When two matrices
and
are multiplied to produce a third matrix
the entry in the ith row and jth column, labelled
can be considered as a dot product.
If the matrix
is considered to be made up of row vectors
and the matrix
is considered to be made up of column vectors
then the element
in
is the dot product of
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
and the jth column of
is
then the element in the ith row and jh column of
is
When the transpose of
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 jth column will become the jth row. The element in the jth row and ith column of
will be the dot product of
with
as before hence![]()
Another important properties of matrix multiplication concerns inverses:![]()
The proof of this is quite easy.
An inverse of
is
since
and![]()
Also the inverse is unique since if
is any other inverse then
and![]()
For the matrices A and B above![]()
![]()