Bounds for Fisher information and its production under flow
Statistical Mechanics
2012-04-06 v1
Abstract
We prove that two well-known measures of information are interrelated in interesting and useful ways when applied to nonequilibrium circumstances. A nontrivial form of the lower bound for the Fisher information measure is derived in presence of a flux vector, which satisfies the continuity equation. We also establish a novel upper bound on the time derivative (production) in terms of the arrow of time and derive a lower bound by the logarithmic Sobolev inequality. These serve as the revealing dynamics of the information content and its limitations pertaining to nonequilibrium processes.
Keywords
Cite
@article{arxiv.1204.1157,
title = {Bounds for Fisher information and its production under flow},
author = {Takuya Yamano},
journal= {arXiv preprint arXiv:1204.1157},
year = {2012}
}
Comments
12 pages, no figure