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Eigenvalue Statistics for higher rank Anderson model over Canopy tree

Published 8 Jun 2017 in math.SP | (1706.02488v1)

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 $\ell2(\mathcal{C})$, where $ \mathcal{C} $ is the canopy tree, the random operator we consider is $\Delta_{\mathcal{C}}+\sum_{y\in J}\omega_y P_y$, where $\Delta_{\mathcal{C}}$ is the adjacency operator over the tree, ${\omega_y}_{y\in J}$ are i.i.d real random variables following some absolutely continuous distribution having a bounded density with compact support, and $P_y$ are projections on $\ell2({x\in\mathcal{C}: dist(y,x)< m_0 & y\prec x})$. For this operator, we show that, the eigenvalue-counting point process converges to compound Poisson process.

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