arXiv · 2004.10559
Law of the iterated logarithm for a random Dirichlet series
Abstract
Let $(X_n)_{n\in \mathbb{N}}$ be a sequence of i.i.d. random variables with distribution $\mathbb P(X_1=1)=\mathbb P(X_1=-1)=1/2$. Let $F(σ)=\sum_{n=1}^\infty X_nn^{-σ}$. We prove that the following holds almost surely \begin{equation*} \limsup_{σ\to 1/2^+}\frac{F(σ)}{\sqrt{2\mathbb E F(σ)^2\log\log \mathbb E F(σ)^2}}=1. \end{equation*}
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Marco Aymone, Susana Frómeta, Ricardo Misturini. 2020-07-23. Law of the iterated logarithm for a random Dirichlet series. https://doi.org/10.1214/20-ecp340
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