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Moments of random multiplicative functions with polynomial coefficients

Xinyu Wang

Source record

Source: arXiv

Published: Sep 28, 2026

arXiv: 2609.35187

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Source abstract

Let ff be a Steinhaus random multiplicative function and let gg be a polynomial of degree dd. Write SN=N−1/2∑n≤Nf(n) e(g(n))S_N=N^{-1/2}\sum_{n\le N}f(n)\,e(g(n)). We prove a quantitative dichotomy for the moments of SNS_N: for each integer s≥2s\ge 2, either E∣SN∣2s\mathbb{E}|S_N|^{2s} is close to the Gaussian moment s!s!, or the coefficients of gg can be approximated by rationals with a small denominator. In particular, if the coefficients of gg satisfy a Diophantine condition, then SNS_N converges in law to a complex normal distribution with mean 00 and variance 11. Lean 4 code for the proofs is provided, for convenience of verification.

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