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Transformations are the foundation for understanding two of geometry's biggest ideas: congruence and similarity. When you move, flip, rotate, or resize a figure, you're not just manipulating shapes โ you're proving relationships between them. Every time an exam asks you to show two triangles are congruent or explain why figures are similar, transformations give you the tools to answer with precision. You'll see these concepts tested through coordinate proofs, mapping rules, and composition problems.
Transformations fall into two categories: those that preserve everything about a shape (rigid transformations) and those that change size while keeping proportions (dilations). This distinction determines whether you're dealing with congruent or similar figures. Don't just memorize the formulas โ know which transformation proves what and how the coordinate rules reflect the geometric action.
Rigid transformations โ also called isometries โ keep distance and angle measures intact. The original figure (the pre-image) and its image are always congruent, meaning identical in size and shape.
A translation is a sliding motion where every point moves the same distance in the same direction, with no turning or flipping.
A reflection creates a mirror image across a line of reflection. Each point and its image are equidistant from that line, on opposite sides.
A rotation is a turning motion around a fixed center point by a specified angle. By convention, positive angles rotate counterclockwise.
Compare: Reflection vs. Rotation โ both preserve size and shape, but reflection reverses orientation while rotation preserves it. If an exam shows two congruent figures and asks which transformation maps one to the other, check the vertex labeling order first.
Dilation is the only standard transformation that changes size. It produces similar figures โ same shape, proportional dimensions, but different measurements.
A dilation scales a figure from a fixed center of dilation by a scale factor .
Compare: Rigid transformations vs. Dilation โ rigid transformations prove congruence (), while dilation proves similarity (). On free-response questions asking you to "describe a sequence of transformations," use rigid moves for congruent figures and include a dilation only for similar figures.
When you perform multiple transformations in sequence, the result depends on both which transformations you use and what order you apply them.
Here's how to handle a composition problem like "translate , then reflect over the x-axis":
This coordinate notation lets you verify algebraically that distances and angles are preserved (or scaled, if a dilation is involved).
Compare: Single transformation vs. Composition โ a single rigid transformation always maps a figure to a congruent image, and so does any composition of rigid transformations. Two useful shortcuts: the composition of two reflections over parallel lines equals a translation (in the direction perpendicular to the lines, by twice the distance between them). Two reflections over intersecting lines equals a rotation about the intersection point by twice the angle between the lines.
Understanding the underlying properties helps you recognize transformations and apply them strategically on proofs and problems.
These definitions are central to modern geometry and show up frequently on proofs:
Compare: Line symmetry vs. Rotational symmetry โ a square has both (4 lines of symmetry and 90ยฐ rotational symmetry), while a parallelogram (that isn't a rectangle or rhombus) has only point symmetry (180ยฐ rotation). Recognizing symmetry type helps you quickly identify which transformations map a figure onto itself.
For students ready to connect geometry to linear algebra, matrices provide a powerful computational tool for transformations.
A 2ร2 matrix represents a transformation when multiplied by a coordinate column vector:
Common transformation matrices (all centered at the origin):
| Transformation | Matrix |
|---|---|
| 90ยฐ CCW rotation | |
| 180ยฐ rotation | |
| Reflection over x-axis | |
| Reflection over y-axis | |
| Dilation by |
To compose transformations using matrices, multiply the matrices in reverse order of the transformation sequence. If you apply first and then , compute .
| Concept | Best Examples |
|---|---|
| Preserves congruence | Translation, Reflection, Rotation |
| Creates similarity | Dilation |
| Changes orientation | Reflection |
| Preserves orientation | Translation, Rotation, Dilation |
| Uses scale factor | Dilation |
| Requires center point | Rotation, Dilation |
| Requires line | Reflection |
| Order-dependent | Composition of transformations |
Which two transformations both preserve congruence but differ in how they affect orientation? Explain the difference.
A figure is mapped using then . Is the final image congruent or similar to the original? Justify your answer.
Compare and contrast line symmetry and rotational symmetry. Give an example of a figure that has one but not the other.
If two triangles are similar but not congruent, what type(s) of transformations must be included in the sequence mapping one to the other?
The composition of two reflections over parallel lines produces what single transformation? What if the lines intersect?