Perron complements of γ-diagonally and product γ-diagonally dominant matrices

This study extends the classical result on Schur complements of diagonally dominant matrices to Perron complements of nonnegative irreducible matrices. We provide sufficient conditions guaranteeing that both γ -diagonal dominance and product γ -diagonal dominance are preserved under Perron complementation. The theoretical results are validated through carefully designed numerical experiments.

Authors

Institutions

Publication Details

Journal
Journal of Inequalities and Applications
Published
2026-11-11
DOI
https://doi.org/10.1186/s13660-026-03553-1
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
NOV
article

Perron complements of γ-diagonally and product γ-diagonally dominant matrices

Gufang Mou, Qin Zhong, Ling Li
Journal of Inequalities and Applications
Matrix Theory and Algorithms
article

Perron complements of γ-diagonally and product γ-diagonally dominant matrices

Gufang Mou, Qin Zhong, Ling Li
article en

Abstract

This study extends the classical result on Schur complements of diagonally dominant matrices to Perron complements of nonnegative irreducible matrices. We provide sufficient conditions guaranteeing that both γ -diagonal dominance and product γ -diagonal dominance are preserved under Perron complementation. The theoretical results are validated through carefully designed numerical experiments.

Journal of Inequalities and Applications
Chengdu University of Information Technology (CN), Chengdu Technological University (CN), Sichuan University Jinjiang College (CN)
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.

Laika access coming soon