Nearly-symmetric matrices in the Cohen-Lenstra universality class

Fuente: arXiv
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Autore principale: Gorokhovsky, Elia
Natura: Preprint
Pubblicazione: 2026
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author Gorokhovsky, Elia
author_facet Gorokhovsky, Elia
contents In this paper, we study cokernels of random $n\times n$ matrices over $\mathbb Z$ with symmetry conditions determined by fixed alternating bilinear forms on $\mathbb Z^n$. These include perturbations of random symmetric matrices at a very small (but unbounded with $n$) number of entries. We show that, subject to fairly weak conditions on the distributions of the entries, the distribution of these cokernels converges weakly to the Cohen-Lenstra distribution, which is the limiting distribution of cokernels of random matrices with no symmetry constraints. This result demonstrates that the cokernel distributions of symmetric matrices are quite sensitive to small perturbations of the symmetry conditions.
format Preprint
id arxiv_https___arxiv_org_abs_2603_01432
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Nearly-symmetric matrices in the Cohen-Lenstra universality class
Gorokhovsky, Elia
Probability
In this paper, we study cokernels of random $n\times n$ matrices over $\mathbb Z$ with symmetry conditions determined by fixed alternating bilinear forms on $\mathbb Z^n$. These include perturbations of random symmetric matrices at a very small (but unbounded with $n$) number of entries. We show that, subject to fairly weak conditions on the distributions of the entries, the distribution of these cokernels converges weakly to the Cohen-Lenstra distribution, which is the limiting distribution of cokernels of random matrices with no symmetry constraints. This result demonstrates that the cokernel distributions of symmetric matrices are quite sensitive to small perturbations of the symmetry conditions.
title Nearly-symmetric matrices in the Cohen-Lenstra universality class
topic Probability
url https://arxiv.org/abs/2603.01432