Paucity phenomena for polynomial products

Fuente: arXiv
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Autores principales: Wang, Victor Y., Xu, Max Wenqiang
Formato: Preprint
Publicado: 2022
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author Wang, Victor Y.
Xu, Max Wenqiang
author_facet Wang, Victor Y.
Xu, Max Wenqiang
contents Let $P(x)\in \mathbb{Z}[x]$ be a polynomial with at least two distinct complex roots. We prove that the number of solutions $(x_1, \dots, x_k, y_1, \dots, y_k)\in [N]^{2k}$ to the equation \[ \prod_{1\le i \le k} P(x_i) = \prod_{1\le j \le k} P(y_j)\neq 0 \] (for any $k\ge 1$) is asymptotically $k!N^{k}$ as $N\to +\infty$. This solves a question first proposed and studied by Najnudel. The result can also be interpreted as saying that all even moments of random partial sums $\frac{1}{\sqrt{N}}\sum_{n\le N}f(P(n))$ match standard complex Gaussian moments as $N\to +\infty$, where $f$ is the Steinhaus random multiplicative function.
format Preprint
id arxiv_https___arxiv_org_abs_2211_02908
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Paucity phenomena for polynomial products
Wang, Victor Y.
Xu, Max Wenqiang
Number Theory
Probability
Let $P(x)\in \mathbb{Z}[x]$ be a polynomial with at least two distinct complex roots. We prove that the number of solutions $(x_1, \dots, x_k, y_1, \dots, y_k)\in [N]^{2k}$ to the equation \[ \prod_{1\le i \le k} P(x_i) = \prod_{1\le j \le k} P(y_j)\neq 0 \] (for any $k\ge 1$) is asymptotically $k!N^{k}$ as $N\to +\infty$. This solves a question first proposed and studied by Najnudel. The result can also be interpreted as saying that all even moments of random partial sums $\frac{1}{\sqrt{N}}\sum_{n\le N}f(P(n))$ match standard complex Gaussian moments as $N\to +\infty$, where $f$ is the Steinhaus random multiplicative function.
title Paucity phenomena for polynomial products
topic Number Theory
Probability
url https://arxiv.org/abs/2211.02908