Complex symmetric, self-dual, and Ginibre random matrices: analytical results for three classes of bulk and edge statistics

Abstract Recently, a conjecture about the local bulk statistics of complex eigenvalues has been made based on numerics. It claims that there are only three universality classes, which have all been observed in open chaotic quantum systems. Motivated by these new insights, we compute and compare the expectation values of k pairs of complex conjugate characteristic polynomials in three ensembles of Gaussian non-Hermitian random matrices representative for the three classes: the well-known complex Ginibre ensemble, complex symmetric and complex self-dual matrices. In the Cartan classification scheme of non-Hermitian random matrices they are labelled as class A, AI <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:msup> <mml:mrow/> <mml:mo>†</mml:mo> </mml:msup> </mml:mrow> </mml:math> and AII <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:msup> <mml:mrow/> <mml:mo>†</mml:mo> </mml:msup> </mml:mrow> </mml:math> , respectively. Using the technique of Grassmann variables, we derive explicit expressions for a single pair of expected characteristic polynomials for finite as well as infinite matrix dimension. For the latter we consider the global limit as well as zoom into the edge and the bulk of the spectrum, providing new analytical results for classes AI <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:msup> <mml:mrow/> <mml:mo>†</mml:mo> </mml:msup> </mml:mrow> </mml:math> and AII <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:msup> <mml:mrow/> <mml:mo>†</mml:mo> </mml:msup> </mml:mrow> </mml:math> . For general k , we derive the effective Lagrangians corresponding to the non-linear σ -models in the respective physical systems. Interestingly, they agree for all three ensembles, while the corresponding Goldstone manifolds, over which one has to perform the remaining integrations, are different and equal the three classical compact groups in the bulk. In particular, our analytical results show that these three ensembles have indeed different local bulk and edge spectral statistics, corroborating the conjecture further.

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Journal
Journal of Physics A Mathematical and Theoretical
Published
2025-03-06
DOI
https://doi.org/10.1088/1751-8121/adbd9d
Primary Topic
Random Matrices and Applications
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article
Field-Weighted Citation Impact
0.00

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article

Complex symmetric, self-dual, and Ginibre random matrices: analytical results for three classes of bulk and edge statistics

Gernot Akemann, Mario Kieburg, Patricia Päßler, Noah Aygün
Journal of Physics A Mathematical and Theoretical
Random Matrices and Applications
article

Complex symmetric, self-dual, and Ginibre random matrices: analytical results for three classes of bulk and edge statistics

Gernot Akemann, Mario Kieburg, Patricia Päßler, Noah Aygün
article en

Abstract

Abstract Recently, a conjecture about the local bulk statistics of complex eigenvalues has been made based on numerics. It claims that there are only three universality classes, which have all been observed in open chaotic quantum systems. Motivated by these new insights, we compute and compare the expectation values of k pairs of complex conjugate characteristic polynomials in three ensembles of Gaussian non-Hermitian random matrices representative for the three classes: the well-known complex Ginibre ensemble, complex symmetric and complex self-dual matrices. In the Cartan classification scheme of non-Hermitian random matrices they are labelled as class A, AI <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:msup> <mml:mrow/> <mml:mo>†</mml:mo> </mml:msup> </mml:mrow> </mml:math> and AII <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:msup> <mml:mrow/> <mml:mo>†</mml:mo> </mml:msup> </mml:mrow> </mml:math> , respectively. Using the technique of Grassmann variables, we derive explicit expressions for a single pair of expected characteristic polynomials for finite as well as infinite matrix dimension. For the latter we consider the global limit as well as zoom into the edge and the bulk of the spectrum, providing new analytical results for classes AI <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:msup> <mml:mrow/> <mml:mo>†</mml:mo> </mml:msup> </mml:mrow> </mml:math> and AII <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:msup> <mml:mrow/> <mml:mo>†</mml:mo> </mml:msup> </mml:mrow> </mml:math> . For general k , we derive the effective Lagrangians corresponding to the non-linear σ -models in the respective physical systems. Interestingly, they agree for all three ensembles, while the corresponding Goldstone manifolds, over which one has to perform the remaining integrations, are different and equal the three classical compact groups in the bulk. In particular, our analytical results show that these three ensembles have indeed different local bulk and edge spectral statistics, corroborating the conjecture further.

Journal of Physics A Mathematical and TheoreticalVol. 58(12)
Seoul National University (KR), The University of Melbourne (AU), Bielefeld University (DE), University of Bristol (GB), National Institute for Mathematical Sciences (KR)
Deutsche Forschungsgemeinschaft, Australian Research Council
Openalex Percentile: Top 96%
Random Matrices and Applications
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