Matrices · Topic 3 of 3
3. Transformations of the Plane
Theory
A matrix can act as a linear transformation of the plane. To transform a point, write it as a column vector and pre-multiply by the matrix. The standard transformation matrices are:
- Anticlockwise rotation by about the origin:
- Reflection in the -axis: ; in the line :
- Scaling (dilatation) by factor :
The Golden Rule: to combine transformations, multiply their matrices — but the transformation applied first goes on the right. “Do then ” has combined matrix .
⚠️ Common Examiner Traps
- Wrong order for a composition: “A then B” is , not — the second transformation sits on the left.
- Rotation direction: the standard matrix is anticlockwise (positive ); a clockwise rotation uses .
- Row instead of column: the point must be a column vector so the multiplication is defined.
Worked examples
Example 1
Find the image of the point under an anticlockwise rotation of about the origin.
Step 1: With , and , so the rotation matrix is:
Step 2: Multiply the matrix by the point written as a column vector:
The image is .
Example 2
A point is first reflected in the -axis, then rotated anticlockwise about the origin. Find the single matrix representing this combined transformation, and describe it.
Step 1: Let (reflection, applied first) and (rotation, applied second). “Reflect then rotate” is .
Step 2: Multiply, with the rotation on the left:
Step 3: The result is the matrix for a reflection in the line .