High and odd moments in the Erdős--Kac theorem

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1. Verfasser: Gorodetsky, Ofir
Format: Preprint
Veröffentlicht: 2024
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author Gorodetsky, Ofir
author_facet Gorodetsky, Ofir
contents Granville and Soundararajan showed that the $k$th moment in the Erdős--Kac theorem is equal to the $k$th moment of the standard Gaussian distribution in the range $k=o((\log \log x)^{1/3})$, up to a negligible error term. We show that their range is sharp: when $k/(\log \log x)^{1/3}$ tends to infinity, a different behavior emerges, and odd moments start exhibiting similar growth to even moments. For odd $k$ we find the asymptotics of the $k$th moment when $k=O((\log \log x)^{1/3})$, where previously only an upper bound was known. Our methods are flexible and apply to other distributions, including the Poisson distribution, whose centered moments turn out to be excellent approximations for the Erdős--Kac moments.
format Preprint
id arxiv_https___arxiv_org_abs_2501_00351
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle High and odd moments in the Erdős--Kac theorem
Gorodetsky, Ofir
Number Theory
Probability
Granville and Soundararajan showed that the $k$th moment in the Erdős--Kac theorem is equal to the $k$th moment of the standard Gaussian distribution in the range $k=o((\log \log x)^{1/3})$, up to a negligible error term. We show that their range is sharp: when $k/(\log \log x)^{1/3}$ tends to infinity, a different behavior emerges, and odd moments start exhibiting similar growth to even moments. For odd $k$ we find the asymptotics of the $k$th moment when $k=O((\log \log x)^{1/3})$, where previously only an upper bound was known. Our methods are flexible and apply to other distributions, including the Poisson distribution, whose centered moments turn out to be excellent approximations for the Erdős--Kac moments.
title High and odd moments in the Erdős--Kac theorem
topic Number Theory
Probability
url https://arxiv.org/abs/2501.00351