Communication Requirements for Generating Correlated Random Variables
Information Theory
2008-05-02 v1 Computer Science and Game Theory
math.IT
Probability
Abstract
Two familiar notions of correlation are rediscovered as extreme operating points for simulating a discrete memoryless channel, in which a channel output is generated based only on a description of the channel input. Wyner's "common information" coincides with the minimum description rate needed. However, when common randomness independent of the input is available, the necessary description rate reduces to Shannon's mutual information. This work characterizes the optimal tradeoff between the amount of common randomness used and the required rate of description.
Cite
@article{arxiv.0805.0065,
title = {Communication Requirements for Generating Correlated Random Variables},
author = {Paul Cuff},
journal= {arXiv preprint arXiv:0805.0065},
year = {2008}
}
Comments
ISIT 2008, 5 pages, 4 eps figures, uses IEEEtran.cls