On correlation bounds against polynomials
Peter Ivanov, Liam Pavlovic, Emanuele Viola

TL;DR
This paper investigates correlation bounds between explicit functions and low-degree polynomials over GF(2), introducing new techniques, disproving a conjecture, and establishing results for quadratic and symmetric cubic polynomials.
Contribution
It provides a counterexample to a previous conjecture, proposes a new approach for correlation bounds involving symmetric polynomials, and proves results for quadratic and certain cubic polynomials.
Findings
Counterexample to CHHLZ conjecture on correlation bounds
Symmetric polynomials have maximal correlation with mod functions
New proof technique using directional derivatives
Abstract
We study the fundamental challenge of exhibiting explicit functions that have small correlation with low-degree polynomials over . Our main contributions include: 1. In STOC 2020, CHHLZ introduced a new technique to prove correlation bounds. Using their technique they established new correlation bounds for low-degree polynomials. They conjectured that their technique generalizes to higher degree polynomials as well. We give a counterexample to their conjecture, in fact ruling out weaker parameters and showing what they prove is essentially the best possible. 2. We propose a new approach for proving correlation bounds with the central "mod functions", consisting of two steps: (I) the polynomials that maximize correlation are symmetric and (II) symmetric polynomials have small correlation. Contrary to related results in the literature, we conjecture that (I) is true.…
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Taxonomy
TopicsCoding theory and cryptography · Polynomial and algebraic computation · Advanced Differential Equations and Dynamical Systems
