Averaging principle for two-time-scale stochastic differential equations with correlated noise
Averaging principle for two-time-scale stochastic differential equations with correlated noise
复制标题
具有相关噪声的两时间尺度随机微分方程的平均原理
DOI:
10.1515/math-2022-0538
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发表时间:
2022-01
期刊:
影响因子:
1.7
通讯作者:
Yancai Liu
中科院分区:
文献类型:
--
作者:
Tao Jiang;Yancai Liu
Abstract This article is devoted to studying the averaging principle for two-time-scale stochastic differential equations with correlated noise. By the technique of multiscale expansion of the solution to the backward Kolmogorov equation and consequent elimination of variables, we obtain the Kolmogorov equation corresponding to the reduced simplified system. The approximation of the slow component of the original system to the solution of the corresponding averaged equation is in the weak sense. An example is also provided to illustrate our result.
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