Almost Surely Asymptotic Stability of Numerical Solutions for Neutral Stochastic Delay Differential Equations

Almost Surely Asymptotic Stability of Numerical Solutions for Neutral Stochastic Delay Differential Equations
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中性随机时滞微分方程数值解的几乎确信渐近稳定性

DOI:
10.1155/2011/217672
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发表时间:
2011-06
影响因子:
1.4
通讯作者:
Liu, Mingzhu
Liu, Mingzhu
中科院分区:
数学4区
文献类型:
--
作者:
Yu, Zhanhua;Liu, Mingzhu

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研究了Euler型方程的几乎必然渐近稳定性 中立型随机延迟微分方程的离散半鞅方法 收敛定理结果表明,在附加条件下,欧拉方法和向后欧拉方法可以再现NSDDE精确解的几乎必然渐近稳定性。数值例子表明我们的理论结果的有效性。
We investigate the almost surely asymptotic stability of Euler-type methods for neutral stochastic delay differential equations (NSDDEs) using the discrete semimartingale convergence theorem. It is shown that the Euler method and the backward Euler method can reproduce the almost surely asymptotic stability of exact solutions to NSDDEs under additional conditions. Numerical examples are demonstrated to illustrate the effectiveness of our theoretical results.
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