Percolation in the Harmonic Crystal and Voter Model in three dimensions
Vesselin I. Marinov, Joel L. Lebowitz

TL;DR
This paper studies percolation transitions in correlated three-dimensional systems, specifically the harmonic crystal and voter model, using novel Monte Carlo methods to determine critical points and exponents, confirming theoretical predictions.
Contribution
The paper introduces new Monte Carlo simulation techniques to accurately analyze percolation in correlated systems and verifies the predicted critical exponents for these models.
Findings
Critical percolation thresholds determined for both models.
Critical exponents differ from independent percolation, aligning with theoretical predictions.
Correlation length exponent close to the predicted value of 2.
Abstract
We investigate the site percolation transition in two strongly correlated systems in three dimensions: the massless harmonic crystal and the voter model. In the first case we start with a Gibbs measure for the potential, , , and , a scalar height variable, and define occupation variables for . The probability of a site being occupied, is then a function of . In the voter model we consider the stationary measure, in which each site is either occupied or empty, with probability . In both cases the truncated pair correlation of the occupation variables, , decays asymptotically like . Using some novel Monte Carlo simulation methods and finite size scaling we find accurate values of as well as the critical exponents…
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