Dynamics of Disordered Mechanical Systems with Large Connectivity, Free Probability Theory, and Quasi-Hermitian Random Matrices
Joshua Feinberg, Roman Riser

TL;DR
This paper applies free probability and random matrix theory to analyze the vibrational spectra of highly connected disordered mechanical systems, revealing universal spectral features and extended eigenmodes.
Contribution
It introduces a novel application of free probability to compute spectra of products of positive definite random matrices in highly connected systems.
Findings
Average vibrational spectrum matches numerical simulations.
Spectral density approaches a non-zero constant at zero frequency.
Eigenvectors are extended, unlike in disordered crystals.
Abstract
Disordered mechanical systems with high connectivity represent a limit opposite to the more familiar case of disordered crystals. Individual ions in a crystal are subjected essentially to nearest-neighbor interactions. In contrast, the systems studied in this paper have all their degrees of freedom coupled to each other. Thus, the problem of linearized small oscillations of such systems involves two full positive-definite and non-commuting matrices, as opposed to the sparse matrices associated with disordered crystals. Consequently, the familiar methods for determining the averaged vibrational spectra of disordered crystals, introduced many years ago by Dyson and Schmidt, are inapplicable for highly connected disordered systems. In this paper we apply random matrix theory to calculate the averaged vibrational spectra of such systems, in the limit of infinitely large system size. We…
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