English

Spectral renormalization group theory on networks

Statistical Mechanics 2013-12-10 v1 Disordered Systems and Neural Networks

Abstract

Discrete amorphous materials are best described in terms of arbitrary networks which can be embedded in three dimensional space. Investigating the thermodynamic equilibrium as well as non-equilibrium behavior of such materials around second order phase transitions call for special techniques. We set up a renormalization group scheme by expanding an arbitrary scalar field living on the nodes of an arbitrary network, in terms of the eigenvectors of the normalized graph Laplacian. The renormalization transformation involves, as usual, the integration over the more "rapidly varying" components of the field, corresponding to eigenvectors with larger eigenvalues, and then rescaling. The critical exponents depend on the particular graph through the spectral density of the eigenvalues.

Keywords

Cite

@article{arxiv.1107.3457,
  title  = {Spectral renormalization group theory on networks},
  author = {Eser Aygun and Ayse Erzan},
  journal= {arXiv preprint arXiv:1107.3457},
  year   = {2013}
}

Comments

17 pages, 3 figures, presented at the Continuum Models and Discrete Systems (CMDS-12), 21-25 Feb 2011, Saha Institute of Nuclear Physics, Kolkata, India

R2 v1 2026-06-21T18:38:18.533Z