BASICS (Ch2.1)
Projection onto Subspaces (Ch2.2)
Riesz Representation Theorem (Ch2.3 & Th25)
Symmetric variational problems (Ch2.4)
Inf-Sup stable variations (Ch2.6)
Coercive variational Problems (Ch2.5)
Vector Space V (Def1)
projection \( P^2=P \) (Def23)
Examples
Cauchy Schwarz inequality (Le9)
Examples
Approximation of inf-sup stable var problems (Ch2.6.1)
unique closest point \( u_0 \) in closed subspace \( S \) of HS \( V \) (Th21)
LF
BLF symmetric
weaker condition to ensure \( B \) is onto \( W^* \) (=surjective) (eq2.11)
Approximation by Galerkin (Ch2.5.1)
inf-sup condition = generalization of coercivity (eq2.8)
finite element subspace \( V_h \subset V \)
\( C^1(\Omega) \)
form
Banach contraction mapping theorem (Th29)
more general BLF
\( B(\cdot,\cdot):V\times W \rightarrow \mathbb{R}\)
(e.g. non-coercive)(P21)
BLF \(B\) fullfills inf-sup condition
Lax Milgram (Th30)
normed (Def2)
functional = linear form (LF) (Def5)
linear operator(Def15)
dense subspace (Def17)
bilinear form (BLF)(Def6)
Hilbert space (HS)(Def11)
orthogonal \( \left(Pu,v \right) = \left(u,Pv \right) \) (Def23)
Diffusion-reaction eq. (Ex26)
coercive BLF (Ex34)
with Riesz \( \Rightarrow \exists!u:A\left(u,v\right)=f\left(v\right)\Rightarrow \) weak form has unique solution
complex symmetric var. problem (Ex35)
quasi optimal error estimate (Th36)
\( ( C^1(\Omega), \left\Vert \cdot \right\Vert _{A})\) not complete
Diffusion-convection-reaction eq. (Ex27)
\( V=\overline{C^{1}(\Omega)}^{\left\Vert \cdot\right\Vert _{A}} \) is HS
Cea - error is quasi optimal (Th31)
solvability of finite dim eq does not follow from solvability of original problem --> extra inf-sup condition for discrete problem
error \( u-u_h \) is orth. to \( V_h \)
& weaker condition is fulfilled \( \Rightarrow \) problem has unique solution, which depends cont. on right side (Th33)
\( u_h \) is projection of \( u \) on \( V_h \)
\( \Rightarrow \) operator B has closed range (Le32)
if bounded \( \Rightarrow \) cont.
\(V\) is HS
unique solvability (inherited from original problem)
\( dim(V_h)<\infty \Rightarrow closed \Rightarrow\) use Th21
non-neg
\( A(u,u)=0 \Rightarrow u=0\)
LF cont
closure \( \overline{W}^{\left\Vert \cdot\right\Vert _{V}} \) (Def4)
\( \Rightarrow \) unique decomposition of \( u \in V \)
\( u=u_0 + u_1 \)
\( u_0\in S , u_1 \in S^\perp \)
\( \Rightarrow B\) is one-to-one (=injective)
BLF coercive aka elliptic & cont.
dual norm (Def5)
linear operator \(B:V \rightarrow W^* \) by \( \left\langle Bu,v \right\rangle_{W^*\times W}=B(u,v) \) as in Le28 (P22)
if BLF A is symmetric \( \Rightarrow \) factor in error-estimate is sqrt of Th31
closed subspace (Def12)
Notation: duality product \( \left\langle f,v\right\rangle_{V^* \times V} =f\left(v\right) \) (P18)
complete = Banach Space (BS) (Def3)
operator norm(Def15)
\( \Rightarrow \) define operators \( P_S, P_S^\perp \)
rewrite var problem as operator eq. (P19)
Find \(u\) that \( Au=f \) in \( V^*\)
\( \Rightarrow A(\cdot,\cdot) \) is IP and \( \left\Vert \cdot\right\Vert _{A} \) is norm
bounded (Def5)
bounded (Def15)
symmetric
S subspace of V \( \Rightarrow S^\perp = \left\{ v \in V: (v,w)=0 \forall w \in S\right\} \) is closed subspace of V
finite dim. subspace is closed subspace
linear (Th22)
dual space \( V^* \) (Def5)
\( \Rightarrow \) continous (Le16)
orthogonal (Th24)
compact (Def19)
\( \ker T:=\left\{ v\in V:Tv=0 \right\} \) is closed subspace of HS V, where T is cont. lin. operator (Le13)
extension principle for operators (Le18)
inner product \( (\cdot , \cdot)_V \) (IP) (Def7)
operator compact \( \Leftrightarrow \exists \) Eigensystem of the operator (Le20)
inner product space \( \left(V,(\cdot,\cdot)_{V}\right) \) (Def8)
\( \left\Vert v\right\Vert _{V}:=\sqrt{\left(v,v\right)_{V}} \) is induced norm on \( \left(V,\left(\cdot,\cdot\right)_{V}\right) \)
cont. BLF induces cont. lin. operator (Le28)
\(A:V \rightarrow V^* \)
via \( \left\langle Au,v\right\rangle=A\left(u,v\right) \)