Universality of local spectral statistics of products of random matrices.


Journal

Physical review. E
ISSN: 2470-0053
Titre abrégé: Phys Rev E
Pays: United States
ID NLM: 101676019

Informations de publication

Date de publication:
Nov 2020
Historique:
received: 07 09 2020
accepted: 08 11 2020
entrez: 17 12 2020
pubmed: 18 12 2020
medline: 18 12 2020
Statut: ppublish

Résumé

We derive exact analytical expressions for correlation functions of singular values of the product of M Ginibre matrices of size N in the double scaling limit M,N→∞. The singular value statistics is described by a determinantal point process with a kernel that interpolates between Gaussian unitary ensemble statistic and Dirac-delta (picket-fence) statistic. In the thermodynamic limit N→∞, the interpolation parameter is given by the limiting quotient a=N/M. One of our goals is to find an explicit form of the kernel at the hard edge, in the bulk, and at the soft edge for any a. We find that in addition to the standard scaling regimes, there is a transitional regime which interpolates between the hard edge and the bulk. We conjecture that these results are universal, and that they apply to a broad class of products of random matrices from the Gaussian basin of attraction, including correlated matrices. We corroborate this conjecture by numerical simulations. Additionally, we show that the local spectral statistics of the considered random matrix products is identical with the local statistics of Dyson Brownian motion with the initial condition given by equidistant positions, with the crucial difference that this equivalence holds only locally. Finally, we have identified a mesoscopic spectral scale at the soft edge which is crucial for the unfolding of the spectrum.

Identifiants

pubmed: 33327167
doi: 10.1103/PhysRevE.102.052134
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

052134

Auteurs

Gernot Akemann (G)

Faculty of Physics, Bielefeld University, Postfach 100131, D-33501 Bielefeld, Germany.

Zdzislaw Burda (Z)

Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, al. Mickiewicza 30, PL-30059 Krakow, Poland.

Mario Kieburg (M)

School of Mathematics and Statistics, University of Melbourne, 813 Swanston Street, Parkville, Melbourne VIC 3010, Australia.

Classifications MeSH