Exponential mean-square stability of numerical solutions for stochastic delay integro-differential equations with Poisson jump

被引:5
|
作者
Ahmadian, Davood [1 ]
Farkhondeh Rouz, Omid [1 ]
机构
[1] Univ Tabriz, Fac Math Sci, Tabriz, Iran
关键词
Split-step theta-Milstein scheme; Exponential mean-square stability; Stochastic delay integro-differential equations; Poisson jump; Lyapunov function; DIFFERENTIAL-EQUATIONS; MILSTEIN METHOD; THETA-METHOD; CONVERGENCE; SCHEME;
D O I
10.1186/s13660-020-02452-3
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, we investigate the exponential mean-square stability for both the solution of n-dimensional stochastic delay integro-differential equations (SDIDEs) with Poisson jump, as well for the split-step theta-Milstein (SSTM) scheme implemented of the proposed model. First, by virtue of Lyapunov function and continuous semi-martingale convergence theorem, we prove that the considered model has the property of exponential mean-square stability. Moreover, it is shown that the SSTM scheme can inherit the exponential mean-square stability by using the delayed difference inequality established in the paper. Eventually, three numerical examples are provided to show the effectiveness of the theoretical results.
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页数:33
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