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具有周期性边界条件的五维Fortuin-Kasteleyn伊辛模型中的完全图与高斯不动点渐近性

Complete graph and Gaussian fixed-point asymptotics in the five-dimensional Fortuin-Kasteleyn Ising model with periodic boundaries.

作者信息

Fang Sheng, Grimm Jens, Zhou Zongzheng, Deng Youjin

机构信息

Hefei National Laboratory for Physical Sciences at Microscale and Department of Modern Physics, University of Science and Technology of China, Hefei, Anhui 230026, China.

ARC Centre of Excellence for Mathematical and Statistical Frontiers, School of Mathematics, Monash University, Clayton, Victoria 3800, Australia.

出版信息

Phys Rev E. 2020 Aug;102(2-1):022125. doi: 10.1103/PhysRevE.102.022125.

Abstract

We present an extensive Markov chain Monte Carlo study of the finite-size scaling behavior of the Fortuin-Kasteleyn Ising model on five-dimensional hypercubic lattices with periodic boundary conditions. We observe that physical quantities, which include the contribution of the largest cluster, exhibit complete graph asymptotics. However, for quantities where the contribution of the largest cluster is removed, we observe that the scaling behavior is mainly controlled by the Gaussian fixed point. Our results therefore suggest that both scaling predictions, i.e., the complete graph and the Gaussian fixed point asymptotics, are needed to provide a complete description for the five-dimensional finite-size scaling behavior on the torus.

摘要

我们对具有周期性边界条件的五维超立方晶格上的Fortuin-Kasteleyn伊辛模型的有限尺寸标度行为进行了广泛的马尔可夫链蒙特卡罗研究。我们观察到,包括最大团簇贡献在内的物理量呈现出完全图渐近性。然而,对于去除了最大团簇贡献的量,我们观察到标度行为主要由高斯不动点控制。因此,我们的结果表明,为了完整描述环面上的五维有限尺寸标度行为,需要完整图和高斯不动点渐近性这两种标度预测。

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