Norm convergence rate for multivariate quadratic polynomials of Wigner matrices

We study Hermitian non-commutative quadratic polynomials of multiple independent Wigner matrices. We prove that, with the exception of some specific reducible cases, the limiting spectral density of the polynomials always has a square root growth at its edges and prove an optimal local law around these edges. Combining these two results, we establish that, as the dimension N of the matrices grows to infinity, the operator norm of such polynomials q converges to a deterministic limit with a rate of convergence of N − 2 / 3 + o ( 1 ) . Here, the exponent in the rate of convergence is optimal. For the specific reducible cases, we also provide a classification of all possible edge behaviors.

Authors

Institutions

Publication Details

Journal
Journal of Functional Analysis
Published
2024-08-31
DOI
https://doi.org/10.1016/j.jfa.2024.110647
Citations
1
Primary Topic
Random Matrices and Applications
Type
article
Field-Weighted Citation Impact
0.71

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Norm convergence rate for multivariate quadratic polynomials of Wigner matrices

Jacob Fronk, Yuriy Nemish, Torben Krüger
1 citations
Journal of Functional Analysis
Random Matrices and Applications
0.71
article

Norm convergence rate for multivariate quadratic polynomials of Wigner matrices

Jacob Fronk, Yuriy Nemish, Torben Krüger
article en
1 citations

Abstract

We study Hermitian non-commutative quadratic polynomials of multiple independent Wigner matrices. We prove that, with the exception of some specific reducible cases, the limiting spectral density of the polynomials always has a square root growth at its edges and prove an optimal local law around these edges. Combining these two results, we establish that, as the dimension N of the matrices grows to infinity, the operator norm of such polynomials q converges to a deterministic limit with a rate of convergence of N − 2 / 3 + o ( 1 ) . Here, the exponent in the rate of convergence is optimal. For the specific reducible cases, we also provide a classification of all possible edge behaviors.

Journal of Functional AnalysisVol. 287(12)
University of Copenhagen (DK), Friedrich-Alexander-Universität Erlangen-Nürnberg (DE), University of California San Diego (US), Department of Mathematical Sciences (RU)
Villum Fonden
Openalex Percentile: Top 27%
Random Matrices and Applications
0.71
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.