Monte Carlo study of weighted percolation clusters relevant to the Potts models

Mark Sweeny
Phys. Rev. B 27, 4445 – Published 1 April 1983
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Abstract

The two-dimensional Potts models were simulated with the use of a Monte Carlo method. This study is unique in that we simulated the weighted percolation clusters first described by Kasteleyn and Fortuin in 1969. We describe an auxiliary data structure which enables us to determine the connectedness of large clusters very efficiently. Our simulation of the percolation problem was found not to be affected by a critical slowing down. Critical exponents were found by studying the size and shape of large clusters. Our results agree with previous studies done on integer values of q, and with the conjecture of den Nijs.

  • Received 30 August 1982

DOI:https://doi.org/10.1103/PhysRevB.27.4445

©1983 American Physical Society

Authors & Affiliations

Mark Sweeny

  • The Enrico Fermi Institute and the Department of Physics, The University of Chicago, Chicago, Illinois 60637

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Issue

Vol. 27, Iss. 7 — 1 April 1983

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