Correction-to-Scaling Exponents for Two-Dimensional Self-Avoiding Walks

نویسندگان

  • Sergio Caracciolo
  • Anthony J. Guttmann
  • Iwan Jensen
  • Andrea Pelissetto
  • Andrew N. Rogers
  • Alan D. Sokal
چکیده

We study the correction-to-scaling exponents for the two-dimensional selfavoiding 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 ∆1 = 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 unexpected cancellation of the leading analytic correction.

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تاریخ انتشار 2004