A matrix represents a linear transformation of the plane, mapping each point’s position vector 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.
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A matrix transforms a point’s position vector. Its first column is where goes, and its second column is where 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 across the -axis, then rotate it anticlockwise about the origin.
The reflection matrix is
since it leaves the -coordinate unchanged and changes the sign of the -coordinate.
The anticlockwise rotation matrix is
Because the reflection happens first, the combined transformation is represented by :
Now apply it to the position vector of :
So the point ends at . You can check the steps: reflection sends to , and the rotation then sends to .
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