Title
On the minimal fourier degree of symmetric Boolean functions
Abstract
In this paper we give a new upper bound on the minimal degree of a nonzero Fourier coefficient in any non-linear symmetric Boolean function. Specifically, we prove that for every non-linear and symmetric f : {0, 1} k → {0, 1} there exists a set; $\not 0 \ne S \subset [k]$ such that S = O (Γ( k )+√ k , and $\hat f(S) \ne 0$ where Γ( m )≤ m 0.525 is the largest gap between consecutive prime numbers in {1,..., m }. As an application we obtain a new analysis of the PAC learning algorithm for symmetric juntas, under the uniform distribution, of Mossel et al. [10].Our bound on the degree is a significant improvement over the previous result of Kolountzakis et al. [8] who proved that S = O ( k =log k ).We also show a connection between lower-bounding the degree of non-constant functions that take values in {0,1,2} and the question that we study here.
Year
DOI
Venue
2011
10.1007/s00493-014-2875-z
Combinatorica
Keywords
DocType
Volume
new analysis,kolountzakis etal,non-linear symmetric boolean function,symmetric junta,log k,forevery non-linear,pac learningalgorithm,consecutive prime number,number ofvariables,minimal degree,minimal fourier degree,symmetric boolean functions,algorithm design and analysis,correlation,algorithm design,boolean function,boolean functions,fourier transform,spectrum,symmetric functions,symmetric function,mathematical model,fourier transforms,polynomials
Conference
34
Issue
ISSN
ISBN
3
1093-0159 E-ISBN : 978-0-7695-4411-3
978-0-7695-4411-3
Citations 
PageRank 
References 
6
0.56
12
Authors
2
Name
Order
Citations
PageRank
Amir Shpilka1109564.27
Avishay Tal25811.83