On the probability of positive-definiteness in the gGUE via semi-classical Laguerre polynomials
Alfredo Dea\~no, Nick Simm

TL;DR
This paper calculates the probability that a matrix from the gGUE is positive definite by analyzing the asymptotics of semi-classical Laguerre polynomials through Riemann-Hilbert methods.
Contribution
It extends previous results by deriving the large degree asymptotics of semi-classical Laguerre polynomials for the gGUE.
Findings
Derived asymptotics of semi-classical Laguerre polynomials
Computed positive-definiteness probability for gGUE matrices
Extended prior results of Dean and Majumdar
Abstract
In this paper, we compute the probability that an matrix from the generalised Gaussian Unitary Ensemble (gGUE) is positive definite, extending a previous result of Dean and Majumdar \cite{DM}. For this purpose, we work out the large degree asymptotics of semi-classical Laguerre polynomials and their recurrence coefficients, using the steepest descent analysis of the corresponding Riemann--Hilbert problem.
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.
