Fluctuations in Markov Processes: Time Symmetry and Martingale Approximation

This document was uploaded by one of our users. The uploader already confirmed that they had the permission to publish it. If you are author/publisher or own the copyright of this documents, please report to us by using this DMCA report form.

Simply click on the Download Book button.

Yes, Book downloads on Ebookily are 100% Free.

Sometimes the book is free on Amazon As well, so go ahead and hit "Search on Amazon"

The present volume contains the most advanced theories on the martingale approach to central limit theorems. Using the time symmetry properties of the Markov processes, the book develops the techniques that allow us to deal with infinite dimensional models that appear in statistical mechanics and engineering (interacting particle systems, homogenization in random environments, and diffusion in turbulent flows, to mention just a few applications). The first part contains a detailed exposition of the method, and can be used as a text for graduate courses. The second concerns application to exclusion processes, in which the duality methods are fully exploited. The third part is about the homogenization of diffusions in random fields, including passive tracers in turbulent flows (including the superdiffusive behavior).

There are no other books in the mathematical literature that deal with this kind of approach to the problem of the central limit theorem. Hence, this volume meets the demand for a monograph on this powerful approach, now widely used in many areas of probability and mathematical physics. The book also covers the connections with and application to hydrodynamic limits and homogenization theory, so besides probability researchers it will also be of interest also to mathematical physicists and analysts.

Author(s): Tomasz Komorowski, Claudio Landim, Stefano Olla (auth.)
Series: Grundlehren der mathematischen Wissenschaften 345
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2012

Language: English
Pages: 494
Tags: Probability Theory and Stochastic Processes; Mathematical Physics

Front Matter....Pages I-XVII
Front Matter....Pages 1-1
A Warming-Up Example....Pages 3-32
Central Limit Theorems....Pages 33-79
Random Walks in Random Environment....Pages 81-135
Bounds and Variational Principles for the Asymptotic Variance....Pages 137-151
Front Matter....Pages 153-153
The Simple Exclusion Process....Pages 155-197
Self-diffusion....Pages 199-240
Equilibrium Fluctuations of the Density Field....Pages 241-274
Regularity of the Asymptotic Variance....Pages 275-289
Front Matter....Pages 291-291
Diffusions in Random Environments....Pages 293-329
Variational Principles for the Limiting Variance....Pages 331-343
Diffusions with Divergence Free Drifts....Pages 345-373
Diffusions with Gaussian Drifts....Pages 375-435
Ornstein–Uhlenbeck Process with a Random Potential....Pages 437-454
Analytic Methods in Homogenization Theory....Pages 455-473
Back Matter....Pages 475-491