Mean square stability of two classes of theta method for neutral stochastic differential delay equations

JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS

卷:305

Article

Liu, Linna^1,2  Zhu, Quanxin^1,2,3 

[1] Nanjing Normal Univ, Sch Math Sci, Nanjing 210023, Jiangsu, Peoples R China

[2] Nanjing Normal Univ, Inst Finance & Stat, Nanjing 210023, Jiangsu, Peoples R China

[3] Univ Bielefeld, Dept Math, D-33615 Bielefeld, Germany

关键词: Neutral stochastic differential delay equation;    Mean square stability;    Exponential stability;    Stochastic linear theta method;    Split-step theta method;   

DOI  :  10.1016/j.cam.2016.03.021

来源: Elsevier

【 摘 要 】

In this paper, a stochastic linear theta (SLT) method is introduced and analyzed for neutral stochastic differential delay equations (NSDDEs). We give some conditions on neutral item, drift and diffusion coefficients, which admit that the diffusion coefficient can be highly nonlinear and does not necessarily satisfy a linear growth or global Lipschitz condition. It is proved that, for all positive stepsizes, the SLT method with theta is an element of [1/2, 1] is asymptotically mean stable and so is theta is an element of [0, 1/2) under a stronger assumption. Furthermore, we consider the split-step theta (SST) method and obtain a similar but better result. That is, the SST method with theta is an element of [1/2, 1] is exponentially mean stable and so is theta is an element of [0, 1/2). Finally, two numerical examples are given to show the efficiency of the obtained results. (C) 2016 Elsevier B.V. All rights reserved.

【 授权许可】

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