Dependence of the density of states on the probability distribution for discrete random Schr\"odinger operators

TL;DR

This paper proves that the density of states measure for discrete random Schr"odinger operators is weak-* H"older-continuous in the probability measure, extending to various models and providing quantitative disorder dependence estimates.

Contribution

It establishes the weak-* H"older-continuity of the density of states measure for a broad class of discrete random Schr"odinger operators without requiring absolute continuity of the single-site measure.

Findings

Proves weak-* H"older-continuity of DOSm for various models.

Provides quantitative estimates for disorder dependence of DOSm and IDS.

Establishes continuity results for the Lyapunov exponent in 1D.

Abstract

We prove that the the density of states measure (DOSm) for random Schr\"odinger operators on $\mathbb{Z}^d$ is weak-$^*$ H\"older-continuous in the probability measure. The framework we develop is general enough to extend to a wide range of discrete, random operators, including the Anderson model on the Bethe lattice, as well as random Schr\"odinger operators on the strip. An immediate application of our main result provides quantitive continuity estimates for the disorder dependence of the DOSm and the integrated density of states (IDS) in the weak disorder regime. These results hold for a general compactly supported single-site probability measure, without any further assumptions. The few previously available results for the disorder dependence of the IDS valid for dimensions $d \geq 2$ assumed absolute continuity of the single-site measure and thus excluded the Bernoulli-Anderson model. As a further application of our main result, we establish quantitative continuity results for the Lyapunov exponent of random Schr\"odinger operators for $d=1$ in the probability measure with respect to the weak-$^*$ topology.