2 DGM for elliptic problems
2 DGM for elliptic problems
2 DGM for elliptic problems
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20 2 Elliptic <strong>problems</strong><br />
The scheme ( 2.62) A2.22c is called symmetric interior penalty Galerkin (SIPG)<br />
method. It was derived by Arnold ([Arn82]) Arnold and Wheeler ([Whe78]) Whe78 by adding<br />
penalty terms to the <strong>for</strong>m Bh s . This <strong>for</strong>mulation leads to a symmetric bilinear<br />
<strong>for</strong>m which is coercive if the penalty parameter σ is sufficiently large.<br />
Moreover, the Aubin-Nitsche trick can be used <strong>for</strong> obtaining an optimal error<br />
estimate in the L 2 (Ω)-norm.<br />
The method ( 2.63), A2.22d called nonsymmetric interior penalty Galerkin (NIPG)<br />
method, was proposed by Girault, Riviére and Wheeler in [RWG99]. RWG99 In this<br />
case the bilinear <strong>for</strong>m B n,σ<br />
h<br />
is nonsymmetric and does not allow to obtain<br />
optimal error estimates in the L 2 (Ω)-norm with the aid of the Aubin-Nitsche<br />
trick. However, numerical experiments show that the odd degrees of the polynomial<br />
approximation give the optimal order of convergence. On the other<br />
hand, a favorable property of NIPG method is the coercivity of B n,σ<br />
h<br />
(·, ·) <strong>for</strong><br />
any penalty parameter σ > 0.<br />
Finally, the method 2.64), A2.22e called incomplete interior penalty Galerkin<br />
(IIPG) method, was studied in [DSW04], Dawson2004 [Sun03], Sun-PhD [SW05]. Sun05 In this case the<br />
bilinear <strong>for</strong>m B i,σ<br />
h<br />
is nonsymmetric and does not allow to obtain an optimal<br />
error estimate in the L 2 (Ω)-norm. Moreover, the penalty parameter σ should<br />
be chosen sufficiently large in order to guarantee the coercivity of B i,σ<br />
h . The<br />
advantage of the IIPG method is the simplicity of the discrete diffusion operator.<br />
This is particularly advantageous in the case when the diffusion operator<br />
is nonlinear. (See, e.g. [Dol08].<br />
iipg07<br />
It would also be possible to define the scheme Bh i (u,v) = li h (v) ∀v ∈ S hp,<br />
where Bh i (u,v) = ai h (u,v) and li h (v) = F h i (v), but this method does not make<br />
sense, because it does not contain the Dirichlet boundary condition ( 2.2).<br />
A0.2a<br />
sec:2.4<br />
2.4 Properties of the bilinear <strong>for</strong>ms<br />
We are interested in the existence of the numerical solutions of method ( 2.60)<br />
A2.22a<br />
– ( 2.64) A2.22e and in a priori error estimates of the difference of numerical solution<br />
and the exact one. There<strong>for</strong>e, we define the following mesh-dependent norm<br />
|||u||| Th<br />
=<br />
(<br />
|u| 2 H 1 (Ω,T h ) + Jσ h(u,u)) 1/2<br />
, (2.68) en<br />
In what follows, if there is no danger of misunderstanding, we shall omit<br />
the subscript T h . This means that we shall simply write ||| · ||| = ||| · ||| Th<br />
.<br />
exer1 Exercise 2.10. Prove that ||| · ||| is a norm on the spaces H 1 (Ω, T h ) and S hp .<br />
Let Γ ∈ Fh I be an inner face and K(L)<br />
Γ<br />
and K (R)<br />
Γ<br />
the elements sharing Γ.<br />
There are several possibilities how to define the penalty weight σ. We can set<br />
σ| Γ =<br />
(<br />
max<br />
C W<br />
h K<br />
(L)<br />
Γ<br />
, h K<br />
(R)<br />
Γ<br />
), (2.69) A3.1