pith. sign in

arxiv: math/0410282 · v1 · pith:EVWA6GXWnew · submitted 2004-10-12 · 🧮 math.PR · cs.CC

Balanced Boolean functions that can be evaluated so that every input bit is unlikely to be read

classification 🧮 math.PR cs.CC
keywords balancedbooleanprobabilityinputfunctionreadthetabits
0
0 comments X
read the original abstract

A Boolean function of n bits is balanced if it takes the value 1 with probability 1/2. We exhibit a balanced Boolean function with a randomized evaluation procedure (with probability 0 of making a mistake) so that on uniformly random inputs, no input bit is read with probability more than Theta(n^{-1/2} sqrt{log n}). We give a balanced monotone Boolean function for which the corresponding probability is Theta(n^{-1/3} log n). We then show that for any randomized algorithm for evaluating a balanced Boolean function, when the input bits are uniformly random, there is some input bit that is read with probability at least Theta(n^{-1/2}). For balanced monotone Boolean functions, there is some input bit that is read with probability at least Theta(n^{-1/3}).

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.