Dynamic critical behavior of a Swendsen-Wang-type algorithm for the Ashkin-Teller model

被引:34
作者
Salas, J
Sokal, AD
机构
[1] Department of Physics, New York University, New York
关键词
Ashkin-Teller model; Ising model; Potts model; Monte Carlo; dynamical critical behavior; cluster algorithm; Swendsen-Wang algorithm; Li-Sokal bound; critical slowing down; autocorrelation time; fitting correlated data;
D O I
10.1007/BF02174209
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
We study the dynamic critical behavior of a Swendsen-Wang-type algorithm for the Ashkin-Teller model. We find that the Li-Sokal bound on the autocorrelation time (tau(int), g greater than or equal to constxC(H)) holds along the self-dual curve of the symmetric Ashkin-Teller model, and is almost, but not quite sharp. The ratio tau(int)epsilon/C-H appears to tend to infinity either as a logarithm or as a small power (0.05 less than or similar to P less than or similar to 0.12). In an appendix we discuss the problem of extracting estimates of the exponential autocorrelation time.
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页码:297 / 361
页数:65
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