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 infinite-dimensional 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 have brought into focus several techniques not included in basic texts, such as rank-factorization, 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.
Reihe
Auflage
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Editions-Typ
Illustrationen
Maße
Höhe: 235 mm
Breite: 155 mm
ISBN-13
978-81-85931-26-5 (9788185931265)
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Schweitzer Klassifikation
1.Preliminaries
2.Vector spaces
3.Algebra of matrices
4.Rank and inverse
5.Elementary operations and reduced forms
6.Linear equations
7.Determinants
8.Inner product and orthogonality
9.Eigenvalues
10.Quadratic forms
References
More hints and solutions
List of symbols
Index