I'm a bit confused about the definition of elementary matrices which are used to represent elementary row operations on an extended coefficient matrix when doing the Gaussian elimination.
In my lecture at uni, the elementary matrix was defined with the Kronecker delta like so:
$$E_{ij} = (\delta_{ii'} \delta_{jj'})_{1 \leq i', j' \leq m}$$
And a given example was
$$ E_{12} = \begin{pmatrix}0 & 1 \\ 0 & 0\end{pmatrix}$$
Reading some supplementary literature cleared up how elementary matrices are constructed, as the book defined $E_{ij}$ to be a single-entry matrix and that elementary matrices are constructed by adding a single-entry matrix (or a multiple thereof) to the identity matrix.
For example the elementary matrix representing the row transformation of adding the jth row to he ith row of a matrix $A$ was defined as $$ Q_{ij} = I_m + E_{ij}$$ where it then could be applied to $A$ like so: $$A' = Q_{ij} \cdot A$$ where $A'$ would be the transformed matrix.
This definition makes intuitively way more sense to me than the definition of my university, where we would skip the definition of single-entry matrices and $Q_{ij}$ to just define the same transformation as $A' = (I_m + E_{ij}) \cdot A$.
- Am I correct to assume that the definition of elementary matrices of my Uni is just wrong?
- Even if my prof meant to say that $E_{ij}$ is a single-entry matrix; how would one calculate $E_{ij}$ using the two kronecker deltas? I know that the identity matrix can be defined through the kronecker delta like so: $I_m = (\delta_{ij})$ but I have a hard time picturing how a single-entry matrix is calculated through the two kronecker deltas.
Thanks in advance for your help.