It's a shame that this isn't made more clear in most tutorials and classes. The idea of axis application order really does make things more confusing than is needed.
It's a shame that this isn't made more clear in most tutorials and classes. The idea of axis application order really does make things more confusing than is needed.
All you need to do is to pick a basis for your vector space, and you can start to represent linear transformations as matrices w.r.t. that basis. Even cooler is when you let go of specific basis choices, and start talking about properties of linear transformations that do not depend on a choice of basis. Things like a determinant, eigenvalues, etc.
For me, linear algebra didn't click until I read "Numerical Linear Algebra" by Trefethen & Bau. The first 4-5 sections have great explanations of matrix vector operations.
Other than that, the most popular linear algebra book that actually gets things right is "linear algebra done right" by Sheldon Axler.
Edit: ah, forgive me, didn't notice you said "first time". In that case the Axler book is a safe bet, just be diligent doing the exercises.