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arXiv 1702.06905math.PR
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双重随机环境中随机游动的中心极限定理:$\mathcal{H}_{-1}$充分性

Central Limit Theorem for Random Walks in Doubly Stochastic Random Environment: $\mathcal{H}_{-1}$ Suffices

Gady Kozma, Bálint Tóth

摘要:

本文证明了在扩散标度下,在$\mathcal{H}_{-1}$ -条件下,在平稳遍历双随机环境中${\mathbb Z}^d$上随机游动位移的中心极限定理.这个条件等价于假定漂移场的流张量是平稳的和平方可积〔的〕。这改进了Komorowski,Landim和Olla(2012)的现有最佳结果,其中假设流张量在$\mathcal{L}^{\max\{2+δ, d\}}$中,具有$δ>0$。我们的证明依赖于Horváth,Tóth和VetIgn(2012)的\emph{relaxed sector condition}的扩展,并且在技术上比Oelschläger(1988)和Komorowski,Landim和Olla(2012)的类似结果的现有早期证明更简单。

英文摘要:

We prove a central limit theorem under diffusive scaling for the displacement of a random walk on ${\mathbb Z}^d$ in stationary and ergodic doubly stochastic random environment, under the $\mathcal{H}_{-1}$-condition imposed on the drift field. The condition is equivalent to assuming that the stream tensor of the drift field be stationary and square integrable. This improves the best existing result of Komorowski, Landim and Olla (2012), where it is assumed that the stream tensor is in $\mathcal{L}^{\max\{2+δ, d\}}$, with $δ>0$. Our proof relies on an extension of the \emph{relaxed sector condition} of Horváth, Tóth and Vető (2012) and is technically rather simpler than existing earlier proofs of similar results by Oelschläger (1988) and Komorowski, Landim and Olla (2012)

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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