Numerical solutions of neutral stochastic functional differential equations with Markovian switching

Abstract Until now, the theories about the convergence analysis, the almost surely and mean square exponential stability of the numerical solution for neutral stochastic functional differential equations with Markovian switching (NSFDEwMSs) have been well established, but there are very few research...

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Main Authors: Yuru Hu, Huabin Chen, Chenggui Yuan
Format: Article
Language:English
Published: SpringerOpen 2019-02-01
Series:Advances in Difference Equations
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13662-019-1957-z
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author Yuru Hu
Huabin Chen
Chenggui Yuan
author_facet Yuru Hu
Huabin Chen
Chenggui Yuan
author_sort Yuru Hu
collection DOAJ
description Abstract Until now, the theories about the convergence analysis, the almost surely and mean square exponential stability of the numerical solution for neutral stochastic functional differential equations with Markovian switching (NSFDEwMSs) have been well established, but there are very few research works concentrating on the stability in distribution of numerical solution. This paper will pay attention to the stability in distribution of numerical solution of NSFDEwMSs. The strong mean square convergence analysis is also discussed.
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spelling doaj.art-26d0fa4cc57a4f9e884edef046e50c772022-12-21T18:25:12ZengSpringerOpenAdvances in Difference Equations1687-18472019-02-012019112510.1186/s13662-019-1957-zNumerical solutions of neutral stochastic functional differential equations with Markovian switchingYuru Hu0Huabin Chen1Chenggui Yuan2Department of Mathematics, School of Sciences, Nanchang UniversityDepartment of Mathematics, School of Sciences, Nanchang UniversityDepartment of Mathematics, Swansea UniversityAbstract Until now, the theories about the convergence analysis, the almost surely and mean square exponential stability of the numerical solution for neutral stochastic functional differential equations with Markovian switching (NSFDEwMSs) have been well established, but there are very few research works concentrating on the stability in distribution of numerical solution. This paper will pay attention to the stability in distribution of numerical solution of NSFDEwMSs. The strong mean square convergence analysis is also discussed.http://link.springer.com/article/10.1186/s13662-019-1957-zEuler–Maruyama methodStability in distributionNeutral stochastic functional differential equationsMarkov chainStrong convergence
spellingShingle Yuru Hu
Huabin Chen
Chenggui Yuan
Numerical solutions of neutral stochastic functional differential equations with Markovian switching
Advances in Difference Equations
Euler–Maruyama method
Stability in distribution
Neutral stochastic functional differential equations
Markov chain
Strong convergence
title Numerical solutions of neutral stochastic functional differential equations with Markovian switching
title_full Numerical solutions of neutral stochastic functional differential equations with Markovian switching
title_fullStr Numerical solutions of neutral stochastic functional differential equations with Markovian switching
title_full_unstemmed Numerical solutions of neutral stochastic functional differential equations with Markovian switching
title_short Numerical solutions of neutral stochastic functional differential equations with Markovian switching
title_sort numerical solutions of neutral stochastic functional differential equations with markovian switching
topic Euler–Maruyama method
Stability in distribution
Neutral stochastic functional differential equations
Markov chain
Strong convergence
url http://link.springer.com/article/10.1186/s13662-019-1957-z
work_keys_str_mv AT yuruhu numericalsolutionsofneutralstochasticfunctionaldifferentialequationswithmarkovianswitching
AT huabinchen numericalsolutionsofneutralstochasticfunctionaldifferentialequationswithmarkovianswitching
AT chengguiyuan numericalsolutionsofneutralstochasticfunctionaldifferentialequationswithmarkovianswitching