Random elastic networks : strong disorder renormalization approach
Disordered Systems and Neural Networks
2011-02-03 v2
Abstract
For arbitrary networks of random masses connected by random springs, we define a general strong disorder real-space renormalization (RG) approach that generalizes the procedures introduced previously by Hastings [Phys. Rev. Lett. 90, 148702 (2003)] and by Amir, Oreg and Imry [Phys. Rev. Lett. 105, 070601 (2010)] respectively. The principle is to eliminate iteratively the elementary oscillating mode of highest frequency associated with either a mass or a spring constant. To explain the accuracy of the strong disorder RG rules, we compare with the Aoki RG rules that are exact at fixed frequency.
Keywords
Cite
@article{arxiv.1010.1627,
title = {Random elastic networks : strong disorder renormalization approach},
author = {Cecile Monthus and Thomas Garel},
journal= {arXiv preprint arXiv:1010.1627},
year = {2011}
}
Comments
8 pages, v2=final version