Wize University Linear Algebra Textbook > Linear Transformations
Special Linear Transformations in
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Special Linear Transformations in
Rotation
We define rotation in to be the linear transformation that rotates vectors by an angle counter-clockwise.
The rotation matrix that induces this transformation is:
Example
What is the result of rotating the vector counter-clockwise by ?
Then we just need to multiply:
Reflection
About Line
First, we will look at the linear transformation that reflects vectors in across the line .
The reflection matrix that induces this transformation is:
About Line at Angle
We can also write this as a reflection in about the line set at an angle counter-clockwise from the positive -axis.
This linear transformation is induced by the matrix:
Composition of Rotations and Reflections
The composition of two reflections or two rotations is a rotation.
The composition of a reflection and a rotation is a reflection.
Projection
We define projection in to be the linear transformation that projects a vector onto the line set at an counter-clockwise from the positive -axis.
This linear transformation is induced by the matrix:

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Example: Special Linear Transformations
Suppose is a linear transformation that reflects a vector across the line , then rotates the resulting vector through an angle of counter-clockwise.
Find the matrix that induces .
The matrix inducing the reflection is given by:
The rotation matrix is given by:
Then the matrix inducing is the product of these matrices (the rightmost happens first):
Practice: Special Linear Transformations
A linear transformation is the result of the following transformations (in order):
- first reflects across the line at an angle below the positive -axis, then
- rotates vectors counter-clockwise.
Find the matrix that induces this transformation.
Practice: Special Linear Transformations
Find the matrix inducing the linear transformation that does the following:
- first, rotates vectors counter-clockwise by , then
- projects the result onto the line .