Operations on Linear Transformations

Given that linear transformations basically are matrices, they behave very similarly.

Equality of Linear Transformations

Definition

Let be linear transformations. If for all , then we say that and are equal, and we write . Otherwise, we write (see negation).

Also, (by matrices equal theorem). (see if and only if, standard matrix).

Operations on Linear Transformations

Definition

Let be linear transformations and let $c \in \R%. We define by:

for every .

Also, we define by

for every .

Composition of Linear Transformations

Definition

Let and be linear transformations. The composition, if defined by:

for all .

Intuition

What happens if we try a transformation? Lets say we rotate a vector by 90 degrees and then shear a vector. That means we first apply the rotation, then the shear afterwards:

But we can multiply the matrices first instead, so

which will yield the same result.

As we can see, matrix multiplication is the same as the composition of linear transformations.

Important

Recall that matrix multiplication is NOT commutative, and recall the intuition that was presented. Remember to "read" the transformations from right to left.

Theorem

Let , and be linear transformations. Then is a linear transformation, and:

(see standard matrix)

Example

Let be a counterclockwise rotation about the origin by an angle of , and let be a projection onto the -axis. Find the standard matrices for and .

Since and are linear, we have:

$
\begin{align}
[L] & = \begin{bmatrix}
\cos(\pi/4) & -\sin(\pi/4) \
\sin(\pi/4) & \cos(\pi/4) \
\end{bmatrix} = \begin{bmatrix}
\sqrt{ 2 }/2 & -\sqrt{ 2 }/2 \
\sqrt{ 2 }/2 & \sqrt{ 2 }/2 \
\end{bmatrix} \

[M] & = \begin{bmatrix}
\proj_{\vec{e}{1}}\vec{e} & \proj_{\vec{e}{1}}\vec{e}
\end{bmatrix} = \begin{bmatrix}
1 & 0 \
0 & 0
\end{bmatrix}
\end{align}

\begin{align} \
[M \circ L] & = [M][L] = \begin{bmatrix}
\sqrt{ 2 }/2 & -\sqrt{ 2 }/2 \
0 & 0
\end{bmatrix} \

[L \circ M] & = [L][M] = \begin{bmatrix}
\sqrt{ 2 }/2 & 0 \
\sqrt{ 2 }/2 & 0
\end{bmatrix}
\end{align}
$