The Least-Norm Solution to a Matrix Equation over the Dual Quaterion Algebra
In this paper, we explore the least-norm solution to the classical matrix equation AXB=C over the dual quaternion algebra, where A, B, and C are given matrices, while X remains the unknown matrix. We begin by transforming the definition of the Frobenius norm for dual quaternion matrices into an equivalent form. Using this new expression, we investigate the least-norm solution to the equation AXB=C under solvability conditions. Additionally, we examine the minimum real part of the norm solution in cases where a least-norm solution does not exist. Finally, we provide two numerical examples to illustrate the main findings of our study.
Authors
- L. Zhu
- Qing‐Wen Wang (ORCID: https://orcid.org/0000-0003-0189-5355)
- Zu-Liang Kou
Institutions
- Shanghai University (CN)
Publication Details
- Journal
- Symmetry
- Published
- 2025-02-10
- DOI
- https://doi.org/10.3390/sym17020267
- Citations
- 4
- Primary Topic
- Matrix Theory and Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 6.02
Funders
- National Natural Science Foundation of China