1. Power-law random banded matrices and ultrametric matrices: Eigenvector distribution in the intermediate regime
- Author
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E. Bogomolny, Martin Sieber, Laboratoire de Physique Théorique et Modèles Statistiques (LPTMS), Centre National de la Recherche Scientifique (CNRS)-Université Paris-Sud - Paris 11 (UP11), and University of Bristol [Bristol]
- Subjects
[PHYS]Physics [physics] ,Quantum Physics ,Generalised hyperbolic distribution ,Distribution (number theory) ,FOS: Physical sciences ,Mathematical Physics (math-ph) ,01 natural sciences ,Power law ,010305 fluids & plasmas ,Integer matrix ,Matrix (mathematics) ,0103 physical sciences ,Statistical physics ,Quantum Physics (quant-ph) ,010306 general physics ,Ultrametric space ,Random matrix ,Mathematical Physics ,Eigenvalues and eigenvectors ,Mathematics - Abstract
The power-law random banded matrices and the ultrametric random matrices are investigated numerically in the regime where eigenstates are extended but all integer matrix moments remain finite in the limit of large matrix dimensions. Though in this case standard analytical tools are inapplicable, we found that in all considered cases eigenvector distributions are extremely well described by the generalised hyperbolic distribution which differs considerably from the usual Porter-Thomas distribution but shares with it certain universal properties., 20 pages, 12 figures
- Published
- 2018
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