The tail of the crossing probability in near-critical percolation --- an appendix to Ahlberg & Steif [arXiv:1405.7144]
G\'abor Pete

TL;DR
This paper determines the superexponentially small tail behavior of crossing probabilities in near-critical planar percolation, contrasting with the different tail decay in dynamical percolation, using scale covariance properties.
Contribution
It provides the first precise characterization of the tail decay in near-critical percolation, extending the understanding of crossing probabilities.
Findings
Tail probability decays superexponentially in near-critical percolation
Contrast with exponential or superpolynomial decay in dynamical percolation
Utilizes scale covariance to simplify the proof
Abstract
We answer a question of Ahlberg and Steif (2014) by finding the tail behaviour of the crossing probability in near-critical planar percolation. Interestingly, this superexponentially small behaviour is different from the case of dynamical percolation, where the analogous tail probability was proved to be at least exponential and at most superpolynomial by Hammond, Mossel and Pete (2012). The proof is simple, given the scale covariance established by Garban, Pete and Schramm (2013).
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Taxonomy
TopicsStochastic processes and statistical mechanics · Theoretical and Computational Physics · Markov Chains and Monte Carlo Methods
