Monotonicity properties for Bernoulli percolation on layered graphs -- a Markov chain approach

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: König, Philipp, Richthammer, Thomas
Format: Preprint
Published: 2022
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866909547979866112
author König, Philipp
Richthammer, Thomas
author_facet König, Philipp
Richthammer, Thomas
contents A layered graph $G^\times$ is the Cartesian product of a graph $G = (V,E)$ with the linear graph $Z$, e.g. $Z^\times$ is the 2D square lattice $Z^2$. For Bernoulli percolation with parameter $p \in [0,1]$ on $G^\times$ one intuitively would expect that $P_p((o,0) \leftrightarrow (v,n)) \ge P_p((o,0) \leftrightarrow (v,n+1))$ for all $o,v \in V$ and $n \ge 0$. This is reminiscent of the better known bunkbed conjecture. Here we introduce an approach to the above monotonicity conjecture that makes use of a Markov chain building the percolation pattern layer by layer. In case of finite $G$ we thus can show that for some $N \ge 0$ the above holds for all $n \ge N$ $o,v \in V$ and $p \in [0,1]$. One might hope that this Markov chain approach could be useful for other problems concerning Bernoulli percolation on layered graphs.
format Preprint
id arxiv_https___arxiv_org_abs_2207_13173
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Monotonicity properties for Bernoulli percolation on layered graphs -- a Markov chain approach
König, Philipp
Richthammer, Thomas
Probability
Mathematical Physics
60K35, 60J10 (Primary) 82B43, 15B51 (Secondary)
A layered graph $G^\times$ is the Cartesian product of a graph $G = (V,E)$ with the linear graph $Z$, e.g. $Z^\times$ is the 2D square lattice $Z^2$. For Bernoulli percolation with parameter $p \in [0,1]$ on $G^\times$ one intuitively would expect that $P_p((o,0) \leftrightarrow (v,n)) \ge P_p((o,0) \leftrightarrow (v,n+1))$ for all $o,v \in V$ and $n \ge 0$. This is reminiscent of the better known bunkbed conjecture. Here we introduce an approach to the above monotonicity conjecture that makes use of a Markov chain building the percolation pattern layer by layer. In case of finite $G$ we thus can show that for some $N \ge 0$ the above holds for all $n \ge N$ $o,v \in V$ and $p \in [0,1]$. One might hope that this Markov chain approach could be useful for other problems concerning Bernoulli percolation on layered graphs.
title Monotonicity properties for Bernoulli percolation on layered graphs -- a Markov chain approach
topic Probability
Mathematical Physics
60K35, 60J10 (Primary) 82B43, 15B51 (Secondary)
url https://arxiv.org/abs/2207.13173