Based on differences of generalized Rényi entropies nontrivial constraints on the shape of the distribution function of broadly distributed observables are derived introducing a new parameter in order to quantify the deviation from lognormality. As a test example the properties of the two-measure random Cantor set are calculated exactly and finally using the results of numerical simulations the distribution of the eigenvector components calculated in the critical region of the lowest Landau-band is analyzed.
We study the statistics of eigenvectors in correlated random band matrix models. These models are characterized by two parameters, the band width B(N ) of a Hermitian N × N matrix and the correlation parameter C(N ) describing correlations of matrix elements along diagonal lines. The correlated band matrices show a much richer phenomenology than models without correlation as soon as the correlation parameter scales sufficiently fast with matrix size. In particular, for B(N ) ∼ √ N and C(N ) ∼ √ N , the model shows a localization-delocalization transition of the quantum Hall type.
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