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随机游走的通用遍历动力学。

Universal exploration dynamics of random walks.

机构信息

Laboratoire de Physique Théorique de la Matière Condensée, CNRS/Sorbonne University, 4 Place Jussieu, 75005, Paris, France.

Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM, 87501, USA.

出版信息

Nat Commun. 2023 Feb 4;14(1):618. doi: 10.1038/s41467-023-36233-5.

Abstract

The territory explored by a random walk is a key property that may be quantified by the number of distinct sites that the random walk visits up to a given time. We introduce a more fundamental quantity, the time τ required by a random walk to find a site that it never visited previously when the walk has already visited n distinct sites, which encompasses the full dynamics about the visitation statistics. To study it, we develop a theoretical approach that relies on a mapping with a trapping problem, in which the spatial distribution of traps is continuously updated by the random walk itself. Despite the geometrical complexity of the territory explored by a random walk, the distribution of the τ can be accounted for by simple analytical expressions. Processes as varied as regular diffusion, anomalous diffusion, and diffusion in disordered media and fractals, fall into the same universality classes.

摘要

随机游走所探索的区域是一个关键性质,可以通过随机游走在给定时间内访问的不同位置的数量来量化。我们引入了一个更基本的量,即当随机游走已经访问了 n 个不同的位置时,找到一个它以前从未访问过的位置所需的时间 τ,这包含了关于访问统计数据的全部动态信息。为了研究它,我们开发了一种理论方法,该方法依赖于与捕获问题的映射,其中陷阱的空间分布由随机游走本身不断更新。尽管随机游走所探索的区域的几何形状很复杂,但 τ 的分布可以用简单的解析表达式来描述。各种过程,如规则扩散、异常扩散、无序介质和分形中的扩散,都属于相同的普遍性类别。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/911a/9899275/e11187232b78/41467_2023_36233_Fig1_HTML.jpg

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