Central Approximation in Statistical Physics and Information Theory
Information Theory
2012-02-06 v1 Statistical Mechanics
math.IT
Abstract
In statistical physics and information theory, although the exponent of the partition function is often of our primary interest, there are cases where one needs more detailed information. In this paper, we present a general framework to study more precise asymptotic behaviors of the partition function, using the central approximation in conjunction with the method of types.
Cite
@article{arxiv.1202.0655,
title = {Central Approximation in Statistical Physics and Information Theory},
author = {Ryuhei Mori and Toshiyuki Tanaka},
journal= {arXiv preprint arXiv:1202.0655},
year = {2012}
}
Comments
5 pages, submitted to ISIT2012