Hindustan Book Agency 2000; 414 pp; hardcover ISBN10: 8185931267 ISBN13: 9788185931265 List Price: US$44 Member Price: US$35.20 Order Code: HIN/5
 The vector space approach to the treatment of linear algebra is useful for geometric intuition leading to transparent proofs; it's also useful for generalization to infinitedimensional spaces. The Indian School, led by Professors C. R. Rao and S. K. Mitra, successfully employed this approach. This book follows their approach and systematically develops the elementary parts of matrix theory, exploiting the properties of row and column spaces of matrices. Developments in linear algebra during the past few decades have brought into focus several techniques not included in basic texts, such as rankfactorization, generalized inverses, and singular value decomposition. These techniques are actually simple enough to be taught at the advanced undergraduate level. When properly used, they provide a better understanding of the topic and give simpler proofs, making the subject more accessible to students. This book explains these techniques. It is intended as a textbook for the advanced student of mathematics and/or statistics. It will also be useful for students of physics, computer science, engineering, operations research, and research scientists. A publication of Hindustan Book Agency; distributed within the Americas by the American Mathematical Society. Maximum discount of 20% for all commercial channels. Readership Advanced undergraduates, graduate students, and researchers interested in linear algebra. Table of Contents  Preliminaries
 Vector spaces
 Algebra of matrices
 Rank and inverse
 Elementary operations and reduced forms
 Linear equations
 Determinants
 Inner product and orthogonality
 Eigenvalues
 Quadratic forms
 References
 More hints and solutions
 List of symbols
 Index
