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
Also the inverse is unique since if
For the matrices A and B above
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