Parametric Spectral Statistics in Unitary Random Matrix Ensembles: From Distribution Functions to Intra-Level Correlations

TL;DR

This paper develops a comprehensive framework for analyzing parametric spectral statistics in unitary random matrix ensembles, including joint distributions, correlation functions, and universality, applicable to non-Gaussian potentials.

Contribution

It introduces a general method for calculating parametric eigenvalue statistics and demonstrates their universality beyond Gaussian ensembles.

Findings

Derived joint distribution functions for eigenvalues of H and H'

Established universality of correlation functions for non-Gaussian potentials

Provided exact calculations for intra-level velocity autocorrelation and level shifts

Abstract

We establish a general framework to explore parametric statistics of individual energy levels in unitary random matrix ensembles. For a generic confinement potential $W(H)$, we (i) find the joint distribution functions of the eigenvalues of $H$ and $H'=H+V$ for an arbitrary fixed $V$ both for finite matrix size $N$ and in the ``thermodynamic'' $N\to\infty$ limit; (ii) derive many-point parametric correlation functions of the two sets of eigenvalues and show that they are naturally parametrised by the eigenvalues of the reactance matrix for scattering off the ``potential'' $V$; (iii) prove the universality of the correlation functions in unitary ensembles with non-Gaussian non-invariant confinement potential $W(H-V)$; (iv) establish a general scheme for exact calculation of level-number-dependent parametric correlation functions and apply the scheme to the calculation of intra-level velocity autocorrelation function and the distribution of parametric level shifts.