Begin2.DVI

(Ben Green) #1

Example 10-3. Note that only in special cases is matrix multiplication com-


mutative. One can say in general AB =BA. Consider the matrix product of the 2 × 2

matrices given by A=

(
1 2
0 1

)

and B=

(
0 3
1 1

)

.One finds

AB =

(
1 2
0 1

)(
0 3
1 1

)
=

(
2 5
1 1

)

and

BA =

(
0 3
1 1

)(
1 2
0 1

)
=

(
0 3
1 3

)

which shows that in general matrix multiplication is not commutative.

In addition, if the matrix product of Aand Bproduces AB = [0], this does not

mean A= [0] or B= [0]. For example, if A=

(
1 1
− 1 − 1

)

and B=

(
−1 1
1 − 1

)

, then

one can show

AB =

(
1 1
− 1 − 1

)(
−1 1
1 − 1

)
=

(
0 0
0 0

)

Special Square Matrices


There are many special matrices which have interesting properties. The following

are some definitions of special square matrices which arise in applied mathematics,

engineering, physics and the sciences.

The identity matrix


The n×nidentity matrix can be expressed I= (δij)n×nwhere δij is the Kronecker

delta and defined

δij =

{

1 if i=j

0 if i=j

This matrix is characterized by having all 1’s along the main diagonal and zero’s

everywhere else. An example of a 3 × 3 identity matrix is given by

I=



1 0 0
0 1 0
0 0 1



The identity matrix has the property

AI =IA =A (10.6)

for all square matrices Awhere Aand Ihave the same dimensions.
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