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Canonical Monte Carlo determination of the connective constant of self-avoiding walks

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A Rechnitzer1 and E J Janse van Rensburg2

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LETTER TO THE EDITOR

We define a statistic an(w), the size of the atmosphere of a self-avoiding walk, w, of length n, with the property that langlean(w)rangle → μ as n, where μ is the growth constant of lattice self-avoiding walks. Both μ and the entropic exponent γ may be estimated to high precision from langlea(w)rangle using canonical Monte Carlo simulations of self-avoiding walks. Previous Monte Carlo measurements of μ and γ have used grand canonical Monte Carlo simulations. Our simulations indicate that μ → 2.63816 ± 0.00006 and γ = 1.345 ± 0.002. These results, based on a modest computer run, are comparable to the best estimates for μ and γ from (grand canonical) Monte Carlo simulations, and are at most two digits of the best series estimates of μ for self-avoiding walks available in the literature.


PACS

05.50.+q Lattice theory and statistics (Ising, Potts, etc.)

02.70.Uu Applications of Monte Carlo methods

MSC

82C80 Numerical methods (Monte Carlo, series resummation, etc.)

65C05 Monte Carlo methods

Subjects

Computational physics

Statistical physics and nonlinear systems

Dates

Issue 42 (25 October 2002)

Received 21 August 2002

Published 8 October 2002



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