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How does a matrix represent a linear transformation of the plane, such as a rotation, reflection or scaling?

Topic 4.12 Linear Transformations and Matrices: represent a linear transformation of the plane by a matrix, and identify the matrices for scalings, reflections and rotations.

A focused answer to AP Precalculus Topic 4.12, covering how a 2x2 matrix represents a linear transformation, how the columns are the images of the basis vectors, and the standard matrices for scalings, reflections and rotations.

Generated by Claude Opus 4.89 min answer

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  1. What this topic is asking
  2. A matrix as a transformation
  3. Columns are the images of the basis vectors
  4. The standard transformation matrices
  5. Composing transformations
  6. Try this

What this topic is asking

The College Board (Topic 4.12) wants you to see a 2×22 \times 2 matrix as a linear transformation of the plane: a rule that sends each vector to a new vector by matrix multiplication. You should know that the matrix's columns are the images of the basis vectors, and recognize the standard matrices for scalings, reflections and rotations.

A matrix as a transformation

So "transform the plane" and "multiply by this matrix" are the same operation; the matrix is the transformation written as numbers.

Columns are the images of the basis vectors

This is the quickest way to construct a transformation matrix: decide the fate of the two basis vectors and read off the columns.

The standard transformation matrices

Composing transformations

A point worth stating once is that performing one transformation after another corresponds to multiplying their matrices, with the first transformation on the right. If you rotate then reflect, the combined matrix is (reflection)(rotation), because the rightmost matrix acts on the vector first. This is exactly why matrix multiplication is not commutative (Topic 4.10): reversing the order of two transformations generally gives a different result, just as putting on socks then shoes differs from shoes then socks. Reading a product of matrices right-to-left as a sequence of transformations connects the algebra of Topic 4.10 to the geometry here and prepares the function view of Topic 4.13.

Try this

Q1. What matrix reflects vectors over the yy-axis? [1 point]

  • Cue. [1001]\begin{bmatrix} -1 & 0 \\ 0 & 1 \end{bmatrix}, negating the xx-component.

Q2. What is the image of [10]\begin{bmatrix} 1 \\ 0 \end{bmatrix} under the matrix [2534]\begin{bmatrix} 2 & 5 \\ 3 & 4 \end{bmatrix}? [1 point]

  • Cue. The first column, [23]\begin{bmatrix} 2 \\ 3 \end{bmatrix}.

Exam-style practice questions

Practice questions written in the style of College Board exam questions on this dot point, with worked answer explainers. The year tag is the paper they imitate, not the source.

AP 2025 (style)1 marksSection I, Part A (multiple choice, no calculator). Which matrix scales every vector in the plane by a factor of 33? (A) [3003]\begin{bmatrix} 3 & 0 \\ 0 & 3 \end{bmatrix} (B) [3333]\begin{bmatrix} 3 & 3 \\ 3 & 3 \end{bmatrix} (C) [0330]\begin{bmatrix} 0 & 3 \\ 3 & 0 \end{bmatrix} (D) [1003]\begin{bmatrix} 1 & 0 \\ 0 & 3 \end{bmatrix}
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The correct answer is (A), [3003]\begin{bmatrix} 3 & 0 \\ 0 & 3 \end{bmatrix}.

A uniform scaling by kk is kI=[k00k]kI = \begin{bmatrix} k & 0 \\ 0 & k \end{bmatrix}. Multiplying any vector by it gives [3x3y]\begin{bmatrix} 3x \\ 3y \end{bmatrix}, scaling both components by 33. Choice (D) scales only the yy-component.

AP 2025 (style)4 marksSection II (free response, no calculator). (a) Write the matrix that reflects vectors over the xx-axis, and apply it to [25]\begin{bmatrix} 2 \\ 5 \end{bmatrix}. (b) Write the matrix that rotates vectors 9090^\circ counterclockwise, and apply it to [10]\begin{bmatrix} 1 \\ 0 \end{bmatrix}.
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A 4-point question on standard transformation matrices.

(a) Reflection (2 points): reflecting over the xx-axis negates the yy-component, [1001]\begin{bmatrix} 1 & 0 \\ 0 & -1 \end{bmatrix}. Applied: [1001][25]=[25]\begin{bmatrix} 1 & 0 \\ 0 & -1 \end{bmatrix}\begin{bmatrix} 2 \\ 5 \end{bmatrix} = \begin{bmatrix} 2 \\ -5 \end{bmatrix}.
(b) Rotation (2 points): a 9090^\circ counterclockwise rotation is [0110]\begin{bmatrix} 0 & -1 \\ 1 & 0 \end{bmatrix}. Applied: [0110][10]=[01]\begin{bmatrix} 0 & -1 \\ 1 & 0 \end{bmatrix}\begin{bmatrix} 1 \\ 0 \end{bmatrix} = \begin{bmatrix} 0 \\ 1 \end{bmatrix}, sending the right-pointing vector to the up-pointing one.

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