English

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

R2 v1 2026-06-21T16:25:40.011Z