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arXiv 1809.04710math.PR
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具有局部记忆的随机游动

Random walks with local memory

Swee Hong Chan, Lila Greco, Lionel Levine, Peter Li

摘要:

在$\mathbb{Z}^d$上证明了一类随机环境中的随机游动的猝灭不变原理,其中游动者改变了自己的环境。该环境由每个顶点的一条向外边组成。步行者将其当前位置处的边$e$更新为新的随机边$e'$(其定律取决于$e$),然后步行到$e'$的另一个端点。我们表明,这些步行的原生环境(即,从步行者的角度来看在时间上静止的环境)由朝向步行者的有线均匀跨越森林加上从步行者的独立外出边缘组成。

英文摘要:

We prove a quenched invariance principle for a class of random walks in random environment on $\mathbb{Z}^d$, where the walker alters its own environment. The environment consists of an outgoing edge from each vertex. The walker updates the edge $e$ at its current location to a new random edge $e'$ (whose law depends on $e$) and then steps to the other endpoint of $e'$. We show that a native environment for these walks (i.e., an environment that is stationary in time from the perspective of the walker) consists of the wired uniform spanning forest oriented toward the walker, plus an independent outgoing edge from the walker.

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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