Limit theorems for random Dirichlet series

TL;DR

This paper establishes a functional limit theorem for a class of random Dirichlet series, demonstrating convergence of zero point processes and a law of the iterated logarithm in the real case, revealing universality and asymptotic behavior.

Contribution

It introduces a new functional limit theorem for random Dirichlet series with complex coefficients, including zero distribution convergence and a law of the iterated logarithm for the real case.

Findings

Zero point processes converge vaguely, indicating universality.

A law of the iterated logarithm is proved for the real case.

The series exhibits specific asymptotic behavior as the complex variable approaches 1/2.

Abstract

We prove a functional limit theorem in a space of analytic functions for the random Dirichlet series $D(\alpha;z)=\sum_{n\geq 2}(\log n)^{\alpha}(\eta_n+{\rm i} \theta_n)/n^z$, properly scaled and normalized, where $(\eta_n,\theta_n)_{n\in\mathbb{N}}$ is a sequence of independent copies of a centered $\mathbb{R}^2$-valued random vector $(\eta,\theta)$ with a finite second moment and $\alpha>-1/2$ is a fixed real parameter. As a consequence, we show that the point processes of complex and real zeros of $D(\alpha;z)$ converge vaguely, thereby obtaining a universality result. In the real case, that is, when $\mathbb{P}\{\theta=0\}=1$, we also prove a law of the iterated logarithm for $D(\alpha;z)$, properly normalized, as $z\to (1/2)+$.