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Linear Algebra, Theory And Applications, 2012a

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Preface<br />

This is a book on linear algebra and matrix theory. While it is self contained, it will work<br />

best for those who have already had some exposure to linear algebra. It is also assumed that<br />

the reader has had calculus. Some optional topics require more analysis than this, however.<br />

I think that the subject of linear algebra is likely the most significant topic discussed in<br />

undergraduate mathematics courses. Part of the reason for this is its usefulness in unifying<br />

so many different topics. <strong>Linear</strong> algebra is essential in analysis, applied math, and even in<br />

theoretical mathematics. This is the point of view of this book, more than a presentation<br />

of linear algebra for its own sake. This is why there are numerous applications, some fairly<br />

unusual.<br />

This book features an ugly, elementary, and complete treatment of determinants early<br />

in the book. Thus it might be considered as <strong>Linear</strong> algebra done wrong. I have done this<br />

because of the usefulness of determinants. However, all major topics are also presented in<br />

an alternative manner which is independent of determinants.<br />

The book has an introduction to various numerical methods used in linear algebra.<br />

This is done because of the interesting nature of these methods. The presentation here<br />

emphasizes the reasons why they work. It does not discuss many important numerical<br />

considerations necessary to use the methods effectively. These considerations are found in<br />

numerical analysis texts.<br />

In the exercises, you may occasionally see ↑ at the beginning. This means you ought to<br />

have a look at the exercise above it. Some exercises develop a topic sequentially. There are<br />

also a few exercises which appear more than once in the book. I have done this deliberately<br />

because I think that these illustrate exceptionally important topics and because some people<br />

don’t read the whole book from start to finish but instead jump in to the middle somewhere.<br />

There is one on a theorem of Sylvester which appears no fewer than 3 times. Then it is also<br />

proved in the text. There are multiple proofs of the Cayley Hamilton theorem, some in the<br />

exercises. Some exercises also are included for the sake of emphasizing something which has<br />

been done in the preceding chapter.<br />

9

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