Numerical Solutions of Stochastic Differential Equations Driven by Poisson Random Measure with Non-Lipschitz Coefficients

The numerical methods in the current known literature require the stochastic differential equations (SDEs) driven by Poisson random measure satisfying the global Lipschitz condition and the linear growth condition. In this paper, Euler's method is introduced for SDEs driven by Poisson random me...

Full description

Saved in:
Bibliographic Details
Main Authors: Hui Yu, Minghui Song
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2012/675781
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832551396951457792
author Hui Yu
Minghui Song
author_facet Hui Yu
Minghui Song
author_sort Hui Yu
collection DOAJ
description The numerical methods in the current known literature require the stochastic differential equations (SDEs) driven by Poisson random measure satisfying the global Lipschitz condition and the linear growth condition. In this paper, Euler's method is introduced for SDEs driven by Poisson random measure with non-Lipschitz coefficients which cover more classes of such equations than before. The main aim is to investigate the convergence of the Euler method in probability to such equations with non-Lipschitz coefficients. Numerical example is given to demonstrate our results.
format Article
id doaj-art-6ad68febab3a401987e5ad87ba024f1d
institution Kabale University
issn 1110-757X
1687-0042
language English
publishDate 2012-01-01
publisher Wiley
record_format Article
series Journal of Applied Mathematics
spelling doaj-art-6ad68febab3a401987e5ad87ba024f1d2025-02-03T06:01:30ZengWileyJournal of Applied Mathematics1110-757X1687-00422012-01-01201210.1155/2012/675781675781Numerical Solutions of Stochastic Differential Equations Driven by Poisson Random Measure with Non-Lipschitz CoefficientsHui Yu0Minghui Song1Department of Mathematics, Harbin Institute of Technology, Harbin 150001, ChinaDepartment of Mathematics, Harbin Institute of Technology, Harbin 150001, ChinaThe numerical methods in the current known literature require the stochastic differential equations (SDEs) driven by Poisson random measure satisfying the global Lipschitz condition and the linear growth condition. In this paper, Euler's method is introduced for SDEs driven by Poisson random measure with non-Lipschitz coefficients which cover more classes of such equations than before. The main aim is to investigate the convergence of the Euler method in probability to such equations with non-Lipschitz coefficients. Numerical example is given to demonstrate our results.http://dx.doi.org/10.1155/2012/675781
spellingShingle Hui Yu
Minghui Song
Numerical Solutions of Stochastic Differential Equations Driven by Poisson Random Measure with Non-Lipschitz Coefficients
Journal of Applied Mathematics
title Numerical Solutions of Stochastic Differential Equations Driven by Poisson Random Measure with Non-Lipschitz Coefficients
title_full Numerical Solutions of Stochastic Differential Equations Driven by Poisson Random Measure with Non-Lipschitz Coefficients
title_fullStr Numerical Solutions of Stochastic Differential Equations Driven by Poisson Random Measure with Non-Lipschitz Coefficients
title_full_unstemmed Numerical Solutions of Stochastic Differential Equations Driven by Poisson Random Measure with Non-Lipschitz Coefficients
title_short Numerical Solutions of Stochastic Differential Equations Driven by Poisson Random Measure with Non-Lipschitz Coefficients
title_sort numerical solutions of stochastic differential equations driven by poisson random measure with non lipschitz coefficients
url http://dx.doi.org/10.1155/2012/675781
work_keys_str_mv AT huiyu numericalsolutionsofstochasticdifferentialequationsdrivenbypoissonrandommeasurewithnonlipschitzcoefficients
AT minghuisong numericalsolutionsofstochasticdifferentialequationsdrivenbypoissonrandommeasurewithnonlipschitzcoefficients