A note on the limiting mean distribution of singular values for products of two Wishart random matrices
arXiv:1305.0726 · doi:10.1063/1.4818978
Abstract
The product of M complex random Gaussian matrices of size N has recently been studied by Akemann, Kieburg and Wei. They showed that, for fixed M and N, the joint probability distribution for the squared singular values of the product matrix forms a determinantal point process with a correlation kernel determined by certain biorthogonal polynomials that can be explicitly constructed. We find that, in the case M=2, the relevant biorthogonal polynomials are actually special cases of multiple orthogonal polynomials associated with Macdonald functions (modified Bessel functions of the second kind) which was first introduced by Van Assche and Yakubovich. With known results on asymptotic zero distribution of these polynomials and general theory on multiple orthogonal polynomial ensembles, it is then easy to obtain an explicit expression for the distribution of squared singular values for the product of two complex random Gaussian matrices in the limit of large matrix dimensions.
12 pages, minor changes, references added and updated, typos corrected
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Cited by in corpus (7)
- Products of Rectangular Random Matrices: Singular Values and Progressive Scattering
- Singular values of products of Ginibre random matrices, multiple orthogonal polynomials and hard edge scaling limits
- Universal microscopic correlation functions for products of truncated unitary matrices
- Relating the Bures measure to the Cauchy two-matrix model
- Raney distributions and random matrix theory
- Universality conjecture and results for a model of several coupled positive-definite matrices
- Local universality in biorthogonal Laguerre ensembles