Split-step theta method for stochastic delay integro-differential equations with mean square exponential stability
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摘要
In this paper, we propose the split-step theta method for stochastic delay integro-differential equations by the Lagrange interpolation technique and investigate the mean square exponential stability of the proposed scheme. It is shown that the split-step theta method can inherit the mean square exponential stability of the continuous model under the linear growth condition and the proposed stability condition by the delayed differential and difference inequalities established in the paper. A numerical example is given at the end of the paper to illustrate the method and conclusion of the paper. In addition, the convergence of the split-step theta method is proved in the Appendix.
论文关键词:Stochastic differential equations,Delay,Integro-differential equations,Split-step theta method,Mean square exponential stability,Convergence
论文评审过程:Received 18 February 2018, Revised 17 January 2019, Accepted 28 January 2019, Available online 23 February 2019, Version of Record 23 February 2019.
论文官网地址:https://doi.org/10.1016/j.amc.2019.01.073