Matrices of Geometric Transformations (DP IB Applications & Interpretation (AI)): Revision Note

Matrices of Geometric Transformations

What is meant by a geometric transformation?

  • The following transformations can be represented (in 2D) using multiplication of a 2x2 matrix

    • rotations (about the origin)

    • reflections

    • enlargements

    • (horizontal) stretches parallel to the x-axis

    • (vertical) stretches parallel to the y-axis

  • The following transformations can be represented (in 2D) using addition of a 2x1 matrix

    • translations

What are the matrices for geometric transformations?

  • All of the following transformation matrices are given in the formula booklet

  • Rotation

    • Anticlockwise (or counter-clockwise) through angle θ about the origin

      • open parentheses table row cell cos theta end cell cell negative sin theta end cell row cell sin theta end cell cell cos theta end cell end table close parentheses

    • Clockwise through angle θ about the origin

      • open parentheses table row cell cos theta end cell cell sin theta end cell row cell negative sin theta end cell cell cos theta end cell end table close parentheses

    • In both cases

      • θ > 0

      • θ may be measured in degrees or radians

  • Reflection

    • In the line y equals left parenthesis tan theta right parenthesis x

      • open parentheses table row cell cos 2 theta end cell cell sin 2 theta end cell row cell sin 2 theta end cell cell negative cos 2 theta end cell end table close parentheses

    • θ may be measured in degrees or radians

    • for a reflection in the x-axis, θ = 0° (0 radians)

    • for a reflection in the y-axis, θ = 90° (π/2 radians)

  • Enlargement

    • Scale factor k, centre of enlargement at the origin (0, 0)

      • open parentheses table row k 0 row 0 k end table close parentheses

  • Horizontal stretch (or stretch parallel to the x-axis)

    • Scale factor k

      • open parentheses table row k 0 row 0 1 end table close parentheses

  • Vertical stretch (or stretch parallel to the y-axis)

    • Scale factor k

      • open parentheses table row 1 0 row 0 k end table close parentheses

  • Translation (vector)

    • p units in the (positive) x-direction

    • q units in the (positive) y direction

      • open parentheses table row p row q end table close parentheses

      • This is not given in the formula booklet

How do I solve problems involving geometric transformations?

  • The matrix equations involved in problems will be of the form

    • P’=AP or

    • P’=AP+b where b is a translation vector

      • (sometimes called an affine transformation)

    • where

      • P is the position vector of the object coordinates

      • P’ is the position vector of the image coordinates

      • A is the transformation matrix

      • b is a translation vector

  • Problems may ask you to

    • find the coordinates of point(s) on the image

    • find the coordinates of point(s) on the object using an inverse matrix (A-1)

    • deduce/identify a matrix corresponding to one of the common geometric transformations

      • E.g. Find the matrix of a rotation of 45° clockwise about the origin

Examiner Tips and Tricks

  • The formulae for the all of the transformation matrices can be found in the Topic 3: Geometry and Trigonometry section of the formula booklet

Worked Example

Triangle PQR has coordinates P(-1, 4), Q(5, 4) and R(2, -1).


The transformation T is a reflection in the line space y equals x square root of 3.

a) Find the matrix that represents a reflection in the line space y equals x square root of 3.

3-6-1-ib-hl-ai-only-we2a-soltn

b) Find the position matrix, P’, representing the coordinates of the images of points P, Q and R under the transformation T.

3-6-1-ib-hl-ai-only-we2b-soltn

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