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 |
|---|---|
| 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