Civil Engineering Reference
In-Depth Information
Suppose condition (iii) is satisfied. Then for given v V , we define a
functional g V 0
by w −→ (v, w) . Since B is an isomorphism, there exists
λ M with
b(w, λ) = (v, w)
for all w.
( 4 . 11 )
By the definition of the functional g ,wehave
g = v
, and (4.10) implies
v = g = B λ β λ
. Now substituting w = v in (4.11), we get
b(v, µ)
µ
b(v, λ)
λ
(v, v)
λ
sup
µ M
=
β v .
Thus B : V −→ M satisfies the three conditions of Theorem 3.6, and the
mapping is an isomorphism.
Suppose condition (ii) is satisfied, i.e., B : V −→ M is an isomorphism.
For given µ M , we determine the norm via duality:
g, µ
g
Bv,µ
Bv
µ =
=
sup
g M
sup
v V
b(v, µ)
Bv
b(v, µ)
β v
=
sup
v
sup
v
.
V
V
But then condition (i) is satisfied, and everything is proved.
Another condition which is equivalent to the inf-sup condition can be found
in Problem 4.16, where we also interpret the condition 4.2(ii) as a decomposition
property.
After these preparations, we are ready for the main theorem for saddle point
problems [Brezzi 1974]. The condition (ii) in the theorem is often referred to as the
Brezzi condition . The inf-sup condition is also called the Ladyzhenskaya-Babuska-
Brezzi condition (LBB-condition) since Ladyzhenskaya provided an inequality for
the divergence operator that is equivalent to the inf-sup condition for the Stokes
problem. Recall that as in (4.6), the kernel of B is denoted by V .
4.3 Theorem. (Brezzi's splitting theorem) For the saddle point problem (4.4), the
mapping (4.5) defines an isomorphism L : X
X ×
M if and only if the
×
M
−→
following two conditions are satisfied:
(i) The bilinear form a( · , · ) is V -elliptic, i.e.,
2
a(v, v) α v
for all v V,
where α> 0 , and V is as in (4.6).
(ii) The bilinear form b( · , · ) satisfies the inf-sup condition (4.8).
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