Ergodicity for infinite dimensional systems /

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Bibliographic Details
Author / Creator:Da Prato, Giuseppe.
Imprint:Cambridge ; New York : Cambridge University Press, 1996.
Description:xi, 339 p. ; 23 cm.
Language:English
Series:London Mathematical Society lecture note series. 229
Subject:
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/2723206
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Other authors / contributors:Zabczyk, Jerzy.
ISBN:0521579007 (pbk.)
Notes:Includes bibliographical references (p. 321-337) and index.
Description
Summary:This book is devoted to the asymptotic properties of solutions of stochastic evolution equations in infinite dimensional spaces. It is divided into three parts: Markovian dynamical systems; invariant measures for stochastic evolution equations; invariant measures for specific models. The focus is on models of dynamical processes affected by white noise, which are described by partial differential equations such as the reaction-diffusion equations or Navier-Stokes equations. Besides existence and uniqueness questions, special attention is paid to the asymptotic behaviour of the solutions, to invariant measures and ergodicity. Some of the results found here are presented for the first time. For all whose research interests involve stochastic modelling, dynamical systems, or ergodic theory, this book will be an essential purchase.
Physical Description:xi, 339 p. ; 23 cm.
Bibliography:Includes bibliographical references (p. 321-337) and index.
ISBN:0521579007