English
Determinantal structure of eigenvector correlations in the complex Ginibre ensemble
Multi angle
Auteurs : Akemann, Gernot (Auteur de la Conférence)
CIRM (Editeur )
60B20 - Random matrices (probabilistic aspects)
60G55 - Point processes
CIRM (Editeur )
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Résumé :
We study the expectation of the matrix of overlaps of left and right eigenvectors in the complex Ginibre ensemble, conditioned on a fixed number of k complex eigenvalues.
The diagonal (k=1) and off-diagonal overlap (k=2) were introduced by Chalker and Mehlig. They provided exact expressions for finite matrix size N, in terms of a large determinant of size proportional to N. In the large-N limit these overlaps were determined on the global scale and heuristic arguments for the local scaling at the origin were given. The topic has seen a rapid development in the recent past. Our contribution is to derive exact determinantal expressions of size k x k in terms of a kernel, valid for finite N and arbitrary k.
It can be expressed as an operator acting on the complex eigenvalue correlation functions and allows us to determine all local correlations in the bulk close to the origin, and at the spectral edge. The methods we use are bi-orthogonal polynomials in the complex plane and the analyticity of the diagonal overlap for general k.
This is joint work with Roger Tribe, Athanasios Tsareas, and Oleg Zaboronski as appeared in arXiv:1903.09016 [math-ph]
Codes MSC : The diagonal (k=1) and off-diagonal overlap (k=2) were introduced by Chalker and Mehlig. They provided exact expressions for finite matrix size N, in terms of a large determinant of size proportional to N. In the large-N limit these overlaps were determined on the global scale and heuristic arguments for the local scaling at the origin were given. The topic has seen a rapid development in the recent past. Our contribution is to derive exact determinantal expressions of size k x k in terms of a kernel, valid for finite N and arbitrary k.
It can be expressed as an operator acting on the complex eigenvalue correlation functions and allows us to determine all local correlations in the bulk close to the origin, and at the spectral edge. The methods we use are bi-orthogonal polynomials in the complex plane and the analyticity of the diagonal overlap for general k.
This is joint work with Roger Tribe, Athanasios Tsareas, and Oleg Zaboronski as appeared in arXiv:1903.09016 [math-ph]
60B20 - Random matrices (probabilistic aspects)
60G55 - Point processes
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Informations sur la Vidéo
Réalisateur : Recanzone, LucaLangue : Anglais Date de publication : 09/05/2019 Date de captation : 08/04/2019 Sous collection : Research talks arXiv category : Probability ; Mathematical Physics Domaine : Mathematical Physics ; Probability & Statistics Format : MP4 (.mp4) - HD Durée : 00:58:19 Audience : Researchers Download : https://videos.cirm-math.fr/2019-04-08_Akemann.mp4 
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Informations sur la Rencontre
Nom de la rencontre : Chaire Jean-Morlet : Equation intégrable aux données initiales aléatoires / Jean-Morlet Chair : Integrable Equation with Random Initial DataOrganisateurs de la rencontre : Basor, Estelle ; Bufetov, Alexander ; Cafasso, Mattia ; Grava, Tamara ; McLaughlin, Ken Dates : 08/04/2019 - 12/04/2019 Année de la rencontre : 2019 URL Congrès : https://www.chairejeanmorlet.com/2104.html
Données de citation
DOI : 10.24350/CIRM.V.19514403Citer cette vidéo: Akemann, Gernot (2019). Determinantal structure of eigenvector correlations in the complex Ginibre ensemble. CIRM. Audiovisual resource. doi:10.24350/CIRM.V.19514403 URI : http://dx.doi.org/10.24350/CIRM.V.19514403 |
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Bibliographie
- AKEMANN, Gernot, TRIBE, Roger, TSAREAS, Athanasios, et al. On the determinantal structure of conditional overlaps for the complex Ginibre ensemble. arXiv preprint arXiv:1903.09016, 2019. - https://arxiv.org/abs/1903.09016
