Random Evolutions and Their Applications by Anatoly Swishchuk

Random Evolutions and Their Applications

byAnatoly Swishchuk

Paperback | October 12, 2012

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The main purpose of this handbook is to summarize and to put in order the ideas, methods, results and literature on the theory of random evolutions and their applications to the evolutionary stochastic systems in random media, and also to present some new trends in the theory of random evolutions and their applications. In physical language, a random evolution ( RE ) is a model for a dynamical sys­ tem whose state of evolution is subject to random variations. Such systems arise in all branches of science. For example, random Hamiltonian and Schrodinger equations with random potential in quantum mechanics, Maxwell''s equation with a random refractive index in electrodynamics, transport equations associated with the trajec­ tory of a particle whose speed and direction change at random, etc. There are the examples of a single abstract situation in which an evolving system changes its "mode of evolution" or "law of motion" because of random changes of the "environment" or in a "medium". So, in mathematical language, a RE is a solution of stochastic operator integral equations in a Banach space. The operator coefficients of such equations depend on random parameters. Of course, in such generality , our equation includes any homogeneous linear evolving system. Particular examples of such equations were studied in physical applications many years ago. A general mathematical theory of such equations has been developed since 1969, the Theory of Random Evolutions.
Title:Random Evolutions and Their ApplicationsFormat:PaperbackProduct dimensions:183 pages, 24 X 16 X 0 inShipping dimensions:183 pages, 24 X 16 X 0 inPublished:October 12, 2012Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:940106427X

ISBN - 13:9789401064279

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Table of Contents

Preface. List of Notations. Introduction. 1. Multiplicative Operator Functionals. 2. Random Evolutions. 3. Limit Theorems for Random Evolutions. 4. Applications of Evolutionary Stochastic Systems. 5. New Trends in Random Evolutions. Bibliography. Index.