Eigenvalue statistics for CMV matrices: From Poisson to clock via random matrix ensembles
Killip, Rowan ; Stoiciu, Mihai
Duke Math. J., Tome 146 (2009) no. 1, p. 361-399 / Harvested from Project Euclid
We study CMV matrices (discrete one-dimensional Dirac-type operators) with random decaying coefficients. Under mild assumptions, we identify the local eigenvalue statistics in the natural scaling limit. For rapidly decreasing coefficients, the eigenvalues have rigid spacing (like the numerals on a clock); in the case of slow decrease, the eigenvalues are distributed according to a Poisson process. For a certain critical rate of decay, we obtain the $\beta$ -ensembles of random matrix theory. The temperature $\beta^{-1}$ appears as the square of the coupling constant
Publié le : 2009-02-15
Classification:  81Q10,  60F17
@article{1231947433,
     author = {Killip, Rowan and Stoiciu, Mihai},
     title = {Eigenvalue statistics for CMV matrices: From Poisson to clock via random matrix ensembles},
     journal = {Duke Math. J.},
     volume = {146},
     number = {1},
     year = {2009},
     pages = { 361-399},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1231947433}
}
Killip, Rowan; Stoiciu, Mihai. Eigenvalue statistics for CMV matrices: From Poisson to clock via random matrix ensembles. Duke Math. J., Tome 146 (2009) no. 1, pp.  361-399. http://gdmltest.u-ga.fr/item/1231947433/