Abstract
An ∈-biased random source is a sequence X= (X1, X2,..., Xn) of 0, 1-valued random variables such that the conditional probability Pr[Xi=1|X1,X2,..., Xi-1] is always between 1/2-∈ and 1/2+∈+∈. Given a family S⊆,{o,1 of binary strings of length n, its ∈-enhanced probability Pr∈(S) is defined as the maximum of Prx(S) over all ∈-biased random sources X In this paper we establish a tight lower bound on Pr∈(S) as a function of |S|, n and ∈.
Original language | English |
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Pages (from-to) | 174-176 |
Number of pages | 3 |
Journal | Journal of Computer and System Sciences |
Volume | 58 |
Issue number | 1 |
DOIs | |
State | Published - Feb 1999 |
Bibliographical note
Funding Information:* Research supported by the Israel Academy of Science.
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science
- Computer Networks and Communications
- Computational Theory and Mathematics
- Applied Mathematics