Civil Engineering Reference
In-Depth Information
Fig. 56.
Schwarz alternating iteration with one-dimensional subspaces
V
and
W
in Euclidean 2-space. The iterates
u
1
,u
3
,u
5
,...
lie in
V
⊥
and
u
2
,u
4
,...
in
W
⊥
. The angle between
V
⊥
and
W
⊥
is the same as between
V
and
W
.
5.2 Convergence Theorem.
Assume that there is a constant γ<
1
such that for
the inner product in H
|
a(v, w)
|≤
γ
v
w
for v
∈
V, w
∈
W.
(
5
.
3
)
Then we have for the iteration with the Schwarz alternating method the error
reduction
−
≤
u
k
−
≥
u
k
+
1
u
γ
u
for k
1
.
(
5
.
4
)
Proof.
Because of the symmetry of the problem we may confine ourselves to even
k
. Since
u
k
is constructed by a minimization in the subspace
W
,wehave
a(u
k
−
u, w)
=
0
for
w
∈
W
(
5
.
5
)
We decompose
u
k
−
u
=
v
+
w
with
v
∈
V, w
∈
W
. From (5.5) it follows with
w
=
w
that
2
.
a(v, w)
=−
w
(
5
.
6
)
By the strengthened Cauchy inequality (5.3) we have
a(v, w)
=−
α
k
v
w
with some
α
k
≤
γ
. Without loss of generality let
α
k
=
0. It follows from (5.6)
v
=
α
−
1
2
2
2
2
2
that
w
and
u
k
−
u
=
v
+
w
=
v
−
2
w
+
w
=
k
(α
−
2
2
.
Since
u
k
+
1
is the result of an optimization in
V
, we obtain an upper estimate
from the simple test function
u
k
+
(α
k
−
−
1
)
w
k
1
)v
.
2
≤
u
k
+
(α
k
−
2
u
k
+
1
−
u
1
)v
=
α
k
v
+
w
2
−
α
k
)
w
2
=
α
k
u
k
−
u
2
.
=
(
1
Noting that
α
k
≤
γ
, the proof is complete.
The bound in (5.4) is sharp. This becomes obvious from an example with
one-dimensional spaces
V
and
W
depicted in Fig. 56 and also from Problem 5.8.
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