Cayley 树上硬核-实体-实体模型的 Gibbs 度量

IF 2.2 3区 物理与天体物理 Q2 MECHANICS Journal of Statistical Mechanics: Theory and Experiment Pub Date : 2024-07-09 DOI:10.1088/1742-5468/ad5433
Benedikt Jahnel and Utkir Rozikov
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引用次数: 0

摘要

我们研究了有序 Cayley 树上的有限状态 p-固-固(p-SOS)模型,并建立了一个函数方程组,其中每个解对应于模型的一个(分裂)吉布斯量。我们的主要结果是,对于三个状态和不断增加的耦合强度,平移不变吉布斯量的数量表现为 。这个相图与 p > 0 的三态 p-SOS 模型的相图在性质上非常相似,而且在 k = 2 的情况下,我们证明了在函数方程的层面上,过渡是连续的。
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Gibbs measures for hardcore-solid-on-solid models on Cayley trees
We investigate the finite-state p-solid-on-solid (p-SOS) model for on Cayley trees of order and establish a system of functional equations where each solution corresponds to a (splitting) Gibbs measure of the model. Our main result is that, for three states, and increasing coupling strength, the number of translation-invariant Gibbs measures behaves as . This phase diagram is qualitatively similar to the one observed for three-state p-SOS models with p > 0 and, in the case of k = 2, we demonstrate that, on the level of the functional equations, the transition is continuous.
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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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