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Singular values of products of random matrices and polynomial ensembles
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Akemann, Ipsen, and Kieburg showed recently that the squared singular values of a product of M complex Ginibre matrices are distributed according to a determinantal point process. We introduce the notion of a polynomial ensemble and show how their result can be interpreted as a transformation of polynomial ensembles. We also show that the squared singular values of the product of M-1 complex Ginibre matrices with one truncated unitary matrix is a polynomial ensemble, and we derive a double integral representation for the correlation kernel associated with this ensemble. We use this to calculate the scaling limit at the hard edge, which turns out to be the same scaling limit as the one found by Kuijlaars and Zhang for the squared singular values of a product of M complex Ginibre matrices. Our final result is that these limiting kernels also appear as scaling limits for the biorthogonal ensembles of Borodin with parameter theta > 0, in case theta or 1/theta is an integer. This further supports the conjecture that these kernels have a universal character.
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Hard edge asymptotics of correlation functions between singular values and eigenvalues
For a broad class of bi-unitarily invariant random matrix ensembles, the large-n limit of the joint density of one eigenradius and k singular values at the hard edge is expressed through the limiting kernel of the sin...
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