On pure complex spectrum for truncations of random orthogonal matrices and Kac polynomials
Martin Gebert, Mihail Poplavskyi

TL;DR
This paper investigates the probability that a principal minor of a truncated random orthogonal matrix has no real eigenvalues, deriving a determinant formula and asymptotic behavior, with connections to Kac polynomial persistence.
Contribution
It provides a determinant identity for the no-real-eigenvalue probability of minors of truncated orthogonal matrices and establishes its asymptotic decay rate for a specific truncation.
Findings
Probability expressed via a determinant involving a Hankel matrix
Asymptotic decay rate of n^{-3/8} for the case =1
Connections made to persistence probabilities in Kac polynomials
Abstract
Let be the group of orthogonal matrices of size equipped with the probability distribution given by normalized Haar measure. We study the probability \begin{equation*} p_{2n}^{\left(\ell\right)} = \mathbb{P}\left[M_{2n} \, \mbox{has no real eigenvalues}\right], \end{equation*} where is the left top minor of a orthogonal matrix. We prove that this probability is given in terms of a determinant identity minus a weighted Hankel matrix of size that depends on the truncation parameter . For the matrix coincides with the Hilbert matrix and we prove \begin{equation*} p_{2n}^{\left(1\right)} \sim n^{-3/8}, \mbox{ when }n \to \infty. \end{equation*} We also discuss connections of the above to the persistence probability for random Kac polynomials.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
Topicsadvanced mathematical theories · Random Matrices and Applications
