Percolation transition for random forests in $d\geq 3$

TL;DR

This paper proves that in dimensions three and higher, the arboreal gas model exhibits a percolation phase transition, contrasting with the two-dimensional case where no such transition occurs, using advanced mathematical physics techniques.

Contribution

It establishes the existence of a percolation transition for the arboreal gas in $d\geq 3$ and links it to symmetry breaking in a related non-linear sigma model.

Findings

Percolation transition occurs in $d\geq 3$

Symmetry is spontaneously broken at low temperatures

Existence of infinite trees and massless correlations

Abstract

The arboreal gas is the probability measure on (unrooted spanning) forests of a graph in which each forest is weighted by a factor $\beta>0$ per edge. It arises as the $q\to 0$ limit of the $q$-state random cluster model with $p=\beta q$. We prove that in dimensions $d\geq 3$ the arboreal gas undergoes a percolation phase transition. This contrasts with the case of $d=2$ where no percolation transition occurs. The starting point for our analysis is an exact relationship between the arboreal gas and a non-linear sigma model with target space the fermionic hyperbolic plane $\mathbb{H}^{0|2}$. This latter model can be thought of as the $0$-state Potts model, with the arboreal gas being its random cluster representation. Unlike the standard Potts models, the $\mathbb{H}^{0|2}$ model has continuous symmetries. By combining a renormalisation group analysis with Ward identities we prove that this symmetry is spontaneously broken at low temperatures. In terms of the arboreal gas, this symmetry breaking translates into the existence of infinite trees in the thermodynamic limit. Our analysis also establishes massless free field correlations at low temperatures and the existence of a macroscopic tree on finite tori.