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

Fuente: arXiv
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Main Author: Bach, Dominik R.
Format: Preprint
Published: 2023
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author Bach, Dominik R.
author_facet Bach, Dominik R.
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2301_04886
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Random vectors on the spin configuration of a Curie-Weiss model on Erdos-Renyi random graphs
Bach, Dominik R.
Probability
Mathematical Physics
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.
title Random vectors on the spin configuration of a Curie-Weiss model on Erdos-Renyi random graphs
topic Probability
Mathematical Physics
url https://arxiv.org/abs/2301.04886