Sparse Random Block Matrices
arXiv:2106.10125 · doi:10.1088/1751-8121/ac3468
Abstract
The spectral moments of ensembles of sparse random block matrices are analytically evaluated in the limit of large order. The structure of the sparse matrix corresponds to the Erdös-Renyi random graph. The blocks are i.i.d. random matrices of the classical ensembles GOE or GUE. The moments are evaluated for finite or infinite dimension of the blocks. The correspondences between sets of closed walks on trees and classes of irreducible partitions studied in free probability together with functional relations are powerful tools for analytic evaluation of the limiting moments. They are helpful to identify probability laws for the blocks and limits of the parameters which allow the evaluation of all the spectral moments and of the spectral density.
31 pages
References in corpus (10)
- Critical phenomena in complex networks
- Cavity Approach to the Spectral Density of Sparse Symmetric Random Matrices
- Spectra of Sparse Random Matrices
- On the localization transition in symmetric random matrices
- Cavity and replica methods for the spectral density of sparse symmetric random matrices
- Non-Hermitian spectra and Anderson localization
- Finitely coordinated models for low-temperature phases of amorphous systems
- Equitable random graphs
- Equivalence of replica and cavity methods for computing spectra of sparse random matrices
- Noncrossing partition flow and random matrix models