Anderson localization and ergodicity on random regular graphs
Abstract
A numerical study of Anderson transition on random regular graphs (RRGs) with diagonal disorder is performed. The problem can be described as a tight-binding model on a lattice with N sites that is locally a tree with constant connectivity. In a certain sense, the RRG ensemble can be seen as an infinite-dimensional (d →∞ ) cousin of the Anderson model in d dimensions. We focus on the delocalized side of the transition and stress the importance of finite-size effects. We show that the data can be interpreted in terms of the finite-size crossover from a small (N ≪Nc ) to a large (N ≫Nc ) system, where Nc is the correlation volume diverging exponentially at the transition. A distinct feature of this crossover is a nonmonotonicity of the spectral and wave-function statistics, which is related to properties of the critical phase in the studied model and renders the finite-size analysis highly nontrivial. Our results support an analytical prediction that states in the delocalized phase (and at N ≫Nc ) are ergodic in the sense that their inverse participation ratio scales as 1 /N .
- Publication:
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Physical Review B
- Pub Date:
- December 2016
- DOI:
- arXiv:
- arXiv:1604.05353
- Bibcode:
- 2016PhRvB..94v0203T
- Keywords:
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- Condensed Matter - Disordered Systems and Neural Networks
- E-Print:
- Phys. Rev. B 94, 220203 (2016)