A open education resource (CC BY) thanks to the Saylor Foundation and Kenneth Kuttler, PhD.
Purchase a print copy (503 pages) $39.95
Download the PDF (free, 503 pages, 6 Mb)
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.
Purchase Print $ 35.95
paperback, 433 pages,
Download free Textbook (pdf) (433 pages, 5 Mb)
Download free Solutions Manual (pdf) (158 pages, 3 Mb) (no print version)
(CC BY) This is an introduction to linear algebra. The main part of the book features row operations and everything is done in terms of the row reduced echelon form and speciﬁc algorithms. At the end, the more abstract notions of vector spaces and linear transformations on vector spaces are presented. However, this is intended to be a ﬁrst course in linear algebra for students who are sophomores or juniors who have had a course in one variable calculus and a reasonable background in college algebra.
Download before buying. Linear Algebra (Free PDF, 447 pages, 7MB)
Download Linear Algebra Answers to Exercises (Free PDF, 264 pages, 2MB)
View Author’s Website
Order Printed Copy: Linear Algebra $29.95
Order Printed Copy: Linear Algebra Answers $19.95
Or order direct from Amazon.com
- Publication Date: Feb 29 2012
- ISBN/EAN13: 1493757369 / 9781493757367
- Page Count: 466
- Binding Type: US Trade Paper
- Trim Size: 8.5″ x 11″
- Color: Black and White with Bleed
- Related Categories: Mathematics / Algebra / Linear