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Localization near the edge for the lattice Anderson-Bernoulli model on general dimension
Abstract
The Anderson tight-binding model is a fundamental model of quantum transport and localization in disordered media. Solving a problem left open by Bourgain and Kenig, this paper proves Anderson localization near the bottom of the spectrum for the lattice Anderson model with Bernoulli potential, in any dimension d≥ 2. The proof uses the multiscale framework of Fröhlich-Spencer and Bourgain-Kenig, and the main new ingredient is a probabilistic discrete unique continuation principle (PDUC) for the discrete Schrödinger equation. This PDUC is established via a bootstrap argument and a key probabilistic lemma proved by adaptively revealing the random potential.
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BibTeX
@misc{li2026localization,
title = {{Localization near the edge for the lattice Anderson-Bernoulli model on general dimension}},
author = {Linjun Li and Shihe Liu and Lingfu Zhang},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2609.30209},
eprint = {2609.30209},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.30209},
}
RIS
TY - UNPB
TI - Localization near the edge for the lattice Anderson-Bernoulli model on general dimension
AU - Linjun Li
AU - Shihe Liu
AU - Lingfu Zhang
PY - 2026
DA - 2026/10/20
PB - arXiv
DO - 10.48550/arxiv.2609.30209
UR - https://arxiv.org/abs/2609.30209
AB - The Anderson tight-binding model is a fundamental model of quantum transport and localization in disordered media. Solving a problem left open by Bourgain and Kenig, this paper proves Anderson localization near the bottom of the spectrum for the lattice Anderson model with Bernoulli potential, in any dimension d≥ 2. The proof uses the multiscale framework of Fröhlich-Spencer and Bourgain-Kenig, and the main new ingredient is a probabilistic discrete unique continuation principle (PDUC) for the discrete Schrödinger equation. This PDUC is established via a bootstrap argument and a key probabilistic lemma proved by adaptively revealing the random potential.
ER -