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Correction-to-Scaling Exponents for Two-Dimensional Self-Avoiding Walks
Authors:Sergio Caracciolo  Anthony J Guttmann  Iwan Jensen  Andrea Pelissetto  Andrew N Rogers  Alan D Sokal
Institution:(1) Dip. di Fisica and INFN, Università di Milano, via Celoria 16, I-20133 Milano, Italy;(2) Department of Mathematics and Statistics, University of Melbourne, Vic., 3010, Australia;(3) Dip. di Fisica and INFN–Sezione di Roma I, Università di Roma I, I-00185 Roma, Italy;(4) Department of Physics, New York University, 4 Washington Place, New York, NY 10003, USA
Abstract:We study the correction-to-scaling exponents for the two-dimensional self-avoiding walk, using a combination of series-extrapolation and Monte Carlo methods. We enumerate all self-avoiding walks up to 59 steps on the square lattice, and up to 40 steps on the triangular lattice, measuring the mean-square end-to-end distance, the mean-square radius of gyration and the mean-square distance of a monomer from the endpoints. The complete endpoint distribution is also calculated for self-avoiding walks up to 32 steps (square) and up to 22 steps (triangular). We also generate self-avoiding walks on the square lattice by Monte Carlo, using the pivot algorithm, obtaining the mean-square radii to ≈ 0.01% accuracy up to N=4000. We give compelling evidence that the first non-analytic correction term for two-dimensional self-avoiding walks is Δ1=3/2. We compute several moments of the endpoint distribution function, finding good agreement with the field-theoretic predictions. Finally, we study a particular invariant ratio that can be shown, by conformal-field-theory arguments, to vanish asymptotically, and we find the cancellation of the leading analytic correction.
Keywords:Self-avoiding walk  polymer  exact enumeration  series expansion  Monte Carlo  pivot algorithm  corrections to scaling  critical exponents  conformal invariance
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