Title
Computing Boolean functions from multiple faulty copies of input bits
Abstract
Suppose, we want to compute a Boolean function f, but instead of receiving the input, we only get l ∈-faulty copies of each input bit. A typical solution in this case is to take the majority value of the faulty bits for each individual input bit and apply f on the majority values. We call this the trivial construction. We showt hat if f : 0, 1n → 0, 1 and ∈ are known, the best construction function, F, is often not the trivial. In particular, in many cases the best F cannot be written as a composition of some functions with f, and in addition it is better to use a randomized F than a deterministic one. We also prove, that the trivial construction is optimal in some rough sense: if we denote by l(f) the number of 1 10-biased copies we need from each input to reliably compute f using the best (randomized) recovery function F, and we denote by l triv(f) the analogous number for the trivial construction, then l triv(f) = Θ(l(f)). Moreover, both quantities are in Θ(log S(f)), where S(f) is the sensitivity of f. A quantity related to l(f) is D rand stat,(f) = min∑n i=1 l i, where l i is the number of 0.1-biased copies of x i, such that the above number of readings is already sufficient to recover f with high certainty. This quantity was first introduced by Reischuk et al. [14] in order to provide lower bounds for the noisy circuit size of f. In this article we give a complete characterization of D rand stat,(f) through a combinatorial lemma, that can be interesting on its own right.
Year
DOI
Venue
2004
10.1016/j.tcs.2003.07.001
Theoretical Computer Science - Latin American theorotical informatics
Keywords
Field
DocType
Boolean function,10-biased copy,best F,best function construction,randomized F,trivial construction,multiple faulty copy,individual input bit,Computing Boolean function,analogous number,input bit,majority value
Boolean function,Discrete mathematics,Combinatorics,Well-defined,Biased Estimation,Completeness (statistics),Deterministic system (philosophy),Lemma (mathematics),Mathematics
Journal
Volume
Issue
ISSN
321
1
Theoretical Computer Science
ISBN
Citations 
PageRank 
3-540-43400-3
5
0.49
References 
Authors
12
3
Name
Order
Citations
PageRank
Mario Szegedy13358325.80
Xiaomin Chen2436.18
XM Chen350.49