Trying to review for a quiz and I'm woefully underprepared.
Question is:
For each of the following linear transformations $L$ mapping $\mathbb{R}^3$ into $\mathbb{R}^2$, find a matrix $A$ such that $L(x) = Ax$ for every $x$ in $\mathbb{R}^3$.
a) $L((x_1, x_2, x_3)^T) = (x_1 + x_2, 0)^T$
I don't quite know how to approach this problem. It's probably very simple, but the change from $\mathbb{R}^3 \to \mathbb{R}^2$ or from $\mathbb{R}^2 \to \mathbb{R}^3$ confuses me, I'm not sure how to treat it.
I'm looking for a slow demonstration of steps rather than an actual answer. Calculations are nice, but I'd rather learn the steps and reasoning behind them so I can complete these types of questions on my own later.
Since $T: \mathbb{R}^3 \rightarrow \mathbb{R}^2$ you are supposed to get a $2*3$ matrix i.e. 2 rows and 3 columns, so that the matrix acts on vectors from $\mathbb{R}^3 $ and gives you vectors in $\mathbb{R}^2 $.
First see how the map $T$ acts on the basis elements of $\mathbb{R}^3 $, using this we construct the matrix $A$.
Basis for $\mathbb{R}^3 $ is $\{(1,0,0)^T,(0,1,0)^T,(0,0,1)^T\}$.
$T((1,0,0)^T)=(1,0)^T$
$T((0,1,0)^T)=(1,0)^T$
$T((0,0,1)^T)=(0,0)^T$
Now in the matrix $A$ place the result of $T$ acting on the basis elements, as the columns of $A$ i.e.
$$A=\begin{bmatrix} 1& 1 & 0 \\ 0 & 0 & 0 \end{bmatrix}$$