Abstract

Let $T_t$ denote the $t$-threshold function on the $n$-cube: $T_t(x) = 1$ if $|\{i : x_i=1\}| \geq t$, and $0$ otherwise. Define the distance between Boolean functions $g$ and $h$, $d(g,h)$, to be the number of points on which $g$ and $h$ disagree. We consider the following extremal problem: Over a monotone Boolean function $g$ on the $n$-cube with $s$ zeros, what is the maximum of $d(g,T_t)$? We show that the following monotone function $p_s$ maximizes the distance: For $x \in \{0,1\}^n$, $p_s(x)=0$ if and only if $N(x) < s$, where $N(x)$ is the integer whose $n$-bit binary representation is $x$. Our result generalizes the previous work for the case $t=\lceil n/2 \rceil$ and $s=2^{n-1}$ by Blum, Burch, and Langford [BBL98-FOCS98], who considered the problem to analyze the behavior of a learning algorithm for monotone Boolean functions, and the previous work for the same $t$ and $s$ by Amano and Maruoka [AM02-ALT02].

Highlights

  • Introduction and OverviewFor a Boolean function h and a class C of Boolean functions, we consider the following extremal problem: what is the maximum distance between g ∈ C and h? Equivalently, under the uniform distribution on {0, 1}n, how small can the correlation between g ∈ C and h be? The distance between Boolean functions g and h, d(g, h), is defined to be the number of points on which g and h disagree

  • We consider the following extremal problem: Over a monotone Boolean function g on the n-cube with s zeros, what is the maximum of d(g, Tt)? We show that the following monotone function ps maximizes the distance: For x ∈ {0, 1}n, ps(x) = 0 if and only if N (x) < s, where N (x) is the integer whose n-bit binary representation is x

  • Our result generalizes the previous work for the case t = n/2 and s = 2n−1 by Blum, Burch, and Langford [BBL98-FOCS98], who considered the problem to analyze the behavior of a learning algorithm for monotone Boolean functions, and the previous work for the same t and s by Amano and Maruoka [AM02-ALT02]

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Summary

Introduction

Introduction and OverviewFor a Boolean function h and a class C of Boolean functions, we consider the following extremal problem: what is the maximum distance between g ∈ C and h? Equivalently, under the uniform distribution on {0, 1}n, how small can the correlation between g ∈ C and h be? The distance between Boolean functions g and h, d(g, h), is defined to be the number of points on which g and h disagree. We consider the following extremal problem: Over a monotone Boolean function g on the n-cube with s zeros, what is the maximum of d(g, Tt)? We show that the following monotone function ps maximizes the distance: For x ∈ {0, 1}n, ps(x) = 0 if and only if N (x) < s, where N (x) is the integer whose n-bit binary representation is x.

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