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Gaussian processes on trees: from spin glasses to branching Brownian motion

By: Bovier, Anton.
Material type: materialTypeLabelBookSeries: Cambridge studies in advanced mathematics. Publisher: Delhi Cambridge university press 2017Description: x, 200 p.ISBN: 9781107160491.Subject(s): Random variables | Gaussian processes | Branching Brownian motionDDC classification: 519.23 Summary: Branching Brownian motion (BBM) is a classical object in probability theory with deep connections to partial differential equations. This book highlights the connection to classical extreme value theory and to the theory of mean-field spin glasses in statistical mechanics. Starting with a concise review of classical extreme value statistics and a basic introduction to mean-field spin glasses, the author then focuses on branching Brownian motion. Here, the classical results of Bramson on the asymptotics of solutions of the F-KPP equation are reviewed in detail and applied to the recent construction of the extremal process of BBM. The extension of these results to branching Brownian motion with variable speed are then explained. As a self-contained exposition that is accessible to graduate students with some background in probability theory, this book makes a good introduction for anyone interested in accessing this exciting field of mathematics. https://www.goodreads.com/book/show/32971791-gaussian-processes-on-trees
List(s) this item appears in: Prof. A. K. Laha
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Item type Current location Collection Call number Status Date due Barcode
Books Books Vikram Sarabhai Library
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Non Fiction 519.23 B6G2 (Browse shelf) Checked out to A K Laha (F20850) 24/01/2018 194406

Table of Contents:


1.Extreme value theory for iid sequences
2.Extremal processes
3.Normal sequences
4.Spin glasses
5.Branching Brownian motion
6.Bramson's analysis of the F-KPP equation
7.The extremal process of BBM
8.Full extremal process
9.Variable speed BBM.

Branching Brownian motion (BBM) is a classical object in probability theory with deep connections to partial differential equations. This book highlights the connection to classical extreme value theory and to the theory of mean-field spin glasses in statistical mechanics. Starting with a concise review of classical extreme value statistics and a basic introduction to mean-field spin glasses, the author then focuses on branching Brownian motion. Here, the classical results of Bramson on the asymptotics of solutions of the F-KPP equation are reviewed in detail and applied to the recent construction of the extremal process of BBM. The extension of these results to branching Brownian motion with variable speed are then explained. As a self-contained exposition that is accessible to graduate students with some background in probability theory, this book makes a good introduction for anyone interested in accessing this exciting field of mathematics.


https://www.goodreads.com/book/show/32971791-gaussian-processes-on-trees



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