Mixing time of random walk on dynamical random cluster

IF 1.5 1区 数学 Q2 STATISTICS & PROBABILITY Probability Theory and Related Fields Pub Date : 2024-02-28 DOI:10.1007/s00440-024-01262-8
Andrea Lelli, Alexandre Stauffer
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Abstract

We study the mixing time of a random walker who moves inside a dynamical random cluster model on the d-dimensional torus of side-length n. In this model, edges switch at rate \(\mu \) between open and closed, following a Glauber dynamics for the random cluster model with parameters pq. At the same time, the walker jumps at rate 1 as a simple random walk on the torus, but is only allowed to traverse open edges. We show that for small enough p the mixing time of the random walker is of order \(n^2/\mu \). In our proof we construct a non-Markovian coupling through a multi-scale analysis of the environment, which we believe could be more widely applicable.

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动态随机群上随机行走的混合时间
在这个模型中,边以 \(\mu \) 的速率在开放边和封闭边之间切换,遵循参数为 p, q 的随机簇模型的格劳伯动力学。同时,行走者以 1 的速率在环上像简单随机行走一样跳跃,但只允许穿越开放边。我们证明,对于足够小的 p,随机漫步者的混合时间为 \(n^2/\mu \)。在我们的证明中,我们通过对环境的多尺度分析,构建了一个非马尔可夫耦合,我们相信它可以更广泛地应用。
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来源期刊
Probability Theory and Related Fields
Probability Theory and Related Fields 数学-统计学与概率论
CiteScore
3.70
自引率
5.00%
发文量
71
审稿时长
6-12 weeks
期刊介绍: Probability Theory and Related Fields publishes research papers in modern probability theory and its various fields of application. Thus, subjects of interest include: mathematical statistical physics, mathematical statistics, mathematical biology, theoretical computer science, and applications of probability theory to other areas of mathematics such as combinatorics, analysis, ergodic theory and geometry. Survey papers on emerging areas of importance may be considered for publication. The main languages of publication are English, French and German.
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