Work

Power-law eigenvalue density, scaling, and critical random-matrix ensembles

Year: 2007
Type: article
Abstract: We consider a class of rotationally invariant unitary random matrix ensembles where the eigenvalue density falls off as an inverse power law. Under a scaling appropriate for such power-law densities (different from the scaling required in Gaussian random matrix ensembles), we calculate exactly the two-level kernel that determines all eigenvalue correlations. We show that such ensembles belong to the class of critical ensembles.
Language: English
Open Access status: green
OpenAlex ID: W2008338375
FWCI: 0.299
Cites: 31
Cited by: 6
Related to: 10