Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2011-10-11
Phys. Rev E 84, 031121 (2011)
Physics
Condensed Matter
Disordered Systems and Neural Networks
14 pages, 6 figures
Scientific paper
10.1103/PhysRev.84.031121
Using the simple procedure, recently introduced, of dividing Gaussian matrices by a positive random variable, a family of random matrices is generated characterized by a behavior ruled by the generalized hyperbolic distribution. The spectral density evolves from the semi-circle law to a Gaussian-like behavior while concomitantly the local fluctuations show a transition from the Wigner-Dyson to the Poisson statistics. Long range statistics such as number variance exhibit large fluctuations typical of non-ergodic ensembles.
Bohigas Oriol
Pato M. P.
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