One-arm exponent of critical level-set for metric graph Gaussian free field in high dimensions

IF 1.5 1区 数学 Q2 STATISTICS & PROBABILITY
Zhenhao Cai, Jian Ding
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引用次数: 0

Abstract

In this paper, we study the critical level-set of Gaussian free field (GFF) on the metric graph \(\widetilde{{\mathbb {Z}}}^d,d>6\). We prove that the one-arm probability (i.e. the probability of the event that the origin is connected to the boundary of the box B(N)) is proportional to \(N^{-2}\), where B(N) is centered at the origin and has side length \(2\lfloor N \rfloor \). Our proof is highly inspired by Kozma and Nachmias (J Am Math Soc 24(2):375–409, 2011) which proves the analogous result for the critical bond percolation for \(d\ge 11\), and by Werner (in: Séminaire de Probabilités XLVIII, Springer, Berlin, 2016) which conjectures the similarity between the GFF level-set and the bond percolation in general and proves this connection for various geometric aspects.

Abstract Image

高维度度量图高斯自由场临界水平集的单臂指数
本文研究了度量图 \(\widetilde{{\mathbb {Z}}^d,d>6\) 上高斯自由场(GFF)的临界水平集。)我们证明了单臂概率(即原点与盒 B(N) 边界相连的概率)与 \(N^{-2}\) 成正比,其中 B(N) 以原点为中心,边长为 \(2\lfloor N\rfloor \)。我们的证明受到了 Kozma 和 Nachmias(J Am Math Soc 24(2):375-409,2011)和 Werner(in: Séminaire de Probabilités XLVIII, Springer, Berlin, 2016)的极大启发,前者证明了 GFF 水平集与一般债券渗流之间的相似性,并从各种几何方面证明了这种联系。
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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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