My question is about linear transformations, Is there a linear transformation that maps a $2\times2$ matrix to a vector in $R^3$, like:
$T:M_{2}[R]\to{R^3}$
Such that:
$T\Biggl($$\begin{bmatrix}1&0\\0&0\end{bmatrix}\Biggr)$ $ = T\Biggl($$\begin{bmatrix}0&1\\0&0\end{bmatrix}\Biggr)$ $ = \bigl(1,2,3\bigr)$ $?$
I spent alot of time thinking about a possible solution without success.
And in general, Is it possible to define any linear transformation $T$ that maps a $2\times2$ matrix to a vector in $R^3$ such that: $T:M_{2}[R]\to{R^3}$ $?$ Since for every linear transformation there is a matrix $A$ such that: $T(x) = Ax$, what the dimensions of that matrix would be?
Thanks for help!!
Given any vector spaces $V$ and $W$ you can define a linear transformation $T:V\rightarrow W$ simply by declaring $$ T(e_i)=w_i $$ where $e_i$ runs through a basis of $V$ and the $w_i$ are an arbitrary choice of vectors in $W$.
Therefore the answer to your first question is yes.
To answer your second question you need to remember how $T$ is coded into the matrix $A$.The columns of $A$ are the coordinates of the images of a basis of $V$ in term of a prefixed basis of $W$. Thus $A$ has $m=\dim V$ columns and $n=\dim W$ rows.