# Looking for a rigorous linear algebra book

I'm a mathematics undergrad student who finished his first university year succesfully. For this post, it should be interesting to note that I already took a course in group theory.

I also had a course in linear algebra where we treated the following topics:

1) Vector spaces; basis; span; linear dependency; direct sum

2) Linear transformations, matrices, rank

3) Linear varieties, system of linear equations

4) Determinants

5) Eigenvalues and eigenvectors, diagonalisation, triangalisation, cayley-hamilton,

6) Euclidean spaces: inner products, norm, hermitian transformations, orthogonal basis, Gramm-Schmidt, orthogonal transformations

7) Prehilbert spaces

8) Isometries

9) Bilinear forms and quadrics in $2$ and $3$ dimensions

Now, I want to revise these topics, but it would be too boring to reread these books again, so now I look for a book that has all these topics, but also some additional requirements:

• Focus on intuition (e.g. connections between linear algebra and geometry). This is a hard requirement for me, since there was no attention given to this in the course I took)

• Additional topics such as Jordan form of matrices, quotient vector spaces, ...

• Good exercises (preferred with solutions somewhere)

• The book must be rigorous

In the course I had, we mainly discussed finite-dimensional vector spaces, but I am also interested in a theory of infinite dimensional vector spaces.

Can someone hint me towards a good book that would suit me? If I have to add any information, please leave a comment and I will edit my post.

• I find that the more abstract you go, the more difficult "intuition" is, especially when you move away from finite dimensional vector spaces. Anyway, if you like, Linear Algebra Done Right by Sheldon Axler is a good start to the abstraction. Aug 22, 2017 at 20:28
• Check out Babai and Frankl [link] matthewkahle.org/download/file/fid/499 ... I would also suggest you add some motivation as to why you want to learn linear algebra (grad school aspirations, industry, etc) Aug 22, 2017 at 20:30
• Looking at field theory (abstract algebra, algebraic number theory) might be a good idea, as it uses a lot of groups and linear algebra in arbitrary fields. Another topic is functional analysis (linear operators in Banach and Hilbert spaces, distributions, ODE) which is very important in analysis and Fourier analysis. Aug 22, 2017 at 20:33