What are the best linear algebra textbooks for self-study?

In summary, the conversation discusses the search for a suitable linear algebra book for self-study. The person is a graduate student in pure math and wants an approach that is theoretical, directed to a mature audience, and self-contained to some extent. They want to avoid computations and applications, but realize that it is necessary to learn matrices and determinants. Several books are mentioned, including Linear Algebra by Hoffman and Kunze, Finite-Dimensional Vector Spaces by Halmos, Linear Algebra Done Right by Axler, Linear Algebra by Shilov, Advanced Linear Algebra by Roman, Introduction to Linear Algebra by Lang, Matrix Analysis by Horn and Johnson, Linear Algebra by Curtis, and Linear Algebra by Lax. The conversation also mentions some free resources for
  • #1
dmuthuk
41
1
Hi, I'm a grad student in pure math and I'm trying to re-learn my linear algebra from scratch because I never learned it properly while I was an undergrad. Actually, the course I took in second year was aimed mostly at science students and so we never went into much depth (half the course was on matrix algebra). Now, I'm having trouble picking a suitable linear algebra book for self-study. I'm looking for an approach which is very theoretical and directed to a mature audience but also self-contained at the same time to some extent. I want to avoid computations and applications as much as possible, but I'm finding out that you can't learn linear algebra without getting into matrices and determinants. I was wondering if someone can suggest a few books for me. I have the following books right now:

1. Linear Algebra (4th Edition) by Friedberg, Insel, Spence
2. Linear Algebra (2nd Edition) by Hoffman, Kunze
3. The Linear Algebra a Beginning Graduate Student Ought to Know by Jonathan Golan

Are these books good? I've heard a lot about the Hoffman & Kunze book. I found the Golan book by searching randomly.
 
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  • #2
Be open minded. Trying to avoid all matricies can be as bad as those that try to avoid all proofs.

Linear Algebra by Kenneth M Hoffman and Ray Kunze
This is the only one on your list I am familar with. It is on all those lists of books that have Rudin and Ahfors on them. Like many other books on such lists I think this one is overrated. You can learn good stuff from it for sure, but it is dry, not that clear, covers only the minimum, and not all that general. Really expensive.
Finite-Dimensional Vector Spaces by P.R. Halmos
If you want a book that covers minimal material well and has stood the test of time this is the one. As the title implies this limits itself mostly to Finite-Dimensional Vector Spaces.
Linear Algebra Done Right by Sheldon Axler
This book is very basic and short. It is well written and avoids determinants. Limits itself mostly to Finite-Dimensional Vector Spaces.
Linear Algebra by Georgi E. Shilov
The best goodness:price book I know. Uses determinants often. Is more general and covers more material than Axler.
Advanced Linear Algebra (Graduate Texts in Mathematics) by Steven Roman
One of few basic books that covers modules. Nice topics like convexity, affine geometry, tensor products, and umbral calculus. Logically complete, but covers basic material rapidly. Many errors in 2nt edition 3rd out now
http://www.romanpress.com/MBOOKS/MathAdvLA.htm
Introduction to Linear Algebra (Undergraduate Texts in Mathematics) by Serge Lang
Nice is you like Langs style. This one can probably be skipped, but the sequel does not repeat its whole contents so both are needed for completeness.
Linear Algebra (Undergraduate Texts in Mathematics) by Serge Lang
Matrix Analysis by Roger A. Horn and Charles R. Johnson
Mabe abit more applied than you would like, but full of good stuff.
 
  • #3
Linear Algebra by Curtis...I think it's not that great
The one by friedberg I liked.
 
  • #4
I was in exactly the same situation as you and the book that satisfied me the most was

Linear Algebra - Peter Lax.

The author states in the Preface that this book was written for starting graduate students who needed to re-start Linear Algebra with a more rigorous approach than the one of most undergraduate courses. The book is concise, well organized and short. It is clear that Lax wrote it having in mind a reader already used to rigorous Mathematics.
 
  • #5
I like lurflurf's list (I especially agree about shilov) and wish to add two freebies, the book by sharipov on his website and my notes for math 4050, and math 8000, and math 844 on my website. I also have a 4th one there: revised linear algebra notes in 15 pages, but almost no one seems to have tried to read it.
 
  • #6
A lot of people say that Shilov is hard to read, but if you're a grad student you should be fine. I bought a copy of the book for about $12 on Amazon. If you want me to post up the table of contents, just let me know!
 
  • #7
Thanks guys! I'll browse through these books and see which one will work out for me.
 
  • #8
My geocoities.com/r-sharipov site is now off. Use the following sites instead:
http://ruslan-sharipov.ucoz.com"
http://freetextbooks.narod.ru"
 
Last edited by a moderator:

FAQ: What are the best linear algebra textbooks for self-study?

1. What is Linear Algebra?

Linear Algebra is a branch of mathematics that deals with systems of linear equations and their representations in vector spaces. It involves the study of linear transformations and their properties, as well as the manipulation and analysis of matrices and their operations.

2. Why is Linear Algebra important?

Linear Algebra has numerous applications in fields such as engineering, physics, computer science, and economics. It provides a powerful framework for solving complex problems and understanding the relationships between different variables and systems.

3. What topics are typically covered in a Linear Algebra textbook?

A standard Linear Algebra textbook will cover topics such as vector spaces, matrix operations, determinants, eigenvalues and eigenvectors, linear transformations, and systems of linear equations. More advanced textbooks may also cover topics like diagonalization, inner products, and applications of linear algebra.

4. How can I choose the right Linear Algebra textbook?

When choosing a Linear Algebra textbook, it is important to consider your level of knowledge and the specific topics you need to study. Look for textbooks that have clear explanations, examples, and practice problems that align with your learning goals. It can also be helpful to read reviews and ask for recommendations from professors or peers.

5. Are there any online resources that can supplement a Linear Algebra textbook?

Yes, there are many online resources available, such as video lectures, interactive tutorials, and practice problems, that can supplement a Linear Algebra textbook. Some popular platforms include Khan Academy, Coursera, and MIT OpenCourseWare. It is always beneficial to have a variety of resources to aid in your understanding of the material.

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