Large Deviations for Random Graphs

Lieferzeit: Lieferbar innerhalb 14 Tagen

85,59 

École d’Été de Probabilités de Saint-Flour XLV – 2015, Lecture Notes in Mathematics 2197 – École d’Été de Probabilités de Saint-Flour

ISBN: 3319658158
ISBN 13: 9783319658155
Autor: Chatterjee, Sourav
Verlag: Springer Verlag GmbH
Umfang: xi, 170 S.
Erscheinungsdatum: 02.09.2017
Auflage: 1/2018
Produktform: Kartoniert
Einband: Kartoniert

This book addresses the emerging body of literature on the study of rare events in random graphs and networks. For example, what does a random graph look like if by chance it has far more triangles than expected? Until recently, probability theory offered no tools to help answer such questions. Important advances have been made in the last few years, employing tools from the newly developed theory of graph limits. This work represents the first book-length treatment of this area, while also exploring the related area of exponential random graphs. All required results from analysis, combinatorics, graph theory and classical large deviations theory are developed from scratch, making the text self-contained and doing away with the need to look up external references. Further, the book is written in a format and style that are accessible for beginning graduate students in mathematics and statistics.

Beschreibung

First book-length treatment of large deviations for random graphs, plus a chapter on exponential random graphs Contains a summary of important results from graph limit theory with complete proofs Written in a style for beginning graduate students, self-contained with essentially no need for background knowledge other than some amount of graduate probability and analysis

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Springer Verlag GmbH
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E-Mail: juergen.hartmann@springer.com

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