Lectures on Dynamics of Stochastic Systems
eBook - ePub

Lectures on Dynamics of Stochastic Systems

  1. 410 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Lectures on Dynamics of Stochastic Systems

Book details
Table of contents
Citations

About This Book

Fluctuating parameters appear in a variety of physical systems and phenomena. They typically come either as random forces/sources, or advecting velocities, or media (material) parameters, like refraction index, conductivity, diffusivity, etc. Models naturally render to statistical description, where random processes and fields express the input parameters and solutions. The fundamental problem of stochastic dynamics is to identify the essential characteristics of the system (its state and evolution), and relate those to the input parameters of the system and initial data.

This book is a revised and more comprehensive version of Dynamics of Stochastic Systems. Part I provides an introduction to the topic. Part II is devoted to the general theory of statistical analysis of dynamic systems with fluctuating parameters described by differential and integral equations. Part III deals with the analysis of specific physical problems associated with coherent phenomena.

  • A comprehensive update of Dynamics of Stochastic Systems
  • Develops mathematical tools of stochastic analysis and applies them to a wide range of physical models of particles, fluids and waves
  • Includes problems for the reader to solve

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Yes, you can access Lectures on Dynamics of Stochastic Systems by Valery I. Klyatskin in PDF and/or ePUB format, as well as other popular books in Ciencias físicas & Física matemática y computacional. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Elsevier
Year
2010
ISBN
9780123849670

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright page
  5. Preface
  6. Introduction
  7. Part I: Dynamical Description of Stochastic Systems
  8. Part II: Statistical Description of Stochastic Systems
  9. Part III: Examples of Coherent Phenomena in Stochastic Dynamic Systems
  10. References