Ensemble renormalization group for disordered systems
Disordered Systems and Neural Networks
2013-04-30 v2 Statistical Mechanics
Abstract
We propose and study a renormalization group transformation that can be used also for models with strong quenched disorder, like spin glasses. The method is based on a mapping between disorder distributions, chosen such as to keep some physical properties (e.g., the ratio of correlations averaged over the ensemble) invariant under the transformation. We validate this ensemble renormalization group by applying it to the hierarchical model (both the diluted ferromagnetic version and the spin glass version), finding results in agreement with Monte Carlo simulations.
Keywords
Cite
@article{arxiv.1111.6869,
title = {Ensemble renormalization group for disordered systems},
author = {Maria Chiara Angelini and Giorgio Parisi and Federico Ricci-Tersenghi},
journal= {arXiv preprint arXiv:1111.6869},
year = {2013}
}
Comments
7 pages, 10 figures