Universal Parametric Correlations of Eigenvalues of Random Matrix Ensemble
Kasper Eriksen, Yang Chen

TL;DR
This paper derives a universal formula for eigenvalue correlations in random matrix ensembles under external perturbations, especially near hard edge singularities, using Dyson Brownian Motion and hydrodynamical equations.
Contribution
It introduces a universal dependence of eigenvalue density correlations on external fields for matrices with hard edge singularities, solved via a hydrodynamical approach.
Findings
Derived a universal density-density correlator formula.
Obtained a Laplace transform expression for variance of linear statistics.
Extended understanding of eigenvalue behavior under external perturbations.
Abstract
Eigenvalue correlations of random matrix ensembles as a function of an external perturbation are investigated vis the Dyson Brownian Motion Model in the situation where the level density has a hard edge singularity. By solving a linearized hydrodynamical equation, a universal dependence of the density-density correlator on the external field is found. As an application we obtain a formula for the variance of linear statistics with the parametric dependence exhibited as a Laplace transform.
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.
