When two matricesand
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 matrixis 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 ofis
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 ofis 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 ofis
since
and
Also the inverse is unique since ifis any other inverse then
and
For the matrices A and B above