Delocalization of Non-Mean-Field Random Matrices in Dimensions $d\ge 3$
Sofiia Dubova, Fan Yang, Horng-Tzer Yau, Jun Yin

TL;DR
This paper proves delocalization, quantum ergodicity, and universality of eigenvalue statistics for high-dimensional random band matrices and related models when the bandwidth exceeds a polynomial scale, revealing a localization-delocalization transition.
Contribution
It establishes delocalization and universality results for random band matrices and block models in dimensions $d \\ge 3$ with bandwidth above a polynomial threshold, extending previous understanding.
Findings
Bulk eigenvectors are delocalized for large bandwidth W.
Quantum unique ergodicity (QUE) holds in the bulk.
Bulk eigenvalue statistics are universal in the large-N limit.
Abstract
We study random band matrices with mean-zero complex Gaussian entries, where lie on the discrete torus in dimensions . The variance profile satisfies , with whenever the distance between and exceeds a bandwidth parameter . We prove that if for some constant , then in the large- limit, bulk eigenvectors are delocalized, quantum unique ergodicity (QUE) holds, and the local bulk eigenvalue statistics are universal. Our proof is based on the tree approximation of the loop hierarchy (arXiv:2501.01718) and diagrammatic techniques developed in earlier works (arXiv:1807.02447, arXiv:2104.12048, arXiv:2107.05795, arXiv:2412.15207, arXiv:2503.07606). Besides random band matrices, we also study two classical…
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