西尔平斯基垫圈和河内晶格上波茨模型的精确分割函数

IF 2.2 3区 物理与天体物理 Q2 MECHANICS
P D Alvarez
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引用次数: 0

摘要

我们介绍了对西尔平斯基网格和河内网格上波特斯模型分割函数的分析研究,这两个网格是具有非整数豪斯多夫维度的三角形自相似网格。这两个晶格都是小于二维的非三维热力学的例子,其中均值场理论并不适用。我们使用并解释了一种基于图论和重正化群理论的方法,以推导出与受限分区函数类似的适当变量的精确方程。我们用 Metropolis 蒙特卡罗模拟对我们的方法进行了基准测试。对定点的分析揭示了费雪零点的位置信息,我们根据吸引力盆地的边界对零点的位置提出了猜想。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exact partition function of the Potts model on the Sierpinski gasket and the Hanoi lattice
We present an analytic study of the Potts model partition function on the Sierpinski and Hanoi lattices, which are self-similar lattices of triangular shape with non integer Hausdorff dimension. Both lattices are examples of non-trivial thermodynamics in less than two dimensions, where mean field theory does not apply. We used and explain a method based on ideas of graph theory and renormalization group theory to derive exact equations for appropriate variables that are similar to the restricted partition functions. We benchmark our method with Metropolis Monte Carlo simulations. The analysis of fixed points reveals information of location of the Fisher zeros and we provide a conjecture about the location of zeros in terms of the boundary of the basins of attraction.
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来源期刊
CiteScore
4.50
自引率
12.50%
发文量
210
审稿时长
1.0 months
期刊介绍: JSTAT is targeted to a broad community interested in different aspects of statistical physics, which are roughly defined by the fields represented in the conferences called ''Statistical Physics''. Submissions from experimentalists working on all the topics which have some ''connection to statistical physics are also strongly encouraged. The journal covers different topics which correspond to the following keyword sections. 1. Quantum statistical physics, condensed matter, integrable systems Scientific Directors: Eduardo Fradkin and Giuseppe Mussardo 2. Classical statistical mechanics, equilibrium and non-equilibrium Scientific Directors: David Mukamel, Matteo Marsili and Giuseppe Mussardo 3. Disordered systems, classical and quantum Scientific Directors: Eduardo Fradkin and Riccardo Zecchina 4. Interdisciplinary statistical mechanics Scientific Directors: Matteo Marsili and Riccardo Zecchina 5. Biological modelling and information Scientific Directors: Matteo Marsili, William Bialek and Riccardo Zecchina
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