Monotone Boolean Functions with s Zeros Farthest from Threshold Functions

نویسندگان

  • Kazuyuki Amano
  • Jun Tarui
چکیده

Let Tt denote the t-threshold function on the n-cube: Tt(x) = 1 if |{i : xi = 1}| ≥ 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, Tt)? We show that the following monotone function ps maximizes the distance: For x ∈ {0, 1}, 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 = dn/2e 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].

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Probabilistic Construction of Monotone Formulae for Positive Linear Threshold Functions

We extend Valiant's construction of monotone formulae for the majority function to obtain an eecient probabilistic construction of small monotone formulae for arbitrary positive linear threshold functions. We show that any positive linear threshold function on n boolean variables which has weight complexity q(n) can be computed by a monotone boolean formula of size O(q(n) 3:3 n 2): Our techniqu...

متن کامل

Monotone Boolean formulas can approximate monotone linear threshold functions

We show that any monotone linear threshold function on n Boolean variables can be approximated to within any constant accuracy by a monotone Boolean formula of poly(n) size.

متن کامل

Function Evaluation Via Linear Programming in the Priced Information Model

Wedetermine the complexity of evaluatingmonotone Boolean functions in a variant of the decision tree model introduced in [Charikar et al. 2002]. In thismodel, reading different variables can incur different costs, and competitive analysis is employed to evaluate the performance of the algorithms. It is known that for a monotone Boolean function f, the size of the largest certificate, aka PROOF ...

متن کامل

ON THE FUZZY SET THEORY AND AGGREGATION FUNCTIONS: HISTORY AND SOME RECENT ADVANCES

Several fuzzy connectives, including those proposed by Lotfi Zadeh, can be seen as linear extensions of the Boolean connectives from the scale ${0,1}$ into the scale $[0,1]$. We discuss these extensions, in particular, we focus on the dualities arising from the Boolean dualities. These dualities allow to transfer the results from some particular class of extended Boolean functions, e.g., from c...

متن کامل

Analysis of Boolean Functions ( CMU 18 - 859 S , Spring 2007 ) Lecture 29 : Open Problems

Small total influence implies a large coefficient: Prove or disprove: For every f : {−1, 1} → {−1, 1} there exists some S such that |f̂(S)| ≥ 2−O(I(f)). One might also try to add the condition that the S satisfies |S| ≤ O(I(f)). A lower bound of 2−O(I(f)2) follows from Friedgut’s Theorem, and with this one can also get that |S| ≤ O(I(f)). The result definitely holds for monotone functions: From ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005