arXiv:1010.1627 [cond-mat.dis-nn]AbstractReferencesReviewsResources
Random elastic networks : strong disorder renormalization approach
Published 2010-10-08, updated 2011-02-02Version 2
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.
Comments: 8 pages, v2=final version
Journal: J. Phys. A: Math. Theor. 44 (2011) 085001
Categories: cond-mat.dis-nn
Keywords: strong disorder renormalization approach, random elastic networks, general strong disorder real-space renormalization, strong disorder rg rules
Tags: journal article
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