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.
Authors
- Mario Kieburg (ORCID: https://orcid.org/0000-0001-8864-6022)
- Matthias Allard (ORCID: https://orcid.org/0000-0002-5682-424X)
Institutions
- The University of Melbourne (AU)
- KU Leuven (BE)
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
- Field-Weighted Citation Impact
- 0.00