystem} \end{subequations} \item - Allgemeine Funktion: + Die allgemeine Funktion: \begin{equation} - -4t + y(x) = - \left(y_0+r_0\right)\left(\eta-1\right)+\left(r_0-y_0\right)ln\left(\eta\right). + \frac{1}{4}\left(\left(y_0+r_0\right)\eta+\left(r_0-y_0\right)\operatorname{ln}\left(\eta\right)-r_0+3y_0\right) \label{lambertw:eqAllgLoes} \end{equation} - Wobei aus Übersichtlichkeitsgründen \(\eta\) und \(r_0\) wie folgt definiert wurden: + Damit die Funkion \eqref{lambertw:eqAllgLoes} trotzdem noch übersichtlich bleibt, wurden \(\eta\) und \(r_0\) wie folgt definiert: \begin{equation} \eta = - \left(\frac{x}{x_0}\right)^2 + \left(\frac{x}{x_0}\right)^2 \:\:\text{und}\:\: r_0 = \sqrt{x_0^2+y_0^2}. \end{equation} \end{itemize} +Diese neue allgemein Funktion \eqref{lambertw:eqAllgLoes} weist immer noch die selbe Struktur wie die vorherig hergeleitete Funktion \eqref{lambertw:funkLoes} auf, einerseits einen quadratischen Teil der in \(\eta\) enthalten ist, anderseits den \(\operatorname{ln}\)-Teil. Aus dieser Ähnlichkeit kann geschlossen werden, dass sich \eqref{lambertw:eqAllgLoes} auf eine ähnliche Art verhalten wird. - - -Leitet man die Funktion \eqref{lambertw:funkLoes} nach \(x\) ab und setzt die Anfangsbedingungen ein, dann ergibt sich folgendes Gleichungssystem: - -... Mit folgenden Formeln geht es weiter: -\begin{align*} - \eta - &= - \left(\frac{x}{x_0}\right)^2 - \:;\: - r_0 - = - \sqrt{x_0^2+y_0^2} \\ - y - &= - \frac{1}{4}\left(\left(y_0+r_0\right)\eta+\left(r_0-y_0\right)ln\left(\eta\right)-r_0+3y_0\right) \\ - y^\prime - &= - \frac{1}{2}\left(\left(y_0+r_0\right)\frac{x}{x_0^2}+\left(r_0-y_0\right)\frac{1}{x}\right) \\ - -4t - &= - \left(y_0+r_0\right)\left(\eta-1\right)+\left(r_0-y_0\right)ln\left(\eta\right) -\end{align*} +Nun sind wir soweit, dass wir eine \(y(x)\)-Beziehung für beliebige Anfangswerte darstellen können, unser erstes Ziel wurde erreicht. Ist das alles? Nein, wir können einen Schritt weiter gehen und uns Fragen: Ist es analytisch möglich herauszufinden, wo sich Verfolger und Ziel zu jedem Zeitpunkt befinden? Dieser Frage werden wir im nächsten Abschnitt nachgehen. \subsection{Funktion nach der Zeit \label{lambertw:subsection:FunkNachT}} -\begin{align*} +Lieber Leser sei mir nicht böse, aber in diesem Abschnitt werde ich ein wenig mehr bei den algebraischen Umformungen ins Detail gehen. Dies hat auch einen bestimmten Grund, ich möchte den Einsatz einer speziellen Funktion aufzeigen, sowie auch wann und wieso diese vorkommt. Welche spezielle Funktion? Fragst du dich wahrscheinlich in diesem Moment. Nun, um diese Frage zu kurz zu beantworten, es ist "YouTube's favorite special function" laut dem Mathematiker Michael Penn, die Lambert-W-Funktion \(W(x)\) welche übrigens im Kapitel \ref{buch:section:lambertw} bereits beschrieben wurde. + +Also fangen wir an. Der erste Schritt ist es herauszufinden, wie die Zeitabhängigkeit wieder hinein gebracht werden kann. Dafür greifen wir auf die letzte Gleichung zu, in welcher \(t\) noch enthalten war, und zwar DGL \eqref{lambertw:DGLmitT}, welche zur Übersichtlichkeit hier nochmals aufgeführt wird: +\begin{equation} + x y^{\prime} + t - y + = 0. + \label{lambertw:eqDGLmitTnochmals} +\end{equation} +Wie in \eqref{lambertw:eqDGLmitTnochmals} zu sehen ist, werden \(y\) und deren Ableitung \(y^{\prime}\) benötigt, diese sind: +\begin{subequations} + \begin{align} + y + &= + \frac{1}{4}\left(\left(y_0+r_0\right)\eta+\left(r_0-y_0\right)\operatorname{ln}\left(\eta\right)-r_0+3y_0\right), \\ + \label{lambertw:eqFunkUndAbleit1} + y^\prime + &= + \frac{1}{2}\left(\left(y_0+r_0\right)\frac{x}{x_0^2}+\left(r_0-y_0\right)\frac{1}{x}\right). + \end{align} + \label{lambertw:eqFunkUndAbleit} +\end{subequations} +Wenn man diese Gleichungen \ref{lambertw:eqFunkUndAbleit} in die DGL \label{lambertw:eqDGLmitTnochmals} einfügt, vereinfacht und nach \(t\) auflöst, dann ergibt sich folgenden Ausdruck: +\begin{equation} + -4t + = + \left(y_0+r_0\right)\left(\eta-1\right)+\left(r_0-y_0\right)\operatorname{ln}\left(\eta\right). + \label{lambertw:eqFunkUndAbleitEingefuegt} +\end{equation} +In einem nächsten Schritt wird alles mit \(x\) auf die eine Seite gebracht, der Rest auf die andere Seite und anschliessend beidseitig exponentiert, was wie folgt aussieht: +\begin{align} -4t+\left(y_0+r_0\right) &= - \left(y_0+r_0\right)\eta+\left(r_0-y_0\right)ln\left(\eta\right) \\ - e^{-4t+\left(y_0+r_0\right)} + \left(y_0+r_0\right)\eta+\left(r_0-y_0\right)\operatorname{ln}\left(\eta\right), \\ + e^{\displaystyle -4t+\left(y_0+r_0\right)} &= - e^{\left(y_0+r_0\right)\eta}\cdot\eta^{\left(r_0-y_0\right)} \\ - e^{\frac{-4t}{r_0-y_0}+\frac{y_0+r_0}{r_0-y_0}} - &= - e^{\frac{y_0+r_0}{r_0-y_0}\eta}\cdot\eta\ \\ + e^{\displaystyle \left(y_0+r_0\right)\eta}\cdot\eta^{\displaystyle \left(r_0-y_0\right)}. + \label{lambertw:eqMitExp} +\end{align} +Auf dem rechten Term von \eqref{lambertw:eqMitExp} beginnen wir langsam eine ähnliche Struktur wie \(\eta e^\eta\) zu erkennen, dies schreit nach der Struktur die benötigt wird um \(\eta\) mittels der Lambert-W-Funktion \(W(x)\) zu erhalten. Dies macht durchaus Sinn, wenn wir die Funktion \(x(t)\) finden wollen und \(W(x)\) die Umkehrfunktion von \(x e^x\) ist. + +Die erste Sache die uns in \eqref{lambertw:eqMitExp} stört ist, dass \(\eta\) als Potenz da steht. Dieses Problem können wir loswerden, indem wir beidseitig mit \(\:\displaystyle \frac{1}{r_0-y_0}\:\) potenzieren: +\begin{equation} + e^{\displaystyle \frac{-4t}{r_0-y_0}+\frac{y_0+r_0}{r_0-y_0}} + = + \eta\cdot e^{\displaystyle \frac{y_0+r_0}{r_0-y_0}\eta} . + \label{lambertw:eqOhnePotenz} +\end{equation} +Das nächste Problem auf welches wir in \eqref{lambertw:eqOhnePotenz} treffen ist, dass \(\eta\) nicht alleine im Exponent steht. Dies kann elegant mit folgender Substitution gelöst werden: +\begin{equation} \chi - &= - \frac{y_0+r_0}{r_0-y_0}; \cdot\chi \\ - \chi\cdot e^{\chi-\frac{4t}{r_0-y_0}} - &= - \chi\eta\cdot e^{\chi\eta} \\ - W\left(\chi\cdot e^{\chi-\frac{4t}{r_0-y_0}}\right) - &= - \chi\eta \\ - \frac{W\left(\chi\cdot e^{\chi-\frac{4t}{r_0-y_0}}\right)}{\chi} - &= - \eta \\ - \frac{W\left(\chi\cdot e^{\chi-\frac{4t}{r_0-y_0}}\right)}{\chi} - &= - \left(\frac{x}{x_0}\right)^2 \\ - x\left(t\right) - &= - \sqrt{\frac{W\left(\chi\cdot e^{\chi-\frac{4t}{r_0-y_0}}\right)}{\chi}} -\end{align*} + = + \frac{y_0+r_0}{r_0-y_0}. + \label{lambertw:eqChiSubst} +\end{equation} +Es gäbe natürlich andere Substitutionen wie z.B. +\[\displaystyle \chi=\frac{y_0+r_0}{r_0-y_0}\cdot\eta,\] +die auf das selbe Ergebnis führen würden, aber \eqref{lambertw:eqChiSubst} liefert in einem Schritt die kompakteste Lösung. Also fahren wir mit der Substitution \eqref{lambertw:eqChiSubst} weiter, setzen diese in die Gleichung \eqref{lambertw:eqOhnePotenz} ein und multiplizieren beidseitig mit \(\chi\). Daraus erhalten wir folgende Gleichung: +\begin{equation} + \chi\cdot e^{\displaystyle \chi-\frac{4t}{r_0-y_0}} + = + \chi\eta\cdot e^{\displaystyle \chi\eta}. + \label{lambertw:eqNachSubst} +\end{equation} +Schön oder? Nun sind wir endlich soweit, dass wir die angedeutete Lambert-W-Funktion \(W(x)\)einsetzen können. Wenn wir beidseitig \(W(x)\) anwenden, dann erhalten wir folgenden Ausdruck: \begin{equation} - y(t) + W\left(\chi\cdot e^{\displaystyle \chi-\frac{4t}{r_0-y_0}}\right) = - \frac{1}{4}\left(\left(y_0+r_0\right)\frac{W\left(\chi\cdot e^{\chi\ -\ \frac{4t}{r_0-y_0}}\right)}{\chi}+\left(r_0-y_0\right)\cdot\mathrm{ln}\ \left(\frac{W\left(\chi\cdot e^{\chi\ -\ \frac{4t}{r_0-y_0}}\right)}{\chi}\right)-r_0+3y_0\right) - \label{lambertw:funkNachT} + \chi\eta \end{equation} +Nach dem Auflösen nach \(x\) welches in \(\eta\) enthalten ist, erhalten wir die gesuchte \(x(t)\)-Funktion \eqref{lambertw:eqFunkXNachT}. Dieses \(x(t)\) in Kombination mit \eqref{lambertw:eqFunkUndAbleit1} liefert die Position des Verfolgers zu jedem Zeitpunkt. Das Gleichungspaar \eqref{lambertw:eqFunktionenNachT}, besteht aus folgenden Gleichungen: +\begin{subequations} + \begin{align} + \label{lambertw:eqFunkXNachT} + x(t) + &= + x_0\cdot\sqrt{\frac{W\left(\chi\cdot e^{\displaystyle \chi-\frac{4t}{r_0-y_0}}\right)}{\chi}}, \\ + \label{lambertw:eqFunkYNachT} + y(x(t)) + = + y(t) + &= + \frac{1}{4}\left(\left(y_0+r_0\right)\left(\frac{x(t)}{x_0}\right)^2+\left(r_0-y_0\right)\operatorname{ln}\left(\left(\frac{x(t)}{x_0}\right)^2\right)-r_0+3y_0\right) + \end{align} + \label{lambertw:eqFunktionenNachT} +\end{subequations} +Nun haben wir unser letztes Ziel erreicht und sind in der Lage eine Verfolgung rechnerisch sowie graphisch zu repräsentieren. + +Wir sind aber noch nicht ganz fertig, ich muss gestehen, dass ich in diesem Abschnitt einen wichtigen Teil verschwiegen habe. Und zwar wieso, dass ich schon bei der Gleichung \eqref{lambertw:eqFunkUndAbleitEingefuegt} wusste, dass man nach einigen Umformungen die Lambert-W-Funktion eingesetzt werden kann. +Der Grund dafür ist die Struktur +\begin{equation} + y + = + p(x) +\operatorname{ln}(x), + \label{lambertw:eqEinsatzLambW} +\end{equation} +bei welcher \(p(x)\) eine beliebige Potenz von \(x\) darstellt. + +Jedes mal wenn \(x\) gesucht ist und in einer Struktur der Art \eqref{lambertw:eqEinsatzLambW} vorkommt, dann kann mit ein paar Umformungen die Struktur \(f(x)e^{f(x)}\) erzielt werden. Wie bereits in diesem Abschnitt \ref{lambertw:subsection:FunkNachT} gezeigt wurde, kann \(x\) nun mittels der \(W(x)\)-Funktion aufgelöst werden. Erstaunlicherweise ist \eqref{lambertw:eqEinsatzLambW} eine Struktur die oftmals vorkommt, was die Lambert-W-Funktion so wichtig macht. \ No newline at end of file -- cgit v1.2.1 From 07b8e7dcf04243e04d7bc1e7b92846fb6a26278e Mon Sep 17 00:00:00 2001 From: daHugen Date: Sat, 23 Jul 2022 18:24:01 +0200 Subject: corrected something --- buch/papers/lambertw/teil4.tex | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) (limited to 'buch/papers') diff --git a/buch/papers/lambertw/teil4.tex b/buch/papers/lambertw/teil4.tex index fe7ed49..84a0ec7 100644 --- a/buch/papers/lambertw/teil4.tex +++ b/buch/papers/lambertw/teil4.tex @@ -335,7 +335,7 @@ Schön oder? Nun sind wir endlich soweit, dass wir die angedeutete Lambert-W-Fun \begin{equation} W\left(\chi\cdot e^{\displaystyle \chi-\frac{4t}{r_0-y_0}}\right) = - \chi\eta + \chi\eta. \end{equation} Nach dem Auflösen nach \(x\) welches in \(\eta\) enthalten ist, erhalten wir die gesuchte \(x(t)\)-Funktion \eqref{lambertw:eqFunkXNachT}. Dieses \(x(t)\) in Kombination mit \eqref{lambertw:eqFunkUndAbleit1} liefert die Position des Verfolgers zu jedem Zeitpunkt. Das Gleichungspaar \eqref{lambertw:eqFunktionenNachT}, besteht aus folgenden Gleichungen: \begin{subequations} @@ -349,7 +349,7 @@ Nach dem Auflösen nach \(x\) welches in \(\eta\) enthalten ist, erhalten wir di = y(t) &= - \frac{1}{4}\left(\left(y_0+r_0\right)\left(\frac{x(t)}{x_0}\right)^2+\left(r_0-y_0\right)\operatorname{ln}\left(\left(\frac{x(t)}{x_0}\right)^2\right)-r_0+3y_0\right) + \frac{1}{4}\left(\left(y_0+r_0\right)\left(\frac{x(t)}{x_0}\right)^2+\left(r_0-y_0\right)\operatorname{ln}\left(\left(\frac{x(t)}{x_0}\right)^2\right)-r_0+3y_0\right). \end{align} \label{lambertw:eqFunktionenNachT} \end{subequations} -- cgit v1.2.1 From f203a63e8310dac852efccd3ed957362b0ed0761 Mon Sep 17 00:00:00 2001 From: Yanik Kuster Date: Sat, 23 Jul 2022 19:39:26 +0200 Subject: Adjusted x(t), due to earlier error --- buch/papers/lambertw/teil1.tex | 34 +++++++++++++++++----------------- 1 file changed, 17 insertions(+), 17 deletions(-) (limited to 'buch/papers') diff --git a/buch/papers/lambertw/teil1.tex b/buch/papers/lambertw/teil1.tex index b46ed12..fa7deb1 100644 --- a/buch/papers/lambertw/teil1.tex +++ b/buch/papers/lambertw/teil1.tex @@ -15,21 +15,20 @@ Diese beiden Fragen werden in diesem Kapitel behandelt und an einem Beispiel bet %\subsection{Ziel erreichen (überarbeiten) %\label{lambertw:subsection:ZielErreichen}} Für diese Betrachtung wird das Beispiel aus \eqref{lambertw:section:teil4} zur Hilfe genommen. -Wir verwenden die hergeleiteten Gleichungen für Startbedingung im ersten Quadranten +Wir verwenden die hergeleiteten Gleichungen \eqref{lambertw:eqFunkXNachT} für Startbedingung im ersten Quadranten \begin{align*} x\left(t\right) &= - \sqrt{\frac{W\left(\chi\cdot e^{\chi-\frac{4t}{r_0-y_0}}\right)}{\chi}} \\ - y(x) + x_0\cdot\sqrt{\frac{W\left(\chi\cdot e^{\chi-\frac{4t}{r_0-y_0}}\right)}{\chi}} \\ + y(t) &= - \frac{1}{4}\left(\left(y_0+r_0\right)\eta+\left(r_0-y_0\right)ln\left(\eta\right)-r_0+3y_0\right) \\ + \frac{1}{4}\left(\left(y_0+r_0\right)\left(\frac{x(t)}{x_0}\right)^2+\left(r_0-y_0\right)\operatorname{ln}\left(\left(\frac{x(t)}{x_0}\right)^2\right)-r_0+3y_0\right)\\ \chi &= \frac{r_0+y_0}{r_0-y_0}\\ \eta &= - \left(\frac{x}{x_0}\right)^2 - \\ + \left(\frac{x}{x_0}\right)^2\\ r_0 &= \sqrt{x_0^2+y_0^2} \text{.}\\ @@ -68,29 +67,28 @@ und der Verfolger durch &= x(t) = - \sqrt{\frac{W\left(\chi\cdot e^{\chi-\frac{4t}{r_0-y_0}}\right)}{\chi}} + x_0\sqrt{\frac{W\left(\chi\cdot e^{\chi-\frac{4t}{r_0-y_0}}\right)}{\chi}} \\ - v \cdot t + t &= y(t) = - \frac{1}{4}\left(\left(y_0+r_0\right)\eta+\left(r_0-y_0\right)ln\left(\eta\right)-r_0+3y_0\right) + \frac{1}{4}\left(\left(y_0+r_0\right)\left(\frac{x(t)}{x_0}\right)^2+\left(r_0-y_0\right)\operatorname{ln}\left(\left(\frac{x(t)}{x_0}\right)^2\right)-r_0+3y_0\right) \\ \end{align*} % , welche Beide gleichzeitig erfüllt sein müssen, damit das Ziel erreicht wurde. Zuerst wird die Bedingung der x-Koordinate betrachtet. -Diese kann durch quadrieren und anschliessendes multiplizieren von $\chi$ vereinfacht werden. -Es ist zu beachten, dass $W(x)$ die Lambert W-Funktion ist, welche im Kapitel \eqref{buch:section:lambertw} behandelt wurde. -Die Gleichung - +Diese kann durch dividieren durch $x_0$, anschliessendes quadrieren und multiplizieren von $\chi$ vereinfacht werden. Daraus folgt \begin{equation} - 0 - = - W\left(\chi\cdot e^{\chi-\frac{4t}{r_0-y_0}}\right) + 0 + = + W\left(\chi\cdot e^{\chi-\frac{4t}{r_0-y_0}}\right) + \text{.} \end{equation} % -entspricht genau den Nullstellen der Lambert W-Funktion. Da die Lambert W-Funktion genau eine Nullstelle bei +Es ist zu beachten, dass $W(x)$ die Lambert W-Funktion ist, welche im Kapitel \eqref{buch:section:lambertw} behandelt wurde. +Diese Gleichung entspricht genau den Nullstellen der Lambert W-Funktion. Da die Lambert W-Funktion genau eine Nullstelle bei \begin{equation*} W(0)=0 @@ -167,3 +165,5 @@ Da sowohl der Betrag als auch $a_{min}$ grösser null sind, bleibt die Aussage u + + -- cgit v1.2.1 From bed0b6e09967200014ab83444a8b4316f285781a Mon Sep 17 00:00:00 2001 From: Fabian <@> Date: Mon, 25 Jul 2022 00:27:05 +0200 Subject: 0f1, inhalt struktur --- buch/papers/0f1/main.tex | 32 ++++-------- buch/papers/0f1/teil0.tex | 31 +++++------- buch/papers/0f1/teil1.tex | 121 ++++++++++++++++++++++++++++------------------ buch/papers/0f1/teil2.tex | 103 ++++++++++++++++++++++++++------------- buch/papers/0f1/teil3.tex | 85 +++++++++++++++++++------------- 5 files changed, 215 insertions(+), 157 deletions(-) (limited to 'buch/papers') diff --git a/buch/papers/0f1/main.tex b/buch/papers/0f1/main.tex index 264ad56..b8cdc21 100644 --- a/buch/papers/0f1/main.tex +++ b/buch/papers/0f1/main.tex @@ -3,29 +3,17 @@ % % (c) 2020 Hochschule Rapperswil % -\chapter{Thema\label{chapter:0f1}} -\lhead{Thema} +% + + + +\chapter{Algorithmus zur Berechnung von $\mathstrut_0F_1$\label{chapter:0f1}} +\lhead{Algorithmus zur Berechnung von $\mathstrut_0F_1$} \begin{refsection} -\chapterauthor{Hans Muster} - -Ein paar Hinweise für die korrekte Formatierung des Textes -\begin{itemize} -\item -Absätze werden gebildet, indem man eine Leerzeile einfügt. -Die Verwendung von \verb+\\+ ist nur in Tabellen und Arrays gestattet. -\item -Die explizite Platzierung von Bildern ist nicht erlaubt, entsprechende -Optionen werden gelöscht. -Verwenden Sie Labels und Verweise, um auf Bilder hinzuweisen. -\item -Beginnen Sie jeden Satz auf einer neuen Zeile. -Damit ermöglichen Sie dem Versionsverwaltungssysteme, Änderungen -in verschiedenen Sätzen von verschiedenen Autoren ohne Konflikt -anzuwenden. -\item -Bilden Sie auch für Formeln kurze Zeilen, einerseits der besseren -Übersicht wegen, aber auch um GIT die Arbeit zu erleichtern. -\end{itemize} +\chapterauthor{Fabian Dünki} + + + \input{papers/0f1/teil0.tex} \input{papers/0f1/teil1.tex} diff --git a/buch/papers/0f1/teil0.tex b/buch/papers/0f1/teil0.tex index 9087808..bfc265f 100644 --- a/buch/papers/0f1/teil0.tex +++ b/buch/papers/0f1/teil0.tex @@ -1,22 +1,15 @@ % -% einleitung.tex -- Beispiel-File für die Einleitung +% einleitung.tex -- Einleitung % -% (c) 2020 Prof Dr Andreas Müller, Hochschule Rapperswil +% (c) 2022 Fabian Dünki, Hochschule Rapperswil % -\section{Teil 0\label{0f1:section:teil0}} -\rhead{Teil 0} -Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam -nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam -erat, sed diam voluptua \cite{0f1:bibtex}. -At vero eos et accusam et justo duo dolores et ea rebum. -Stet clita kasd gubergren, no sea takimata sanctus est Lorem ipsum -dolor sit amet. - -Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam -nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam -erat, sed diam voluptua. -At vero eos et accusam et justo duo dolores et ea rebum. Stet clita -kasd gubergren, no sea takimata sanctus est Lorem ipsum dolor sit -amet. - - +\section{Ausgangslage\label{0f1:section:ausgangslage}} +\rhead{Ausgangslage} +Die Hypergeometrische Funktion $\mathstrut_0F_1$ wird in vielen Funktionen als Basisfunktion benutzt, +zum Beispiel um die Airy Funktion zu berechnen. +In der GNU Scientific Library \cite{library-gsl} +ist die Funktion $\mathstrut_0F_1$ vorhanden. +Allerdings wirft die Funktion, bei negativen Übergabenwerten wie zum Beispiel \verb+gsl_sf_hyperg_0F1(1, -1)+, eine Exception. +Bei genauerer Untersuchung hat sich gezeigt, dass die Funktion je nach Betriebssystem funktioniert oder eben nicht. +So kann die Funktion unter Windows fehlerfrei aufgerufen werden, beim Mac OS und Linux sind negative Übergabeparameter im Moment nicht möglich. +Ziel dieser Arbeit war es zu evaluieren, ob es mit einfachen mathematischen Operationen möglich ist, die Hypergeometrische Funktion $\mathstrut_0F_1$ zu implementieren. diff --git a/buch/papers/0f1/teil1.tex b/buch/papers/0f1/teil1.tex index aca84d2..910e8bb 100644 --- a/buch/papers/0f1/teil1.tex +++ b/buch/papers/0f1/teil1.tex @@ -1,55 +1,80 @@ % -% teil1.tex -- Beispiel-File für das Paper +% teil1.tex -- Mathematischer Hintergrund % -% (c) 2020 Prof Dr Andreas Müller, Hochschule Rapperswil +% (c) 2022 Fabian Dünki, Hochschule Rapperswil % -\section{Teil 1 -\label{0f1:section:teil1}} -\rhead{Problemstellung} -Sed ut perspiciatis unde omnis iste natus error sit voluptatem -accusantium doloremque laudantium, totam rem aperiam, eaque ipsa -quae ab illo inventore veritatis et quasi architecto beatae vitae -dicta sunt explicabo. -Nemo enim ipsam voluptatem quia voluptas sit aspernatur aut odit -aut fugit, sed quia consequuntur magni dolores eos qui ratione -voluptatem sequi nesciunt -\begin{equation} -\int_a^b x^2\, dx +\section{Mathematischer Hintergrund +\label{0f1:section:mathHintergrund}} +\rhead{Mathematischer Hintergrund} + +\subsection{Hypergeometrische Funktion $\mathstrut_0F_1$ +\label{0f1:subsection:0f1}} +Wie in Kapitel \ref{buch:rekursion:section:hypergeometrische-funktion} beschrieben, +wird die Funktion $\mathstrut_0F_1$ folgendermassen definiert. +\begin{definition} + \label{0f1:rekursion:hypergeometrisch:def} + Die hypergeometrische Funktion + $\mathstrut_0F_1$ ist definiert durch die Reihe + \[ + \mathstrut_0F_1 + \biggl( + \begin{matrix} + \\ + b_1 + \end{matrix} + ; + x + \biggr) + = + \mathstrut_0F_1(;b_1;x) + = + \sum_{k=0}^\infty + \frac{1}{(b_1)_k}\frac{x^k}{k!}. + \] +\end{definition} + + +\subsection{Airy Funktion +\label{0f1:subsection:airy}} +Wie in \ref{buch:differentialgleichungen:section:hypergeometrisch} dargestellt, ist die Airy-Differentialgleichung +folgendermassen definiert. +\begin{definition} + y'' - xy = 0 + \label{0f1:airy:eq:differentialgleichung} +\end{definition} + +Daraus ergibt sich wie in Aufgabe~\ref{503} gefundenen Lösungen der +Airy-Differentialgleichung als hypergeometrische Funktionen. + + +\begin{align*} +y_1(x) += +\sum_{k=0}^\infty +\frac{1}{(\frac23)_k} \frac{1}{k!}\biggl(\frac{x^3}{9}\biggr)^k += +\mathstrut_0F_1\biggl( +\begin{matrix}\text{---}\\\frac23\end{matrix};\frac{x^3}{9} +\biggr). +\\ +y_2(x) = -\left[ \frac13 x^3 \right]_a^b +\sum_{k=0}^\infty +\frac{1}{(\frac43)_k} \frac{1}{k!}\biggl(\frac{x^3}{9}\biggr)^k = -\frac{b^3-a^3}3. -\label{0f1:equation1} -\end{equation} -Neque porro quisquam est, qui dolorem ipsum quia dolor sit amet, -consectetur, adipisci velit, sed quia non numquam eius modi tempora -incidunt ut labore et dolore magnam aliquam quaerat voluptatem. - -Ut enim ad minima veniam, quis nostrum exercitationem ullam corporis -suscipit laboriosam, nisi ut aliquid ex ea commodi consequatur? -Quis autem vel eum iure reprehenderit qui in ea voluptate velit -esse quam nihil molestiae consequatur, vel illum qui dolorem eum -fugiat quo voluptas nulla pariatur? - -\subsection{De finibus bonorum et malorum -\label{0f1:subsection:finibus}} -At vero eos et accusamus et iusto odio dignissimos ducimus qui -blanditiis praesentium voluptatum deleniti atque corrupti quos -dolores et quas molestias excepturi sint occaecati cupiditate non -provident, similique sunt in culpa qui officia deserunt mollitia -animi, id est laborum et dolorum fuga \eqref{000tempmlate:equation1}. - -Et harum quidem rerum facilis est et expedita distinctio -\ref{0f1:section:loesung}. -Nam libero tempore, cum soluta nobis est eligendi optio cumque nihil -impedit quo minus id quod maxime placeat facere possimus, omnis -voluptas assumenda est, omnis dolor repellendus -\ref{0f1:section:folgerung}. -Temporibus autem quibusdam et aut officiis debitis aut rerum -necessitatibus saepe eveniet ut et voluptates repudiandae sint et -molestiae non recusandae. -Itaque earum rerum hic tenetur a sapiente delectus, ut aut reiciendis -voluptatibus maiores alias consequatur aut perferendis doloribus -asperiores repellat. +x\cdot\mathstrut_0F_1\biggl( +\begin{matrix}\text{---}\\\frac43\end{matrix}; +\frac{x^3}{9} +\biggr). +\qedhere +\end{align*} +\begin{figure} + \centering + \includegraphics{papers/0f1/images/airy.pdf} + \caption{Plot der Lösungen der Airy-Differentialgleichung $y''-xy=0$ + zu den Anfangsbedingungen $y(0)=1$ und $y'(0)=0$ in {\color{red}rot} + und $y(0)=0$ und $y'(0)=1$ in {\color{blue}blau}. + \label{0f1:airy:plot:vorgabe}} +\end{figure} \ No newline at end of file diff --git a/buch/papers/0f1/teil2.tex b/buch/papers/0f1/teil2.tex index 804d11b..07e17c0 100644 --- a/buch/papers/0f1/teil2.tex +++ b/buch/papers/0f1/teil2.tex @@ -1,40 +1,75 @@ % -% teil2.tex -- Beispiel-File für teil2 +% teil2.tex -- Umsetzung in C Programmen % -% (c) 2020 Prof Dr Andreas Müller, Hochschule Rapperswil +% (c) 2022 Fabian Dünki, Hochschule Rapperswil % -\section{Teil 2 +\section{Umsetzung \label{0f1:section:teil2}} -\rhead{Teil 2} -Sed ut perspiciatis unde omnis iste natus error sit voluptatem -accusantium doloremque laudantium, totam rem aperiam, eaque ipsa -quae ab illo inventore veritatis et quasi architecto beatae vitae -dicta sunt explicabo. Nemo enim ipsam voluptatem quia voluptas sit -aspernatur aut odit aut fugit, sed quia consequuntur magni dolores -eos qui ratione voluptatem sequi nesciunt. Neque porro quisquam -est, qui dolorem ipsum quia dolor sit amet, consectetur, adipisci -velit, sed quia non numquam eius modi tempora incidunt ut labore -et dolore magnam aliquam quaerat voluptatem. Ut enim ad minima -veniam, quis nostrum exercitationem ullam corporis suscipit laboriosam, -nisi ut aliquid ex ea commodi consequatur? Quis autem vel eum iure -reprehenderit qui in ea voluptate velit esse quam nihil molestiae -consequatur, vel illum qui dolorem eum fugiat quo voluptas nulla -pariatur? - -\subsection{De finibus bonorum et malorum -\label{0f1:subsection:bonorum}} -At vero eos et accusamus et iusto odio dignissimos ducimus qui -blanditiis praesentium voluptatum deleniti atque corrupti quos -dolores et quas molestias excepturi sint occaecati cupiditate non -provident, similique sunt in culpa qui officia deserunt mollitia -animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis -est et expedita distinctio. Nam libero tempore, cum soluta nobis -est eligendi optio cumque nihil impedit quo minus id quod maxime -placeat facere possimus, omnis voluptas assumenda est, omnis dolor -repellendus. Temporibus autem quibusdam et aut officiis debitis aut -rerum necessitatibus saepe eveniet ut et voluptates repudiandae -sint et molestiae non recusandae. Itaque earum rerum hic tenetur a -sapiente delectus, ut aut reiciendis voluptatibus maiores alias -consequatur aut perferendis doloribus asperiores repellat. +\rhead{Umsetzung} +Zur Umsetzung wurden drei Ansätze gewählt und +Die Unterprogramme wurde jeweils, wie die GNU Scientific Library, in C geschrieben. +\subsection{Potenzreihe +\label{0f1:subsection:potenzreihe}} +Die naheliegendste Lösung ist die Programmierung der Potenzreihe. +\begin{equation} + \label{0f1:rekursion:hypergeometrisch:eq} + \mathstrut_0F_1(;b;z) + = + \sum_{k=0}^\infty + \frac{z^k}{(b)_k \cdot k!} +\end{equation} + +\lstinputlisting[style=C,float,caption={Rekursivformel für Kettenbruch.},label={0f1:listing:potenzreihe}]{papers/0f1/listings/potenzreihe.c} + +\subsection{Kettenbruch +\label{0f1:subsection:kettenbruch}} +Ein endlicher Kettenbruch ist ein Bruch der Form +\begin{equation} +a_0 + \cfrac{b_1}{a_1+\cfrac{b_2}{a_2+\cfrac{\cdots}{\cdots+\cfrac{b_{n-1}}{a_{n-1} + \cfrac{b_n}{a_n}}}}} +\end{equation} +in welchem $a_0, a_1,\dots,a_n$ und $b_1,b_2,\dots,b_n$ ganze Zahlen +darstellen. + +{\color{red}TODO: Bessere Beschreibung mit Verknüpfung zur Potenzreihe} + +%Gauss hat durch + +\lstinputlisting[style=C,float,caption={Rekursivformel für Kettenbruch.},label={0f1:listing:kettenbruchIterativ}]{papers/0f1/listings/kettenbruchIterativ.c} +\subsection{Rekursionsformel +\label{0f1:subsection:rekursionsformel}} +Wesentlich effizienter zur Berechnung eines Kettenbruches ist die Rekursionsformel. + +\begin{align*} +\frac{A_n}{B_n} += +a_0 + \cfrac{b_1}{a_1+\cfrac{b_2}{a_2+\cfrac{\cdots}{\cdots+\cfrac{b_{n-1}}{a_{n-1} + \cfrac{b_n}{a_n}}}}} +\end{align*} + +Die Berechnung von $A_n, B_n$ kann man auch ohne die Matrizenschreibweise +aufschreiben: +\begin{itemize} +\item Start: +\begin{align*} +A_{-1} &= 0 & A_0 &= a_0 \\ +B_{-1} &= 1 & B_0 &= 1 +\end{align*} +$\rightarrow$ 0-te Näherung: $\displaystyle\frac{A_0}{B_0} = a_0$ +\item Schritt $k\to k+1$: +\[ +\begin{aligned} +k &\rightarrow k + 1: +& +A_{k+1} &= A_{k-1} \cdot b_k + A_k \cdot a_k \\ +&& +B_{k+1} &= B_{k-1} \cdot b_k + B_k \cdot a_k +\end{aligned} +\] +\item +Näherungsbruch $n$: \qquad$\displaystyle\frac{A_n}{B_n}$ +\end{itemize} +{\color{red}TODO: Verweis Numerik} + + +\lstinputlisting[style=C,float,caption={Rekursivformel für Kettenbruch.},label={0f1:listing:kettenbruchRekursion}]{papers/0f1/listings/kettenbruchRekursion.c} \ No newline at end of file diff --git a/buch/papers/0f1/teil3.tex b/buch/papers/0f1/teil3.tex index 25472cb..dca61f8 100644 --- a/buch/papers/0f1/teil3.tex +++ b/buch/papers/0f1/teil3.tex @@ -1,40 +1,57 @@ % -% teil3.tex -- Beispiel-File für Teil 3 +% teil3.tex -- Resultate und Ausblick % -% (c) 2020 Prof Dr Andreas Müller, Hochschule Rapperswil +% (c) 2022 Fabian Dünki, Hochschule Rapperswil % -\section{Teil 3 +\section{Resultate \label{0f1:section:teil3}} -\rhead{Teil 3} -Sed ut perspiciatis unde omnis iste natus error sit voluptatem -accusantium doloremque laudantium, totam rem aperiam, eaque ipsa -quae ab illo inventore veritatis et quasi architecto beatae vitae -dicta sunt explicabo. Nemo enim ipsam voluptatem quia voluptas sit -aspernatur aut odit aut fugit, sed quia consequuntur magni dolores -eos qui ratione voluptatem sequi nesciunt. Neque porro quisquam -est, qui dolorem ipsum quia dolor sit amet, consectetur, adipisci -velit, sed quia non numquam eius modi tempora incidunt ut labore -et dolore magnam aliquam quaerat voluptatem. Ut enim ad minima -veniam, quis nostrum exercitationem ullam corporis suscipit laboriosam, -nisi ut aliquid ex ea commodi consequatur? Quis autem vel eum iure -reprehenderit qui in ea voluptate velit esse quam nihil molestiae -consequatur, vel illum qui dolorem eum fugiat quo voluptas nulla -pariatur? - -\subsection{De finibus bonorum et malorum -\label{0f1:subsection:malorum}} -At vero eos et accusamus et iusto odio dignissimos ducimus qui -blanditiis praesentium voluptatum deleniti atque corrupti quos -dolores et quas molestias excepturi sint occaecati cupiditate non -provident, similique sunt in culpa qui officia deserunt mollitia -animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis -est et expedita distinctio. Nam libero tempore, cum soluta nobis -est eligendi optio cumque nihil impedit quo minus id quod maxime -placeat facere possimus, omnis voluptas assumenda est, omnis dolor -repellendus. Temporibus autem quibusdam et aut officiis debitis aut -rerum necessitatibus saepe eveniet ut et voluptates repudiandae -sint et molestiae non recusandae. Itaque earum rerum hic tenetur a -sapiente delectus, ut aut reiciendis voluptatibus maiores alias -consequatur aut perferendis doloribus asperiores repellat. +\rhead{Resultate} +Im Verlauf des Seminares hat sich gezeigt, +das ein einfacher mathematischer Algorithmus zu implementieren gar nicht so einfach ist. +So haben alle drei umgesetzten Ansätze Probleme mit grossen negativen x in der Funktion $\mathstrut_0F_1(;b;x)$. +Ebenso wird, je grösser der Wert x wird $\mathstrut_0F_1(;b;x)$, desto mehr weichen die berechneten Resultate +von den erwarteten ab. +{\color{red}TODO cite wolfram alpha rechner} + +\subsection{Auswertung +\label{0f1:subsection:auswertung}} +\begin{figure} + \centering + \includegraphics[width=0.8\textwidth]{papers/0f1/images/konvergenzAiry.pdf} + \caption{Konvergenz nach drei Iterationen, dargestellt anhand der Airy Funktion}. + \label{0f1:ausblick:plot:airy:konvergenz}} +\end{figure} + +\begin{figure} + \centering + \includegraphics[width=0.8\textwidth]{papers/0f1/images/konvergenzPositiv.pdf} + \caption{Konvergenz: Logarithmisch dargestellte Differenz vom erwarteten Endresultat}. + \label{0f1:ausblick:plot:konvergenz:positiv}} +\end{figure} + +\begin{figure} + \centering + \includegraphics[width=0.8\textwidth]{papers/0f1/images/konvergenzNegativ.pdf} + \caption{Konvergenz: Logarithmisch dargestellte Differenz vom erwarteten Endresultat}. + \label{0f1:ausblick:plot:konvergenz:negativ}} +\end{figure} + +\begin{figure} + \centering + \includegraphics[width=1\textwidth]{papers/0f1/images/stabilitaet.pdf} + \caption{Stabilität der 3 Algorithmen verglichen mit der GNU Scientific Library}. + \label{0f1:ausblick:plot:airy:stabilitaet}} +\end{figure} + +\begin{itemize} + \item Negative Zahlen sind sowohl für die Potenzreihe als auch für den Kettenbruch ein Problem. + \item Die Potenzreihe hat das Problem, je tiefer die Rekursionstiefe, desto mehr machen die Brüche ein Problem. Also der Nenner mit der Fakultät und dem Pochhammer Symbol. + \item Die Rekursionformel liefert für sehr grosse positive Werte die genausten Ergebnisse, verglichen mit der GNU Scientific Library. +\end{itemize} + + +\subsection{Ausblick +\label{0f1:subsection:ausblick}} + -- cgit v1.2.1 From c558a668bcc6d820c489dad980dc0f8f83acdbde Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Andreas=20M=C3=BCller?= Date: Mon, 25 Jul 2022 08:33:08 +0200 Subject: fix brace-problem --- buch/papers/0f1/teil3.tex | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) (limited to 'buch/papers') diff --git a/buch/papers/0f1/teil3.tex b/buch/papers/0f1/teil3.tex index dca61f8..44a4600 100644 --- a/buch/papers/0f1/teil3.tex +++ b/buch/papers/0f1/teil3.tex @@ -18,28 +18,28 @@ von den erwarteten ab. \begin{figure} \centering \includegraphics[width=0.8\textwidth]{papers/0f1/images/konvergenzAiry.pdf} - \caption{Konvergenz nach drei Iterationen, dargestellt anhand der Airy Funktion}. + \caption{Konvergenz nach drei Iterationen, dargestellt anhand der Airy Funktion. \label{0f1:ausblick:plot:airy:konvergenz}} \end{figure} \begin{figure} \centering \includegraphics[width=0.8\textwidth]{papers/0f1/images/konvergenzPositiv.pdf} - \caption{Konvergenz: Logarithmisch dargestellte Differenz vom erwarteten Endresultat}. + \caption{Konvergenz: Logarithmisch dargestellte Differenz vom erwarteten Endresultat. \label{0f1:ausblick:plot:konvergenz:positiv}} \end{figure} \begin{figure} \centering \includegraphics[width=0.8\textwidth]{papers/0f1/images/konvergenzNegativ.pdf} - \caption{Konvergenz: Logarithmisch dargestellte Differenz vom erwarteten Endresultat}. + \caption{Konvergenz: Logarithmisch dargestellte Differenz vom erwarteten Endresultat. \label{0f1:ausblick:plot:konvergenz:negativ}} \end{figure} \begin{figure} \centering \includegraphics[width=1\textwidth]{papers/0f1/images/stabilitaet.pdf} - \caption{Stabilität der 3 Algorithmen verglichen mit der GNU Scientific Library}. + \caption{Stabilität der 3 Algorithmen verglichen mit der GNU Scientific Library. \label{0f1:ausblick:plot:airy:stabilitaet}} \end{figure} -- cgit v1.2.1 From 7d01dd49954a2f6c1c2b662af1c01f3928ddb827 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Patrik=20M=C3=BCller?= Date: Mon, 25 Jul 2022 10:06:45 +0200 Subject: Add missing explanations, correct typos, mention sign change of LP earlier --- buch/papers/laguerre/definition.tex | 36 ++++----- buch/papers/laguerre/eigenschaften.tex | 3 +- buch/papers/laguerre/gamma.tex | 89 ++++++++++++---------- buch/papers/laguerre/main.tex | 21 ++--- .../presentation/sections/gamma_approx.tex | 2 +- buch/papers/laguerre/quadratur.tex | 19 +++-- 6 files changed, 93 insertions(+), 77 deletions(-) (limited to 'buch/papers') diff --git a/buch/papers/laguerre/definition.tex b/buch/papers/laguerre/definition.tex index e2062d2..61549e0 100644 --- a/buch/papers/laguerre/definition.tex +++ b/buch/papers/laguerre/definition.tex @@ -4,15 +4,14 @@ % (c) 2022 Patrik Müller, Ostschweizer Fachhochschule % \section{Herleitung% -% \section{Einleitung -% \section{Definition -\label{laguerre:section:definition}} + % \section{Einleitung + % \section{Definition + \label{laguerre:section:definition}} \rhead{Definition}% In einem ersten Schritt möchten wir die Laguerre-Polynome aus der Laguerre-\-Differentialgleichung herleiten. -Zudem möchten wir die Lösung auch auf -die assoziierten Laguerre-Polynome ausweiten. -Im Anschluss möchten wir dann noch die Orthogonalität dieser Polynome beweisen. +Zudem werden wir die Lösung auf die assoziierten Laguerre-Polynome ausweiten. +Im Anschluss soll dann noch die Orthogonalität dieser Polynome bewiesen werden. \subsection{Assoziierte Laguerre-Differentialgleichung} Die assoziierte Laguerre-Differentialgleichung ist gegeben durch @@ -32,14 +31,14 @@ zuerst von Yacovlevich Sonine (1849 - 1915) beschrieben, aber aufgrund ihrer Ähnlichkeit nach Laguerre benannt. Die klassische Laguerre-Diffentialgleichung erhält man, wenn $\nu = 0$. -{\subsection{Potenzreihenansatz} +\subsection{Potenzreihenansatz% \label{laguerre:subsection:potenzreihenansatz}} Hier wird die assoziierte Laguerre-Differentialgleichung verwendet, weil die Lösung mit derselben Methode berechnet werden kann. Zusätzlich erhält man aber die Lösung für den allgmeinen Fall. Wir stellen die Vermutung auf, dass die Lösungen orthogonale Polynome sind. -Die Orthogonalität der Lösung werden wir im +Die Orthogonalität der Lösung werden wir im Abschnitt~\ref{laguerre:subsection:orthogonal} beweisen. Zur Lösung von \eqref{laguerre:dgl} verwenden wir aufgrund der getroffenen Vermutungen einen Potenzreihenansatz. @@ -49,7 +48,7 @@ Der Potenzreihenansatz ist gegeben als % erscheint dieser Ansatz sinnvoll. \begin{align*} y(x) -& = + & = \sum_{k=0}^\infty a_k x^k % \\ . @@ -57,13 +56,13 @@ y(x) Für die 1. und 2. Ableitungen erhalten wir \begin{align*} y'(x) -& = + & = \sum_{k=1}^\infty k a_k x^{k-1} = \sum_{k=0}^\infty (k+1) a_{k+1} x^k \\ y''(x) -& = + & = \sum_{k=2}^\infty k (k-1) a_k x^{k-2} = \sum_{k=1}^\infty (k+1) k a_{k+1} x^{k-1} @@ -71,7 +70,7 @@ y''(x) \end{align*} \subsection{Lösen der Laguerre-Differentialgleichung} -Setzt man nun den Potenzreihenansatz in +Setzt man nun den Potenzreihenansatz in \eqref{laguerre:dgl} %die Differentialgleichung ein, @@ -106,7 +105,8 @@ denn für $k=n$ wird $a_{n+1} = 0$ und damit auch $a_{n+2}=a_{n+3}=\ldots=0$. Aus %der Rekursionsbeziehung \eqref{laguerre:rekursion} ist zudem ersichtlich, dass $a_0 \neq 0$ beliebig gewählt werden kann. -Wählen wir nun $a_0 = 1$, dann folgt für die Koeffizienten $a_1, a_2, a_3$ +Wählen wir nun $a_0 = 1$, dann folgt für die Koeffizienten +% $a_1, a_2, a_3$ \begin{align*} a_1 = @@ -136,8 +136,10 @@ k & >n: & a_k & = -0. +0 +. \end{align*} +Die Koeffizienten wechseln also für $k \leq n$ das Vorzeichen. Somit erhalten wir für $\nu = 0$ die Laguerre-Polynome \begin{align} L_n(x) @@ -174,11 +176,11 @@ L_n(x) \log(x) + \sum_{k=1}^\infty d_k x^k . \end{align*} Eine Herleitung dazu lässt sich im -Abschnitt \ref{buch:funktionentheorie:subsection:dglsing} +Abschnitt \ref{buch:funktionentheorie:subsection:dglsing} im ersten Teil des Buches finden. -Nach einigen aufwändigen Rechnungen, +Nach einigen aufwändigen Rechnungen, % die am besten ein Computeralgebrasystem übernimmt, -die den Rahmen dieses Kapitel sprengen würden, +die den Rahmen dieses Kapitels sprengen würden, erhalten wir \begin{align*} \Xi_n diff --git a/buch/papers/laguerre/eigenschaften.tex b/buch/papers/laguerre/eigenschaften.tex index 55d2276..6ba9135 100644 --- a/buch/papers/laguerre/eigenschaften.tex +++ b/buch/papers/laguerre/eigenschaften.tex @@ -90,6 +90,7 @@ S & = x \frac{d^2}{dx^2} + (\nu + 1 - x) \frac{d}{dx} \label{laguerre:sl-lag} +, \end{align} lässt sich sofort erkennen, dass $q(x) = 0$. Ausserdem ist ersichtlich, dass $p(x)$ die Differentialgleichung @@ -133,7 +134,7 @@ deshalb ist die Laguerre-Gewichtsfunktion nur geeignet für den Definitionsbereich $(0, \infty)$. \subsubsection{Randbedingungen} -Bleibt nur noch sicherzustellen, dass die Randbedingungen, +Bleibt nur noch sicherzustellen, dass die Randbedingungen \begin{align} k_0 y(0) + h_0 p(0)y'(0) & = diff --git a/buch/papers/laguerre/gamma.tex b/buch/papers/laguerre/gamma.tex index e40d8ca..0cf17b9 100644 --- a/buch/papers/laguerre/gamma.tex +++ b/buch/papers/laguerre/gamma.tex @@ -25,7 +25,7 @@ markant verbessern können. % wenden wir dann die Gauss-Laguerre-Quadratur auf die Gamma-Funktion und % erweitern die Methode -{\subsection{Gamma-Funktion} +\subsection{Gamma-Funktion% \label{laguerre:subsection:gamma}} Die Gamma-Funktion ist eine Erweiterung der Fakultät auf die reale und komplexe Zahlenmenge. @@ -44,11 +44,11 @@ Integral der Form . \end{align} Der Term $e^{-x}$ im Integranden und der Integrationsbereich erfüllen -genau die Bedingungen der Laguerre-Integration. +genau die Bedingungen der Gauss-Laguerre-Integration. % Der Term $e^{-t}$ ist genau die Gewichtsfunktion der Laguerre-Integration und % der Definitionsbereich passt ebenfalls genau für dieses Verfahren. -Weiter zu erwähnen ist, dass für die assoziierte Laguerre-Integration die -Gewichtsfunktion $x^\nu e^{-x}$ exakt dem Integranden +Weiter zu erwähnen ist, dass für die assoziierte Gauss-Laguerre-Integration die +Gewichtsfunktion $x^\nu e^{-x}$ exakt dem Integranden für $\nu = z - 1$ entspricht. \subsubsection{Funktionalgleichung} @@ -84,10 +84,11 @@ her. Dadurch lassen Werte der Gamma-Funktion sich für $z$ in der rechten Halbebene leicht in die linke Halbebene übersetzen und umgekehrt. -{\subsection{Berechnung mittels Gauss-Laguerre-Quadratur} +\subsection{Berechnung mittels +Gauss-Laguerre-Quadratur% \label{laguerre:subsection:gauss-lag-gamma}} In den vorherigen Abschnitten haben wir gesehen, -dass sich die Gamma-Funktion bestens für die Gauss-Laguerre-Quadratur +dass sich die Gamma-Funktion bestens für die Gauss-Laguerre-Quadratur \begin{align*} \int_0^\infty x^{z-1} e^{-x} \, dx = @@ -169,16 +170,6 @@ Somit entscheiden wir uns aufgrund der vorherigen Punkte, die zweite Variante weiterzuverfolgen. \subsubsection{Direkter Ansatz} -Wenden wir also die Gauss-Laguerre-Quadratur aus -\eqref{laguerre:laguerrequadratur} auf die Gamma-Funktion -\eqref{laguerre:gamma} an, -ergibt sich -\begin{align} -\Gamma(z) -\approx -\sum_{i=1}^n x_i^{z-1} A_i. -\label{laguerre:naive_lag} -\end{align} % \begin{figure} \centering @@ -186,10 +177,22 @@ ergibt sich \includegraphics{papers/laguerre/images/rel_error_simple.pdf} %\vspace{-12pt} \caption{Relativer Fehler des direkten Ansatzes -für verschiedene reele Werte von $z$ und Grade $n$ der Laguerre-Polynome} +für verschiedene reelle Werte von $z$ und Grade $n$ der +Laguerre-Polynome}% \label{laguerre:fig:rel_error_simple} \end{figure} -% +%. +Wenden wir also die Gauss-Laguerre-Quadratur aus +\eqref{laguerre:laguerrequadratur} auf die Gamma-Funktion +\eqref{laguerre:gamma} an, +ergibt sich +\begin{align} +\Gamma(z) +\approx +\sum_{i=1}^n x_i^{z-1} A_i +\label{laguerre:naive_lag} +. +\end{align} Bevor wir die Gauss-Laguerre-Quadratur anwenden, möchten wir als ersten Schritt eine Fehlerabschätzung durchführen. Für den Fehlerterm \eqref{laguerre:lag_error} wird die $2n$-te Ableitung @@ -220,8 +223,8 @@ und für $z > 2n - 1$ bei $\xi \rightarrow \infty$ divergiert. Nur für den unwahrscheinlichen Fall $ z = 2n - 1$ wäre eine Fehlerabschätzung plausibel. -Wenden wir nun also direkt die Gauss-Laguerre-Quadratur auf die Gamma-Funktion -an. +Wenden wir nun also direkt die Gauss-Laguerre-Quadratur +auf die Gamma-Funktion an. Dazu benötigen wir die Gewichte nach \eqref{laguerre:quadratur_gewichte} und als Stützstellen die Nullstellen des Laguerre-Polynomes $L_n$. @@ -229,18 +232,17 @@ Evaluieren wir den relativen Fehler unserer Approximation zeigt sich ein Bild wie in Abbildung~\ref{laguerre:fig:rel_error_simple}. Man kann sehen, wie der relative Fehler Nullstellen aufweist für ganzzahlige $z \leq 2n$. -Laut der Theorie der Gauss-Quadratur auch ist das zu erwarten, +Laut der Theorie der Gauss-Quadratur ist das auch zu erwarten, da die Approximation via Gauss-Quadratur -exakt ist für zu integrierende Polynome mit Grad $\leq 2n-1$ -und hinzukommt, -dass zudem von $z$ noch $1$ abgezogen wird im Exponenten. +exakt ist für zu integrierende Polynome mit Grad $\leq 2n-1$ und +der Integrand $x^{z-1}$ wird für $z \in \mathbb{N} \setminus \{0\}$ +zu einem Polynom . +% Hinzukommt, dass zudem von $z$ noch $1$ abgezogen wird im Exponenten. Es ist ersichtlich, dass sich für den Polynomgrad $n$ ein Intervall gibt, in dem der relative Fehler minimal ist. Links steigt der relative Fehler besonders stark an, während er auf der rechten Seite zu konvergieren scheint. -Um die linke Hälfte in den Griff zu bekommen, -könnten wir die Reflektionsformel der Gamma-Funktion verwenden. \begin{figure} \centering @@ -248,10 +250,12 @@ könnten wir die Reflektionsformel der Gamma-Funktion verwenden. \includegraphics{papers/laguerre/images/rel_error_mirror.pdf} %\vspace{-12pt} \caption{Relativer Fehler des Ansatzes mit Spiegelung negativer Realwerte -für verschiedene reele Werte von $z$ und Grade $n$ der Laguerre-Polynome} +für verschiedene reelle Werte von $z$ und Grade $n$ der Laguerre-Polynome} \label{laguerre:fig:rel_error_mirror} \end{figure} +Um die linke Hälfte in den Griff zu bekommen, +könnten wir die Reflektionsformel der Gamma-Funktion verwenden. Spiegelt man nun $z$ mit negativem Realteil mittels der Reflektionsformel, ergibt sich ein stabilerer Fehler in der linken Hälfte, wie in Abbildung~\ref{laguerre:fig:rel_error_mirror}. @@ -269,9 +273,10 @@ das Problem in den Griff zu bekommen. \subsubsection{Analyse des Integranden} Wie wir im vorherigen Abschnitt gesehen haben, scheint der Integrand problematisch. -Darum möchten wir jetzt den Integranden analysieren, -damit wir ihn besser verstehen und -dadurch geeignete Gegenmassnahmen zu entwickeln können. +Darum möchten wir ihn jetzt analysieren, +damit wir ihn besser verstehen können. +Dies sollte es uns ermöglichen, +anschliessend geeignete Gegenmassnahmen zu entwickeln. % Dieser Abschnitt soll eine grafisches Verständnis dafür schaffen, % wieso der Integrand so problematisch ist. @@ -311,16 +316,17 @@ dass kleine Exponenten um $0$ genauere Resultate liefern sollten. In Abbildung~\ref{laguerre:fig:integrand_exp} fügen wir die Dämpfung der Gewichtsfunktion $w(x)$ der Gauss-Laguerre-Quadratur wieder hinzu -und erhalten so wieder den kompletten Integranden $x^{z-1} e^{-x}$ +und erhalten so wieder den kompletten Integranden $x^{z} e^{-x}$ der Gamma-Funktion. Für negative $z$ ergeben sich immer noch Singularitäten, wenn $x \rightarrow 0$. -Um $1$ wächst der Term $x^z$ schneller als die Dämpfung $e^{-x}$, +Um $x = 1$ wächst der Term $x^z$ für positive $z$ +schneller als die Dämpfung $e^{-x}$, aber für $x \rightarrow \infty$ geht der Integrand gegen $0$. Das führt zu glockenförmigen Kurven, die für grosse Exponenten $z$ nach der Stelle $x=1$ schnell anwachsen. Zu grosse Exponenten $z$ sind also immer noch problematisch. -Kleine positive $z$ scheinen nun also auch zulässig zu sein. +Kleine positive $z$ scheinen nun aber auch zulässig zu sein. Damit formulieren wir die Vermutung, dass $a(n)$, welches das Intervall $[a(n), a(n) + 1]$ definiert, @@ -416,7 +422,8 @@ können die Intervalle $[a(n), a(n)+1]$ empirisch gesucht werden. Wir bestimmen nun die optimalen Verschiebungsterme empirisch für $n = 1,\ldots, 12$ im Intervall $z \in (0, 1)$, da $z$ sowieso mit den Term $m$ verschoben wird, -reicht die $m^*$ nur in diesem Intervall zu analysieren. +reicht es, +die $m^*$ nur in diesem Intervall zu analysieren. In Abbildung~\ref{laguerre:fig:targets} sind die empirisch bestimmten $m^*$ abhängig von $z$ und $n$ dargestellt. In $n$-Richtung lässt sich eine klare lineare Abhängigkeit erkennen und @@ -481,7 +488,7 @@ dann beim Übergang auf die orange Linie wechselt. \includegraphics{papers/laguerre/images/rel_error_shifted.pdf} %\vspace{-12pt} \caption{Relativer Fehler des Ansatzes mit Verschiebungsterm -für verschiedene reele Werte von $z$ und Verschiebungsterme $m$. +für verschiedene reelle Werte von $z$ und Verschiebungsterme $m$. Das verwendete Laguerre-Polynom besitzt den Grad $n = 8$. $m^*$ bezeichnet hier den optimalen Verschiebungsterm.} \label{laguerre:fig:rel_error_shifted} @@ -520,7 +527,7 @@ Abbildung~\ref{laguerre:fig:rel_error_range}. \includegraphics{papers/laguerre/images/rel_error_range.pdf} %\vspace{-12pt} \caption{Relativer Fehler des Ansatzes mit optimalen Verschiebungsterm -für verschiedene reele Werte von $z$ und Laguerre-Polynome vom Grad $n$} +für verschiedene reelle Werte von $z$ und Laguerre-Polynome vom Grad $n$} \label{laguerre:fig:rel_error_range} \end{figure} @@ -569,14 +576,14 @@ Diese Methode wurde zum Beispiel in {\em GNU Scientific Library}, {\em Boost}, {\em CPython} und {\em musl} implementiert. Diese Methode erreicht für $n = 7$ typischerweise eine Genauigkeit von $13$ -korrekten, signifikanten Stellen für reele Argumente. +korrekten, signifikanten Stellen für reelle Argumente. Zum Vergleich: die vorgestellte Methode erreicht für $n = 7$ eine minimale Genauigkeit von $6$ korrekten, signifikanten Stellen -für reele Argumente. +für reelle Argumente. \subsubsection{Fazit} % Das Resultat ist etwas enttäuschend, -Die Genauigkeit der vorgestellten Methode schneidet somit schlechter ab, +Die Genauigkeit der vorgestellten Methode schneidet somit schlechter ab als die Lanczos-Methode. Dieser Erkenntnis kommt nicht ganz unerwartet, % aber nicht unerwartet, @@ -595,6 +602,6 @@ nur $n$ Funktionsevaluationen und wenige zusätzliche Multiplikationen und Additionen. Demzufolge könnte diese Methode Anwendung in Systemen mit wenig Rechenleistung und/oder knappen Energieressourcen finden. -Die vorgestellte Methode ist ein weiteres Beispiel dafür, -wie Verfahren durch die Kenntnis der Eigenschaften einer Funktion +Die vorgestellte Methode ist ein weiteres Beispiel dafür, +wie Verfahren durch die Kenntnis der Eigenschaften einer Funktion verbessert werden können. \ No newline at end of file diff --git a/buch/papers/laguerre/main.tex b/buch/papers/laguerre/main.tex index 91c1475..133d686 100644 --- a/buch/papers/laguerre/main.tex +++ b/buch/papers/laguerre/main.tex @@ -8,24 +8,27 @@ \begin{refsection} \chapterauthor{Patrik Müller} -{\parindent0pt Die} Laguerre\--Polynome, +{\parindent0pt Die} Laguerre\--Polynome, benannt nach Edmond Laguerre (1834 -- 1886), -sind Lösungen der ebenfalls nach Laguerre benannten Differentialgleichung. -Laguerre entdeckte diese Polynome, als er Approximations\-methoden -für das Integral +sind Lösungen der ebenfalls nach %Laguerre +ihm +benannten Differentialgleichung. +Laguerre entdeckte diese Polynome, als er Approximations\-methoden +für das Integral % $\int_0^\infty \exp(-x) / x \, dx $ \begin{align*} \int_0^\infty \frac{e^{-x}}{x} \, dx \end{align*} suchte. -Darum möchten wir uns in diesem Kapitel, +Darum möchten wir uns in diesem Kapitel, ganz im Sinne des Entdeckers, -den Laguerre-Polynomen für Approximationen von Integralen mit -exponentiell-abfallenden Funktionen widmen. +den Laguerre-Polynomen für Approximationen von Integralen mit +exponentiell abfallenden Funktionen widmen. Namentlich werden wir versuchen, mittels Laguerre-Polynomen und -der Gauss-Quadratur eine geeignete Approximation für die Gamma-Funktion zu finden. +der Gauss-Quadratur eine geeignete Approximation für die Gamma-Funktion zu +finden. -Laguerre-Polynome tauchen zudem auch in der Quantenmechanik im radialen Anteil +Laguerre-Polynome tauchen zudem auch in der Quantenmechanik im radialen Anteil der Lösung für die Schrödinger-Gleichung eines Wasserstoffatoms auf. \input{papers/laguerre/definition} diff --git a/buch/papers/laguerre/presentation/sections/gamma_approx.tex b/buch/papers/laguerre/presentation/sections/gamma_approx.tex index 811fbfa..b5e1131 100644 --- a/buch/papers/laguerre/presentation/sections/gamma_approx.tex +++ b/buch/papers/laguerre/presentation/sections/gamma_approx.tex @@ -51,7 +51,7 @@ R_n(\xi) % \scalebox{0.91}{\input{../images/rel_error_simple.pgf}} % \resizebox{!}{0.72\textheight}{\input{../images/rel_error_simple.pgf}} \includegraphics[width=0.77\textwidth]{../images/rel_error_simple.pdf} -\caption{Relativer Fehler des einfachen Ansatzes für verschiedene reele Werte +\caption{Relativer Fehler des einfachen Ansatzes für verschiedene reelle Werte von $z$ und Grade $n$ der Laguerre-Polynome} \end{figure} diff --git a/buch/papers/laguerre/quadratur.tex b/buch/papers/laguerre/quadratur.tex index 841bc20..0e32012 100644 --- a/buch/papers/laguerre/quadratur.tex +++ b/buch/papers/laguerre/quadratur.tex @@ -16,7 +16,7 @@ verwendet. Stellt man also sicher, dass ein Verfahren gut für Polynome funktioniert, sollte es auch für andere Funktionen angemessene Resultate liefern. -Es wird ein Polynom verwendet, +Es wird ein Interpolationspolynom verwendet, welches an den Punkten $x_0 < x_1 < \ldots < x_n$ die Funktionwerte~$f(x_i)$ annimmt. Als Resultat kann das Integral via einer gewichteten Summe der Form @@ -66,10 +66,11 @@ gegen $0$ konvergiert als jedes Polynom. % $L_n$ ausweiten. % Diese sind orthogonal im Intervall $(0, \infty)$ bezüglich % der Gewichtsfunktion $e^{-x}$. -Um also das Integral einer Funktion $g(x)$ im Intervall~$(0,\infty)$ zu berechen, +Um also das Integral einer Funktion $g(x)$ im Intervall~$(0,\infty)$ zu +berechen, formt man das Integral wie folgt um: \begin{align*} -\int_0^\infty g(x) \, dx +\int_0^\infty g(x) \, dx = \int_0^\infty f(x) e^{-x} \, dx \end{align*} @@ -77,7 +78,7 @@ Wir approximieren dann $f(x)$ durch ein Interpolationspolynom wie bei der Gauss-Quadratur. % Die Gleichung~\eqref{laguerre:gaussquadratur} lässt sich daher wie folgt % umformulieren: -Die Gleichung~\eqref{laguerre:gaussquadratur} wird also +Die Gleichung~\eqref{laguerre:gaussquadratur} wird also für die Gauss-Laguerre-Quadratur zu \begin{align} \int_{0}^{\infty} f(x) e^{-x} dx @@ -89,8 +90,8 @@ für die Gauss-Laguerre-Quadratur zu \subsubsection{Stützstellen und Gewichte} Nach der Definition der Gauss-Quadratur müssen als Stützstellen die Nullstellen -des verwendeten Polynoms genommen werden. -Für das Laguerre-Polynom $L_n$ müssen demnach dessen Nullstellen $x_i$ und +des Approximationspolynoms genommen werden. +Für das Laguerre-Polynom $L_n(x)$ müssen demnach dessen Nullstellen $x_i$ und als Gewichte $A_i$ die Integrale von $l_i(x) e^{-x}$ verwendet werden. Dabei sind \begin{align*} @@ -104,7 +105,7 @@ l_i(x_j) \end{cases} % . \end{align*} -die Lagrangschen Interpolationspolynome. +die Lagrangeschen Interpolationspolynome. Laut \cite{laguerre:hildebrand2013introduction} können die Gewichte mit \begin{align*} A_i @@ -122,7 +123,9 @@ des orthogonalen Polynoms $\phi_n(x)$, $\forall i =0,\ldots,n$ und dem Normalisierungsfaktor. Wir setzen nun $\phi_n(x) = L_n(x)$ und -nutzen den Vorzeichenwechsel der Laguerre-Koeffizienten aus, +nutzen den Vorzeichenwechsel der Laguerre-Koeffizienten +(ersichtlich am Term $(-1)^k$ in \eqref{laguerre:polynom}) +aus, damit erhalten wir \begin{align*} A_i -- cgit v1.2.1