Determinantal structure of the conditional expectation of the overlaps for the induced Ginibre unitary ensemble
Kohei Noda

TL;DR
This paper extends the analysis of eigenvector overlaps in the Ginibre ensemble to the induced Ginibre unitary ensemble, demonstrating a determinantal structure and universality of correlation functions across different regimes.
Contribution
It introduces the weighted correlation functions for the induced Ginibre ensemble and proves their determinantal structure, extending previous work on the Ginibre ensemble.
Findings
Determinantal structure of weighted correlation functions confirmed
Universality established in bulk and edge regimes in the strongly non-unitary case
New relationships between overlaps and spectral regimes in weakly non-unitary and singular origin cases
Abstract
As is widely known, a non-Hermitian matrix exhibits distinct left and right eigenvectors, which form a bi-orthogonal system. Chalker and Mehling initiated the study of the joint statistics of the eigenvalues and the overlaps defined by the left and right eigenvectors of the Ginibre unitary ensemble. Later, Akemann et al. continued their investigation by studying the -th correlation function weighted by the on- and off-overlaps of the Ginibre unitary ensemble. In this paper, as a natural extension of their work, we investigate the -th correlation function weighted by the on- and off-diagonal overlaps of the induced Ginibre unitary ensemble. Similar to the Ginibre unitary ensemble case, we will demonstrate the determinantal structure. As a result, we will confirm the universality of the -th correlation function weighted by the on- and off-diagonal overlaps in both the bulk and…
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Taxonomy
TopicsMathematical functions and polynomials · Matrix Theory and Algorithms · Random Matrices and Applications
