Using higher-order Fourier analysis over general fields
Arnab Bhattacharyya, Abhishek Bhowmick

TL;DR
This paper extends higher-order Fourier analysis to general finite fields, enabling new results in coding theory, polynomial decomposition, and property testing over these fields, broadening the scope beyond prime fields.
Contribution
The authors develop tools for higher-order Fourier analysis over general fields and apply them to improve understanding of coding, polynomial decomposition, and property testing.
Findings
List decoding radius equals minimum distance for Reed Muller codes over any fixed finite field.
Polynomial-time algorithm for polynomial decomposition over general finite fields.
All locally characterized affine-invariant properties are testable with one-sided error over fixed finite fields.
Abstract
Higher-order Fourier analysis, developed over prime fields, has been recently used in different areas of computer science, including list decoding, algorithmic decomposition and testing. We extend the tools of higher-order Fourier analysis to analyze functions over general fields. Using these new tools, we revisit the results in the above areas. * For any fixed finite field , we show that the list decoding radius of the generalized Reed Muller code over equals the minimum distance of the code. Previously, this had been proved over prime fields [BL14] and for the case when divides the order of the code [GKZ08]. * For any fixed finite field , we give a polynomial time algorithm to decide whether a given polynomial can be decomposed as a particular composition of lesser degree polynomials. This had…
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