On the Probabilistic Degrees of Symmetric Boolean functions
Computational Complexity
2019-10-08 v1
Abstract
The probabilistic degree of a Boolean function is defined to be the smallest such that there is a random polynomial of degree at most that agrees with at each point with high probability. Introduced by Razborov (1987), upper and lower bounds on probabilistic degrees of Boolean functions --- specifically symmetric Boolean functions --- have been used to prove explicit lower bounds, design pseudorandom generators, and devise algorithms for combinatorial problems. In this paper, we characterize the probabilistic degrees of all symmetric Boolean functions up to polylogarithmic factors over all fields of fixed characteristic (positive or zero).
Keywords
Cite
@article{arxiv.1910.02465,
title = {On the Probabilistic Degrees of Symmetric Boolean functions},
author = {Srikanth Srinivasan and Utkarsh Tripathi and S. Venkitesh},
journal= {arXiv preprint arXiv:1910.02465},
year = {2019}
}
Comments
A preliminary version of this paper will appear in the conference FSTTCS 2019