Non–Hermitian spectral universality at critical points

Abstract For general large non–Hermitian random matrices X and deterministic normal deformations A , we prove that the local eigenvalue statistics of $$A+X$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>A</mml:mi> <mml:mo>+</mml:mo> <mml:mi>X</mml:mi> </mml:mrow> </mml:math> close to the critical edge points of its spectrum are universal. This concludes the proof of the third and last remaining typical universality class for non–Hermitian random matrices (for normal deformations), after bulk and sharp edge universalities have been established in recent years.

Authors

Institutions

Publication Details

Journal
Probability Theory and Related Fields
Published
2025-05-19
DOI
https://doi.org/10.1007/s00440-025-01384-7
Citations
1
Primary Topic
Random Matrices and Applications
Type
article
Field-Weighted Citation Impact
2.63

Funders

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

Non–Hermitian spectral universality at critical points

Giorgio Cipolloni, László Erdős, Hong Chang Ji
1 citations
Probability Theory and Related Fields
Random Matrices and Applications
2.63
article

Non–Hermitian spectral universality at critical points

Giorgio Cipolloni, László Erdős, Hong Chang Ji
article en
1 citations

Abstract

Abstract For general large non–Hermitian random matrices X and deterministic normal deformations A , we prove that the local eigenvalue statistics of $$A+X$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>A</mml:mi> <mml:mo>+</mml:mo> <mml:mi>X</mml:mi> </mml:mrow> </mml:math> close to the critical edge points of its spectrum are universal. This concludes the proof of the third and last remaining typical universality class for non–Hermitian random matrices (for normal deformations), after bulk and sharp edge universalities have been established in recent years.

Probability Theory and Related Fields
University of Wisconsin System (US), University of Wisconsin–Madison (US), University of Arizona (US), Institute of Science and Technology Austria (AT)
Institute of Science and Technology Austria
Openalex Percentile: Top 12%
Random Matrices and Applications
2.63
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.

Non–Hermitian spectral universality at critical points — Giorgio Cipolloni, László Erdős, et al. · Probability Theory and Related Fields (2025) | TGRS Research Map | TGRS