The stochastic θ method for stationary distribution of stochastic differential equations with Markovian switching

Abstract In this paper, stationary distribution of stochastic differential equations (SDEs) with Markovian switching is approximated by numerical solutions generated by the stochastic θ method. We prove the existence and uniqueness of stationary distribution of the numerical solutions firstly. Then,...

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Main Authors: Yanan Jiang, Liangjian Hu, Jianqiu Lu
Format: Article
Language:English
Published: SpringerOpen 2020-11-01
Series:Advances in Difference Equations
Subjects:
Online Access:https://doi.org/10.1186/s13662-020-03129-3
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spelling doaj-58e90f7d1ad54247bbb1bdb4d10201912020-11-29T12:20:28ZengSpringerOpenAdvances in Difference Equations1687-18472020-11-012020112510.1186/s13662-020-03129-3The stochastic θ method for stationary distribution of stochastic differential equations with Markovian switchingYanan Jiang0Liangjian Hu1Jianqiu Lu2College of Information Science and Technology, Donghua UniversityDepartment of Statistics, Donghua UniversityDepartment of Statistics, Donghua UniversityAbstract In this paper, stationary distribution of stochastic differential equations (SDEs) with Markovian switching is approximated by numerical solutions generated by the stochastic θ method. We prove the existence and uniqueness of stationary distribution of the numerical solutions firstly. Then, the convergence of numerical stationary distribution to the underlying one is discussed. Numerical simulations are conducted to support the theoretical results.https://doi.org/10.1186/s13662-020-03129-3Stochastic θ methodSDEs with Markovian switchingNumerical solutionsStationary distribution
collection DOAJ
language English
format Article
sources DOAJ
author Yanan Jiang
Liangjian Hu
Jianqiu Lu
spellingShingle Yanan Jiang
Liangjian Hu
Jianqiu Lu
The stochastic θ method for stationary distribution of stochastic differential equations with Markovian switching
Advances in Difference Equations
Stochastic θ method
SDEs with Markovian switching
Numerical solutions
Stationary distribution
author_facet Yanan Jiang
Liangjian Hu
Jianqiu Lu
author_sort Yanan Jiang
title The stochastic θ method for stationary distribution of stochastic differential equations with Markovian switching
title_short The stochastic θ method for stationary distribution of stochastic differential equations with Markovian switching
title_full The stochastic θ method for stationary distribution of stochastic differential equations with Markovian switching
title_fullStr The stochastic θ method for stationary distribution of stochastic differential equations with Markovian switching
title_full_unstemmed The stochastic θ method for stationary distribution of stochastic differential equations with Markovian switching
title_sort stochastic θ method for stationary distribution of stochastic differential equations with markovian switching
publisher SpringerOpen
series Advances in Difference Equations
issn 1687-1847
publishDate 2020-11-01
description Abstract In this paper, stationary distribution of stochastic differential equations (SDEs) with Markovian switching is approximated by numerical solutions generated by the stochastic θ method. We prove the existence and uniqueness of stationary distribution of the numerical solutions firstly. Then, the convergence of numerical stationary distribution to the underlying one is discussed. Numerical simulations are conducted to support the theoretical results.
topic Stochastic θ method
SDEs with Markovian switching
Numerical solutions
Stationary distribution
url https://doi.org/10.1186/s13662-020-03129-3
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