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.
1. Preliminaries on Quaternion Matrices
2. Ordinary differential equations and recurrence relations
3. Systems of differential equations and discrete analogies
4. Integration for advanced calculus models
5. Partial differential equations and applications
6. Approximation Problems and Constrained Solutions to Quaternion Two-Sided Matrix Equations
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.
