Binary tree summation Monte Carlo method for Potts models
Statistical Mechanics
2011-12-30 v1
Abstract
We give a new sampling algorithm for the Potts model based on the Fortuin-Kasteleyn transformation. The method produces independent samples and sums up a large number of configurations for each sweep. The partition function and thermodynamic averages for all values of the temperature can be computed from a single run. We compare the results with exact 2D Ising model.
Cite
@article{arxiv.cond-mat/0203264,
title = {Binary tree summation Monte Carlo method for Potts models},
author = {Jian-Sheng Wang and Oner Kozan and Robert H. Swendsen},
journal= {arXiv preprint arXiv:cond-mat/0203264},
year = {2011}
}
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5 LaTeX pages