Mutual information decay for factors of IID
Probability
2017-07-25 v3 Dynamical Systems
Abstract
This paper is concerned with factor of i.i.d. processes on the -regular tree for . We study the mutual information of the values on two given vertices. If the vertices are neighbors (i.e., their distance is ), then a known inequality between the entropy of a vertex and the entropy of an edge provides an upper bound for the (normalized) mutual information. In this paper we obtain upper bounds for vertices at an arbitrary distance , of order . Although these bounds are sharp, we also show that an interesting phenomenon occurs here: for any fixed process the rate of decay of the mutual information is much faster, essentially of order .
Cite
@article{arxiv.1703.04387,
title = {Mutual information decay for factors of IID},
author = {Balázs Gerencsér and Viktor Harangi},
journal= {arXiv preprint arXiv:1703.04387},
year = {2017}
}
Comments
15 pages