On the expected number of roots of a random Dirichlet polynomial

Let T>0 and consider the random Dirichlet polynomial ST(t)=Re∑n≤TXnn−1/2−it, where (Xn)n are i.i.d. Gaussian random variables with mean 0 and variance 1. We prove that the expected number of roots of ST(t) in the dyadic interval [T,2T], say EN(T), is approximately 2/3√ times the number of zeros of the Riemann ζ function in the critical strip up to height T. Moreover, we also compute the expected number of zeros in the same dyadic interval of the kth derivative of ST(t). Our proof requires the best upper bounds for the Riemann ζ function known up to date, and also estimates for the L2 averages of certain Dirichlet polynomials.

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Publication Details

Journal
Acta Arithmetica
Published
2025-09-26
DOI
https://doi.org/10.4064/aa240130-23-4
Primary Topic
Geometry and complex manifolds
Type
article
Field-Weighted Citation Impact
0.00

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article

On the expected number of roots of a random Dirichlet polynomial

Marco Aymone, Caio Bueno
Acta Arithmetica
Geometry and complex manifolds
article

On the expected number of roots of a random Dirichlet polynomial

Marco Aymone, Caio Bueno
article en

Abstract

Let T>0 and consider the random Dirichlet polynomial ST(t)=Re∑n≤TXnn−1/2−it, where (Xn)n are i.i.d. Gaussian random variables with mean 0 and variance 1. We prove that the expected number of roots of ST(t) in the dyadic interval [T,2T], say EN(T), is approximately 2/3√ times the number of zeros of the Riemann ζ function in the critical strip up to height T. Moreover, we also compute the expected number of zeros in the same dyadic interval of the kth derivative of ST(t). Our proof requires the best upper bounds for the Riemann ζ function known up to date, and also estimates for the L2 averages of certain Dirichlet polynomials.

Acta Arithmetica
Universidade Federal de Minas Gerais (BR)
Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado de Minas Gerais
Openalex Percentile: Top 68%
Geometry and complex manifolds
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