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
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 + k
1 ) w
k
1 )v .
2
u k + 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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