The central limit theorem for entries of random matrices with specific rank over finite fields

Fuente: arXiv
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Main Authors: Chan, Chin Hei, Xiong, Maosheng
Format: Preprint
Published: 2024
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author Chan, Chin Hei
Xiong, Maosheng
author_facet Chan, Chin Hei
Xiong, Maosheng
contents Let $\mathbb{F}_q$ be the finite field of order $q$, and $\mathcal{A}$ a non-empty proper subset of $\mathbb{F}_q$. Let $\mathbf{M}$ be a random $m \times n$ matrix of rank $r$ over $\mathbb{F}_q$ taken with uniform distribution. It was proved recently by Sanna that as $m,n \to \infty$ and $r,q,\mathcal{A}$ are fixed, the number of entries of $\mathbf{M}$ in $\mathcal{A}$ approaches a normal distribution. The question was raised as to whether or not one can still obtain a central limit theorem of some sort when $r$ goes to infinity in a way controlled by $m$ and $n$. In this paper we answer this question affirmatively.
format Preprint
id arxiv_https___arxiv_org_abs_2409_10412
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle The central limit theorem for entries of random matrices with specific rank over finite fields
Chan, Chin Hei
Xiong, Maosheng
Number Theory
Combinatorics
15B52, 11T99, 05C50, 60F05
Let $\mathbb{F}_q$ be the finite field of order $q$, and $\mathcal{A}$ a non-empty proper subset of $\mathbb{F}_q$. Let $\mathbf{M}$ be a random $m \times n$ matrix of rank $r$ over $\mathbb{F}_q$ taken with uniform distribution. It was proved recently by Sanna that as $m,n \to \infty$ and $r,q,\mathcal{A}$ are fixed, the number of entries of $\mathbf{M}$ in $\mathcal{A}$ approaches a normal distribution. The question was raised as to whether or not one can still obtain a central limit theorem of some sort when $r$ goes to infinity in a way controlled by $m$ and $n$. In this paper we answer this question affirmatively.
title The central limit theorem for entries of random matrices with specific rank over finite fields
topic Number Theory
Combinatorics
15B52, 11T99, 05C50, 60F05
url https://arxiv.org/abs/2409.10412