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Bibliographic Details
Main Author: Sawin, Will
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2409.02876
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author Sawin, Will
author_facet Sawin, Will
contents We propose a refinement of the random matrix model for a certain family of $L$-functions over $\mathbb F_q[u]$, using techniques that we hope will eventually apply to an arbitrary family of $L$-functions. This consists of a probability distribution on power series in $q^{-s}$ which combines properties of the characteristic polynomials of Haar-random unitary matrices and random Euler products over $\mathbb F_q[u]$. The support of our distribution is contained in the intersection of the supports of the two original distributions. The expectations of low-degree polynomials in the coefficients of our series approximate the expectations of the same polynomials in the coefficients of random Euler products, while the expectations of high-degree polynomials approximate the expectations of the same polynomials in the coefficients of the characteristic polynomials of random matrices. Furthermore, the expectations of absolute powers of our series approximate the Conrey-Farmer-Keating-Rubinstein-Snaith/Andrade-Keating prediction for the moments of our family of $L$-functions.
format Preprint
id arxiv_https___arxiv_org_abs_2409_02876
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A refined random matrix model for function field L-functions
Sawin, Will
Number Theory
Probability
We propose a refinement of the random matrix model for a certain family of $L$-functions over $\mathbb F_q[u]$, using techniques that we hope will eventually apply to an arbitrary family of $L$-functions. This consists of a probability distribution on power series in $q^{-s}$ which combines properties of the characteristic polynomials of Haar-random unitary matrices and random Euler products over $\mathbb F_q[u]$. The support of our distribution is contained in the intersection of the supports of the two original distributions. The expectations of low-degree polynomials in the coefficients of our series approximate the expectations of the same polynomials in the coefficients of random Euler products, while the expectations of high-degree polynomials approximate the expectations of the same polynomials in the coefficients of the characteristic polynomials of random matrices. Furthermore, the expectations of absolute powers of our series approximate the Conrey-Farmer-Keating-Rubinstein-Snaith/Andrade-Keating prediction for the moments of our family of $L$-functions.
title A refined random matrix model for function field L-functions
topic Number Theory
Probability
url https://arxiv.org/abs/2409.02876