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Ergodicity for Infinite Dimensional Systems (London Mathematical Society Lecture Note Series, Series Number 229) - Softcover
Synopsis
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.
"synopsis" may belong to another edition of this title.
Book Description
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.
Review
"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
"About this title" may belong to another edition of this title.
- PublisherCambridge University Press
- Publication date1996
- ISBN 10 0521579007
- ISBN 13 9780521579001
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages352
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Ergodicity for Infinite Dimensional Systems (London Mathematical Society Lecture Note Series, Series Number 229)
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Cambridge University Press, 1996
ISBN 10: 0521579007
ISBN 13: 9780521579001
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Ergodicity for Infinite Dimensional Systems (London Mathematical Society Lecture Note Series, Series Number 229)
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Cambridge University Press, 1996
ISBN 10: 0521579007
ISBN 13: 9780521579001
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Condition: Acceptable. Used - Acceptable. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library with wear and barcode page may have been removed. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions. Seller Inventory # Z1-A-017-02294
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Ergodicity for Infinite Dimensional Systems (London Mathematical Society Lecture Note Series, Series Number 229)
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ISBN 13: 9780521579001
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Ergodicity for Infinite Dimensional Systems (London Mathematical Society Lecture Note Series, Series Number 229)
Published by
Cambridge University Press, 1996
ISBN 10: 0521579007
ISBN 13: 9780521579001
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Ergodicity for Infinite Dimensional Systems (Paperback)
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ISBN 10: 0521579007
ISBN 13: 9780521579001
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Paperback. Condition: new. Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780521579001
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Ergodicity for Infinite Dimensional Systems
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LMS: 229 Ergodicity Dimensionl Sys (London Mathematical Society Lecture Note Series)
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ISBN 13: 9780521579001
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Ergodicity for Infinite Dimensional Systems (London Mathematical Society Lecture Note Series, Series Number 229)
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ISBN 10: 0521579007
ISBN 13: 9780521579001
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Ergodicity for Infinite Dimensional Systems
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ISBN 13: 9780521579001
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Ergodicity for Infinite Dimensional Systems
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ISBN 13: 9780521579001
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This is the only book on stochastic modelling of infinite dimensional dynamical systems.InhaltsverzeichnisPart I. Markovian Dynamical Systems: 1. General dynamical systems 2. Canonical Markovian systems 3. Ergodic and mixing measur. Seller Inventory # 446940845
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