Eigenvalue Statistics for higher rank Anderson model over Canopy tree
Spectral Theory
2017-06-09 v1
Abstract
This work is focused on the local eigenvalue statistics for the Anderson tight binding model with non-rank-one perturbations over the canopy tree, at large disorder. On the Hilbert space , where is the canopy tree, the random operator we consider is , where is the adjacency operator over the tree, are i.i.d real random variables following some absolutely continuous distribution having a bounded density with compact support, and are projections on . For this operator, we show that, the eigenvalue-counting point process converges to compound Poisson process.
Keywords
Cite
@article{arxiv.1706.02488,
title = {Eigenvalue Statistics for higher rank Anderson model over Canopy tree},
author = {Narayanan P. A.},
journal= {arXiv preprint arXiv:1706.02488},
year = {2017}
}
Comments
24 pages, 3 figures