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Global multiplicity bounds and Spectral Statistics Random Operators

2018/03/19 by Anish Mallick, Mallick, Anish, M. Krishna +2
Materials Science · Mathematics · #Lanthanide and Transition Metal Complexes #Random Matrices and Applications #Spectral Theory in Mathematical Physics #math.SP #msc:47A10 #msc:47A55 #msc:47H40 #msc:81Q10

paper · pdf · doi:10.48550/arxiv.1803.06895

26 pages

arxiv created 2020/01/13 · arxiv updated 2020/01/14

Abstract

In this paper, we consider Anderson type operators on a separable Hilbert space where the random perturbations are finite rank and the random variables have full support on ℝ. We show that spectral multiplicity has a uniform lower bound whenever the lower bound is given on a set of positive Lebesgue measure on the point spectrum away from the continuous one. We also show a deep connection between the multiplicity of pure point spectrum and local spectral statistics, in particular, we show that spectral multiplicity higher than one always gives non-Poisson local statistics in the framework of Minami theory. In particular, in higher rank Anderson models with pure-point spectrum, with the randomness having support equal to ℝ, there is a uniform lower bound on spectral multiplicity and in case this is larger than one the local statistics is not Poisson.

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