Ergodicity for Infinite Dimensional Systems
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.
1100938688
Ergodicity for Infinite Dimensional Systems
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.
95.0 In Stock
Ergodicity for Infinite Dimensional Systems

Ergodicity for Infinite Dimensional Systems

by G. Da Prato, J. Zabczyk
Ergodicity for Infinite Dimensional Systems

Ergodicity for Infinite Dimensional Systems

by G. Da Prato, J. Zabczyk

Paperback

$95.00 
  • SHIP THIS ITEM
    In stock. Ships in 1-2 days.
  • PICK UP IN STORE

    Your local store may have stock of this item.

Related collections and offers


Overview

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.

Product Details

ISBN-13: 9780521579001
Publisher: Cambridge University Press
Publication date: 05/16/1996
Series: London Mathematical Society Lecture Note Series , #229
Pages: 352
Product dimensions: 5.98(w) x 8.98(h) x 0.79(d)

Table of Contents

Part I. Markovian Dynamical Systems: 1. General dynamical systems; 2. Canonical Markovian systems; 3. Ergodic and mixing measures; 4. Regular Markovian systems; Part II. Invariant Measures For Stochastics For Evolution Equations: 5. Stochastic differential equations; 6. Existence of invariant measures; 7. Uniqueness of invariant measures; 8. Densities of invariant measures; Part III. Invariant Measures For Specific Models: 9. Ornstein-Uhlenbeck processes; 10. Stochastic delay systems; 11. Reaction-diffusion equations; 12. Spin systems; 13. Systems perturbed through the boundary; 14. Burgers equation; 15. Navier-Stokes equations; Appendices.
From the B&N Reads Blog

Customer Reviews