A cornerstone of linear algebra, the determinant's utility in real and complex fields is undeniable, though traditionally limited to invertibility, rank, and solving linear systems. Quaternion Generalized Inverses: Foundations, Theory, Problems, and Solutions ventures into uncharted territory: extending these concepts to linear algebra over the noncommutative quaternion skew field. The author's groundbreaking theory of "noncommutative" row–column determinants is central to this exploration, a significant advancement beyond the Moore determinant. This seven-chapter work thoroughly introduces the history of noncommutative determinants before delving into the author's theory and its application to inverse matrix computation and Cramer's rule for quaternion systems. The main portion of this work is dedicated to a comprehensive examination of quaternion generalized inverses, spanning the well-established Moore–Penrose and Drazin inverses to more recent developments such as core-EP and composite inverses. The book provides their definitions, properties, and, uniquely, their determinantal representations based on the author's noncommutative determinants. It culminates in demonstrating their powerful applications in solving a wide range of quaternion matrix equations, including Sylvester-type and constrained equations, as well as differential matrix equations.
Les mer
Preliminaries Reviews on noncommutative determinants Quaternion row and column determinants The main quaternion generalized inverses Quaternion core-EP and composite inverses Applications of generalized inverses in solving matrix equations Generalized inverses in solving restricted QTSME
Les mer
Introduces and applies linear algebra and matrix theory for the analysis of real and complex number fields, with practical examples, problems, and solutions
Provides a comprehensive study of quaternion generalized inverses and introduces the theory of rowcolumn determinants for quaternion matrices Demonstrates direct methods to compute generalized inverses by their determinantal representations Utilizes the determinantal representations of generalized inverses in solving quaternion matrix equations Includes problems, solutions, and chapter core concept reviews, as well as recommendations for course
Les mer

Produktdetaljer

ISBN
9780443341458
Publisert
2025-08-04
Utgiver
Elsevier Science Publishing Co Inc; Academic Press Inc
Vekt
1210 gr
Høyde
235 mm
Bredde
191 mm
Aldersnivå
U, 05
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
592

Forfatter

Om bidragsyterne

Ivan I. Kyrchei is a leading researcher at the Pidstryhach Institute for Applied Problems of Mechanics and Mathematics of NAS, Ukraine. In 2008, he completed his PhD at the Taras Shevchenko National University (Kyiv, Ukraine). His dissertation developed the theory of column-row determinants of matrices over quaternion algebras, which are a generalization of Moore's determinant, previously introduced only for Hermitian matrices. These scientific interests have led to academic publications in about 100 scientific works and SCI papers, among them, Applied Mathematics and Computation, Linear Algebra and its Applications, Linear and Multilinear Algebra, Discrete Mathematics, Advances in Applied Clifford Algebras, and the Journal of Mathematical Analysis and Applications.