Probability of all eigenvalues real for products of standard Gaussian matrices
arXiv:1309.7736 · doi:10.1088/1751-8113/47/6/065202
Abstract
With independent standard Gaussian random matrices, the probability that all eigenvalues are real for the matrix product is expressed in terms of an ( even) and ( odd) determinant. The entries of the determinant are certain Meijer -functions. In the case high precision computation indicates that the entries are rational multiples of , with the denominator a power of 2, and that to leading order in decays as . We are able to show that for general and large , with an explicit . An analytic demonstration that as is given.
15 pages; in version 2, as is shown for general , not just as in version 1
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