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Universal eigenvector correlations in quaternionic Ginibre ensembles

Gernot Akemann, Yanik-Pascal Förster, Mario Kieburg

2020Journal of Physics A Mathematical and Theoretical10 citationsDOIOpen Access PDF

Abstract

Abstract Non-Hermitian random matrices enjoy non-trivial correlations in the statistics of their eigenvectors. We study the overlap among left and right eigenvectors in Ginibre ensembles with quaternion valued Gaussian matrix elements. This concept was introduced by Chalker and Mehlig in the complex Ginibre ensemble. Using a Schur decomposition, for harmonic potentials we can express the overlap in terms of complex eigenvalues only, coming in conjugate pairs in this symmetry class. Its expectation value leads to a Pfaffian determinant, for which we explicitly compute the matrix elements for the induced Ginibre ensemble with zero eigenvalues, for finite matrix size N . In the macroscopic large- N limit in the bulk of the spectrum we recover the limiting expressions of the complex Ginibre ensemble for the diagonal and off-diagonal overlap, which are thus universal.

Topics & Concepts

PfaffianRandom matrixMathematicsComplex conjugateEigenvalues and eigenvectorsGaussianDiagonal matrixLimit (mathematics)Matrix (chemical analysis)Pure mathematicsDiagonalSymmetry (geometry)QuaternionLimitingSymmetric matrixZero (linguistics)Hermitian matrixOrthogonal matrixHarmonicDiagonalizable matrixComplex planeSpectrum (functional analysis)SigmaCombinatoricsClass (philosophy)Random Matrices and ApplicationsQuantum Mechanics and Non-Hermitian PhysicsAlgebraic structures and combinatorial models