A.

Number of elements in


effective (those that have at least one variable vertex):

B.

Take

then

integrating by parts we have:


which implies:

or

C.
Checking the assumptions:
1. Symmetry:
a(u,v) = a(v,u)
2. Continuity:

3. V-ellipticity:
Poincare–Friedrichs Inequality implies that for

,
s = 1 for our domain.
4. Continuity of L(v)=(1,v)
If we apply Schwartz inequality we have:
|L(v)|=|(1,v)|≤||1||||v||=||v||
a(u,v) = a(v,u)
2. Continuity:

3. V-ellipticity:
Poincare–Friedrichs Inequality implies that for


s = 1 for our domain.
4. Continuity of L(v)=(1,v)
If we apply Schwartz inequality we have:
|L(v)|=|(1,v)|≤||1||||v||=||v||
E.
If we move to a finite dimensional space we will have to find the projection of the solution on this space

Instead of v we choose basis functions and get:

a(.,.) is a bilinear form, that allows us to take the sum out of it
,
for all j.
As both the left and the right side are integrals over the domain, we can divide them into parts, each corresponding to one element and compute the stiffness matrix and the load vector as the sum of these integrals in all finite elements. And since the functions have local support, there will be at most 6 triangles where one of the basis functions is non-zero. And each element will have at most 3 non zero basis functions.

Instead of v we choose basis functions and get:

a(.,.) is a bilinear form, that allows us to take the sum out of it

for all j.
As both the left and the right side are integrals over the domain, we can divide them into parts, each corresponding to one element and compute the stiffness matrix and the load vector as the sum of these integrals in all finite elements. And since the functions have local support, there will be at most 6 triangles where one of the basis functions is non-zero. And each element will have at most 3 non zero basis functions.
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