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arXiv 0907.1627math.PR
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具有大基底和随机交错的离散圆柱上的随机游动

Random walks on discrete cylinders with large bases and random interlacements

David Windisch

摘要:

在Sznitman(arXiv:0805.4516)的工作基础上,我们研究了在G_N x Z(其中G_N是一个大的有限连通加权图)上的随机游动轨迹所引起的微观图像,并将其与无限瞬态加权图上的随机交织模型联系起来.在适当的假设下,在Z分量为|G_N|的点的邻域中,直到|G_N| ^2阶时间,随机游动才访问的点集在分布上收敛于描述该点邻域中图的结构的某个极限模型上的随机交错的空集的定律。随机交错的程度取决于布朗运动的局部时间。该结果还描述了局部图像在可能具有不同极限模型的若干远点邻域内的联合分布的极限行为。作为G_N的例子,我们处理边长为N的d维盒,深度为N的Sierpinski图和深度为N的d叉树,其中d >= 2。

英文摘要:

Following the recent work of Sznitman (arXiv:0805.4516), we investigate the microscopic picture induced by a random walk trajectory on a cylinder of the form G_N x Z, where G_N is a large finite connected weighted graph, and relate it to the model of random interlacements on infinite transient weighted graphs. Under suitable assumptions, the set of points not visited by the random walk until a time of order |G_N|^2 in a neighborhood of a point with Z-component of order |G_N| converges in distribution to the law of the vacant set of a random interlacement on a certain limit model describing the structure of the graph in the neighborhood of the point. The level of the random interlacement depends on the local time of a Brownian motion. The result also describes the limit behavior of the joint distribution of the local pictures in the neighborhood of several distant points with possibly different limit models. As examples of G_N, we treat the d-dimensional box of side length N, the Sierpinski graph of depth N and the d-ary tree of depth N, where d >= 2.

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