
doi: 10.1007/bf02486614
Summary: Problems of the singular perturbation of reducible invertible operators are classified and their applications to the analysis of stochastic Markov systems represented by random evolutions are considered. The phase merging, averaging, and diffusion approximation schemes are discussed for dynamical systems with rapid Markov switchings.
stochastic Markov systems, averaging, Functional limit theorems; invariance principles, Perturbation theory of linear operators, One-parameter semigroups and linear evolution equations, Ordinary differential equations and systems with randomness, stochastic systems, diffusion approximation, singularly perturbed stochastic systems, Nonlinear differential equations in abstract spaces, ????????????, Stochastic integral equations, Singular perturbations for ordinary differential equations, diffusion approximation schemes, Continuous-time Markov processes on general state spaces, phase merging, singular perturbations, Markov switchings, random evolutions, Ergodic theory of linear operators, Generation, random and stochastic difference and differential equations, reducible invertible operators, Singular perturbations of ordinary differential equations
stochastic Markov systems, averaging, Functional limit theorems; invariance principles, Perturbation theory of linear operators, One-parameter semigroups and linear evolution equations, Ordinary differential equations and systems with randomness, stochastic systems, diffusion approximation, singularly perturbed stochastic systems, Nonlinear differential equations in abstract spaces, ????????????, Stochastic integral equations, Singular perturbations for ordinary differential equations, diffusion approximation schemes, Continuous-time Markov processes on general state spaces, phase merging, singular perturbations, Markov switchings, random evolutions, Ergodic theory of linear operators, Generation, random and stochastic difference and differential equations, reducible invertible operators, Singular perturbations of ordinary differential equations
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