Biomedical Engineering Reference
In-Depth Information
Introduction of the free index convention condenses this system of equations
vertically,
r
i
¼
A
ik
t
k
:
(A.38)
This result may also be represented in the matrix notation as a combination of n-
tuples,
r
and
t
, and a square matrix
A
,
r ¼ A t;
(A.39)
where the dot between
A
and
t
indicates that the summation is with respect to one
index of
A
and one index of
t
.
The Composition of Linear Transformations
The composition of linear transformations is again a linear transformation. Consider
the linear transformation
t
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
¼
C
u
. The result of the composition
of the two linear transformations,
r
¼
A
t
and
t
¼
B
u
, is then a new linear
transformation
r
¼
C
u
where the square matrix
C
is given by the matrix product
A
B
. 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
B
u
in the indicial notation,
t
k
¼
B
km
u
m
;
(A.42)
is substituted into
r ¼ At
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.
¼
A
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