From non-ergodic eigenvectors to local resolvent statistics and back: a random matrix perspective
Davide Facoetti, Pierpaolo Vivo, Giulio Biroli

TL;DR
This paper investigates the local resolvent statistics and non-ergodic eigenvector properties in a generalized Rosenzweig-Porter random matrix model, revealing phase transitions and delocalization behaviors through analytical methods.
Contribution
It introduces a novel analysis linking local resolvent statistics with non-ergodic eigenvector phases in a complex random matrix model.
Findings
Eigenstates delocalize over N^{2-eta} sites in the non-ergodic phase
Eigenvector properties are connected to local resolvent statistics in a new scaling limit
The model exhibits two phase transitions with a non-ergodic delocalized phase
Abstract
We study the statistics of the local resolvent and non-ergodic properties of eigenvectors for a generalised Rosenzweig-Porter random matrix model, undergoing two transitions separated by a delocalised non-ergodic phase. Interpreting the model as the combination of on-site random energies and a structurally disordered hopping, we found that each eigenstate is delocalised over sites close in energy in agreement with Kravtsov \emph{et al}, arXiv:1508.01714. Our other main result, obtained combining a recurrence relation for the resolvent matrix with insights from Dyson's Brownian motion, is to show that the properties of the non-ergodic delocalised phase can be probed studying the statistics of the local resolvent in a non-standard scaling limit.
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.
