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. I think that the subject of linear algebra is likely the most significant topic discussed in undergraduate mathematics courses. Part of the reason for this is its usefulness in unifying so many different topics. Linear algebra is essential in analysis, applied math, and even in theoretical mathematics. This is the point of view of this book, more than a presentation of linear algebra for its own sake. This is why there are numerous applications, some fairly unusual.Compare with the exact answers. 3. Find the eigenvalues and eigenvectors of the matrix A = 3 2 1 2 5 3 1 3 2 numerically. The exact eigenvalues are 2, 4 + a 15, 4 a a 15. Compare your numerical results with the exact values.

Title | : | Linear Algebra: Theory and Applications |

Author | : | Kenneth Kuttler |

Publisher | : | The Saylor Foundation - 2012-01-29 |

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