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Almost sure and moment exponential stability of Euler-Maruyama method for non-autonomous stochastic differential equations

机译:非自治随机微分方程Euler-Maruyama方法的几乎确定和矩指数稳定性

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For autonomous stochastic differential equations (SDEs), it has been shown that the Euler-Maruyama (EM) method produces almost sure exponential stability and moment exponential stability of SDEs under some conditions which include the linear growth condition. In this work, we extend these results to non-autonomous SDEs, and prove that the exact solution is almost sure exponential stability and moment exponential stability under the local linear growth condition which is weaker than the linear growth condition. It is shown that the EM method maintains corresponding stability. A numerical example is presented to illustrate the effectiveness of this result.
机译:对于自治随机微分方程(SDE),研究表明,在包括线性增长条件的某些条件下,Euler-Maruyama(EM)方法可产生几乎确定的SDE指数稳定性和矩指数稳定性。在这项工作中,我们将这些结果扩展到非自治SDE,并证明了精确的解决方案几乎可以肯定在弱于线性增长条件的局部线性增长条件下的指数稳定性和矩指数稳定性。结果表明,EM方法保持了相应的稳定性。数值例子说明了该结果的有效性。

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