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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