Discrete-Time Semi-Markov Random Evolutions in Asymptotic Reduced Random Media with Applications

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, diffu...

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Main Authors: Nikolaos Limnios, Anatoliy Swishchuk
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/8/6/963
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author Nikolaos Limnios
Anatoliy Swishchuk
author_facet Nikolaos Limnios
Anatoliy Swishchuk
author_sort Nikolaos Limnios
collection DOAJ
description 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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spelling doaj.art-caeab0373b3f4a4eab5c9de2f676df932023-11-20T03:35:02ZengMDPI AGMathematics2227-73902020-06-018696310.3390/math8060963Discrete-Time Semi-Markov Random Evolutions in Asymptotic Reduced Random Media with ApplicationsNikolaos Limnios0Anatoliy Swishchuk1Sorbonne University Alliance, Université de Technologie de Compiègne, 60203 Compiègne, FranceDepartment of Mathematics and Statistics, Faculty of Science, University of Calgary, Calgary, AB T2N 1N4, CanadaThis 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.https://www.mdpi.com/2227-7390/8/6/963semi-Markov chainrandom evolutionrandom mediareduced mediaaveragingdiffusion approximation
spellingShingle Nikolaos Limnios
Anatoliy Swishchuk
Discrete-Time Semi-Markov Random Evolutions in Asymptotic Reduced Random Media with Applications
Mathematics
semi-Markov chain
random evolution
random media
reduced media
averaging
diffusion approximation
title Discrete-Time Semi-Markov Random Evolutions in Asymptotic Reduced Random Media with Applications
title_full Discrete-Time Semi-Markov Random Evolutions in Asymptotic Reduced Random Media with Applications
title_fullStr Discrete-Time Semi-Markov Random Evolutions in Asymptotic Reduced Random Media with Applications
title_full_unstemmed Discrete-Time Semi-Markov Random Evolutions in Asymptotic Reduced Random Media with Applications
title_short Discrete-Time Semi-Markov Random Evolutions in Asymptotic Reduced Random Media with Applications
title_sort discrete time semi markov random evolutions in asymptotic reduced random media with applications
topic semi-Markov chain
random evolution
random media
reduced media
averaging
diffusion approximation
url https://www.mdpi.com/2227-7390/8/6/963
work_keys_str_mv AT nikolaoslimnios discretetimesemimarkovrandomevolutionsinasymptoticreducedrandommediawithapplications
AT anatoliyswishchuk discretetimesemimarkovrandomevolutionsinasymptoticreducedrandommediawithapplications