Civil Engineering Reference
In-Depth Information
5.4 Lemma.
The mapping
0
div :
RT
0
→
M
is surjective.
Proof.
After enlarging
by finitely many triangles if necessary, we may assume
that
is convex. Given
f
∈
M
0
, there is a
u
∈
H
2
()
∩
H
0
()
such that
u
=
f
. Set
q
:
=
grad
u
. By Gauss' integral formula we have
q
·
nds
=
div
qdx
=
fdx.
∂T
T
T
From (5.9a) we conclude that
T
div
ρ
qdx
=
∂T
(ρ
q)
·
nds
=
T
fdx.
Since
div
ρ
q
and
f
are constant in
T
, it follows that div
ρ
q
=
f
.
0
→
RT
0
in the construction above is
bounded. Therefore, recalling Fortin's criterion we see that the inf-sup condition
has been established simultaneously.
The error of the finite element solution will be derived from the approximation
error.
Finally we note that the mapping
M
5.5 Lemma.
Let
T
h
be a shape-regular triangulation of . Then
q
−
ρ
q
H(
div
,)
≤
ch
|
q
|
1
+
inf
v
h
∈
M
0
div
q
−
v
h
0
.
Proof.
We first consider the interpolation on a triangle. By the trace theorem the
functional
q
→
e
q
·
nds
,
e
⊂
∂T
, is continuous on
H
1
(T )
2
. Moreover, we have
ρ
T
q
=
q
for
q
∈
P
2
2
0
0
since
P
⊂
RT
0
. Therefore, the Bramble-Hilbert lemma and
a scaling argument yield
q
−
ρ
q
0
≤
ch
|
q
|
1
.
The bound for div
(q
−
ρ
q)
follows from the minimal property 5.3, and the proof
is complete.
Now the error estimate of the finite element solution of (5.1)
σ
−
σ
h
H(
div
,)
+
u
−
u
h
0
≤
c(h
|
σ
|
1
+
h
u
1
+
(
5
.
13
)
0
f
−
f
h
0
)
inf
f
h
∈
M
is a direct consequence of Theorem 4.5.
Moreover, there is a comparison with the standard finite element approxima-
tion.
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