Eigenvalue Density of Correlated Complex Random Wishart Matrices
Steven H. Simon, Aris L. Moustakas

TL;DR
This paper derives an exact formula for the eigenvalue density of correlated complex Wishart matrices, which are important in various scientific fields, using a novel character expansion method.
Contribution
It introduces a new exact calculation method for the eigenvalue density of correlated Wishart matrices with arbitrary positive definite matrices A and B.
Findings
Exact eigenvalue density formula derived
Applicable to matrices of arbitrary dimensions
Method useful for multivariate analysis and information theory
Abstract
Using a character expansion method, we calculate exactly the eigenvalue density of random matrices of the form M^\dagger M where M is a complex matrix drawn from a normalized distribution P(M) ~ exp(-\Tr(A M B M^\dagger) with A and B positive definite (square) matrices of arbitrary dimensions. Such so-called ``correlated Wishart matrices'' occur in many fields ranging from information theory to multivariate analysis.
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