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arxiv: hep-lat/0402019 · v1 · submitted 2004-02-17 · ✦ hep-lat · cond-mat.stat-mech· math-ph· math.MP

Dynamic critical behavior of the Swendsen--Wang Algorithm for the three-dimensional Ising model

classification ✦ hep-lat cond-mat.stat-mechmath-phmath.MP
keywords criticaldynamicerrorfindalgorithmapproxassociatedautocorrelation
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We have performed a high-precision Monte Carlo study of the dynamic critical behavior of the Swendsen-Wang algorithm for the three-dimensional Ising model at the critical point. For the dynamic critical exponents associated to the integrated autocorrelation times of the "energy-like" observables, we find z_{int,N} = z_{int,E} = z_{int,E'} = 0.459 +- 0.005 +- 0.025, where the first error bar represents statistical error (68% confidence interval) and the second error bar represents possible systematic error due to corrections to scaling (68% subjective confidence interval). For the "susceptibility-like" observables, we find z_{int,M^2} = z_{int,S_2} = 0.443 +- 0.005 +- 0.030. For the dynamic critical exponent associated to the exponential autocorrelation time, we find z_{exp} \approx 0.481. Our data are consistent with the Coddington-Baillie conjecture z_{SW} = \beta/\nu \approx 0.5183, especially if it is interpreted as referring to z_{exp}.

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