A Differential Equation Approach to the Most-Informative Boolean Function Conjecture

Fuente: arXiv
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Hauptverfasser: Chen, Zijie, Gohari, Amin, Nair, Chandra
Format: Preprint
Veröffentlicht: 2025
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author Chen, Zijie
Gohari, Amin
Nair, Chandra
author_facet Chen, Zijie
Gohari, Amin
Nair, Chandra
contents We study the most-informative Boolean function conjecture using a differential equation approach. This leads to a formulation of a functional inequality on finite-dimensional random variables. We also develop a similar inequality in the case of the Hellinger conjecture. Finally, we conjecture a specific finite dimensional inequality that, if proved, will lead to a proof of the Boolean function conjecture in the balanced case. We further show that the above inequality holds modulo four explicit inequalities (all of which seems to hold via numerical simulation) with the first three containing just two variables and a final one involving four variables.
format Preprint
id arxiv_https___arxiv_org_abs_2502_10019
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Differential Equation Approach to the Most-Informative Boolean Function Conjecture
Chen, Zijie
Gohari, Amin
Nair, Chandra
Information Theory
We study the most-informative Boolean function conjecture using a differential equation approach. This leads to a formulation of a functional inequality on finite-dimensional random variables. We also develop a similar inequality in the case of the Hellinger conjecture. Finally, we conjecture a specific finite dimensional inequality that, if proved, will lead to a proof of the Boolean function conjecture in the balanced case. We further show that the above inequality holds modulo four explicit inequalities (all of which seems to hold via numerical simulation) with the first three containing just two variables and a final one involving four variables.
title A Differential Equation Approach to the Most-Informative Boolean Function Conjecture
topic Information Theory
url https://arxiv.org/abs/2502.10019