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Geometric transformations are the backbone of discrete geometry—they're how we formalize the intuitive idea that shapes can move, flip, stretch, or warp while maintaining certain properties. You're being tested on your ability to recognize what's preserved under each transformation type: distances, angles, parallelism, or just the basic structure of points and lines. This hierarchy of "what stays the same" is fundamental to understanding everything from congruence proofs to computer graphics algorithms.
The key insight here is that transformations form a nested hierarchy. Isometries preserve everything geometric (distance, angle, area), similarities relax distance but keep shape, affine transformations preserve only parallelism and ratios, and projective transformations preserve only the incidence of points and lines. Don't just memorize definitions—know which transformation class you need when a problem asks about preserving specific properties.
These transformations preserve all metric properties—distances, angles, and area remain unchanged. They're the "congruence transformations" because the output is always congruent to the input.
Compare: Rotation vs. Reflection—both preserve distance and angles, but rotation preserves orientation while reflection reverses it. If an exam asks which isometry has exactly one fixed point, that's rotation; infinitely many fixed points means reflection.
These transformations maintain the shape of figures (angles stay the same) but allow size to change. The output is always similar to the input.
Compare: Isometry vs. Similarity—isometries are similarities with scale factor . When a problem says "congruent," think isometry; when it says "similar," think similarity transformation.
These transformations preserve the linear structure of geometry—straight lines stay straight, parallel lines stay parallel—but distances and angles may change.
Compare: Shear vs. Scaling—both are affine but not similarities. Shear preserves area (determinant 1), while scaling changes area. If you see a parallelogram that was once a rectangle with the same area, that's shear.
These transformations work on extended geometric structures, allowing even parallel lines to meet and enabling powerful mappings between different geometric spaces.
Compare: Affine vs. Projective—affine transformations preserve parallelism; projective transformations don't. If an exam shows parallel lines meeting at a vanishing point, that's projective. Affine is a special case of projective where the "line at infinity" maps to itself.
These aren't individual transformations but rather categories that organize transformations by what they preserve.
Compare: Isometry vs. Affine—isometries preserve distance (and thus everything), while affine transformations only preserve parallelism and ratios. The gap between them is exactly the non-uniform scalings and shears.
| Concept | Best Examples |
|---|---|
| Distance-preserving (isometry) | Translation, Rotation, Reflection |
| Angle-preserving (conformal) | Isometries, Uniform Scaling, Möbius Transformation |
| Area-preserving | Isometries, Shear |
| Parallelism-preserving | All Affine Transformations (Translation, Rotation, Scaling, Shear) |
| Only incidence-preserving | Projective Transformation |
| Orientation-preserving | Translation, Rotation, Uniform Scaling |
| Orientation-reversing | Reflection, Reflection + Scaling |
| Circle-preserving | Möbius Transformation |
Which two transformations preserve distance but differ in whether they have exactly one fixed point or infinitely many?
A rectangle is transformed into a parallelogram with the same area but different angles. Which transformation class does this belong to, and why can't it be a similarity?
Compare and contrast affine and projective transformations: what property do affine transformations preserve that projective transformations don't?
If you compose two reflections across parallel lines, what type of transformation results? What if the lines intersect?
An FRQ asks you to classify a transformation that preserves angles but changes all distances by the same factor. What transformation class is this, and what specific transformations could produce it?