Dynamic critical behavior of cluster algorithms for 2D Ashkin-Teller and Potts models

dc.creatorSalas, J.
dc.date2000-04-19
dc.date.accessioned2026-07-07T02:37:25Z
dc.date.available2026-07-07T02:37:25Z
dc.descriptionWe study the dynamic critical behavior of two algorithms: the Swendsen-Wang algorithm for the two-dimensional Potts model with q=2,3,4 and a Swendsen-Wang-type algorithm for the two-dimensional symmetric Ashkin-Teller model on the self-dual curve. We find that the Li--Sokal bound on the autocorrelation time τ_{{\rm int},{\cal E}} \geq const \times C_H is almost, but not quite sharp. The ratio τ_{{\rm int},{\cal E}}/C_H appears to tend to infinity either as a logarithm or as a small power (0.05 \ltapprox p \ltapprox 0.12). We also show that the exponential autocorrelation time τ_{{\rm exp},{\cal E}} is proportional to the integrated autocorrelation time τ_{{\rm int},{\cal E}}.
dc.description19 pages, LaTeX2e. Self-unpacking file containing the tex file, three macros and four ps files. Talk presented at the conference on Inhomogeneous Random Systems, Université de Cergy-Pontoise, 25 January 2000. To appear in Markov Processes and Related Fields
dc.identifierhttps://arxiv.org/abs/cond-mat/0004329
dc.identifierhttp://arxiv.org/abs/cond-mat/0004329
dc.identifierMarkov Process. Related Fields 7 (2001) 55-74
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/16283
dc.subjectStatistical Mechanics
dc.subjectHigh Energy Physics - Lattice
dc.titleDynamic critical behavior of cluster algorithms for 2D Ashkin-Teller and Potts models
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