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Dynamic critical behavior of cluster algorithms for 2D Ashkin-Teller and Potts models by Salas, J. is a scholarly article available to read on EtoBox.
What is Dynamic critical behavior of cluster algorithms for 2D Ashkin-Teller and Potts models about?
We study the dynamic critical behavior of two algorithms: the Swendsen-Wang algorithm for the two-dimensional Potts model with q=2,3,4 and a Swendsen-Wang-type algorithm for the two-dimensional symmetric Ashkin-Teller model on the self-dual curve. We find that the Li--Sokal bound on the autocorrelation time \tau_{{\rm int},{\cal E}} \geq const \times C_H is almost, but not quite sharp. The ratio \tau_{{\rm int},{\cal E}}/C_H appears to tend to infinity either as a logarithm or as a small power (0.05 \ltapprox p \ltapprox 0.12). We also show that the exponential autocorrelation time \tau_{{\rm exp},{\cal E}} is proportional to the integrated autocorrelation time \tau_{{\rm int},{\cal E}}.
- Author
- Salas, J.
- Published
- 2000
- Language
- EN