Biomedical Engineering Reference
In-Depth Information
with
r
t
u
N
D 0; v
N
D ..
u
r
/
N
/
j
;
N
D .d
N
/
j
;
(2.173)
u
N
.0;:/ D
u
0
;.0;:/
N
D
0
;v
N
.0;:/ D v
0
:
Here
u
N
, v
N
,and V
N
are the piecewise linear functions defined in (
2.162
),
t
is
the shift in time by t to the left, defined in (
2.151
),
t
N
is the transformed
gradient via the ALE mapping A
t
N
,definedin(
2.110
), and v
N
,
u
N
, v
N
,
N
, d
N
,
and V
N
are defined in (
2.148
).
Using the convergence results obtained for the approximate solutions in
Sect.
2.6.6
, and the convergence results just obtained for the test functions
q
N
,
we can pass to the limit directly in all the terms except in the term that contains
@
t
u
N
. To deal with this term we notice that, since
q
N
are smooth on sub-intervals
.jt;.j C 1/t/, we can use integration by parts on these sub-intervals to obtain:
Z
T
r
Z
.1 C
t
N
/@
t
u
N
q
N
0
F
Z
.j
C
1/t
Z
N
1
X
.1 C
j
N
/@
t
u
N
q
N
D
jt
F
j
D
0
Z
.j
C
1/t
Z
N
1
X
.1 C
t
N
/
u
N
@
t
q
N
D
jt
F
j
D
0
Z
C
j
/
u
j
C
1
N
.1 C
j
C
1
j
C
1
C
q
N
..j C 1/t/
F
Z
.1 C
j
/
u
j
N
q
N
.jtC/
:
(2.174)
F
Here, we have denoted by
q
N
..j C 1/t/ and
q
N
.jtC/ the limits from the left
and right, respectively, of
q
N
at the appropriate points.
The integral involving @
t
q
N
can be simplified by recalling that
q
N
D
q
ı A
N
,
where
N
are constant on each sub-interval .jt;.j C 1/t/. Thus, by the chain
rule, we see that @
t
q
N
D @
t
q
on .jt;.j C 1/t/. After summing over all j D
0;:::;N 1 we obtain
Z
.j
C
1/t
Z
Z
T
Z
N
1
X
.1 C
t
N
/
u
N
@
t
q
N
D
.1 C
t
N
/
u
N
@
t
q
:
jt
F
0
F
j
D
0
To deal with the last two terms in (
2.174
) we calculate
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