Numerical Detection of the Ergodicity Breaking in a Lattice Glass Model
Disordered Systems and Neural Networks
2014-01-21 v1 Statistical Mechanics
Abstract
We directly detect the ergodicity breaking in a lattice glass model by a numerical simulation. The obtained results nicely agree with those by the cavity method that the model on a regular random graph exhibits a dynamical transition with the ergodicity breaking at an occupation density. The present method invented for a numerical detection of the ergodicity breaking is applicable to glassy systems in finite dimensions.
Keywords
Cite
@article{arxiv.1401.4778,
title = {Numerical Detection of the Ergodicity Breaking in a Lattice Glass Model},
author = {Munetaka Sasaki and Koji Hukushima},
journal= {arXiv preprint arXiv:1401.4778},
year = {2014}
}
Comments
5 pages, 4 figures