August 2022 Eigenvector correlations in the complex Ginibre ensemble
Nicholas Crawford, Ron Rosenthal
Author Affiliations +
Ann. Appl. Probab. 32(4): 2706-2754 (August 2022). DOI: 10.1214/21-AAP1746

Abstract

The complex Ginibre ensemble is the distribution of an N×N non-Hermitian random matrix over C with i.i.d. complex Gaussian entries normalized to have mean zero and variance 1/N. Unlike the Gaussian unitary ensemble, for which the eigenvectors are distributed according to Haar measure on the compact group U(N), independently of the eigenvalues, the geometry of the eigenbases of the Ginibre ensemble are not particularly well understood. In this paper we systematically study properties of eigenvector correlations in this matrix ensemble. In particular, we uncover an extended algebraic structure which describes their asymptotic behavior (as N goes to infinity). Our work extends previous results of Chalker and Mehlig (Phys. Rev. Lett. 81 (1998) 3367–3370), in which the correlation for pairs of eigenvectors was computed.

Funding Statement

The first author was partially supported by the Israel Science Foundation—grant number 1692/17. The second author was partially supported by the Israel Science Foundation—grant number 771/17 and the Binational Science Foundation—grant number 2018330.

Citation

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Nicholas Crawford. Ron Rosenthal. "Eigenvector correlations in the complex Ginibre ensemble." Ann. Appl. Probab. 32 (4) 2706 - 2754, August 2022. https://doi.org/10.1214/21-AAP1746

Information

Received: 1 May 2018; Revised: 1 August 2021; Published: August 2022
First available in Project Euclid: 17 August 2022

MathSciNet: MR4474518
zbMATH: 1498.60029
Digital Object Identifier: 10.1214/21-AAP1746

Subjects:
Primary: 60B20 , 82B4
Secondary: 60F99

Keywords: Correlations , eigenvectors , NonHermitian random matrices

Rights: Copyright © 2022 Institute of Mathematical Statistics

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Vol.32 • No. 4 • August 2022
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