Linear Algebra
Hindustan Book Agency (Publisher)
2nd Edition
Published on 15. May 2000
Book
Hardback
428 pages
978-81-85931-26-5 (ISBN)
Description
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.
More details
Series
Edition
2nd Revised edition
Language
English
Place of publication
New Delhi
India
Target group
College/higher education
Professional and scholarly
Edition type
Revised edition
Illustrations
428 p.
Dimensions
Height: 235 mm
Width: 155 mm
ISBN-13
978-81-85931-26-5 (9788185931265)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

A. Ramachandra Rao | P. Bhimasankaram
Linear Algebra
E-Book
05/2000
2nd Edition
Hindustan Book Agency
€42.79
Available for download
Content
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
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