Eigenvalue Separation in Some Random Matrix Models
arXiv:0810.1554 · doi:10.1063/1.3081391
Abstract
The eigenvalue density for members of the Gaussian orthogonal and unitary ensembles follows the Wigner semi-circle law. If the Gaussian entries are all shifted by a constant amount c/Sqrt(2N), where N is the size of the matrix, in the large N limit a single eigenvalue will separate from the support of the Wigner semi-circle provided c > 1. In this study, using an asymptotic analysis of the secular equation for the eigenvalue condition, we compare this effect to analogous effects occurring in general variance Wishart matrices and matrices from the shifted mean chiral ensemble. We undertake an analogous comparative study of eigenvalue separation properties when the size of the matrices are fixed and c goes to infinity, and higher rank analogues of this setting. This is done using exact expressions for eigenvalue probability densities in terms of generalized hypergeometric functions, and using the interpretation of the latter as a Green function in the Dyson Brownian motion model. For the shifted mean Gaussian unitary ensemble and its analogues an alternative approach is to use exact expressions for the correlation functions in terms of classical orthogonal polynomials and associated multiple generalizations. By using these exact expressions to compute and plot the eigenvalue density, illustrations of the various eigenvalue separation effects are obtained.
25 pages, 9 figures included
References in corpus (15)
- The Calogero-Sutherland Model and Generalized Classical Polynomials
- Biorthogonal ensembles
- Eigenvalue statistics of the real Ginibre ensemble
- Correlations for the orthogonal-unitary and symplectic-unitary transitions at the hard and soft edges
- The Ginibre ensemble of real random matrices and its scaling limits
- Central limit theorems for eigenvalues in a spiked population model
- Large n limit of Gaussian random matrices with external source, part I
- A note on biorthogonal ensembles
- Integrable Structure of Ginibre's Ensemble of Real Random Matrices and a Pfaffian Integration Theorem
- Speed of synchronization in complex networks of neural oscillators Analytic results based on Random Matrix Theory
- Hermite and Laguerre -ensembles: asymptotic corrections to the eigenvalue density
- General Eigenvalue Correlations for the Real Ginibre Ensemble
- Polynuclear growth model, GOE and random matrix with deterministic source
- Spiked Models in Wishart Ensemble
- Dyson's non-intersecting Brownian motions with a few outliers
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- Three Problems Related to the Eigenvalues of Complex Non-central Wishart Matrices with a Rank-1 Mean
- Onset of universality in the dynamical mixing of a pure state
- Top eigenpair statistics of diluted Wishart matrices
- Edge effects in some perturbations of the GUE
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