arXiv Analytics

Sign in

arXiv:1810.03750 [math.PR]AbstractReferencesReviewsResources

Restricted percolation critical exponents in high dimensions

Shirshendu Chatterjee, Jack Hanson

Published 2018-10-08Version 1

Despite great progress in the study of critical percolation on $\mathbb{Z}^d$ for $d$ large, properties of critical clusters in high-dimensional fractional spaces and boxes remain poorly understood, unlike the situation in two dimensions. Closely related models such as critical branching random walk give natural conjectures for the value of the relevant high-dimensional critical exponents; see in particular the conjecture by Kozma-Nachmias that the probability that $0$ and $(n, n, n, \ldots)$ are connected within $[-n,n]^d$ scales as $n^{-2-2d}$. In this paper, we study the properties of critical clusters in high-dimensional half-spaces and boxes. In half-spaces, we show that the probability of an open connection ("arm") from $0$ to the boundary of a sidelength $n$ box scales as $n^{-3}$. We also find the scaling of the half-space two-point function (the probability of an open connection between two vertices) and the tail of the cluster size distribution. In boxes, we obtain the scaling of the two-point function between vertices which are any macroscopic distance away from the boundary.

Related articles: Most relevant | Search more
arXiv:0901.4393 [math.PR] (Published 2009-01-28)
Excited against the tide: A random walk with competing drifts
arXiv:1708.00471 [math.PR] (Published 2017-08-01)
Limit theorems for random simplices in high dimensions
arXiv:2012.06189 [math.PR] (Published 2020-12-11, updated 2022-06-28)
Random cones in high dimensions I: Donoho-Tanner and Cover-Efron cones