English

On the Probabilistic Degrees of Symmetric Boolean functions

Computational Complexity 2019-10-08 v1

Abstract

The probabilistic degree of a Boolean function f:{0,1}n{0,1}f:\{0,1\}^n\rightarrow \{0,1\} is defined to be the smallest dd such that there is a random polynomial P\mathbf{P} of degree at most dd that agrees with ff 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

R2 v1 2026-06-23T11:35:40.696Z