Model simplification and loss of irreversibility
Abstract
In this paper, we reveal a general relationship between model simplification and irreversibility based on the model of continuous-time Markov chains with time-scale separation. According to the topological structure of the fast process, we divide the states of the chain into the transient states and the recurrent states. We show that a two-time-scale chain can be simplified to a reduced chain in two different ways: removal of the transient states and aggregation of the recurrent states. Both the two operations will lead to a decrease in the entropy production rate and its adiabatic part and will keep its non-adiabatic part the same. This suggests that although model simplification can retain almost all the dynamic information of the chain, it will lose some thermodynamic information as a trade-off.
Keywords
Cite
@article{arxiv.1605.03499,
title = {Model simplification and loss of irreversibility},
author = {Chen Jia},
journal= {arXiv preprint arXiv:1605.03499},
year = {2016}
}