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EXPONENTIAL STABILITY FOR NONLINEAR HYBRID STOCHASTIC PANTOGRAPH EQUATIONS AND NUMERICAL APPROXIMATION

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【作者】 周少波薛明皋

【Author】 Shaobo ZHOU;Minggao XUE;School of Mathematics and Statistics,Huazhong University of Science and Technology;School of Management,Huazhong University of Science and Technology;

【机构】 School of Mathematics and Statistics,Huazhong University of Science and TechnologySchool of Management,Huazhong University of Science and Technology

【摘要】 The paper develops exponential stability of the analytic solution and convergence in probability of the numerical method for highly nonlinear hybrid stochastic pantograph equation. The classical linear growth condition is replaced by polynomial growth conditions,under which there exists a unique global solution and the solution is almost surely exponentially stable. On the basis of a series of lemmas, the paper establishes a new criterion on convergence in probability of the Euler-Maruyama approximate solution. The criterion is very general so that many highly nonlinear stochastic pantograph equations can obey these conditions. A highly nonlinear example is provided to illustrate the main theory.

【Abstract】 The paper develops exponential stability of the analytic solution and convergence in probability of the numerical method for highly nonlinear hybrid stochastic pantograph equation. The classical linear growth condition is replaced by polynomial growth conditions,under which there exists a unique global solution and the solution is almost surely exponentially stable. On the basis of a series of lemmas, the paper establishes a new criterion on convergence in probability of the Euler-Maruyama approximate solution. The criterion is very general so that many highly nonlinear stochastic pantograph equations can obey these conditions. A highly nonlinear example is provided to illustrate the main theory.

【基金】 support from the National Natural Science Foundation of China(70871046,71171091,71191091);Fundamental Research Funds for the Central Universities(2011QN167)
  • 【文献出处】 Acta Mathematica Scientia ,数学物理学报(英文版) , 编辑部邮箱 ,2014年04期
  • 【分类号】O211.63
  • 【被引频次】5
  • 【下载频次】29
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