The High Temperature Dynamics of a mean field Potts glass
Statistical Mechanics
2009-11-07 v1 Disordered Systems and Neural Networks
Abstract
We use Monte Carlo simulations to investigate the dynamical properties of the infinite range 10 states Potts glass. By analyzing the spin autocorrelation function for system sizes up to N=2560, we show that strong finite size effects are present around the predicted dynamical transition temperature. The autocorrelation function shows strong self-averaging at high temperatures, whereas close to the dynamical transition they show the lack of self-averaging.
Keywords
Cite
@article{arxiv.cond-mat/0104355,
title = {The High Temperature Dynamics of a mean field Potts glass},
author = {Claudio Brangian and Walter Kob and Kurt Binder},
journal= {arXiv preprint arXiv:cond-mat/0104355},
year = {2009}
}
Comments
7 pages of Latex, 4 figures