Critical exponents,hyperscaling, and universal amplitude ratios for two- and three-dimensional self-avoiding walks |
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Authors: | Bin Li Neal Madras Alan D Sokal |
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Institution: | (1) Debt and Equity Markets Group, Merrill Lynch, World Financial Center, 10281-1315 New York, New York;(2) Department of Physics, New York University, 10003 New York, New York;(3) Department of Mathematics and Statistics, York University, M3J 1P3 North York, Ontario, Canada |
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Abstract: | We make a high-precision Monte Carlo study of two- and three-dimensional self-avoiding walks (SAWs) of length up to 80,000 steps, using the pivot algorithm and the Karp-Luby algorithm. We study the critical exponentsv and 2
4 – as well as several universal amplitude ratios; in particular, we make an extremely sensitive test of the hyperscaling relationdv = 2
4 –. In two dimensions, we confirm the predicted exponentv=3/4 and the hyperscaling relation; we estimate the universal ratios <R
g
2
>/<R
e
2
>=0.14026±0.00007, <R
m
2
>/<R
e
2
>=0.43961±0.00034, and *=0.66296±0.00043 (68% confidence limits). In three dimensions, we estimatev=0.5877±0.0006 with a correctionto-scaling exponent
1=0.56±0.03 (subjective 68% confidence limits). This value forv agrees excellently with the field-theoretic renormalization-group prediction, but there is some discrepancy for
1. Earlier Monte Carlo estimates ofv, which were 0.592, are now seen to be biased by corrections to scaling. We estimate the universal ratios <R
g
2
>/<R
e
2
>=0.1599±0.0002 and *=0.2471±0.0003; since *>0, hyperscaling holds. The approach to * is from above, contrary to the prediction of the two-parameter renormalization-group theory. We critically reexamine this theory, and explain where the error lies. In an appendix, we prove rigorously (modulo some standard scaling assumptions) the hyperscaling relationdv = 2
4 – for two-dimensional SAWs. |
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Keywords: | Self-avoiding walk polymer critical exponent hyperscaling universal amplitude ratio second virial coefficient interpenetration ratio renormalization group two-parameter theory Monte Carlo pivot algorithm Karp-Luby algorithm |
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