Input-to-State Stability of Linear Stochastic Functional Differential Equations

The purpose of the paper is to show how asymptotic properties, first of all stochastic Lyapunov stability, of linear stochastic functional differential equations can be studied via the property of solvability of the equation in certain pairs of spaces of stochastic processes, the property which we c...

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Main Authors: Ramazan Kadiev, Arcady Ponosov
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:Journal of Function Spaces
Online Access:http://dx.doi.org/10.1155/2016/8901563
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author Ramazan Kadiev
Arcady Ponosov
author_facet Ramazan Kadiev
Arcady Ponosov
author_sort Ramazan Kadiev
collection DOAJ
description The purpose of the paper is to show how asymptotic properties, first of all stochastic Lyapunov stability, of linear stochastic functional differential equations can be studied via the property of solvability of the equation in certain pairs of spaces of stochastic processes, the property which we call input-to-state stability with respect to these spaces. Input-to-state stability and hence the desired asymptotic properties can be effectively verified by means of a special regularization, also known as “the W-method” in the literature. How this framework provides verifiable conditions of different kinds of stochastic stability is shown.
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institution Kabale University
issn 2314-8896
2314-8888
language English
publishDate 2016-01-01
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record_format Article
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spelling doaj-art-ab2f8dfded764bfab53c38dca3a7136c2025-02-03T06:42:15ZengWileyJournal of Function Spaces2314-88962314-88882016-01-01201610.1155/2016/89015638901563Input-to-State Stability of Linear Stochastic Functional Differential EquationsRamazan Kadiev0Arcady Ponosov1Dagestan Research Center, The Russian Academy of Sciences and Department of Mathematics, Dagestan State University, Makhachkala 367005, RussiaDepartment of Mathematical Sciences and Technology, Norwegian University of Life Sciences, P.O. Box 5003, 1432 Ås, NorwayThe purpose of the paper is to show how asymptotic properties, first of all stochastic Lyapunov stability, of linear stochastic functional differential equations can be studied via the property of solvability of the equation in certain pairs of spaces of stochastic processes, the property which we call input-to-state stability with respect to these spaces. Input-to-state stability and hence the desired asymptotic properties can be effectively verified by means of a special regularization, also known as “the W-method” in the literature. How this framework provides verifiable conditions of different kinds of stochastic stability is shown.http://dx.doi.org/10.1155/2016/8901563
spellingShingle Ramazan Kadiev
Arcady Ponosov
Input-to-State Stability of Linear Stochastic Functional Differential Equations
Journal of Function Spaces
title Input-to-State Stability of Linear Stochastic Functional Differential Equations
title_full Input-to-State Stability of Linear Stochastic Functional Differential Equations
title_fullStr Input-to-State Stability of Linear Stochastic Functional Differential Equations
title_full_unstemmed Input-to-State Stability of Linear Stochastic Functional Differential Equations
title_short Input-to-State Stability of Linear Stochastic Functional Differential Equations
title_sort input to state stability of linear stochastic functional differential equations
url http://dx.doi.org/10.1155/2016/8901563
work_keys_str_mv AT ramazankadiev inputtostatestabilityoflinearstochasticfunctionaldifferentialequations
AT arcadyponosov inputtostatestabilityoflinearstochasticfunctionaldifferentialequations