Cluster derivation of Parisi's RSB solution for disordered systems
Disordered Systems and Neural Networks
2009-10-31 v1 Statistical Mechanics
Abstract
We propose a general scheme in which disordered systems are allowed to sacrifice energy equi-partitioning and separate into a hierarchy of ergodic sub-systems (clusters) with different characteristic time-scales and temperatures. The details of the break-up follow from the requirement of stationarity of the entropy of the slower cluster, at every level in the hierarchy. We apply our ideas to the Sherrington-Kirkpatrick model, and show how the Parisi solution can be {\it derived} quantitatively from plausible physical principles. Our approach gives new insight into the physics behind Parisi's solution and its relations with other theories, numerical experiments, and short range models.
Cite
@article{arxiv.cond-mat/0009151,
title = {Cluster derivation of Parisi's RSB solution for disordered systems},
author = {J. van Mourik and A. C. C. Coolen},
journal= {arXiv preprint arXiv:cond-mat/0009151},
year = {2009}
}
Comments
7 pages 5 figures