Non-linear conductances of Galton-Watson trees and application to the (near) critical random cluster model

Fuente: arXiv
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Autori principali: Ventura, Irene Ayuso, Berger, Quentin
Natura: Preprint
Pubblicazione: 2024
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author Ventura, Irene Ayuso
Berger, Quentin
author_facet Ventura, Irene Ayuso
Berger, Quentin
contents In this article, we study concave recursions on trees, which appear widely in information theory through algorithms such as belief propagation, and in statistical mechanics through models on tree-like graphs, including the Ising model, percolation, and more generally, the random cluster model. These tree recursions can, in fact, be compared with non-linear conductances, or $p$-conductances, between the root and the leaves of the tree. In this article, we estimate the $p$-conductances of $T_n$, a supercritical Galton--Watson tree of depth $n$, for any $p>1$, for a quenched realization of $T_n$. In particular, we find the sharp asymptotic behavior when $n$ goes to infinity, which depends on whether the offspring distribution admits a finite moment of order $q$, where $q=\frac{p}{p-1}$ is the conjugate exponent of $p$. We then apply our results to the random cluster model on $T_n$ (with cluster weight parameter in $(0,2]$ and wired boundary condition) providing sharp estimates on the probability that the root is connected to the leaves. As an example, for the Ising model on $T_n$ with plus boundary conditions on the leaves, we find that, at criticality, the quenched magnetization of the root decays like: (i) $n^{-1/2}$ times an explicit tree-dependent constant if the offspring distribution admits a finite third moment; (ii) $n^{-1/(α-1)}$ if the offspring distribution has a heavy tail with exponent $α\in (1,3)$.
format Preprint
id arxiv_https___arxiv_org_abs_2404_11564
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Non-linear conductances of Galton-Watson trees and application to the (near) critical random cluster model
Ventura, Irene Ayuso
Berger, Quentin
Probability
Mathematical Physics
60K35, 31C45, 82B27
In this article, we study concave recursions on trees, which appear widely in information theory through algorithms such as belief propagation, and in statistical mechanics through models on tree-like graphs, including the Ising model, percolation, and more generally, the random cluster model. These tree recursions can, in fact, be compared with non-linear conductances, or $p$-conductances, between the root and the leaves of the tree. In this article, we estimate the $p$-conductances of $T_n$, a supercritical Galton--Watson tree of depth $n$, for any $p>1$, for a quenched realization of $T_n$. In particular, we find the sharp asymptotic behavior when $n$ goes to infinity, which depends on whether the offspring distribution admits a finite moment of order $q$, where $q=\frac{p}{p-1}$ is the conjugate exponent of $p$. We then apply our results to the random cluster model on $T_n$ (with cluster weight parameter in $(0,2]$ and wired boundary condition) providing sharp estimates on the probability that the root is connected to the leaves. As an example, for the Ising model on $T_n$ with plus boundary conditions on the leaves, we find that, at criticality, the quenched magnetization of the root decays like: (i) $n^{-1/2}$ times an explicit tree-dependent constant if the offspring distribution admits a finite third moment; (ii) $n^{-1/(α-1)}$ if the offspring distribution has a heavy tail with exponent $α\in (1,3)$.
title Non-linear conductances of Galton-Watson trees and application to the (near) critical random cluster model
topic Probability
Mathematical Physics
60K35, 31C45, 82B27
url https://arxiv.org/abs/2404.11564