Enhancing Gershgorin-type theorems: Novel approaches to localization of generalized tensor eigenvalues

This paper introduces novel inclusion sets for localizing generalized eigenvalues of tensor pairs. First, we present new Gershgorin-type theorems that define regions in the complex plane, providing greater computational simplicity than existing methods. Second, we develop discs that remove restrictive assumptions, broadening the method's applicability to a wider range of tensors. These proposed sets offer both computational efficiency and tighter eigenvalue bounds than previous techniques. Numerical examples are included to demonstrate the method's superior accuracy and effectiveness.

Authors

Institutions

Publication Details

Journal
Journal of Industrial and Management Optimization
Published
2025-01-01
DOI
https://doi.org/10.3934/jimo.2025068
Primary Topic
Tensor decomposition and applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing Gershgorin-type theorems: Novel approaches to localization of generalized tensor eigenvalues

Abbas Askarizadeh, Mohsen Tourang, Mostafa Zangiabadi
Journal of Industrial and Management Optimization
Tensor decomposition and applications
article

Enhancing Gershgorin-type theorems: Novel approaches to localization of generalized tensor eigenvalues

Abbas Askarizadeh, Mohsen Tourang, Mostafa Zangiabadi
article en

Abstract

This paper introduces novel inclusion sets for localizing generalized eigenvalues of tensor pairs. First, we present new Gershgorin-type theorems that define regions in the complex plane, providing greater computational simplicity than existing methods. Second, we develop discs that remove restrictive assumptions, broadening the method's applicability to a wider range of tensors. These proposed sets offer both computational efficiency and tighter eigenvalue bounds than previous techniques. Numerical examples are included to demonstrate the method's superior accuracy and effectiveness.

Journal of Industrial and Management OptimizationVol. 21(6)
University of Hormozgan (IR)
Openalex Percentile: Top 92%
Tensor decomposition and applications
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.