The following deals with mixed problem of Dirichelet kind for Poisson equation. To get started, we cast Poisson equation into first order equation.
Recall, original Poisson equation is
−u″(x)=f(x)
Let's set σ=−gradu. grad - aka Gradient is a vector field. In its full glory written as
∇u=(∂u∂x,∂u∂y,∂u∂z)
clearly gradu is a vector field. For our case, we simply set this to σ=−gradu.
Our original equation is −u″(x)=f(x). To express this in terms of σ, we use another operator - div.
Let's write down what div is.
The divergence of a vector field, say F=(Fx,Fy,Fz), is a scalar function that represents the net rate of outward flux per unit volume at each point in the field. It gives a measure of how much the vector field is spreading out or compressing at a given point. The divergence is calculated as follows:
divF=∂Fx∂x+∂Fx∂y+∂Fx∂z
Clear from above definition if we divgradu, we get
div gradu=∂2u∂x2+∂2u∂y2+∂2u∂z2
which in our original equation is same as u″.
Hence, the original equation becomes,
divgradu(x)=f(x)
This in turn is shortened as,
σ=−gradu,divσ=f
The pair (σ,u) can be characterized as critical point (unique) of the functional
I(σ,u)=∫Ω(12σ.σ−udivσ)dx+∫Ωfudx
over H(div:Ω)×L2(Ω) where H(div:Ω)=σ∈L2;divσ∈L2.
Equivalently one can solve weak problem
∫Ωτ.σdx−∫Ωudivτdx=0,τ∈H(div:Ω)
∫Ωdivτvdx=∫Ωfvdx
This fits into abstract framework if we define, V=H(div:Ω)×L(Ω).
B(σ,u;τ,v)=∫Ωσ.τdx−∫Ωudivτdx+∫Ωdivσvdx,F(τ,v)=∫Ωfvdx
In this case the bilinear form B is not coercive, and so the choice of subspaces an the analysis is not so simple
as for the standard finite element method for Poisson’s equation. Finite element discretizations based on such saddle point variational principles are called mixed finite element methods. Thus a mixed finite element for Poisson’s equation is obtained by choosing subspaces Σh⊂H(div;Ω) and Vh⊂L2(Ω) and seeking a critical point of I over Σh×Vh. The resulting Galerkin method has the form: Find σh∈Σh,uh∈Vh satisfying
∫Ωσh⋅τdx−∫Ωuhdivτdx=0,∀τ∈Σh,∫Ωdivσhvdx=∫Ωfvdx,∀v∈Vh.
Since the bilinear form is not coercive, it is not automatic that the linear system is nonsingular.
If f=0, then ∫Ωfvdx=0. This means ∫Ωdivσhvdx=0. This foces σh=0 as v is trail function. This, in turn, via ∫Ωσh⋅τdx−∫Ωuhdivτdx=0 forces ∫Ωuhdivτdx=0. Then uh=0.
Choosing τ=σh and v=uh and adding the discretized variational equations, it follows
immediately that when f=0,σh=0. However, uh need not vanish.
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