Exponential stability of the split-step θ-method for neutral stochastic delay differential equations with jumps

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摘要

The exponential mean-square stability of the split-step θ-method for neutral stochastic delay differential equations (NSDDEs) with jumps is considered. New conditions for jumps are proposed to ensure the exponential mean-square stability of the trivial solution. If the drift coefficient satisfies the linear growth condition, it is shown that the split-step θ-method can reproduce the exponential mean-square stability of the trivial solution for the constrained stepsize. Then by applying the Chebyshev inequality and the Borel–Cantelli lemma, the almost sure exponential stability of both the trivial solution and the numerical solution can be obtained. Since split-step θ-method covers Euler–Maruyama (EM) method and split-step backward Euler (SSBE) method, the conclusions are valid for these two methods. Moreover, they can adapt to the NSDDEs and the SDDEs with jumps. Finally, a numerical example illustrates the effectiveness of the theoretical results.

论文关键词:Neutral stochastic delay differential equations with jumps,Stochastic split-step θ-method,Exponential mean-square stability,Almost sure exponential stability

论文评审过程:Received 5 April 2016, Revised 26 April 2017, Accepted 24 June 2017, Available online 31 July 2017, Version of Record 31 July 2017.

论文官网地址:https://doi.org/10.1016/j.amc.2017.06.034