Exploring Transformations and Properties of Secondary J Binormal Matrices: Closure Challenges and Skew-Symmetric Conversions

This paper investigates the conditions for a secondary J binormal matrix to transition into a secondary J normal matrix and examines the analogous transformation for a secondary Jbnbinormal matrix to become a secondary J normal matrix. We also analyze the distinctive properties associated with secondary binormal is matrices. Moreover, we address a crucial issue: the lack of closure under addition for secondary binormal matrices. Furthermore, we investigate the essential requirements and conditions that are both necessary and sufficient for transforming a secondary J skew-symmetric matrix into a secondary binormal matrix.

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Publication Details

Journal
Advances in Nonlinear Variational Inequalities
Published
2024-12-18
DOI
https://doi.org/10.52783/anvi.v28.2850
Primary Topic
Matrix Theory and Algorithms
Type
article
Field-Weighted Citation Impact
0.00
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article

Exploring Transformations and Properties of Secondary J Binormal Matrices: Closure Challenges and Skew-Symmetric Conversions

K. Jaikumar
Advances in Nonlinear Variational Inequalities
Matrix Theory and Algorithms
article

Exploring Transformations and Properties of Secondary J Binormal Matrices: Closure Challenges and Skew-Symmetric Conversions

K. Jaikumar
article en

Abstract

This paper investigates the conditions for a secondary J binormal matrix to transition into a secondary J normal matrix and examines the analogous transformation for a secondary Jbnbinormal matrix to become a secondary J normal matrix. We also analyze the distinctive properties associated with secondary binormal is matrices. Moreover, we address a crucial issue: the lack of closure under addition for secondary binormal matrices. Furthermore, we investigate the essential requirements and conditions that are both necessary and sufficient for transforming a secondary J skew-symmetric matrix into a secondary binormal matrix.

Advances in Nonlinear Variational InequalitiesVol. 28(3s)
Openalex Percentile: Top 69%
Matrix Theory and Algorithms
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