Sharp relations between volume growth, isoperimetry and escape probability in vertex-transitive graphs
Romain Tessera, Matthew Tointon

TL;DR
This paper establishes precise bounds relating volume growth, isoperimetric properties, and escape probabilities of random walks in vertex-transitive graphs, revealing a gap in escape probabilities and extending classical recurrence results.
Contribution
It provides sharp bounds on escape probabilities based on volume growth, confirms a conjecture for finite graphs, and generalizes isoperimetric inequalities and locality results for vertex-transitive graphs.
Findings
Escape probability is bounded below if volume slightly exceeds quadratic in radius.
Escape probability decays logarithmically if volume is slightly less than cubic.
Existence of a universal constant c > 0 separating recurrent and transient behavior.
Abstract
We prove sharp bounds on the probability that the simple random walk on a vertex-transitive graph escapes the ball of radius before returning to its starting point. In particular, this shows that if the ball of radius has size slightly greater than quadratic in then this probability is bounded from below. On the other hand, we show that if the ball of radius has volume slightly less than cubic in then this probability decays logarithmically for all larger balls. These results represent a finitary refinement of Varopoulos's theorem that a random walk on a vertex-transitive graph is recurrent if and only if the graph has at most quadratic volume growth. They also imply the existence of a gap at for escape probabilities: there exists a universal constant such that the random walk on an arbitrary vertex-transitive graph is either recurrent or has a probability…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Markov Chains and Monte Carlo Methods · Limits and Structures in Graph Theory
