An initiation to logarithmic Sobolev inequalities

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This book provides an introduction to logarithmic Sobolev inequalities with some important applications to mathematical statistical physics. Royer begins by gathering and reviewing the necessary background material on selfadjoint operators, semigroups, Kolmogorov diffusion processes, solutions of stochastic differential equations, and certain other related topics. There then is a chapter on log Sobolev inequalities with an application to a strong ergodicity theorem for Kolmogorov diffusion processes. The remaining two chapters consider the general setting for Gibbs measures including existence and uniqueness issues, the Ising model with real spins and the application of log Sobolev inequalities to show the stabilization of the Glauber-Langevin dynamic stochastic models for the Ising model with real spins. The exercises and complements extend the material in the main text to related areas such as Markov chains. Titles in this series are co-published with Société Mathématique de France. SMF members are entitled to AMS member discounts.

Author(s): Gilles Royer
Series: SMF/AMS Texts & Monographs Smf/Ams Monographs
Publisher: AMS
Year: 2007

Language: English
Pages: 130

Cover......Page 1
Title Page......Page 4
Copyright......Page 5
Contents......Page 6
Preface......Page 8
1.1. Symmetric operators......Page 10
1.2. Spectral decomposition of self-adjoint operators......Page 17
2.1. Semi-groups of self-adjoint operators......Page 24
2.2. Kolmogorov semi-groups......Page 28
3.1. The Poincare and Gross inequalities......Page 46
3.2. An application to ergodicity......Page 64
4.1. Generalities......Page 74
4.2. An Ising model with real spin......Page 82
5.1. The Gross inequality and stabilization......Page 98
5.2. The case of weak interactions......Page 104
5.3. Perspectives......Page 110
A.1. Markovian kernels......Page 114
A.2. Bounded real measures......Page 118
A.3. The topology of weak convergence......Page 120
Bibliography......Page 126