Weighted spectral core inverse

Abstract Based on the sum and difference of some generalized inverses, the spectral core inverse was introduced for square matrices and has some spectral properties of the Drazin inverse, which implies its significance and applications. In terms of a weight matrix, we extend the concept of the spectral core inverse to rectangular matrices and define the weighted spectral core inverse as a novel wider kind of weighted generalized inverses. We develop properties and characterizations of the weighted spectral core inverse. Representations and canonical forms for the weighted spectral core inverse are presented. We also consider the weighted dual spectral core inverse. Applying the weighted (dual) spectral core inverse, we solve minimization problems and systems of linear equations.

Authors

Institutions

Publication Details

Journal
Mathematica Slovaca
Published
2026-07-22
DOI
https://doi.org/10.1515/ms-2026-0173
Primary Topic
Matrix Theory and Algorithms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Weighted spectral core inverse

Dijana Mosić, Huihui Zhu
Mathematica Slovaca
Matrix Theory and Algorithms
article

Weighted spectral core inverse

Dijana Mosić, Huihui Zhu
article en

Abstract

Abstract Based on the sum and difference of some generalized inverses, the spectral core inverse was introduced for square matrices and has some spectral properties of the Drazin inverse, which implies its significance and applications. In terms of a weight matrix, we extend the concept of the spectral core inverse to rectangular matrices and define the weighted spectral core inverse as a novel wider kind of weighted generalized inverses. We develop properties and characterizations of the weighted spectral core inverse. Representations and canonical forms for the weighted spectral core inverse are presented. We also consider the weighted dual spectral core inverse. Applying the weighted (dual) spectral core inverse, we solve minimization problems and systems of linear equations.

Mathematica Slovaca
University of Nis (RS), Hefei University of Technology (CN)
Openalex Percentile: Top 6%
Matrix Theory and Algorithms
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.