Critical statistics in a power-law random banded matrix ensemble
Imre Varga (1), Daniel Braun (2) ((1) Philipps Universitaet, Marburg, Germany, (2) Universitaet-Gesamthochschule Essen, Germany)

TL;DR
This paper studies the spectral properties of a power-law random banded matrix ensemble, revealing unique critical statistics at the localization-delocalization transition point, with eigenstates being multifractal.
Contribution
It provides numerical evidence that spectral statistics at the critical point differ from semi-Poisson, highlighting unique features of systems with a localization-delocalization transition.
Findings
Spectral statistics at criticality differ from semi-Poisson.
Eigenstates are multifractal at the transition.
The model exhibits a localization-delocalization transition at ermu=1.
Abstract
We investigate the statistical properties of the eigenvalues and eigenvectors in a random matrix ensemble with . It is known that this model shows a localization-delocalization transition (LDT) as a function of the parameter . The model is critical at and the eigenstates are multifractals. Based on numerical simulations we demonstrate that the spectral statistics at criticality differs from semi-Poisson statistics which is expected to be a general feature of systems exhibiting a LDT or `weak chaos'.
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.
