Almost Surely Exponential Stability of Numerical Solutions for Stochastic Pantograph Equations

Our effort is to develop a criterion on almost surely exponential stability of numerical solution to stochastic pantograph differential equations, with the help of the discrete semimartingale convergence theorem and the technique used in stable analysis of the exact solution. We will prove that the...

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Main Author: Shaobo Zhou
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Abstract and Applied Analysis
Online Access:http://dx.doi.org/10.1155/2014/751209
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author Shaobo Zhou
author_facet Shaobo Zhou
author_sort Shaobo Zhou
collection DOAJ
description Our effort is to develop a criterion on almost surely exponential stability of numerical solution to stochastic pantograph differential equations, with the help of the discrete semimartingale convergence theorem and the technique used in stable analysis of the exact solution. We will prove that the Euler-Maruyama (EM) method can preserve almost surely exponential stability of stochastic pantograph differential equations under the linear growth conditions. And the backward EM method can reproduce almost surely exponential stability for highly nonlinear stochastic pantograph differential equations. A highly nonlinear example is provided to illustrate the main theory.
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institution Kabale University
issn 1085-3375
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publishDate 2014-01-01
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spelling doaj-art-0c7109e25447493a98213250c6762b542025-02-03T01:12:34ZengWileyAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/751209751209Almost Surely Exponential Stability of Numerical Solutions for Stochastic Pantograph EquationsShaobo Zhou0School of Mathematics and Statistics, Huazhong University of Science and Technology, Wuhan 430074, ChinaOur effort is to develop a criterion on almost surely exponential stability of numerical solution to stochastic pantograph differential equations, with the help of the discrete semimartingale convergence theorem and the technique used in stable analysis of the exact solution. We will prove that the Euler-Maruyama (EM) method can preserve almost surely exponential stability of stochastic pantograph differential equations under the linear growth conditions. And the backward EM method can reproduce almost surely exponential stability for highly nonlinear stochastic pantograph differential equations. A highly nonlinear example is provided to illustrate the main theory.http://dx.doi.org/10.1155/2014/751209
spellingShingle Shaobo Zhou
Almost Surely Exponential Stability of Numerical Solutions for Stochastic Pantograph Equations
Abstract and Applied Analysis
title Almost Surely Exponential Stability of Numerical Solutions for Stochastic Pantograph Equations
title_full Almost Surely Exponential Stability of Numerical Solutions for Stochastic Pantograph Equations
title_fullStr Almost Surely Exponential Stability of Numerical Solutions for Stochastic Pantograph Equations
title_full_unstemmed Almost Surely Exponential Stability of Numerical Solutions for Stochastic Pantograph Equations
title_short Almost Surely Exponential Stability of Numerical Solutions for Stochastic Pantograph Equations
title_sort almost surely exponential stability of numerical solutions for stochastic pantograph equations
url http://dx.doi.org/10.1155/2014/751209
work_keys_str_mv AT shaobozhou almostsurelyexponentialstabilityofnumericalsolutionsforstochasticpantographequations