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随机延迟积分微分方程改进分步向后Euler方法的均方指数稳定性
MEAN-SQUARE EXPONENTIAL STABILITY OF AN IMPROVED SPLIT-STEP BACKWARD EULER METHOD FOR STOCHASTIC DELAY INTEGRO-DIFFERENTIAL EQUATIONS
【摘要】 本文研究一类改进分步向后Euler方法求解随机延迟积分微分方程的均方指数稳定性.证明了在约束网格下,该方法依步长h=т/m保持原系统的均方指数稳定性.数值试验验证了本文理论结果的正确性.
【Abstract】 In this paper,we are concerned with the mean-square exponential stability of an improved split-step backward Euler method for stochastic delay integro-differential equations. It is shown that the proposed method preserves the mean-square exponential stability of the underlying systems with the stepsize h = τ/m,where m is a positive integer.Finally,a numerical experiment is given to verify the theoretical results.
【关键词】 分步向后Euler方法;
随机延迟积分微分方程;
均方指数稳定;
【Key words】 Split-step backward Euler method; Stochastic delay integro-differential equation; Mean-square exponential stability;
【Key words】 Split-step backward Euler method; Stochastic delay integro-differential equation; Mean-square exponential stability;
【基金】 国家自然科学基金(11171352;11101101);湖南省自然科学基金(13JJ4106)资助项目
- 【文献出处】 数值计算与计算机应用 ,Journal on Numerical Methods and Computer Applications , 编辑部邮箱 ,2013年04期
- 【分类号】O211.63
- 【被引频次】10
- 【下载频次】147