On the Analysis of Boolean Functions and Fourier-Entropy-Influence Conjecture
Xiao Han

TL;DR
This paper reviews classical results and presents new bounds on the entropy of Boolean functions, specifically relating entropy to influence measures, advancing understanding of the Fourier-Entropy-Influence conjecture.
Contribution
It introduces a novel upper bound on the entropy of Boolean functions in terms of influence and influence-specific terms, contributing to the analysis of the Fourier-Entropy-Influence conjecture.
Findings
Entropy of Boolean functions is bounded by influence measures.
New upper bound involving sum over influence-specific logarithmic terms.
Provides insights into the Fourier-Entropy-Influence conjecture.
Abstract
This manuscript includes some classical results we select apart from the new results we've found on the Analysis of Boolean Functions and Fourier-Entropy-Influence conjecture. We try to ensure the self-completeness of this work so that readers could probably read it independently. Among the new results, what is the most remarkable is that we prove that the entropy of a boolean function could be upper bounded by .
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Taxonomy
TopicsComputability, Logic, AI Algorithms · Mathematical Dynamics and Fractals · Metaheuristic Optimization Algorithms Research
