Eigenvector varieties

Any linear space of square matrices has an associated eigenvector variety. Its points are eigenvectors of matrices from that linear space. We present a systematic study of eigenvector varieties, with focus on Lie algebras and Hamiltonians of quantum systems.

Authors

Publication Details

Journal
Advances in Applied Mathematics
Published
2026-08-26
DOI
https://doi.org/10.1016/j.aam.2026.103146
Primary Topic
Algebraic structures and combinatorial models
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Eigenvector varieties

Sandra Di Rocco, Svala Sverrisdóttir, Bernd Sturmfels
Advances in Applied Mathematics
Algebraic structures and combinatorial models
article

Eigenvector varieties

Sandra Di Rocco, Svala Sverrisdóttir, Bernd Sturmfels
article en

Abstract

Any linear space of square matrices has an associated eigenvector variety. Its points are eigenvectors of matrices from that linear space. We present a systematic study of eigenvector varieties, with focus on Lie algebras and Hamiltonians of quantum systems.

Advances in Applied MathematicsVol. 181
Vetenskapsrådet
Openalex Percentile: Top 30%
Algebraic structures and combinatorial models
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.

Eigenvector varieties — Sandra Di Rocco, Svala Sverrisdóttir, et al. · Advances in Applied Mathematics (2026) | TGRS Research Map | TGRS