Determinantal point processes in the plane from products of random matrices
arXiv:1308.6817 · doi:10.1214/14-AIHP632
Abstract
We show the density of eigenvalues for three classes of random matrix ensembles is determinantal. First we derive the density of eigenvalues of product of independent matrices with i.i.d. complex Gaussian entries with a few of matrices being inverted. In second example we calculate the same for (compatible) product of rectangular matrices with i.i.d. Gaussian entries and in last example we calculate for product of independent truncated unitary random matrices. We derive exact expressions for limiting expected empirical spectral distributions of above mentioned ensembles.
31 pages, 0 figure. Added a reference to the previous version
References in corpus (3)
Cited by in corpus (12)
- Products of Random Matrices from Polynomial Ensembles
- Exact Relation between Singular Value and Eigenvalue Statistics
- Polynomial Ensembles and Pólya Frequency Functions
- Eigenvector statistics of the product of Ginibre matrices
- The Probability That All Eigenvalues are Real for Products of Truncated Real Orthogonal Random Matrices
- On the number of real eigenvalues of a product of truncated orthogonal random matrices
- Exact spectral densities of complex noise-plus-structure random matrices
- Spectral statistics for the difference of two Wishart matrices
- Products of random matrices from fixed trace and induced Ginibre ensembles
- Product matrix processes for coupled multi-matrix models and their hard edge scaling limits
- Local Tail Statistics of Heavy-Tailed Random Matrix Ensembles with Unitary Invariance
- Entropy and singular-value moments of products of truncated random unitary matrices