Cubic Goldreich-Levin
Dain Kim, Anqi Li, Jonathan Tidor

TL;DR
This paper introduces a cubic Goldreich-Levin algorithm that decomposes functions over finite fields into cubic phases, advancing higher-order Fourier analysis and enabling applications like decoding Reed-Muller codes beyond traditional limits.
Contribution
It presents the first cubic Goldreich-Levin algorithm based on recent bounds for the $U^4$ inverse theorem, extending the classical linear case to cubic phases.
Findings
Developed a polynomial-query algorithm for cubic phase decomposition.
Achieved improved bounds for the $U^4$ inverse theorem.
Applied the algorithm to self-correct cubic Reed-Muller codes.
Abstract
In this paper, we give a cubic Goldreich-Levin algorithm which makes polynomially-many queries to a function and produces a decomposition of as a sum of cubic phases and a small error term. This is a natural higher-order generalization of the classical Goldreich-Levin algorithm. The classical (linear) Goldreich-Levin algorithm has wide-ranging applications in learning theory, coding theory and the construction of pseudorandom generators in cryptography, as well as being closely related to Fourier analysis. Higher-order Goldreich-Levin algorithms on the other hand involve central problems in higher-order Fourier analysis, namely the inverse theory of the Gowers norms, which are well-studied in additive combinatorics. The only known result in this direction prior to this work is the quadratic Goldreich-Levin theorem, proved by Tulsiani and…
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Taxonomy
Topicsgraph theory and CDMA systems · Coding theory and cryptography · Limits and Structures in Graph Theory
