Disentangling Giant Component and Finite Cluster Contributions in Sparse Matrix Spectra
Disordered Systems and Neural Networks
2016-04-20 v1 Mathematical Physics
math.MP
Abstract
We describe a method for disentangling giant component and finite cluster contributions to sparse random matrix spectra, using sparse symmetric random matrices defined on Erdos-Renyi graphs as an example and test-bed.
Keywords
Cite
@article{arxiv.1601.04690,
title = {Disentangling Giant Component and Finite Cluster Contributions in Sparse Matrix Spectra},
author = {Reimer Kuehn},
journal= {arXiv preprint arXiv:1601.04690},
year = {2016}
}
Comments
7 pages, 2 multi-part figures