Achlioptas processes are not always self-averaging
Statistical Mechanics
2012-07-27 v2 Disordered Systems and Neural Networks
Abstract
We consider a class of percolation models, called Achlioptas processes, discussed in [Science 323, 1453 (2009)] and [Science 333, 322 (2011)]. For these the evolution of the order parameter (the rescaled size of the largest connected component) has been the main focus of research in recent years. We show that, in striking contrast to `classical' models, self-averaging is not a universal feature of these new percolation models: there are natural Achlioptas processes whose order parameter has random fluctuations that do not disappear in the thermodynamic limit.
Cite
@article{arxiv.1111.6177,
title = {Achlioptas processes are not always self-averaging},
author = {Oliver Riordan and Lutz Warnke},
journal= {arXiv preprint arXiv:1111.6177},
year = {2012}
}
Comments
4 pages, 3 figures. Revised and expanded. Title changed