The Probability That All Eigenvalues are Real for Products of Truncated Real Orthogonal Random Matrices
Mathematical Physics
2017-07-06 v2 math.MP
Data Analysis, Statistics and Probability
Abstract
The probability that all eigenvalues of a product of independent sub-blocks of a Haar distributed random real orthogonal matrix of size , are real is calculated as a multi-dimensional integral, and as a determinant. Both involve Meijer G-functions. Evaluation formulae of the latter, based on a recursive scheme, allow it to be proved that for any and with each even the probability is a rational number. The formulae furthermore provide for explicit computation in small order cases.
Cite
@article{arxiv.1606.03670,
title = {The Probability That All Eigenvalues are Real for Products of Truncated Real Orthogonal Random Matrices},
author = {Peter J. Forrester and Santosh Kumar},
journal= {arXiv preprint arXiv:1606.03670},
year = {2017}
}
Comments
Published version (Journal of Theoretical Probability, 2017)