Even grade generic skew-symmetric matrix polynomials with bounded rank

We show that the set of m×m complex skew-symmetric matrix polynomials of even grade d, i.e., of degree at most d, and (normal) rank at most 2r is the closure of the single set of matrix polynomials with certain, explicitly described, complete eigenstructure. This complete eigenstructure corresponds to the most generic m×m complex skew-symmetric matrix polynomials of even grade d and rank at most 2r. The analogous problem for the case of skew-symmetric matrix polynomials of odd grade is solved in [24].

Authors

Institutions

Publication Details

Journal
Linear Algebra and its Applications
Published
2024-08-23
DOI
https://doi.org/10.1016/j.laa.2024.07.024
Citations
2
Primary Topic
Matrix Theory and Algorithms
Type
article
Field-Weighted Citation Impact
0.72

Funders

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

Even grade generic skew-symmetric matrix polynomials with bounded rank

Froilán M. Dopico, Andrii Dmytryshyn, Fernando De Terán
2 citations
Linear Algebra and its Applications
Matrix Theory and Algorithms
0.72
article

Even grade generic skew-symmetric matrix polynomials with bounded rank

Froilán M. Dopico, Andrii Dmytryshyn, Fernando De Terán
article en
2 citations

Abstract

We show that the set of m×m complex skew-symmetric matrix polynomials of even grade d, i.e., of degree at most d, and (normal) rank at most 2r is the closure of the single set of matrix polynomials with certain, explicitly described, complete eigenstructure. This complete eigenstructure corresponds to the most generic m×m complex skew-symmetric matrix polynomials of even grade d and rank at most 2r. The analogous problem for the case of skew-symmetric matrix polynomials of odd grade is solved in [24].

Linear Algebra and its ApplicationsVol. 702
Örebro University (SE), Universidad Carlos III de Madrid (ES)
Vetenskapsrådet, Agencia Estatal de Investigación
Openalex Percentile: Top 26%
Matrix Theory and Algorithms
0.72
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.