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Ergodicity for Infinite Dimensional Systems Paperback: 229 (London Mathematical Society Lecture Note Series, Series Number 229) - Softcover
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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. 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.
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"In the reviewer's opinion, the monograph provides an important contribution to the theory of stochastic infinite-dimensional systems, especially to the investigation of their asymptotic behavior....Although the authors concentrate on their own results, they also have taken an important and successful step in this direction." Bohdan Maslowski, Mathematical Reviews
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Lms 229 Ergodicity Dimensionl Sys Pb editado por Cambridge
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- VerlagCambridge University Press
- Erscheinungsdatum2008
- ISBN 10 0521579007
- ISBN 13 9780521579001
- EinbandTapa blanda
- Anzahl der Seiten352
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Ergodicity for Infinite Dimensional Systems
Verlag:
Cambridge University Press
(1996)
ISBN 10: 0521579007
ISBN 13: 9780521579001
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Buchbeschreibung Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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; and 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, the authors pay special attention to the asymptotic behavior of the solutions, to invariant measures and ergodicity. The authors present some of the results found here for the first time. For all whose research interests involve stochastic modeling, dynamical systems, or ergodic theory, this book will be an essential purchase. Artikel-Nr. 9780521579001
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