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Dynamic critical exponent of the BFACF algorithm for self-avoiding walks
Authors:Sergio Caracciolo  Andrea Pelissetto  Alan D Sokal
Institution:(1) Scuola Normale Superiore and INFN-Sezione di Pisa, 56100 Pisa, Italy;(2) Department of Physics, Princeton University, 08544 Princeton, New Jersey;(3) Department of Physics, New York University, 10003 New York, New York
Abstract:We study the dynamic critical behavior of the BFACF algorithm for generating self-avoiding walks with variable length and fixed endpoints. We argue theoretically, and confirm by Monte Carlo simulations in dimensions 2, 3, and 4, that the autocorrelation time scales astau int,N R~xgr4R~langN> 4v .This paper is dedicated to our friend and colleague Jerry Percus on the occasion of his 65th birthday.
Keywords:Self-avoiding walk  polymer  Monte Carlo  BFACF algorithm  dynamic critical exponent
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