Cluster Monte Carlo study of the q-state potts model on hypercubic lattices

Chin-Kun Hu and Shian-Shyong Hsiao

Physica A: Statistical Mechanics and its Applications, 1992, vol. 184, issue 1, 192-200

Abstract: The q-state Potts model (QPM) may be related to many interesting mathematical problems and physical systems. Previous studies of the QPM have been restricted mainly to small q values. Using the connection between the QPM and the q-state bond-correlated percolation model (QBCPM) and Swendsen and Wang's cluster Monte Carlo simulation method, in this paper we study the QPM on d-dimensional hypercubic lattices with d being 3, 4, 5 and 6, and q being 2, 3, 4, 8, 16, 32, 64, 128, 256, 512, 1024 and 2048. For q=2 where phase transitions are second order, a percolation Monte Carlo renormalization group method is used to determine more accurate critical points. We find that in the studied space dimensions, the critical points increase slowly with q. As q increases, the critical points for different d approach to each other such that when q=2048 the absolute values of the differences between such critical points are less than 1.1%. We also discuss some related theoretical problems, including implications of our results to the percolation theory of supercooled water.

Date: 1992
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:184:y:1992:i:1:p:192-200

DOI: 10.1016/0378-4371(92)90166-N

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