# On the determinantal structure of conditional overlaps for the complex Ginibre ensemble

## TL;DR

This paper reveals that the expectations of eigenvector overlaps in the complex Ginibre ensemble have a determinantal structure, enabling explicit calculations and asymptotic analysis of these overlaps in various scaling limits.

## Contribution

It demonstrates that the expectations of conditional overlaps possess a determinantal structure with kernels expressed via orthogonal polynomials, extending previous results to arbitrary eigenvalue conditions.

## Key findings

- Expectations have a determinantal form with kernels in terms of orthogonal polynomials.
- Explicit formulas for overlaps in bulk and edge scaling limits.
- Proof of algebraic decay and asymptotic factorisation of overlaps.

## Abstract

We continue the study of joint statistics of eigenvectors and eigenvalues initiated in the seminal papers of Chalker and Mehlig. The principal object of our investigation is the expectation of the matrix of overlaps between the left and the right eigenvectors for the complex $N\times N$ Ginibre ensemble, conditional on an arbitrary number $k=1,2,\ldots$ of complex eigenvalues.These objects provide the simplest generalisation of the expectations of the diagonal overlap ($k=1$) and the off-diagonal overlap ($k=2$) considered originally by Chalker and Mehlig. They also appear naturally in the problem of joint evolution of eigenvectors and eigenvalues for Brownian motions with values in complex matrices studied by the Krakow school. We find that these expectations possess a determinantal structure, where the relevant kernels can be expressed in terms of certain orthogonal polynomials in the complex plane. Moreover, the kernels admit a rather tractable expression for all $N \geq 2$. This result enables a fairly straightforward calculation of the conditional expectation of the overlap matrix in the local bulk and edge scaling limits as well as the proof of the exact algebraic decay and asymptotic factorisation of these expectations in the bulk.