Escaping Chaos in Random Multiplicative Functions

Fuente: arXiv
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Main Author: Xu, Max Wenqiang
Format: Preprint
Published: 2026
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author Xu, Max Wenqiang
author_facet Xu, Max Wenqiang
contents Let $f(n)$ be a Steinhaus random multiplicative function. Let $A\subset [1, N]$ be a finite set of integers. We show that \[\frac{1}{\sqrt{|A|}} \sum_{n\in A} f(n) \xrightarrow[]{d} \mathcal{CN}(0,1)\] forces that $|A|=o(N)$. We prove that the $o(1)$ density is sharp by showing that for most sets $A$, and thus confirm the existence, with density $ρ$ such that $(1-ρ)^{-1} =o((\log \log N)^{1/2})$, we have \[ \frac{1}{\sqrt{(1-ρ) |A|}} \sum_{n\in A} f(n) \xrightarrow{d} \mathcal{CN}(0,1). \] The extra factor $\sqrt{1-ρ}$ makes a difference as long as the density $ρ>0$.
format Preprint
id arxiv_https___arxiv_org_abs_2605_21737
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Escaping Chaos in Random Multiplicative Functions
Xu, Max Wenqiang
Number Theory
Probability
Let $f(n)$ be a Steinhaus random multiplicative function. Let $A\subset [1, N]$ be a finite set of integers. We show that \[\frac{1}{\sqrt{|A|}} \sum_{n\in A} f(n) \xrightarrow[]{d} \mathcal{CN}(0,1)\] forces that $|A|=o(N)$. We prove that the $o(1)$ density is sharp by showing that for most sets $A$, and thus confirm the existence, with density $ρ$ such that $(1-ρ)^{-1} =o((\log \log N)^{1/2})$, we have \[ \frac{1}{\sqrt{(1-ρ) |A|}} \sum_{n\in A} f(n) \xrightarrow{d} \mathcal{CN}(0,1). \] The extra factor $\sqrt{1-ρ}$ makes a difference as long as the density $ρ>0$.
title Escaping Chaos in Random Multiplicative Functions
topic Number Theory
Probability
url https://arxiv.org/abs/2605.21737