Random spanning forests and hyperbolic symmetry.

Abstract: We study (unrooted) random forests on a graph where the probability of a forest is multiplicatively weighted by a parameter $\beta>0$ per edge. This model is the $q\to 0$ limit of the random cluster model with $p=q\beta$. It is also known under different names such as the arboreal gas or the uniform forest model. In this talk, I will discuss the tantalizing conjectural behaviour of the model, and then present our result that there is no percolation in dimension two. This result relies on a surprising hyperbolic symmetry and methods previously developed for linearly reinforced walks. (This is joint work with Nick Crawford, Tyler Helmuth, and Andrew Swan.)

mathematical physicsprobability

Audience: researchers in the topic

Séminaire MEGA

Series comments: Description: Monthly seminar on random matrices and random graphs