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arXiv 2301.04886math.PRmath-phmath.MP
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Erdos-Renyi随机图上Curie-Weiss模型自旋构型上的随机向量

Random vectors on the spin configuration of a Curie-Weiss model on Erdos-Renyi random graphs

Dominik R. Bach

AI总结:

本文研究有向Erdős-Rényi随机图上稀释铁磁模型的渐近行为,将Curie-Weiss模型的大数定律和中心极限定理推广至$β<1$且$Np\longrightarrow\infty$的情形,并推导了两个不相交自旋群的相应结论。

摘要:

本文研究稀释铁磁模型中随机向量的渐近行为。我们考虑由Bovier & Gayrard (1993) 提出的在有向Erdős-Rényi随机图上具有铁磁相互作用的模型。这里,图节点之间的有向连接以概率p随机均匀抽取,p取决于节点数N,并允许在极限下趋于零。如果在此模型中$Np\longrightarrow\infty$,Bovier & Gayrard (1993) 证明了几乎必然的大数定律,Kabluchko et al. (2020) 证明了依概率的中心极限定理。在此,我们将这些结果推广到$β<1$且$Np\longrightarrow\infty$的情形。我们证明,自旋构型上所有在Curie-Weiss模型下具有极限分布的随机向量,在图实现的概率意义下弱收敛至稀释模型下的相同分布。这将Curie-Weiss模型的各种结果推广到了稀释模型。作为特例,我们推导了两个不相交自旋群的大数定律和中心极限定理。

英文摘要:

This article is concerned with the asymptotic behaviour of random vectors in a diluted ferromagnetic model. We consider a model introduced by Bovier & Gayrard (1993) with ferromagnetic interactions on a directed Erdős-Rényi random graph. Here, directed connections between graph nodes are uniformly drawn at random with a probability p that depends on the number of nodes N and is allowed to go to zero in the limit. If $Np\longrightarrow\infty$ in this model, Bovier & Gayrard (1993) proved a law of large numbers almost surely, and Kabluchko et al. (2020) proved central limit theorems in probability. Here, we generalise these results for $β<1$ in the regime $Np\longrightarrow\infty$. We show that all those random vectors on the spin configuration that have a limiting distribution under the Curie-Weiss model converge weakly towards the same distribution under the diluted model, in probability on graph realisations. This generalises various results from the Curie-Weiss model to the diluted model. As a special case, we derive a law of large numbers and central limit theorem for two disjoint groups of spins.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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