The Elliptic Ginibre Ensemble: A Unifying Approach to Local and Global Statistics for Higher Dimensions
G. Akemann, M. Duits, L. D. Molag

TL;DR
This paper develops a unifying mathematical framework for analyzing local and global spectral statistics of the elliptic Ginibre ensemble in higher dimensions, connecting non-Hermitian and Hermitian random matrices through saddle point analysis.
Contribution
It introduces a rigorous saddle point method to derive spectral statistics for the elliptic Ginibre ensemble and extends results to higher dimensions, including new local bulk and edge kernels.
Findings
Proved global spectral statistics for the elliptic Ginibre ensemble.
Derived local bulk and edge kernels in higher dimensions.
Connected non-Hermitian matrices with higher-dimensional harmonic oscillators.
Abstract
The elliptic Ginibre ensemble of complex non-Hermitian random matrices allows to interpolate between the rotational invariant Ginibre ensemble and the Gaussian unitary ensemble of Hermitian random matrices. It corresponds to a two-dimensional one-component Coulomb gas in a quadrupolar field, at inverse temperature . Furthermore, it represents a determinantal point process in the complex plane with corresponding kernel of planar Hermite polynomials. Our main tool is a saddle point analysis of a single contour integral representation of this kernel. We provide a unifying approach to rigorously derive several known and new results of local and global spectral statistics, including in higher dimensions. First, we prove the global statistics in the elliptic Ginibre ensemble first derived by Forrester and Jancovici. The limiting kernel receives its main contribution from the boundary…
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Taxonomy
TopicsSoil Geostatistics and Mapping · Bayesian Methods and Mixture Models · Landslides and related hazards
