Convergence of the Euler Method of Stochastic Differential Equations with Piecewise Continuous Arguments

The main purpose of this paper is to investigate the strong convergence of the Euler method to stochastic differential equations with piecewise continuous arguments (SEPCAs). Firstly, it is proved that the Euler approximation solution converges to the analytic solution under local Lipschitz conditio...

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Main Authors: Ling Zhang, Minghui Song
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Abstract and Applied Analysis
Online Access:http://dx.doi.org/10.1155/2012/643783
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author Ling Zhang
Minghui Song
author_facet Ling Zhang
Minghui Song
author_sort Ling Zhang
collection DOAJ
description The main purpose of this paper is to investigate the strong convergence of the Euler method to stochastic differential equations with piecewise continuous arguments (SEPCAs). Firstly, it is proved that the Euler approximation solution converges to the analytic solution under local Lipschitz condition and the bounded pth moment condition. Secondly, the Euler approximation solution converge to the analytic solution is given under local Lipschitz condition and the linear growth condition. Then an example is provided to show which is satisfied with the monotone condition without the linear growth condition. Finally, the convergence of numerical solutions to SEPCAs under local Lipschitz condition and the monotone condition is established.
format Article
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institution Kabale University
issn 1085-3375
1687-0409
language English
publishDate 2012-01-01
publisher Wiley
record_format Article
series Abstract and Applied Analysis
spelling doaj-art-73818e1d9dd3484b8e38cca166b48d092025-08-20T03:33:50ZengWileyAbstract and Applied Analysis1085-33751687-04092012-01-01201210.1155/2012/643783643783Convergence of the Euler Method of Stochastic Differential Equations with Piecewise Continuous ArgumentsLing Zhang0Minghui Song1Department of Mathematics, Harbin Institute of Technology, Harbin 150001, ChinaDepartment of Mathematics, Harbin Institute of Technology, Harbin 150001, ChinaThe main purpose of this paper is to investigate the strong convergence of the Euler method to stochastic differential equations with piecewise continuous arguments (SEPCAs). Firstly, it is proved that the Euler approximation solution converges to the analytic solution under local Lipschitz condition and the bounded pth moment condition. Secondly, the Euler approximation solution converge to the analytic solution is given under local Lipschitz condition and the linear growth condition. Then an example is provided to show which is satisfied with the monotone condition without the linear growth condition. Finally, the convergence of numerical solutions to SEPCAs under local Lipschitz condition and the monotone condition is established.http://dx.doi.org/10.1155/2012/643783
spellingShingle Ling Zhang
Minghui Song
Convergence of the Euler Method of Stochastic Differential Equations with Piecewise Continuous Arguments
Abstract and Applied Analysis
title Convergence of the Euler Method of Stochastic Differential Equations with Piecewise Continuous Arguments
title_full Convergence of the Euler Method of Stochastic Differential Equations with Piecewise Continuous Arguments
title_fullStr Convergence of the Euler Method of Stochastic Differential Equations with Piecewise Continuous Arguments
title_full_unstemmed Convergence of the Euler Method of Stochastic Differential Equations with Piecewise Continuous Arguments
title_short Convergence of the Euler Method of Stochastic Differential Equations with Piecewise Continuous Arguments
title_sort convergence of the euler method of stochastic differential equations with piecewise continuous arguments
url http://dx.doi.org/10.1155/2012/643783
work_keys_str_mv AT lingzhang convergenceoftheeulermethodofstochasticdifferentialequationswithpiecewisecontinuousarguments
AT minghuisong convergenceoftheeulermethodofstochasticdifferentialequationswithpiecewisecontinuousarguments