Random Perturbations of Dynamical Systems

  • M. I. Freidlin
  • A. D. Wentzell

Part of the Grundlehren der mathematischen Wissenschaften book series (GL, volume 260)

Table of contents

  1. Front Matter
    Pages i-xi
  2. M. I. Freidlin, A. D. Wentzell
    Pages 1-14
  3. M. I. Freidlin, A. D. Wentzell
    Pages 15-43
  4. M. I. Freidlin, A. D. Wentzell
    Pages 44-69
  5. M. I. Freidlin, A. D. Wentzell
    Pages 70-102
  6. M. I. Freidlin, A. D. Wentzell
    Pages 136-160
  7. M. I. Freidlin, A. D. Wentzell
    Pages 161-211
  8. M. I. Freidlin, A. D. Wentzell
    Pages 283-360
  9. M. I. Freidlin, A. D. Wentzell
    Pages 361-376
  10. M. I. Freidlin, A. D. Wentzell
    Pages 377-416
  11. Back Matter
    Pages 417-432

About this book


The first edition of this book was published in 1979 in Russian. Most of the material presented was related to large-deviation theory for stochastic pro­ cesses. This theory was developed more or less at the same time by different authors in different countries. This book was the first monograph in which large-deviation theory for stochastic processes was presented. Since then a number of books specially dedicated to large-deviation theory have been pub­ lished, including S. R. S. Varadhan [4], A. D. Wentzell [9], J. -D. Deuschel and D. W. Stroock [1], A. Dembo and O. Zeitouni [1]. Just a few changes were made for this edition in the part where large deviations are treated. The most essential is the addition of two new sections in the last chapter. Large deviations for infinite-dimensional systems are briefly conside:red in one new section, and the applications of large-deviation theory to wave front prop­ agation for reaction-diffusion equations are considered in another one. Large-deviation theory is not the only class of limit theorems arising in the context of random perturbations of dynamical systems. We therefore included in the second edition a number of new results related to the aver­ aging principle. Random perturbations of classical dynamical systems under certain conditions lead to diffusion processes on graphs. Such problems are considered in the new Chapter 8.


Boundary value problem Markov process Power dynamical systems stochastic processes

Authors and affiliations

  • M. I. Freidlin
    • 1
  • A. D. Wentzell
    • 2
  1. 1.Department of MathematicsUniversity of MarylandCollege ParkUSA
  2. 2.Department of MathematicsTulane UniversityNew OrleansUSA

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media New York 1998
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-6839-0
  • Online ISBN 978-1-4612-0611-8
  • Series Print ISSN 0072-7830
  • Buy this book on publisher's site