Averaging dynamics driven by fractional Brownian motion

Averaging dynamics driven by fractional Brownian motion
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DOI:
10.1214/19-aop1408
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发表时间:
2019-02
期刊:
The Annals of Probability
影响因子:
--
通讯作者:
Martin Hairer;Xue-Mei Li
Martin Hairer;Xue-Mei Li
中科院分区:
其他
文献类型:
--
作者:
Martin Hairer;Xue-Mei Li

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我们考虑慢/快系统,其中慢系统由分数布朗运动驱动,赫斯特参数 $H>{1\over 2}$。我们表明,与 $H={1\over 2}$ 的情况不同,平均解的收敛以概率发生,并且限制过程求解“朴素”平均方程。我们的证明强烈依赖于最近获得的随机缝合引理。
We consider slow / fast systems where the slow system is driven by fractional Brownian motion with Hurst parameter $H>{1\over 2}$. We show that unlike in the case $H={1\over 2}$, convergence to the averaged solution takes place in probability and the limiting process solves the 'naively' averaged equation. Our proof strongly relies on the recently obtained stochastic sewing lemma.