English

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 mm independent N×NN \times N sub-blocks of a Haar distributed random real orthogonal matrix of size (Li+N)×(Li+N)(L_i+N) \times (L_i+N), (i=1,,m)(i=1,\dots,m) 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 mm and with each LiL_i even the probability is a rational number. The formulae furthermore provide for explicit computation in small order cases.

Keywords

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)