Spectral algorithms in higher-order Fourier analysis

Fuente: arXiv
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Main Authors: Candela, Pablo, González-Sánchez, Diego, Szegedy, Balázs
Format: Preprint
Published: 2025
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author Candela, Pablo
González-Sánchez, Diego
Szegedy, Balázs
author_facet Candela, Pablo
González-Sánchez, Diego
Szegedy, Balázs
contents Our goal is to provide simple and practical algorithms in higher-order Fourier analysis which are based on spectral decompositions of operators. We propose a general framework for such algorithms and provide a detailed analysis of the quadratic case. Our results reveal new spectral aspects of the theory underlying higher-order Fourier analysis. Along these lines, we prove new inverse and regularity theorems for the Gowers norms based on higher-order character decompositions. Using these results, we prove a spectral inverse theorem and a spectral regularity theorem in quadratic Fourier analysis.
format Preprint
id arxiv_https___arxiv_org_abs_2501_12287
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Spectral algorithms in higher-order Fourier analysis
Candela, Pablo
González-Sánchez, Diego
Szegedy, Balázs
Combinatorics
Spectral Theory
Our goal is to provide simple and practical algorithms in higher-order Fourier analysis which are based on spectral decompositions of operators. We propose a general framework for such algorithms and provide a detailed analysis of the quadratic case. Our results reveal new spectral aspects of the theory underlying higher-order Fourier analysis. Along these lines, we prove new inverse and regularity theorems for the Gowers norms based on higher-order character decompositions. Using these results, we prove a spectral inverse theorem and a spectral regularity theorem in quadratic Fourier analysis.
title Spectral algorithms in higher-order Fourier analysis
topic Combinatorics
Spectral Theory
url https://arxiv.org/abs/2501.12287