Macroscopic loops in the 3d double-dimer model

IF 0.5 4区 数学 Q4 STATISTICS & PROBABILITY Electronic Communications in Probability Pub Date : 2022-06-16 DOI:10.1214/23-ecp536
A. Quitmann, L. Taggi
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引用次数: 5

Abstract

The double dimer model is defined as the superposition of two independent uniformly distributed dimer covers of a graph. Its configurations can be viewed as disjoint collections of self-avoiding loops. Our first result is that in $\mathbb{Z}^d$, $d>2$, the loops in the double dimer model are macroscopic. These are shown to behave qualitatively differently than in two dimensions. In particular, we show that, given two distant points of a large box, with uniformly positive probability there exists a loop visiting both points. Our second result involves the monomer double-dimer model, namely the double-dimer model in the presence of a density of monomers. These are vertices which are not allowed to be touched by any loop. This model depends on a parameter, the monomer activity, which controls the density of monomers. It is known from Betz and Taggi (2019) and Taggi (2021) that a finite critical threshold of the monomer activity exists, below which a self-avoiding walk forced through the system is macroscopic. Our paper shows that, when $d>2$, such a critical threshold is strictly positive. In other words, the self-avoiding walk is macroscopic even in the presence of a positive density of monomers.
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三维双二聚体模型中的宏观环
双二聚体模型被定义为图的两个独立的均匀分布的二聚体覆盖的叠加。它的配置可以看作是自回避循环的不相交集合。我们的第一个结果是,在$\mathbb{Z}^d$,$d>2$中,双二聚体模型中的环是宏观的。它们在质量上的表现与在二维中的表现不同。特别地,我们证明了,给定一个大盒子的两个遥远的点,在一致正概率的情况下,存在一个访问这两个点的循环。我们的第二个结果涉及单体双二聚体模型,即存在单体密度的双二聚物模型。这些顶点是任何循环都不允许接触的。这个模型取决于一个参数,即单体活性,它控制着单体的密度。从Betz和Taggi(2019)以及Taggi(2021)可知,单体活性存在有限的临界阈值,低于该阈值,系统中被迫的自我回避行走是宏观的。我们的论文表明,当$d>2$时,这样的临界阈值是严格正的。换句话说,即使在单体密度为正的情况下,自我回避行走也是宏观的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Electronic Communications in Probability
Electronic Communications in Probability 工程技术-统计学与概率论
CiteScore
1.00
自引率
0.00%
发文量
38
审稿时长
6-12 weeks
期刊介绍: The Electronic Communications in Probability (ECP) publishes short research articles in probability theory. Its sister journal, the Electronic Journal of Probability (EJP), publishes full-length articles in probability theory. Short papers, those less than 12 pages, should be submitted to ECP first. EJP and ECP share the same editorial board, but with different Editors in Chief.
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