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

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Peer-reviewed

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Authors

Bauerschmidt, Roland 
Crawford, Nicholas 
Helmuth, Tyler 

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 per edge. It arises as the q→0 limit of the q-state random cluster model with p=βq. We prove that in dimensions d≥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 H0|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 H0|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.

Description

Acknowledgements: We thank David Brydges and Gordon Slade. This article would not have been possible in this form without their previous contributions to the renormalisation group method. We also thank them for their permission to include Fig. 1 from [18]. We thank the referees for their helpful comments. R.B. was supported by the European Research Council under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 851682 SPINRG). N.C. was supported by Israel Science Foundation grant number 1692/17.

Keywords

math.CO, math.MP, math.PR, math.PR, math-ph

Journal Title

Inventiones Mathematicae

Conference Name

Journal ISSN

0020-9910
1432-1297

Volume Title

237

Publisher

Springer
Sponsorship
European Commission Horizon 2020 (H2020) ERC (851682 SPINRG)