Cokernels of random matrix products and flag Cohen--Lenstra heuristic

Fuente: arXiv
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Autore principale: Huang, Yifeng
Natura: Preprint
Pubblicazione: 2024
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author Huang, Yifeng
author_facet Huang, Yifeng
contents In [NVP22], Nguyen and Van Peski raised the question of whether the surjective flag of $\mathbb Z_p$-modules modeled by $\mathrm{cok}(M_1\cdots M_k)\twoheadrightarrow \dots\twoheadrightarrow \mathrm{cok}(M_1)$ for independent random matrices $M_1,\dots,M_k\in \mathrm{Mat}_n(\mathbb Z_p)$ satisfies the Cohen--Lenstra heuristic. We answer the question affirmatively when $M_1,\dots,M_k$ follow the Haar measure, and our proof demonstrates how classical ideas in Cohen--Lenstra heuristic adapt naturally to the flag setting. We also prove an analogue for non-square matrices.
format Preprint
id arxiv_https___arxiv_org_abs_2403_09909
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Cokernels of random matrix products and flag Cohen--Lenstra heuristic
Huang, Yifeng
Number Theory
Combinatorics
Probability
In [NVP22], Nguyen and Van Peski raised the question of whether the surjective flag of $\mathbb Z_p$-modules modeled by $\mathrm{cok}(M_1\cdots M_k)\twoheadrightarrow \dots\twoheadrightarrow \mathrm{cok}(M_1)$ for independent random matrices $M_1,\dots,M_k\in \mathrm{Mat}_n(\mathbb Z_p)$ satisfies the Cohen--Lenstra heuristic. We answer the question affirmatively when $M_1,\dots,M_k$ follow the Haar measure, and our proof demonstrates how classical ideas in Cohen--Lenstra heuristic adapt naturally to the flag setting. We also prove an analogue for non-square matrices.
title Cokernels of random matrix products and flag Cohen--Lenstra heuristic
topic Number Theory
Combinatorics
Probability
url https://arxiv.org/abs/2403.09909