Dynamic critical exponent of the BFACF algorithm for self-avoiding walks

Sergio Caracciolo, Andrea Pelissetto, Alan D. Sokal

    Research output: Contribution to journalArticlepeer-review

    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 as τint, NR~ξ4R~〈N> 4 v.

    Original languageEnglish (US)
    Pages (from-to)857-865
    Number of pages9
    JournalJournal of Statistical Physics
    Volume63
    Issue number5-6
    DOIs
    StatePublished - Jun 1991

    Keywords

    • BFACF algorithm
    • Monte Carlo
    • Self-avoiding walk
    • dynamic critical exponent
    • polymer

    ASJC Scopus subject areas

    • Statistical and Nonlinear Physics
    • Mathematical Physics

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