The critical behaviour of the long-range Potts chain from the largest cluster probability distribution

We present the numerical study of the one-dimensional Potts model with power-law decaying ferromagnetic interactions. The largest cluster probability distribution is obtained by Monte Carlo simulations using the Swendsen–Wang cluster algorithm with cumulative probabilities. The finite-size scaling analysis of the largest cluster is used to derive the critical behaviour in the non-classical regime of this model for various values of q.

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Year of publication:	2002
Authors:	Uzelac, Katarina ; Glumac, Zvonko
Published in:	Physica A: Statistical Mechanics and its Applications. - Elsevier, ISSN 0378-4371. - Vol. 314.2002, 1, p. 448-453
Publisher:	Elsevier
Subject:	Phase transitions \| q-state Potts model \| Long-range interactions \| Monte-Carlo simulations

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://ebvufind01.dmz1.zbw.eu/10010874939