Claeys, Tom
[UCL]
Kuijlaars, Arno
[KULeuven]
Wang, Dong
[University of Singapore]
Let X be a random matrix whose squared singular value density is a polynomial ensemble. We derive double contour integral formulas for the correlation kernels of the squared singular values of GX and TX, where G is a complex Ginibre matrix and T is a truncated unitary matrix. We also consider the product of X and several complex Ginibre/truncated unitary matrices. As an application, we derive the precise condition for the squared singular values of the product of several truncated unitary matrices to follow a polynomial ensemble. We also consider the sum H+M where H is a GUE matrix and M is a random matrix whose eigenvalue density is a polynomial ensemble. We show that the eigenvalues of H+M follow a polynomial ensemble whose correlation kernel can be expressed as a double contour integral. As an application, we point out a connection to the two-matrix model.
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Bibliographic reference |
Claeys, Tom ; Kuijlaars, Arno ; Wang, Dong. Correlation kernels for sums and products of random matrices. In: Random Matrices: Theory and Applications, Vol. 4, no. 4, p. 1550017 (2015) |
Permanent URL |
http://hdl.handle.net/2078.1/167932 |