Nonlinearly perturbed stochastic processes

Dmitrii  Silvestrov

Mälardalen University, School of Education, Culture, and Communication, Box 883, SE-72214, Välsterås, Sweden

Аннотация: This paper is a survey of results presented in the recent book [25]. This book is devoted to studies of quasi-stationary phenomena in nonlinearly perturbed stochastic systems. New methods of asymptotic analysis for nonlinearly perturbed stochastic processes based on new types of asymptotic expansions for perturbed renewal equation and recurrence algorithms for construction of asymptotic expansions for Markov type processes with absorption are presented. Asymptotic expansions are given in mixed ergodic (for processes) and large deviation theorems (for absorption times) for nonlinearly perturbed regenerative processes, semi-Markov processes, and Markov chains. Applications to analysis of quasi-stationary phenomena in nonlinearly perturbed queueing systems, population dynamics and epidemic models, and risk processes are presented. The book also contains an extended bibliography of works in the area.

Ключевые слова: Nonlinear perturbation, quasi-stationary phenomenon, pseudo-stationary phenomenon, stochastic system, renewal equation, asymptotic expansion, ergodic theorem, limit theorem, large deviation, regenerative process, regenerative stopping time, semi-Markov process, Markov chain, absorption time, queueing system, population dynamics, epidemic model, lifetime, risk process, ruin probability, Cramér-Lundberg approximation, diffusion approximation.

MSC: Primary 60F05, 60F10; 60K05, 60K15; Secondary 60J22, 60J27, 60K20, 60K25, 65C40

Язык публикации: английский

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