Delocalization and ergodicity of the Anderson model on Bethe lattices
Giulio Biroli, Marco Tarzia

TL;DR
This paper reviews the delocalized non-ergodic phase of the Anderson model on Bethe lattices, introduces new numerical methods to study large systems, and clarifies the conditions under which ergodicity is recovered or persists.
Contribution
It presents new results using Belief Propagation to analyze eigenfunction and energy level statistics on large samples, and clarifies the differences between Cayley trees and random regular graphs regarding ergodicity.
Findings
Existence of a delocalized non-ergodic phase on Cayley trees.
Ergodicity is recovered on random regular graphs above a crossover size N_c(W).
The crossover size N_c(W) diverges exponentially near the localization transition.
Abstract
We review the state of the art on the delocalized non-ergodic regime of the Anderson model on Bethe lattices. We also present new results using Belief Propagation, which consists in solving the self-consistent recursion relations for the Green's functions directly on a given sample. This allows us to numerically study very large system sizes and to directly access observables related to the eigenfunctions and energy level statistics. In agreement with recent works, we establish the existence of a delocalized non-ergodic phase on Cayley trees. On random regular graphs instead our results indicate that ergodicity is recovered when the system size is larger than a cross-over scale , which diverges exponentially fast approaching the localization transition. This scale corresponds to the size at which the mean-level spacing becomes smaller than the Thouless energy . Such…
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Taxonomy
TopicsTheoretical and Computational Physics · Stochastic processes and statistical mechanics · Random Matrices and Applications
