English

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 2(C)\ell^2(\mathcal{C}), where C \mathcal{C} is the canopy tree, the random operator we consider is ΔC+yJωyPy\Delta_{\mathcal{C}}+\sum_{y\in J}\omega_y P_y, where ΔC\Delta_{\mathcal{C}} is the adjacency operator over the tree, {ωy}yJ\{\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 PyP_y are projections on 2({xC:dist(y,x)<m0&yx})\ell^2(\{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.

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

R2 v1 2026-06-22T20:12:41.583Z