Higher order parametric level statistics in disordered systems
E. Kanzieper, V. Freilikher

TL;DR
This paper derives an analytical expression for higher order parametric level correlations in disordered systems with broken time-reversal symmetry, using a random matrix model to analyze the effects of multicomponent flux perturbations.
Contribution
It introduces a novel analytical approach to compute parametric density-density correlations in disordered systems affected by multicomponent flux, advancing understanding of spectral statistics.
Findings
Derived a closed-form expression for parametric density-density correlation functions.
Mapped the problem onto a coupled Hermitian random matrix model.
Provided insights into spectral correlations under flux perturbations.
Abstract
Higher order parametric level correlations in disordered systems with broken time-reversal symmetry are studied by mapping the problem onto a model of coupled Hermitian random matrices. Closed analytical expression is derived for parametric density-density correlation function which corresponds to a perturbation of disordered system by a multicomponent flux.
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.
