Read more about Linear Algebra, Theory And Applications

Linear Algebra, Theory And Applications

(2 reviews)

Kenneth Kuttler, Bringham Young University

Copyright Year: 2012

Publisher: Saylor Foundation

Language: English

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Reviewed by Aida Galeb, Assistant Teaching Professor, University of Massachusetts Lowell on 6/29/20

The book has detailed explanations of many topics in linear algebra. The theorems and proofs are well phrased. There are lot of examples to support the theory. Many problems are provided for additional practice. read more

Reviewed by Leo Butler, Associate Professor, North Dakota State University on 1/7/16

This is intended as a text for a second linear algebra course. In addition to covering the expected topics (in no particular order: linear transformations, matrices, row reduction, determinants, characteristic polynomial, spectral theory), the... read more

Table of Contents

  1. Preliminaries
  2. Linear Transformations
  3. Determinants
  4. Row Operations
  5. Some Factorizations
  6. Spectral Theory
  7. Vector Spaces And Fields
  8. Linear Transformations
  9. Canonical Forms
  10. Markov Processes
  11. Inner Product Spaces
  12. Self Adjoint Operators
  13. Norms
  14. Numerical Methods, Eigenvalues

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  • About the Book

    This is a book on linear algebra and matrix theory. While it is self contained, it will work best for those who have already had some exposure to linear algebra. It is also assumed that the reader has had calculus. Some optional topics require more analysis than this, however.

    This book features an ugly, elementary, and complete treatment of determinants early in the book. Thus it might be considered as Linear algebra done wrong. I have done this because of the usefulness of determinants. However, all major topics are also presented in an alternative manner which is independent of determinants.

    The book has an introduction to various numerical methods used in linear algebra. This is done because of the interesting nature of these methods. The presentation here emphasizes the reasons why they work. It does not discuss many important numerical considerations necessary to use the methods effectively. These considerations are found in numerical analysis texts.

    About the Contributors


    Kenneth Kuttler, Professor of Mathematics at Bringham Young University. University of Texas at Austin, Ph.D. in Mathematics.

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