On the limiting distribution of sums of random multiplicative functions
Abstract
We establish the limiting distribution of where is a Steinhaus random multiplicative function, answering a question of Harper. The distributional convergence is proved by applying the martingale central limit theorem to a suitably truncated sum. This truncation is inspired by work of Najnudel, Paquette, Simm and Vu on subcritical holomorphic multiplicative chaos setting, but analysed with a different conditioning argument generalised from Harper's work on fractional moments to circumvent integrability issues at criticality. A significant part of the proof is devoted to the convergence in probability of the associated partial Euler product to a critical multiplicative chaos measure, independent of the mild shift away from the critical line. Our approach to the universality of critical non-Gaussian multiplicative chaos bypasses the barrier analysis with the help of a modified second moment method, and employs a novel argument based on coupling and homogenisation by change of measure, which could be of independent interest.
Keywords
Cite
@article{arxiv.2508.12956,
title = {On the limiting distribution of sums of random multiplicative functions},
author = {Ofir Gorodetsky and Mo Dick Wong},
journal= {arXiv preprint arXiv:2508.12956},
year = {2025}
}
Comments
46 pages; source file identical to that of version 2, but re-compiled using TeX Live 2023 as temporary fix to wrong references and broken links associated with unintended behaviour of some LaTeX packages