Biomedical Engineering Reference
In-Depth Information
property that A applied to the sum ( r
þ
t ) follows a distributive law A
ð
r
þ
t
Þ
¼
A
r
þ
A
t and that multiplication by a scalar
a
follows the rule
A
r
Þ¼
A
ða
r
Þ
. These two properties may be combined into one, A
ða
r
þ b
t
Þ¼a
A
r
þb
are scalars. The composition of linear transformations is
again a linear transformation. Consider the linear transformation t
A
t where
a
and
b
t
(meaning u is transformed into t ) which is combined with the linear transformation
(A.39) r
¼
B
u , u
!
¼
A
t , t
!
r to transform u
!
r , thus r
¼
A
B
u , and if we let C
A
B ,
then r
u . The result of the composition of the two linear transformations,
r ¼ At and t ¼ Bu , is then a new linear transformation r ¼ Cu where the square
matrix C is given by the matrix product AB . To verify that it is, in fact, a matrix
multiplication, the composition of transformations is done again in the indicial
notation. The transformation t
¼
C
¼
B
u in the indicial notation,
t k ¼
B km u m ;
(A.42)
is substituted into r
¼
A
t in the indicial notation (A.38),
r i ¼
A ik B km u m ;
(A.43)
which may be rewritten as
r i ¼
C im u m ;
(A.44)
where C is defined by:
C im ¼
A ik B km :
(A.45)
Comparison of (A.45) with (A.20) shows that C is the matrix product of A and B ,
C
B . The calculation from (A.42) to (A.45) may be repeated using the Einstein
summation convention. The calculation will be similar to the one above with the
exception that the summation symbols will appear.
¼
A
Example A.5.1
Determine the result r ¼ Cu of the composition of the two linear transformations,
r
¼
A
t and t
¼
B
u , where A and B are given by
2
4
3
5 ;
2
4
3
5 :
123
456
789
10
11
12
A
¼
B
¼
13
14
15
16
17
18
Solution: The matrix product AB yields the square matrix C representing the
composed linear transformation,
2
4
3
5 :
84
90
96
A
B
¼
201
216
231
318
342
366
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