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Strong convergence and exponential stability of stochastic differential equations with piecewise continuous arguments for non-globally Lipschitz continuous coefficients

机译:随机微分方程具有强烈的收敛性和指数稳定性,具有非全球嘴唇连续系数的分段连续参数

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The paper deals with a split-step theta-method for stochastic differential equations with piecewise continuous arguments (SEPCAs). The strong convergence of the method is proved under non-globally Lipschitz conditions. The exponential stability of the exact and numerical solutions is obtained. Some experiments are given to illustrate the conclusions. (c) 2018 Elsevier Inc. All rights reserved.
机译:本文涉及具有分段连续参数(SEPCAS)的随机微分方程的分离步骤方法。 在非全局嘴唇奇茨条件下证明了该方法的强烈收敛性。 获得了确切和数值溶液的指数稳定性。 给出了一些实验说明了结论。 (c)2018年Elsevier Inc.保留所有权利。

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