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Introduction to matrix theory / Arindama Singh.

Springer Nature - Springer Mathematics and Statistics eBooks 2021 English International Available online

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Format:
Book
Author/Creator:
Singh, Arindama, author.
Language:
English
Subjects (All):
Matrices.
Physical Description:
1 online resource (IX, 194 p. 2 illus., 1 illus. in color.)
Edition:
1st ed. 2021.
Place of Publication:
Cham, Switzerland : Springer, [2021]
Summary:
This book is designed to serve as a textbook for courses offered to undergraduate and postgraduate students enrolled in Mathematics. Using elementary row operations and Gram-Schmidt orthogonalization as basic tools the text develops characterization of equivalence and similarity, and various factorizations such as rank factorization, OR-factorization, Schurtriangularization, Diagonalization of normal matrices, Jordan decomposition, singular value decomposition, and polar decomposition. Along with Gauss-Jordan elimination for linear systems, it also discusses best approximations and least-squares solutions. The book includes norms on matrices as a means to deal with iterative solutions of linear systems and exponential of a matrix. The topics in the book are dealt with in a lively manner. Each section of the book has exercises to reinforce the concepts, and problems have been added at the end of each chapter. Most of these problems are theoretical, and they do not fit into the running text linearly. The detailed coverage and pedagogical tools make this an ideal textbook for students and researchers enrolled in senior undergraduate and beginning postgraduate mathematics courses.
Contents:
Matrix Operations
Systems of Linear Equations
Matrix as a Linear Map
Orthogonality
Eigenvalues and Eigenvectors
Canonical Forms
Norms of Matrices
Short Bibliography
Index.
Notes:
Description based on print version record.
ISBN:
3-030-80481-X

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