自由边界二聚体:随机行走表示和缩放限制。

IF 1.5 1区 数学 Q2 STATISTICS & PROBABILITY
Probability Theory and Related Fields Pub Date : 2023-01-01 Epub Date: 2023-05-16 DOI:10.1007/s00440-023-01203-x
Nathanaël Berestycki, Marcin Lis, Wei Qian
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引用次数: 0

摘要

我们研究了正方形晶格子图上的二聚体模型,其中边界(自由边界)的指定部分上的顶点可能是不匹配的。每个这样的不匹配顶点都被称为单体,并对构型的总重量贡献固定的乘积权重z>0。Giuliani等人描述的双射(J Stat Phys 163(2):211-2382016)将该模型与标准二聚体模型联系起来,但在非二分图上。该二聚体模型的Kasteleyn矩阵描述了沿自由边界具有负过渡权重的行走。然而,在某些假设下,特别是在上半平面的无限体积极限下,我们证明了反Kasteleyn矩阵的有效、真实的随机游动表示。在这种情况下,我们进一步证明,与z>0的值无关,中心高度函数的标度极限是具有Neumann(或自由)边界条件的高斯自由场。这是离散模型的第一个例子,其中这种边界条件出现在连续标度极限中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Free boundary dimers: random walk representation and scaling limit.

Free boundary dimers: random walk representation and scaling limit.

Free boundary dimers: random walk representation and scaling limit.

Free boundary dimers: random walk representation and scaling limit.

We study the dimer model on subgraphs of the square lattice in which vertices on a prescribed part of the boundary (the free boundary) are possibly unmatched. Each such unmatched vertex is called a monomer and contributes a fixed multiplicative weight z>0 to the total weight of the configuration. A bijection described by Giuliani et al. (J Stat Phys 163(2):211-238, 2016) relates this model to a standard dimer model but on a non-bipartite graph. The Kasteleyn matrix of this dimer model describes a walk with transition weights that are negative along the free boundary. Yet under certain assumptions, which are in particular satisfied in the infinite volume limit in the upper half-plane, we prove an effective, true random walk representation for the inverse Kasteleyn matrix. In this case we further show that, independently of the value of z>0, the scaling limit of the centered height function is the Gaussian free field with Neumann (or free) boundary conditions. It is the first example of a discrete model where such boundary conditions arise in the continuum scaling limit.

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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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