Weak convergence of semi-Markov random evolutions in an averaging scheme (martingale approach)

1989 ◽  
Vol 41 (12) ◽  
pp. 1450-1456 ◽  
Author(s):  
A. V. Svishchuk

2012 ◽  
Vol 2012 ◽  
pp. 1-19
Author(s):  
Igor V. Samoilenko

We study Markov symmetrical and nonsymmetrical random evolutions in Rn. Weak convergence of Markov symmetrical random evolution to Wiener process and of Markov non-symmetrical random evolution to a diffusion process with drift is proved using problems of singular perturbation for the generators of evolutions. Relative compactness in DRn×Θ[0,∞) of the families of Markov random evolutions is also shown.



1989 ◽  
Vol 41 (8) ◽  
pp. 912-918
Author(s):  
V. S. Korolyuk ◽  
A. V. Svishchuk


1989 ◽  
Vol 41 (11) ◽  
pp. 1267-1274 ◽  
Author(s):  
V. S. Korolyuk ◽  
A. V. Svishchuk






Mathematics ◽  
2020 ◽  
Vol 8 (6) ◽  
pp. 963
Author(s):  
Nikolaos Limnios ◽  
Anatoliy Swishchuk

This paper deals with discrete-time semi-Markov random evolutions (DTSMRE) in reduced random media. The reduction can be done for ergodic and non ergodic media. Asymptotic approximations of random evolutions living in reducible random media (random environment) are obtained. Namely, averaging, diffusion approximation and normal deviation or diffusion approximation with equilibrium by martingale weak convergence method are obtained. Applications of the above results to the additive functionals and dynamical systems in discrete-time produce the above tree types of asymptotic results.



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