Generalized Entropy approach to far-from-equilibrium statistical mechanics
Statistical Mechanics
2007-05-23 v1
Abstract
We present a new approach to far-from-equilibrium statistical mechanics, based on the concept of generalized entropy, which is a microscopically-defined generalization of Onsager-Machlup functional. In the case when a set of slow (adiabatic) variables can be chosen, our formalism yields a general form of the macroscopic evolution law (Generalized Langevin Equation) and extends Fluctuation Dissipative Theorem. It also provides for a simple understanding of recently-discovered Fluctuation Theorem
Cite
@article{arxiv.cond-mat/0005198,
title = {Generalized Entropy approach to far-from-equilibrium statistical mechanics},
author = {Alexei V. Tkachenko},
journal= {arXiv preprint arXiv:cond-mat/0005198},
year = {2007}
}
Comments
5 pages