Law of the iterated logarithm for a random Dirichlet series

preprint2020arXivOpen access

Abstract

Let (Xn)n∈N(X_n)_{n\in \mathbb{N}} be a sequence of i.i.d. random variables with distribution P(X1=1)=P(X1=−1)=1/2\mathbb P(X_1=1)=\mathbb P(X_1=-1)=1/2. Let F(σ)=∑n=1∞Xnn−σF(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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