Vector Space of Linear Transformations Suppose we have linear transformations $T : V \to W$ for finite dimensional vector spaces $V$ and $W$.
We can certainly think of $\mathcal{L}(V,W)$ as a vector space of all those transformations (provided addition and multiplication by scalar of transformations are defined and satisfy certain axioms).     
While a vector space doesn't really need a basis and a dimension to exist, is there any meaning for a basis and dimension of this vector space $\mathcal{L}(V,W)$? Suppose $V$ is $n$-dimensional and $W$ is $m$-dimensional, what would be the dimension of $\mathcal{L}(V,W)$?
I was trying to make an analogy for the matrix representation of a linear transformation $T:V \to W$ as simply an isomorphism from $\mathcal{L}(V,W)$ to $F^{n\times m}$, the vector space of all $n \times m$ matrices over the field $F$.      
Any clue about those points ?
 A: In order:
Yes, there is meaning for basis and dimension for $L(V,W)$, and they have meaning for every other vector space for that matter.
The dimension is $\dim(V)*\dim(W)$.
Yes, you can show that $L(V,W)\cong M_{\dim(V),\dim(W)}(\Bbb F)$ in such a way that evaluation of these transformations corresponds to matrix multiplication.
A: *

*You are Given Two Vector Spaces V and W.
Now Any finite Dimensional Vector space Is Defined By its basis set B and Its field F.
2.Hence V=d(A,F) and W=d(B,F) where A is the Basis set Of V and B is that of W and F is the common field Of the vector Space.(d represents that it is defined by the following Sets)


*Hence We have Fixed A, B ,And F to define V(m)and W(n).


4. We know that Any Linear Transformation between Two fixed Basis of V and W respectively can be uniquely represented by A Matrix(mXn).
Also, ANY MATRIX IN F(mXn)  REPRESENTS AN UNIQUE LINEAR TRANSFORMATION FROM V->W AS THE BASES ARE FIXED.


*HENCE, the Required vector space is just the set of all F(mXn).
and its dimension is m*n. 


Beautiful isn't it!!!!!!
