I am deeply confused by a curriculum which separates Matrix Theory from Linear Algebra. The description in the Wikipedia category just barely helps:
https://en.wikipedia.org/wiki/Category:Matrix_theory
> Matrix theory is a branch of mathematics which is focused on study of matrices. Initially, it was a sub-branch of linear algebra, but soon it grew to cover subjects related to graph theory, algebra, combinatorics and statistics as well.
The University of Missouri has a Matrix Theory course:
https://www.math.missouri.edu/class/matrix-theory
> Basic properties of matrices, determinants, vector spaces, linear transformations, eigenvalues, eigenvectors, and Jordan normal forms. Introduction to writing proofs.
... which specifies a textbook:
> Linear Algebra with Applications (7th edition) by Steven J. Leon
... which deepens my confusion. If you're taking that course, how is it not an introductory Linear Algebra course?
And this MathOverflow answer obfuscates again:
https://mathoverflow.net/questions/11669/what-is-the-differe...
> Let me elaborate a little on what Steve Huntsman is talking about. A matrix is just a list of numbers, and you're allowed to add and multiply matrices by combining those numbers in a certain way. When you talk about matrices, you're allowed to talk about things like the entry in the 3rd row and 4th column, and so forth. In this setting, matrices are useful for representing things like transition probabilities in a Markov chain, where each entry indicates the probability of transitioning from one state to another. You can do lots of interesting numerical things with matrices, and these interesting numerical things are very important because matrices show up a lot in engineering and the sciences.
> In linear algebra, however, you instead talk about linear transformations, which are not (I cannot emphasize this enough) a list of numbers, although sometimes it is convenient to use a particular matrix to write down a linear transformation. The difference between a linear transformation and a matrix is not easy to grasp the first time you see it, and most people would be fine with conflating the two points of view. However, when you're given a linear transformation, you're not allowed to ask for things like the entry in its 3rd row and 4th column because questions like these depend on a choice of basis. Instead, you're only allowed to ask for things that don't depend on the basis, such as the rank, the trace, the determinant, or the set of eigenvalues. This point of view may seem unnecessarily restrictive, but it is fundamental to a deeper understanding of pure mathematics.
If I try to parse charitably, I come away with the idea that Matrix Theory is about matrices as a data structure, usable for many things outside the scope of Linear Algebra, where they're all about using matrices to represent linear transformations. It's the difference between a column of numbers on a shopping bill and a column of numbers which represents a vector in a space with a specified basis. Gotcha.
However, this answer directly contradicts what the University of Missouri calls Matrix Theory, which is so Linear Algebra they even use a Linear Algebra textbook. It also... I don't know, trivializes the field of Matrix Theory. So you can manipulate matrices. So what? They show up a lot because they're used to represent specific things. Is the course going to barely introduce a lot of specific things and then focus on the matrix representation? What a waste!