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 \( \left\langle Au,v\right\rangle=A\left(u,v\right) \)