Improved bounds on Fourier entropy and Min-entropy
Srinivasan Arunachalam, Sourav Chakraborty, Michal Kouck\'y and, Nitin Saurabh, Ronald de Wolf

TL;DR
This paper advances understanding of Fourier entropy bounds for Boolean functions, proposing weaker conjectures, establishing new inequalities involving certificate complexities, and exploring implications for polynomial approximation and longstanding conjectures.
Contribution
It introduces weaker Fourier entropy-influence conjectures, proves new bounds involving certificate complexities, and links these to Mansour's conjecture and polynomial approximation structure.
Findings
Verified FMEI conjecture for read-k DNF formulas
Established bounds relating Fourier min-entropy to certificate complexity
Connected weaker FEI variants to Mansour's conjecture and polynomial structure
Abstract
Given a Boolean function , the Fourier distribution assigns probability to . The Fourier Entropy-Influence (FEI) conjecture of Friedgut and Kalai asks if there exist a universal constant C>0 such that , where is the Shannon entropy of the Fourier distribution of and is the total influence of . 1) We consider the weaker Fourier Min-entropy-Influence (FMEI) conjecture. This asks if , where is the min-entropy of the Fourier distribution. We show , where is the minimum parity certificate complexity of . We also show that for every , we have , where…
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