Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
1998-09-10
Phys.Rev. E59 (1999) 2853-2862
Physics
Condensed Matter
Disordered Systems and Neural Networks
12 pages, 8 figures, REVTeX. Additional figure and text on the level number variance, to appear in Phys.Rev.E
Scientific paper
10.1103/PhysRevE.59.2853
We consider orthogonal, unitary, and symplectic ensembles of random matrices with (1/a)(ln x)^2 potentials, which obey spectral statistics different from the Wigner-Dyson and are argued to have multifractal eigenstates. If the coefficient $a$ is small, spectral correlations in the bulk are universally governed by a translationally invariant, one-parameter generalization of the sine kernel. We provide analytic expressions for the level spacing distribution functions of this kernel, which are hybrids of the Wigner-Dyson and Poisson distributions. By tuning the single parameter, our results can be excellently fitted to the numerical data for three symmetry classes of the three-dimensional Anderson Hamiltonians at the metal-insulator transition, previously measured by several groups using exact diagonalization.
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