There's also the Terse Introduction to Linear Algebra, which is shorter and more rigorous than Linear Algebra Done Right. All of these are known texts which have generated some body of discussion.
An idiosyncrasy of Axler's book is that it introduces determinants only toward the end.
> An idiosyncrasy of Axler's book is that it introduces determinants only toward the end
I think the idea is that determinants do not necessarily belong in linear algebra proper, at least not with as prominent a position as they are usually awarded in textbooks. More specifically the idea is that determinants are being excessively and detrimentally used in linear algebra proofs. Axler actually published a paper called "Down With Determinants!" in 1995, for which he won the Lester R. Ford Award. Quote from the introduction:
> This paper focuses on showing that determinants should be banished from much of the theoretical part of linear algebra. Determinants are also useless in the computational part of linear algebra.
That seems like a personal crusade. Of course, determinants are computationally mostly irrelevant, and of course, they actually belong to multilinear algebra, but theoretically, determinants are quite nice and they are useful in many LA proofs, especially when it comes to the characteristic polynomial.
You are being dismissive of Axler (with the "personal crusade" comment) and disagree with his position, but it would be less disrespectful of Axler and more beneficial to the discussion (and interesting to me) to give at least some argumentation to match Axler's. That is, why is Axler's approach (in the short paper or the book) worse than the traditional approach?
From my skimming of that article, Axler's main complaint with determinants is that it pedagogically leaves students with the impression that eigenvalues are somehow a property of the determinant rather than being a fundamental property of a linear transformation.
I'm not sure I've ever met anyone who has that view; in my experience, more people leave linear algebra with a laundry list of matrix properties whose utility isn't obvious, with determinants and eigenvalues both on that list. This in general is a pedagogical issue with teaching linear algebra as plug-and-chug techniques without explaining why we're doing them.
Truthfully, I'm not convinced that introducing the determinant as "just" the product of eigenvalues is itself useful. One of the more useful properties of the determinant is that it is built up via row-reduction, and consequently, it can be computed using Gaussian elimination. I've seen some texts actually define the determinant via its row-reduction properties, and then build up to demonstrating the other formulas for it.
I'll also point out that there are two more uses that Axler doesn't acknowledge: the determinant tells you the volume of a parallelpiped, and it's a convenient way to remember the formula for a cross product.
It's not. For all I care he may write his book without introducing determinants or only introducing them at the very end. I'm all for different pedagogical approaches.
But he writes a paper called "down with determinants" and starts it with "if you think complex matrices have an eigenvalue because the characteristic polynomial has a root, then this is wrong". But it's not wrong, mathematically it's 100% correct! It's just his own personal opinion because he somehow doesn't like determinants.
Mathematics is all about different approaches and different tools, not about "the one true enlightened way", as he makes it out to be. This is why I'm calling it a "personal crusade". Had he just called his paper "a determinant-free approach to linear algebra" I would take no issue.
The degree to which classrooms and textbooks have converged onto Axler's pedagogical approach is the degree to which Axler's position is "personal" vs mainstream.
An idiosyncrasy of Axler's book is that it introduces determinants only toward the end.