Topology-Induced Inverse Phase Transitions
Disordered Systems and Neural Networks
2012-04-19 v2 Statistical Mechanics
Physics and Society
Abstract
Inverse phase transitions are striking phenomena in which an apparently more ordered state disorders under cooling. This behavior can naturally emerge in tricritical systems on heterogeneous networks and it is strongly enhanced by the presence of disassortative degree correlations. We show it both analytically and numerically, providing also a microscopic interpretation of inverse transitions in terms of freezing of sparse subgraphs and coupling renormalization.
Cite
@article{arxiv.1010.4062,
title = {Topology-Induced Inverse Phase Transitions},
author = {D. De Martino and S. Bradde and L. Dall'Asta and M. Marsili},
journal= {arXiv preprint arXiv:1010.4062},
year = {2012}
}
Comments
4 pages, 4 figures