Module 2: Transformations
You've built the vocabulary. Now let's meet the whole family. There are a handful of named transformations that appear over and over — in graphics, physics, machine learning, and geometry.
Spins every point around the origin by angle θ. Lengths and angles are perfectly preserved. The determinant is always 1.
Uniform scaling zooms everything in or out. Non-uniform scaling stretches one axis more than another — turning circles into ellipses.
Tilts one axis while leaving the other in place. Think of slanting a stack of cards — each card slides a little more than the one below. Parallel lines stay parallel; right angles don't stay right.
Flips space across a line through the origin. The determinant is −1: area is preserved but orientation flips (clockwise becomes counter-clockwise).
Squashes everything onto a line. Every point is dropped perpendicularly onto that line. The determinant is 0 — information is permanently lost. You can't "un-project" back to where you came from.
Real-world transformations are usually combinations: a rotation followed by a non-uniform scale, or a shear followed by a reflection. Any combination of linear transformations is still linear — and can always be described by a single matrix.