Matrix Multiplication
Matrix Multiplication by Scalar Constant
Matrices can be multiplied by scalar constants in a similar manner to multiplying
any number of variable by a scalar constant. A scalar constant refers to any number;
real or imaginary; positive or negative; whole or fractional, but not a variable.
When a matrix is multiplied by a scalar constant, the constant multiplies every
entry in the matrix equally, for example, given a matrix A
find xA where x is a scalar constant
solution:
As you can see in the above example, x multiplies throughout matrix A
affecting all entries in A
For example: Given matrix M find
solution:
Matrix Multiplication
Other than being multiplied by scalar constants, matrices can also be multiplied
by other matrices. However, matrix multiplication is not as straight forward as
regular multiplication, certain rules must be followed and certain conditions must
be met.
Properties of Matrix Multiplication

The first rule you should know is that matrix multiplication is NOT commutative,
i.e.For two matrices A and B
We shall see the reason for this is a little while.

Matrix multiplication is associative; for example, given 3 matrices A, B
and C, the following identity is always trueBut since we already said that matrix multiplication is not commutative, the following
is NOTtrueor any other permutation of the sort. The matrices must maintain their order.
 Matrix Multiplication is distributive across addition
Note, however, that the order still does matter, the above is not the same as
The above is not true, but the following is true
 Multiplying a scalar constant across matrix multiplication is commutative in the
following form;
There are a few more properties of matrix multiplication and we shall see these
in a little while.
Rule for Matrix Multiplication
Two matrices A and B can only be multiplied in the form AB
if and only if their sizes take on the following form:
Matrix A is of size n x m and matrix B is of size m x x
In other words, in matrix multiplication, the number of columns in the matrix on
the left must be equal to the number of rows in the matrix on the right.
For example; given that matrix A is a 3 x 3 matrix, for matrix multiplication
AB to be possible, matrix B must have size 3 x m where m can
be any number of columns. This, as we shall see in a moment, is because of the way
matrices are multiplied. This rule is the reason why matrix multiplication is not
commutative.
A neat way of checking if 2 matrices can be multiplied it to observe their sizes
side by side. For example, Given that you are asked to multiply matrices A
and B where A is of size n x m and B is of size p x q
For AB to be possible, place the sizes side by side as follows and
observe
if you see that m = p then you can conclude that AB is possible
and proceed with the multiplication. If that is not the case, then don’t bother
with it, just say its not possible. We shall see in a moment that the resulting
matrix from multiplying A and B has size n x q
For BA to be possible, place the sizes side by side as follows and
observe
similarly, if you see that q = n then you can conclude that BA
is possible and proceed with the multiplication. If that is not the case, then don’t
bother with it, just say its not possible. The resulting matrix in this case will
be of size p x m.
Algorithm for Matrix Multiplication
Matrix multiplication follows the same algorithm as multiplying vectors. Recall
that a vector can be a row or a column such as
where D is a column vector and E is a row vector.
Now that we have established this, you can also think of D and E as
matrices where D is a matrix of size 4 x 1 and E is a matrix of size
1 x 4. So if this is the case, then let us try to multiply D and E.
D is a 4 x 1 matrix while E is a 1 x 4 matrix, so by the rule we stated
above, the following products are possible:
 DE because the number of columns in D is equal to the number
of rows in E  ED because the number of columns in E is equal to the number
of rows in D
Now that we have seen that both DE and ED are possible,
lets move forward to actually carrying out the computation.
Always start off by arranging the matrices as required, do not mix up their order.
So then the question becomes what to do next!
Matrix multiplication is done by multiplying rows by columns. In this case we only
have one row but we have four columns.
The way we do is this is by multiplying all the rows by all the columns as such:
We add because each entry in the resulting matrix is the sum of multiplying the
entries in the row and column for that position. For the above example, the resulting
matrix is of size 1 x 1.
You should observe now that this is the same as the number of rows in E and
number of columns in D. Therefore, we can now say as a rule that when you
multiply two matrices, their product will have the same number of rows as the matrix
on the left and the same number of columns as the matrix on the right.
For example, if AB = C , where A has size n x m and
B has size p x q then C will have size n x q. This is always true
for any matrix multiplication.
Let us return to multiplying D and E. We have already seen ED,
so now lets take a look at DE
So now we have four rows and four columns. Taking a look at the sizes of D
and E
we can see that the resulting matrix should have size 4 x 4.
Each row multiplied each column and that gives one entry that corresponds to that
position. Having seen the results from DE and ED you
should see the reason why matrix multiplication is not commutative, as stated in
the first property: The result are not the same!
Lets now take a look at another example to further illustrate matrix multiplication:
Given matrices A and B where
and
Since A and B satisfy the rule for matrix multiplication, the product
AB can be found as follows.
Matrix AB is a 2 x 2 matrix.
From the above two examples, we can observe the following for the matrix multiplication
AB = C
 Matrix C has the same number of rows as matrix A and the same number
of columns as matrix B  The entries in matrix C are obtained as follows
where the above means that the entries in C in position denoted by (i,j)
are the result of multiplying the ith row of A by the jth column
of B
It takes a while to get used to the whole process of multiplying matrices but the
trick is to do as many examples as possible. Below are a few worked examples.
Matrix Multiplication Examples
Example 1
Find C given that AB = C and that
Step 1
The first step is to look at the sizes of A and B to check whether
they can be multiplied, and also to determine the size of C
from the above you can see that AB is possible and that size of C
Next we perform the actual multiplication
Step 3
Example 2
Find the A^{2} given that
Step 1
Since A is 2 x 2 matrix, AA is possible and the result will
also be a 2 x 2
Step 2
Step 3
Example 3
Find BA given that
.
Step 1
From the sizes of A and B, you can see that the resulting matrix AB
will be of size 3 x 3
Step 2
Example 4
Find ABC given that
Step 1
This particular question involves multiplying matrices more than once so we need
to break it up into two but we must keep the order of the matrices intact.
First we multiply A and B, then we multiply their product AB
by C to end up with ABC
Before we perform the computations, we need to compare their sizes to find out if
the multiplication is actually possible:
 First for A and B
thus we can see that its feasible and the result AB will have size 2 x 2
 Next we compare AB with C
from which we see that it is possible to compute ABC and the resulting matrix will
have a size 2 x 2
Step 2
Then we perform the computation, by first multiplying A and B then
multiplying the resulting matrix by C
Step 3
Step 4
Step 5