#Good Books to learn Linear algebra?
16 messages · Page 1 of 1 (latest)
Linear algebra done right is always a nice place to start
Alternatively you can try linear algebra done wrong, there are other books although it depends on what level of LA you need
A lot of courses are designed with knowledge of LADR (linear algebra done wrong) in mind
Are u helping fr?
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Linear algebra done wrong what is that😭
@austere isle ive seen the linear algebra done wrong but it doesnt include the eigen vectors and eigen values , ive also seen the book linear algebra done right but its mentioned that its suitable for second exposure to it.
I think LADR is fine for a first time, and LADW does have Eigenvectors im pretty sure
It's a book by Sergei Treil whose name explicitly pokes fun at Axler's book. It's intended as sort of a "second pass" through the material, focusing on a vector space first approach rather than the systems of equations of matrix based approach used in lots of more applied classes.
I don't think LADR is a great book for eigenstuff. He pushes off determinants until way after he does eigenvalues and eigenvectors, which makes it a frankly terrible way to learn how to compute these things.
Even such book exists......
Umean like it first focus on vector and then on algebra?
Axler is otherwise a mostly pretty good book, and I'd otherwise include it in a list of LA textbook recommendations with how standard its material is. But not for eigenstuff, not for determinants.
I understand where he's coming from too because determinant methods aren't useful in functional analysis but spectral theory (basically eigenvalues) absolutely are, so I get the idea behind separating the concepts. But in practice and especially for a course focused on finite-dimensional spaces I think that it just makes things harder rather than easier for the students.
I suggested LADW