Correlation functions between singular values and eigenvalues

Exploiting the explicit bijection between the density of singular values and the density of eigenvalues for bi-unitarily invariant complex random matrix ensembles of finite matrix size, we aim at finding the induced probability measure on [Formula: see text] eigenvalues and [Formula: see text] singular values that we coin [Formula: see text]-point correlation measure. We find an expression for the [Formula: see text]-point correlation measure which simplifies drastically when assuming that the singular values follow a polynomial ensemble, yielding a closed formula in terms of the kernel corresponding to the determinantal point process of the singular value statistics. These expressions simplify even further when the singular values are drawn from a Pólya ensemble and extend known results between the eigenvalue and singular value statistics of the corresponding bi-unitarily invariant ensemble.

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Publication Details

Journal
Random Matrices Theory and Application
Published
2025-08-15
DOI
https://doi.org/10.1142/s2010326325500248
Primary Topic
Matrix Theory and Algorithms
Type
article
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article

Correlation functions between singular values and eigenvalues

Mario Kieburg, Matthias Allard
Random Matrices Theory and Application
Matrix Theory and Algorithms
article

Correlation functions between singular values and eigenvalues

Mario Kieburg, Matthias Allard
article en

Abstract

Exploiting the explicit bijection between the density of singular values and the density of eigenvalues for bi-unitarily invariant complex random matrix ensembles of finite matrix size, we aim at finding the induced probability measure on [Formula: see text] eigenvalues and [Formula: see text] singular values that we coin [Formula: see text]-point correlation measure. We find an expression for the [Formula: see text]-point correlation measure which simplifies drastically when assuming that the singular values follow a polynomial ensemble, yielding a closed formula in terms of the kernel corresponding to the determinantal point process of the singular value statistics. These expressions simplify even further when the singular values are drawn from a Pólya ensemble and extend known results between the eigenvalue and singular value statistics of the corresponding bi-unitarily invariant ensemble.

Random Matrices Theory and ApplicationVol. 15(01)
The University of Melbourne (AU), KU Leuven (BE)
Openalex Percentile: Top 77%
Matrix Theory and Algorithms
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Correlation functions between singular values and eigenvalues — Mario Kieburg, Matthias Allard · Random Matrices Theory and Application (2025) | TGRS Research Map | TGRS