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 approximate 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 Delta(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 cancellation of the leading analytic correction.

Correction-to-scaling exponents for two-dimensional self-avoiding walks / Sergio, Caracciolo; Anthony J., Guttmann; Iwan, Jensen; Pelissetto, Andrea; Andrew N., Rogers; Alan D., Sokal. - In: JOURNAL OF STATISTICAL PHYSICS. - ISSN 0022-4715. - STAMPA. - 120:5-6(2005), pp. 1037-1100. [10.1007/s10955-005-7004-3]

Correction-to-scaling exponents for two-dimensional self-avoiding walks

PELISSETTO, Andrea;
2005

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 approximate 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 Delta(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 cancellation of the leading analytic correction.
2005
conformal invariance; corrections to scaling; critical exponents; exact enumeration; monte carlo; pivot algorithm; polymer; self-avoiding walk; series expansion
01 Pubblicazione su rivista::01a Articolo in rivista
Correction-to-scaling exponents for two-dimensional self-avoiding walks / Sergio, Caracciolo; Anthony J., Guttmann; Iwan, Jensen; Pelissetto, Andrea; Andrew N., Rogers; Alan D., Sokal. - In: JOURNAL OF STATISTICAL PHYSICS. - ISSN 0022-4715. - STAMPA. - 120:5-6(2005), pp. 1037-1100. [10.1007/s10955-005-7004-3]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/74873
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