Berezinskii-Kosterlitz-Thouless-like percolation transitions in the two-dimensional XY model

Abstract

We study a percolation problem on a substrate formed by two-dimensional XY spin configurations, using Monte Carlo methods. For a given spin configuration we construct percolation clusters by randomly choosing a direction x in the spin vector space, and then placing a percolation bond between nearest-neighbor sites i and j with probability pij = (0,1-e-2K sxi sxj), where K > 0 governs the percolation process. A line of percolation thresholds K c (J) is found in the low-temperature range J ≥ J c, where J > 0 is the XY coupling strength. Analysis of the correlation function gp (r), defined as the probability that two sites separated by a distance r belong to the same percolation cluster, yields algebraic decay for K ≥ K c(J), and the associated critical exponent depends on J and K. Along the threshold line K c(J), the scaling dimension for gp is, within numerical uncertainties, equal to 1/8. On this basis, we conjecture that the percolation transition along the K c (J) line is of the Berezinskii-Kosterlitz-Thouless type.

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