HIGH-PRECISION MONTE-CARLO TEST OF THE CONFORMAL-INVARIANCE PREDICTIONS FOR 2-DIMENSIONAL MUTUALLY AVOIDING WALKS

被引:10
|
作者
LI, B
SOKAL, AD
机构
[1] Department of Physics, New York University, New York
关键词
MONTE-CARLO; CONFORMAL INVARIANCE; RANDOM WALK; MUTUALLY-AVOIDING WALKS; SELF-AVOIDING WALK; MAXIMUM-LIKELIHOOD ESTIMATION;
D O I
10.1007/BF01027299
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Let zeta-1 be the critical exponent associated with the probability that l independent N-step ordinary random walks, starting at nearby points, are mutually avoiding. Using Monte Carlo methods combined with a maximum-likelihood data analysis, we find that in two dimensions zeta-2 = 0.6240 +/- 0.0005 +/- 0.0011 and zeta-3 = 1.4575 +/- 0.0030 +/- 0.0052, where the first error bar represents systematic error due to corrections to scaling (subjective 95% confidence limits) and the second error bar represents statistical error (classical 95% confidence limits). These results are in good agreement with the conformal-invariance predictions zeta-2 = 5/8 and zeta-3 = 35/24.
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页码:723 / 748
页数:26
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