Published August 1995 | Version v1
Journal article

Critical exponents, hyperscaling, and universal amplitude ratios for two- and three-dimensional self-avoiding walks

  • 1. World Financial Center, New York, NY (United States)
  • 2. York Univ., North York, Ontario (Canada)
  • 3. New York Univ., NY (United States)

Description

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 exponents v and 2 triangle 4-γ as well as several universal amplitude ratios; in particular, we make an extremely sensitive test of the hyperscaling relation dv=2 triangle 4-γ. In two dimensions, we confirm the predicted exponent v=3/4 and the hyperscaling relation; we estimate the universal ratios / = 0.14026±0.00007, / = 0.43961±0.00034, and Ψ* = 0.66296±0.00043 (68% confidence limits). In three dimensions, we estimate v = 0.5877±0.0006 with a correction-to-scaling exponent triangle 1 = 0.56±0.03 (subjective 68% confidence limits). This value for v agrees excellently with the field-theoretic renormalization-group prediction, but there is some discrepancy for triangle 1. Earlier Monte Carlo estimates of v, which were ∼0.592, are now seen to be biased by corrections to scaling. We estimate the universal ratios / = 0.1599±0.0002 and Ψ* = 0.2471±0.0003; since Ψ* >0, hyperscaling holds. The approach to Ψ* 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 relation dv=2 triangle 4-γ for two-dimensional SAWs

Additional details

Publishing Information

Journal Title
Journal of Statistical Physics
Journal Volume
80
Journal Issue
3-4
Journal Page Range
p. 661-754.
ISSN
0022-4715
CODEN
JSTPBS

INIS

Country of Publication
United States
Country of Input or Organization
United States
INIS RN
27046756
Subject category
S75: CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY;
Resource subtype / Literary indicator
Numerical Data
Descriptors DEI
ALGORITHMS; MONTE CARLO METHOD; NUMERICAL DATA; POLYMERS; THREE-DIMENSIONAL CALCULATIONS; TWO-DIMENSIONAL CALCULATIONS
Descriptors DEC
CALCULATION METHODS; DATA; INFORMATION