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Almost sure exponential stability of numerical solutions for stochastic delay differential equations with jumps

机译:具有跳的随机时滞微分方程数值解的几乎肯定指数稳定性。

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This paper deals with the almost sure exponential stability of the Euler-type methods for nonlinear stochastic delay differential equations with jumps by using the discrete semimartingale convergence theorem. It is shown that the explicit Euler method reproduces the almost sure exponential stability under an additional linear growth condition. By replacing the linear growth condition with the one-sided Lipschitz condition, the backward Euler method is able to reproduce the stability property.
机译:本文利用离散半mart收敛定理,研究了带有跳跃的非线性随机时滞微分方程的Euler型方法的几乎确定的指数稳定性。结果表明,显式欧拉方法在附加的线性增长条件下可再现几乎确定的指数稳定性。通过用单边Lipschitz条件代替线性生长条件,后向Euler方法可以重现稳定性。

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