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What and Who

Upper bounds on Fourier Entropy

Nitin Saurabh
Charles University Prague
AG1 Mittagsseminar (own work)
AG 1, MMCI  
AG Audience
English

Date, Time and Location

Thursday, 17 August 2017
13:00
30 Minutes
E1 4
024
Saarbrücken

Abstract

The squared Fourier coefficients of a Boolean function define a probability distribution. The corresponding Shannon entropy is called the Fourier entropy of the Boolean function. An outstanding open question is a conjecture of Friedgut and Kalai (1996), called the Fourier Entropy Influence (FEI) Conjecture, asserting that the Fourier Entropy of any Boolean function is bounded above, up to a constant factor, by the total influence (average sensitivity) of the Boolean function.


In this talk, we will first review the background, motivation, and status of this conjecture. We will then present upper bounds on Fourier entropy in terms of several complexity measures of Boolean functions. We also prove the conjecture for some special classes of Boolean functions. Finally, we will conclude with several open questions.

Contact

Karl Bringmann
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Karl Bringmann, 08/06/2017 12:24
Karl Bringmann, 07/31/2017 12:27
Karl Bringmann, 07/31/2017 12:26 -- Created document.