Convergence and stability of exponential integrators for semi-linear stochastic variable delay integro-differential equations

被引:4
|
作者
Yuan, Haiyan [1 ]
机构
[1] Heilongjiang Inst Technol, Dept Math, Harbin 150050, Peoples R China
基金
中国国家自然科学基金;
关键词
Semi-linear stochastic variable delay integro-differential equation; exponential integrators; mean-square exponential stability; convergence; strong convergence order; EULER-MARUYAMA METHOD; DIFFERENTIAL-EQUATIONS; NUMERICAL-SIMULATION; SCHEME; DISCRETIZATION; RATES;
D O I
10.1080/00207160.2020.1792452
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, the numerical method for semi-linear stochastic variable delay integro-differential equations is studied. The stability of analytic solutions of semi-linear stochastic variable delay integro-differential equations are studied first, some suitable conditions for the mean-square stability of the analytic solutions are also obtained. Then the numerical approximation of exponential integrators for semi-linear stochastic variable delay integro-differential equations are constructed, the convergence and the stability of the numerical method are studied. It is proved that the exponential Euler method is convergent with the strong order 1/2 and the exponential Euler method can keep the mean-square exponential stability of the analytical solution under some restrictions on the step size. In addition, numerical experiments are presented to confirm the theoretical results.
引用
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页码:903 / 932
页数:30
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