Systems of quaternionic linear matrix equations: solution, computation, algorithm, and applications

Author:

Rehman Abdur1,Rahman Muhammad Zia Ur2,Ghaffar Asim2,Martin-Barreiro Carlos3,Castro Cecilia4,Leiva Víctor5,Cabezas Xavier67

Affiliation:

1. Department of Basic Sciences and Humanities, University of Engineering and Technology, Lahore, Faisalabad Campus, Faisalabad, Pakistan

2. Department of Mechanical, Mechatronics and Manufacturing Engineering, University of Engineering and Technology, Lahore, Faisalabad Campus, Faisalabad, Pakistan

3. Facultad de Ingeniería, Universidad Espíritu Santo, Samborondón, Ecuador

4. Centre of Mathematics, Universidade do Minho, Braga, Portugal

5. Escuela de Ingeniería Industrial, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile

6. Facultad de Ciencias Naturales y Matemáticas, Escuela Superior Politécnica del Litoral ESPOL, Guayaquil, Ecuador

7. Centro de Estudios e Investigaciones Estadísticas, Escuela Superior Politécnica del Litoral ESPOL, Guayaquil, Ecuador

Abstract

<p>In applied and computational mathematics, quaternions are fundamental in representing three-dimensional rotations. However, specific types of quaternionic linear matrix equations remain few explored. This study introduces new quaternionic linear matrix equations and their necessary and sufficient conditions for solvability. We employ a methodology involving lemmas and ranks of coefficient matrices to develop a novel algorithm. This algorithm is validated through numerical examples, showing its applications in advanced fields. In control theory, these equations are used for analyzing control systems, particularly for spacecraft attitude control in aerospace engineering and for control of arms in robotics. In quantum computing, quaternionic equations model quantum gates and transformations, which are important for algorithms and error correction, contributing to the development of fault-tolerant quantum computers. In signal processing, these equations enhance multidimensional signal filtering and noise reduction, with applications in color image processing and radar signal analysis. We extend our study to include cases of $ \eta $-Hermitian and i-Hermitian solutions. Our work represents an advancement in applied mathematics, providing computational methods for solving quaternionic matrix equations and expanding their practical applications.</p>

Publisher

American Institute of Mathematical Sciences (AIMS)

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