Random spanning forests and hyperbolic symmetry
arXiv:1912.04854 · doi:10.1007/s00220-020-03921-y
Abstract
We study (unrooted) random forests on a graph where the probability of a forest is multiplicatively weighted by a parameter per edge. This is called the arboreal gas model, and the special case when is the uniform forest model. The arboreal gas can equivalently be defined to be Bernoulli bond percolation with parameter conditioned to be acyclic, or as the limit with of the random cluster model. It is known that on the complete graph with there is a phase transition similar to that of the Erdős--Rényi random graph: a giant tree percolates for and all trees have bounded size for . In contrast to this, by exploiting an exact relationship between the arboreal gas and a supersymmetric sigma model with hyperbolic target space, we show that the forest constraint is significant in two dimensions: trees do not percolate on for any finite . This result is a consequence of a Mermin--Wagner theorem associated to the hyperbolic symmetry of the sigma model. Our proof makes use of two main ingredients: techniques previously developed for hyperbolic sigma models related to linearly reinforced random walks and a version of the principle of dimensional reduction.
arXiv commentAccepted version
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- Percolation transition for random forests in
- Dualities between fermionic theories and the Potts model
- Anomalous criticality coexists with giant cluster in the uniform forest model