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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