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随机延迟微分方程的数值方法的收敛性和稳定性
引用本文:程生敏,周少波. 随机延迟微分方程的数值方法的收敛性和稳定性[J]. 数学杂志, 2014, 34(6): 1073-1084
作者姓名:程生敏  周少波
作者单位:郑州华信学院基础教学部;华中科技大学数学与统计学院;
基金项目:Supported by NNSF(70871046);HUST Foundation(0125011017)
摘    要:本文研究了随机延迟微分方程的平衡方法的收敛性和均方稳定性.利用半鞅收敛定理,给出了真解的渐进稳定和均方稳定的一个更弱的条件.平衡方法下随机延迟微分方程的真解的均方稳定性.

关 键 词:平衡方法  随机延迟微分方程  收敛性  均方稳定性  渐进稳定性
收稿时间:2013-05-13
修稿时间:2013-09-05

CONVERGENCE AND STABILITY OF NUMERICAL METHODS FOR STOCHASTIC DIFFERENTIAL DELAY EQUATION
CHENG Sheng-min and ZHOU Shao-bo. CONVERGENCE AND STABILITY OF NUMERICAL METHODS FOR STOCHASTIC DIFFERENTIAL DELAY EQUATION[J]. Journal of Mathematics, 2014, 34(6): 1073-1084
Authors:CHENG Sheng-min and ZHOU Shao-bo
Affiliation:Department of Basic Teaching, Zhengzhou Huaxin College, Xinzheng 451100, China and School of Mathematics and Statistics, Huazhong University of Science and Technology, Wuhan 430074, China
Abstract:The paper investigates convergence and mean-square stability of the balanced method for stochastic differential delay equation. By applying the semi-martingale convergence theorem, a weaker condition of asymptotic and mean-square stability of the exact solution is given, the balanced method reproduces mean-square stability of the exact solution for stochastic differential delay equation.
Keywords:balanced method  stochastic differential delay equation  convergence  mean-square stability  asymptotic stability
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