pith. sign in

arxiv: 1803.10697 · v1 · pith:XQUCJCB2new · submitted 2018-03-28 · 🧮 math-ph · math.MP

Large deviations of the Lyapunov exponent and localization for the 1D Anderson model

classification 🧮 math-ph math.MP
keywords andersonlocalizationmodelanalysislargelyapunovmodelsmulti-scale
0
0 comments X
read the original abstract

The proof of Anderson localization for the 1D Anderson model with arbitrary (e.g. Bernoulli) disorder, originally given by Carmona-Klein-Martinelli in 1987, is based in part on the multi-scale analysis. Later, in the 90s, it was realized that for one-dimensional models with positive Lyapunov exponents some parts of multi-scale analysis can be replaced by considerations involving subharmonicity and large deviation estimates for the corresponding cocycle, leading to nonperturbative proofs for 1D quasiperiodic models. In this paper we present a short proof along these lines, for the Anderson model. To prove dynamical localization we also develop a uniform version of Craig-Simon's bound that works in high generality and may be of independent interest.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.