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The lace expansion and its applications : Ecole d'Eté de Probabilités de Saint-Flour XXXIV-2004 Titelvorschau
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The lace expansion and its applications : Ecole d'Eté de Probabilités de Saint-Flour XXXIV-2004

Verfasser/in: Ecole d'été de probabilités de Saint-Flour; Gordon Douglas Slade; Jean Picard
Verlag: Berlin ; New York : Springer, ©2006.
Serien: Lecture notes in mathematics (Springer-Verlag), 1879.
Ausgabe/Format   E-Book : Dokument : EnglischAlle Ausgaben und Formate anzeigen
Datenbank:WorldCat
Zusammenfassung:
The lace expansion is a powerful and flexible method for understanding the critical scaling of several models of interest in probability, statistical mechanics, and combinatorics, above their upper critical dimensions. These models include the self-avoiding walk, lattice trees and lattice animals, percolation, oriented percolation, and the contact process. This volume provides a unified and extensive overview of the  Weiterlesen…
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Gattung/Form: Electronic books
Conference papers and proceedings
Congresses
Medientyp: Dokument, Internetquelle
Dokumenttyp: Internet-Ressource, Computer-Datei
Alle Autoren: Ecole d'été de probabilités de Saint-Flour; Gordon Douglas Slade; Jean Picard
ISBN: 3540311890 9783540311898 3540355189 9783540355182
OCLC-Nummer: 228394503
Beschreibung: 1 online resource (xiii, 228 pages) : illustrations.
Inhalt: Simple Random Walk --
The Self-Avoiding Walk --
The Lace Expansion for the Self-Avoiding Walk --
Diagrammatic Estimates for the Self-Avoiding Walk --
Convergence for the Self-Avoiding Walk --
Further Results for the Self-Avoiding Walk --
Lattice Trees --
The Lace Expansion for Lattice Trees --
Percolation --
The Expansion for Percolation --
Results for Percolation --
Oriented Percolation --
Expansions for Oriented Percolation --
The Contact Process --
Branching Random Walk --
Integrated Super-Brownian Excursion --
Super-Brownian Motion.
Serientitel: Lecture notes in mathematics (Springer-Verlag), 1879.
Verfasserangabe: G. Slade ; editor, Jean Picard.
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Abstract:

The lace expansion is a method for understanding the scaling of several models in probability, statistical mechanics and combinatorics, such as the self-avoiding walk, lattice trees and lattice  Weiterlesen…

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