Localization for a matrix-valued Anderson model

TL;DR

This paper establishes localization for a class of one-dimensional matrix-valued random Schr"odinger operators using algebraic and multiscale analysis techniques, extending understanding of spectral and dynamical properties in random matrix models.

Contribution

It proves localization under F"urstenberg group assumptions, introduces algebraic methods for singular distributions, and provides a concrete example satisfying the assumptions.

Findings

Localization in spectral and dynamical senses on an interval

Wegner estimate established for these operators

Algebraic approach handles singular distributions

Abstract

We study localization properties for a class of one-dimensional, matrix-valued, continuous, random Schr\"odinger operators, acting on $L^2(\R)\otimes \C^N$, for arbitrary $N\geq 1$. We prove that, under suitable assumptions on the F\"urstenberg group of these operators, valid on an interval $I\subset \R$, they exhibit localization properties on $I$, both in the spectral and dynamical sense. After looking at the regularity properties of the Lyapunov exponents and of the integrated density of states, we prove a Wegner estimate and apply a multiscale analysis scheme to prove localization for these operators. We also study an example in this class of operators, for which we can prove the required assumptions on the F\"urstenberg group. This group being the one generated by the transfer matrices, we can use, to prove these assumptions, an algebraic result on generating dense Lie subgroups in semisimple real connected Lie groups, due to Breuillard and Gelander. The algebraic methods used here allow us to handle with singular distributions of the random parameters.