Localization for heavy-tailed Anderson models

Using recent results on uniform large deviation estimates for random matrix products obtained by S. Raman and the author, we prove localization for one dimensional Anderson models with heavy tails.

Publication Details

Journal
ArXiv.org
Published
2025-05-14
Primary Topic
Random Matrices and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Localization for heavy-tailed Anderson models

ArXiv.org
Random Matrices and Applications
article

Localization for heavy-tailed Anderson models

article en

Abstract

Using recent results on uniform large deviation estimates for random matrix products obtained by S. Raman and the author, we prove localization for one dimensional Anderson models with heavy tails.

ArXiv.org
Openalex Percentile: Top 46%
Random Matrices and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Localization for heavy-tailed Anderson models · ArXiv.org (2025) | TGRS Research Map | TGRS