# Location of the spectrum of Kronecker random matrices

**Authors:** Johannes Alt, Laszlo Erdos, Torben Kr\"uger, Yuriy Nemish

arXiv: 1706.08343 · 2018-02-27

## TL;DR

This paper characterizes the eigenvalue distribution of large non-Hermitian Kronecker random matrices, showing they concentrate near a deterministic set derived from the Dyson equation, unifying analysis across various structured ensembles.

## Contribution

It provides a rigorous description of the spectral location for a broad class of non-Hermitian random matrices using Dyson equation techniques.

## Key findings

- Eigenvalues concentrate near a deterministic set
- The set is derived from the Dyson equation of the matrix's hermitization
- Analysis applies to many structured matrix ensembles

## Abstract

For a general class of large non-Hermitian random block matrices $\mathbf{X}$ we prove that there are no eigenvalues away from a deterministic set with very high probability. This set is obtained from the Dyson equation of the Hermitization of $\mathbf{X}$ as the self-consistent approximation of the pseudospectrum. We demonstrate that the analysis of the matrix Dyson equation from [arXiv:1604.08188v4] offers a unified treatment of many structured matrix ensembles.

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/1706.08343/full.md

## References

33 references — full list in the complete paper: https://tomesphere.com/paper/1706.08343/full.md

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Source: https://tomesphere.com/paper/1706.08343