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Main Authors: Chen, Hong-Bin, Issa, Victor
Format: Preprint
Published: 2026
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Online Access:https://arxiv.org/abs/2603.12033
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author Chen, Hong-Bin
Issa, Victor
author_facet Chen, Hong-Bin
Issa, Victor
contents This paper constitutes the first part of a two-paper series devoted to the systematic study of vector spin glass models whose energy function involves a spin glass part and a general Mattis interaction part. In this paper, we focus on models whose spin glass part satisfies the usual convexity assumption. We identify the limit free energy via a Parisi-type formula and prove a large deviation principle for the mean magnetization. The proof is remarkably simple and short compared to previous approaches; it relies on treating the Mattis interaction as a parameter of the model. In the companion paper, we establish similar results in the high-temperature regime for models whose spin glass part is not assumed to satisfy the usual convexity assumption.
format Preprint
id arxiv_https___arxiv_org_abs_2603_12033
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Vector spin glasses with Mattis interaction I: the convex case
Chen, Hong-Bin
Issa, Victor
Probability
Disordered Systems and Neural Networks
82B44, 60F10, 35F21
This paper constitutes the first part of a two-paper series devoted to the systematic study of vector spin glass models whose energy function involves a spin glass part and a general Mattis interaction part. In this paper, we focus on models whose spin glass part satisfies the usual convexity assumption. We identify the limit free energy via a Parisi-type formula and prove a large deviation principle for the mean magnetization. The proof is remarkably simple and short compared to previous approaches; it relies on treating the Mattis interaction as a parameter of the model. In the companion paper, we establish similar results in the high-temperature regime for models whose spin glass part is not assumed to satisfy the usual convexity assumption.
title Vector spin glasses with Mattis interaction I: the convex case
topic Probability
Disordered Systems and Neural Networks
82B44, 60F10, 35F21
url https://arxiv.org/abs/2603.12033