When two matrices and
and are multiplied to produce a third matrix
are multiplied to produce a third matrix the entry in the ith row and jth column, labelled
the entry in the ith row and jth column, labelled can be considered as a dot product.
can be considered as a dot product.
If the matrix is considered to be made up of row vectors
is considered to be made up of row vectors and the matrix
and the matrix is considered to be made up of column vectors
is considered to be made up of column vectors then the element
then the element in
in is the dot product of
is the dot product of with
with 
This view is helpful in understanding the following property of matrix multiplication.

Example

Then

The proof can be written in terms of the dot product.
If the ith row of is
is and the jth column of
and the jth column of is
is then the element in the ith row and jh column of
then the element in the ith row and jh column of is
is When the transpose of
When the transpose of is taken, this will be the element in the jth row and ith column.
is taken, this will be the element in the jth row and ith column.
When the transpose of is taken, the ith row will become the ith column, and when the transpose of
is taken, the ith row will become the ith column, and when the transpose of is taken, the jth column will become the jth row. The element in the jth row and ith column of
is taken, the jth column will become the jth row. The element in the jth row and ith column of will be the dot product of
will be the dot product of with
with as before hence
as before hence
Another important property of matrix multiplication concerns inverses:
The proof of this is quite easy.
An inverse of is
is since
since and
and
Also the inverse is unique since if is any other inverse then
is any other inverse then and
and
For the matrices A and B above
