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Semi-Markov Random Evolutions

✍ Scribed by V. Korolyuk, A. Swishchuk (auth.)


Publisher
Springer Netherlands
Year
1995
Tongue
English
Leaves
314
Series
Mathematics and Its Applications 308
Edition
1
Category
Library

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✦ Synopsis


The evolution of systems in random media is a broad and fruitful field for the applicaΒ­ tions of different mathematical methods and theories. This evolution can be characterΒ­ ized by a semigroup property. In the abstract form, this property is given by a semigroup of operators in a normed vector (Banach) space. In the practically boundless variety of mathematical models of the evolutionary systems, we have chosen the semi-Markov ranΒ­ dom evolutions as an object of our consideration. The definition of the evolutions of this type is based on rather simple initial assumptions. The random medium is described by the Markov renewal processes or by the semiΒ­ Markov processes. The local characteristics of the system depend on the state of the ranΒ­ dom medium. At the same time, the evolution of the system does not affect the medium. Hence, the semi-Markov random evolutions are described by two processes, namely, by the switching Markov renewal process, which describes the changes of the state of the external random medium, and by the switched process, i.e., by the semigroup of operΒ­ ators describing the evolution of the system in the semi-Markov random medium.

✦ Table of Contents


Front Matter....Pages i-x
Introduction....Pages 1-6
Markov Renewal Processes....Pages 7-26
Phase Merging of Semi-Markov Processes....Pages 27-58
Semi-Markov Random Evolutions....Pages 59-91
Algorithms of Phase Averaging for Semi-Markov Random Evolutions....Pages 93-116
Compactness of Semi-Markov Random Evolutions in the Averaging Scheme....Pages 117-143
Limiting Representations for Semi-Markov Random Evolutions in the Averaging Scheme....Pages 145-173
Compactness of Semi-Markov Random Evolutions in the Diffusion Approximation....Pages 175-206
Stochastic Integral Limiting Representations of Semi-Markov Random Evolutions in the Diffusion Approximation....Pages 207-236
Application of the Limit Theorems to Semi-Markov Random Evolutions in the Averaging Scheme....Pages 237-263
Application of the Diffusion Approximation of Semi-Markov Random Evolutions to Stochastic Systems in Random Media....Pages 265-276
Double Approximation of Random Evolutions....Pages 277-288
Back Matter....Pages 289-310

✦ Subjects


Statistics, general; Probability Theory and Stochastic Processes; Integral Equations; Operator Theory; Functional Analysis; Systems Theory, Control


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