Linear Algebra and Applications Textbook
Welcome yet again. This page focuses on a revised edition of my linear algebra textbook "Applied Linear Algebra and Matrix Analysis", henceforth referred to as "ALAMA", which is available in hardcopy or online at Springer-Verlag as of June, 2018. A few comments are in order:
Why this text revision? I'm still committed to a balanced blend of theory, application and computation. As I noted in the preface for the first edition of ALAMA: "My own experience ranges from pure mathematician (my first research was in group and ring theory) to numerical analyst (my current speciality). I've seen linear algebra from many viewpoints and I think they all have something to offer. My computational experience makes me like the use of technology in the course -- a natural fit for linear algebra -- and computer exercises and group projects also fit very well into the context of linear algebra. My applied math background colors my choice and emphasis of applications and topics. At the same time, I have a traditionalist streak that expects a text to be rigorous, correct and complete. After all, linear algebra also serves as a bridge course between lower and higher level mathematics."
But times change, don't they? The notion of mathematical experimentation as an important part of a linear algebra course has become commonplace, and I continue to support this perspective. I took this revision as an opportunity to incorporate the many helpful corrections and suggestions for improvement of the text that I received from instructors who used the text; for that I thank all of them! And a contemporary perspective on linear algebra has to incorporate some of the extraordinary recent technological developments that depend heavily on concepts from linear algebra, and indeed these developments reinforce the centrality of this discipline. A prime example is the PageRank technology that was developed by Google. This technology found a place in every chapter but one of the revised text. Likewise, digital signal processing (DSP) finds a place in three chapters of the revised text. A fairly substantial introduction to linear programming is found in Chapter 3. A proof of the Jordan Canonical Form theorem can be found in Chapter 5. Even a brief introduction to Fourier analysis and its connections to linear algebra (needed for an understanding of some of the underlying principles of DSP) can be found in Chapter 6.
If you have any suggestions or comments, drop me a line. I appreciate any feedback.
ResourcesA complete solutions manual to all exercises and problems in the text will be available to instructors who adopt the text. Instructors who have adopted the text and would like a copy of this manual should contact me via email.
For the benefit of instructors and students using my text, (some of) the resources available for the first edition are still relevant and listed below. I also have complete solution keys to the exams and projects that are found in the directories below. I will email these to adopting instructors upon request. The text materials come in three flavors: pdf for perusal, LyX and Latex for modification and use by instructors.
Note: There are two new items in the list below. The first is ALAMA Calculator Files, which contains commentaries and programs written for ALAMA calculator. This calculator is an easy-to-use button calculator that I programmed in C++ off and on for the past few years. It was originally for my amusement, but I was struck by how useful this simple button calculator could be as a tool in a linear algebra course. So I designed it with an eye to the ALAMA textbook, both first and revised editions. It has enough capabilities that I could even carry out a few projects with it and used it to create some of the graphs that appear in the revised ALAMA, along with pretty much all the routine matrix calculations in ALAMA -- nice tool if you want to check answers. ALAMA Calculator Files contains scripts for nearly all the examples from ALAMA that require technology tools, as well as a few programs that I wrote (yes, it's a fully programmable calculator, but it takes a bit of careful thinking to do it).
The second item is a directory which will contain exercises and problems (and even projects) that are nice supplements to the text. They will be submitted by me or instructors using the textbook (with attribution, of course). So if you have any exercises, problems or projects that you found useful and would like to share, by all means send them in to me.
I have decided for the time being to distribute the executables of ALAMA Calculator from my own blog site. NB: Do not download the program from any other source. Go to the following link and click on the Linear Algebra menu item:
Tom Shores: Ends and Odds
There you will find links to versions of the calculator for Mac, Windows and some flavors of Linux along with discussions about installation of the program. Longer term, I may port it to Windows UWP or Apple iOS, but these are much more extensive projects. have no idea how suitable the APIs of UWP are for the calculator and good old Apple, Objective C wasn't different enough from C++, so they introduced Swift, which is a problem since FLTK and Eigen are written in C++.
Unrandom Notes and FAQ for ALAMA Calculator and TextHere are some notes about topics of interest, comments and answers to questions asked by users of ALAMA text and calculator.
Errata SheetMight there be a law of spontaneous generation of errors? My rational mind says "no", but in spite of my dedicated proofreading, they will no doubt occur. In fact, since publication, I have already found a few, and I have recorded them in the errata sheet below. If you find any unlisted errors, please report them to me and I will publish them in the errata sheet.
Table of Contents