English

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

Probability 2024-07-11 v3 Mathematical Physics Combinatorics math.MP

Abstract

The arboreal gas is the probability measure on (unrooted spanning) forests of a graph in which each forest is weighted by a factor β>0\beta>0 per edge. It arises as the q0q\to 0 limit of the qq-state random cluster model with p=βqp=\beta q. We prove that in dimensions d3d\geq 3 the arboreal gas undergoes a percolation phase transition. This contrasts with the case of d=2d=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 H02\mathbb{H}^{0|2}. This latter model can be thought of as the 00-state Potts model, with the arboreal gas being its random cluster representation. Unlike the standard Potts models, the H02\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.

Keywords

Cite

@article{arxiv.2107.01878,
  title  = {Percolation transition for random forests in $d\geq 3$},
  author = {Roland Bauerschmidt and Nicholas Crawford and Tyler Helmuth},
  journal= {arXiv preprint arXiv:2107.01878},
  year   = {2024}
}

Comments

Accepted version

R2 v1 2026-06-24T03:53:28.814Z