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On mean-square stability of two-step Maruyama methods for nonlinear neutral stochastic delay differential equations

机译:非线性中立随机时滞微分方程两步Maruyama方法的均方稳定性

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摘要

The asymptotic mean-square stability of two-step Maruyama methods is considered for nonlinear neutral stochastic differential equations with constant time delay (NSDDEs). Under the one-sided Lipschitz condition and the linear growth condition, it is proved that a family of implicit two-step Maruyama methods can preserve the stability of the analytic solution in mean-square sense. Numerical results for both a nonlinear NSDDE and a system show that the family of two-step Maruyama methods have better stability than previous two-step Maruyama methods. (C) 2015 Elsevier Inc. All rights reserved.
机译:对于具有恒定时间延迟(NSDDE)的非线性中立型随机微分方程,考虑了两步Maruyama方法的渐近均方稳定性。在单边Lipschitz条件和线性增长条件下,证明了一组隐式两步Maruyama方法可以保持均方意义上解析解的稳定性。非线性NSDDE和系统的数值结果均表明,两步Maruyama方法族比以前的两步Maruyama方法具有更好的稳定性。 (C)2015 Elsevier Inc.保留所有权利。

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