Skill: Model transformations using matrices

Explanation and Free Practice Resources

A 2×22\times2 matrix represents a linear transformation of the plane, mapping each point’s position vector (x,y)(x,y) to a new vector; its columns give the images of the coordinate directions. Applying these matrices and interpreting their products describes standard transformations such as rotations, reflections, stretches, and shears in sequence. Because these transformations fix the origin, translations, three-dimensional transformations, and abstract vector-space generalizations are not included.

Detailed Explanation: Model transformations using matrices

A 2×22\times2 matrix transforms a point’s position vector. Its first column is where (1,0)(1,0) goes, and its second column is where (0,1)(0,1) goes. To apply a sequence of transformations, multiply the matrices in reverse order: the transformation performed first goes on the right.

Example: Reflect the point P=(2,1)P=(2,1) across the xx-axis, then rotate it 90∘90^\circ anticlockwise about the origin.

The reflection matrix is

F=(100−1),F=\begin{pmatrix}1&0\\0&-1\end{pmatrix},

since it leaves the xx-coordinate unchanged and changes the sign of the yy-coordinate.

The 90∘90^\circ anticlockwise rotation matrix is

R=(0−110).R=\begin{pmatrix}0&-1\\1&0\end{pmatrix}.

Because the reflection happens first, the combined transformation is represented by RFRF:

RF=(0−110)(100−1)=(0110).RF = \begin{pmatrix}0&-1\\1&0\end{pmatrix} \begin{pmatrix}1&0\\0&-1\end{pmatrix} = \begin{pmatrix}0&1\\1&0\end{pmatrix}.

Now apply it to the position vector of PP:

(0110)(21)=(12).\begin{pmatrix}0&1\\1&0\end{pmatrix} \begin{pmatrix}2\\1\end{pmatrix} = \begin{pmatrix}1\\2\end{pmatrix}.

So the point ends at (1,2)(1,2). You can check the steps: reflection sends (2,1)(2,1) to (2,−1)(2,-1), and the rotation then sends (2,−1)(2,-1) to (1,2)(1,2).

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