Coarsening model on $\mathbb{Z}^d$ with biased zero-energy flips and an exponential large deviation bound for ASEP
Michael Damron, Leonid Petrov, and David Sivakoff

TL;DR
This paper analyzes a biased zero-temperature Ising Glauber dynamics on multi-dimensional lattices, demonstrating conditions for almost sure convergence to all +1 spins and establishing exponential large deviation bounds for ASEP.
Contribution
It introduces new conditions for convergence to +1 in biased coarsening models and provides a novel exponential large deviation bound for ASEP.
Findings
Almost sure convergence to +1 for certain bias parameters
Near-exponential convergence rates in 2D for large bias
Stretched exponential convergence rates in higher dimensions
Abstract
We study the coarsening model (zero-temperature Ising Glauber dynamics) on (for ) with an asymmetric tie-breaking rule. This is a Markov process on the state space of "spin configurations" in which each vertex updates its spin to agree with a majority of its neighbors at the arrival times of a Poisson process. If a vertex has equally many and neighbors, then it updates its spin value to with probability and to with probability . The initial state of this Markov chain is distributed according to a product measure with probability for a spin to be . In this paper, we show that for any given , there exist close enough to 1 such that a.s. every spin has a limit of . This is of particular interest for small values of , for which it is known that if , a.s. all spins have a…
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