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(1986)
A limit theorem for stochastic differential scheme with random coefficients
R. Kertz (1978)
Random Evolutions with Underlying Semi-Markov ProcessesPublications of The Research Institute for Mathematical Sciences, 14
R. Hersh (1974)
Random evolutions: A survey of results and problemsRocky Mountain Journal of Mathematics, 4
V. Anisimov (1977)
Switching processesCybernetics, 13
(1974)
A survey of results and problems, Rocky Mount
(1990)
Limit theorems for recurrent processes of semi-Markov type, Theor
(1973)
On relative compactness of the sets of probabilistic measures in £>[o,oo)PO>
I. Gihman, A. Skorohod (1974)
Stochastic Differential Equations
(1987)
Korolyuk. The evolution of systems in a semi-Markov random environment, Cybernetics
(1988)
Random, Processes with Discrete Component. Limit Theorems
(1975)
Limit theorems for random processes and their applications to discrete summation schemes, Teor
V. Anisimov (1978)
Applications of limit theorems for switching processesCybernetics, 14
Random Oper. & Stock. Equ., Vol. 1, No. 2, pp. 151-160 (1993) © VSP 1993 V. V. ANISIMOV Department of Cybernetics, Kyjiv University, Kyjiv, 252017, Ukraine Received for ROSE 15 March 1991 Abstract--The results of the averaging principle type on convergence of the trajectory of switching process to the solution of a differential equation are obtained in case switchings accumulating asymptotically. Some applications to the stochastic networks and branching processes are considered. The class of switching processes (SP) was introduced in [1--4]. The limit theorems on convergence of SP, in case the number of switchings on the considered interval of time do not increase asymptotically were studied in [3, 4], In this paper we obtain the result of the type of averaging principle on convergence of the trajectory SP to the solution of a differential equation in case switchings accumulating asymptotically. We introduce the class of S P in the following way. Let, for every positive n, the independent families 3nk = {(fn*(M,a),r nfc (x,a)): t 2 , G , R m }, k ^ 0, be given, where X is some space with the -algebra 3, £ n fc(*? £> a), t ^ 0, is a random
Random Operators and Stochastic Equations – de Gruyter
Published: Jan 1, 1993
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