3 is the set of functions which are linear on every element and discontinuous at the nodes (dimension ).
For these choices of
the mixed formulation leads to systems of linear equations with
,
and
unknowns, respectively. In the cases
and
, a constant C exists such that the inequality (1.163)holds for all
, and
. In the case of
, however, such a constant does not exist. This means that no matter how large C is, there exist some
and
and mesh
so that the inequality (1.163)is not satisfied. On the other hand, there will be
and
for which the inequality is satisfied and therefore the finite element solutions will converge to the underlying exact solution.
Nitsche's method 16 allows the treatment of essential boundary conditions as natural boundary conditions. This has certain advantages in two and three dimensions. An outline of the algorithmic aspects of the method is presented in the following. For additional details we refer to [51].
Consider the problem:
(1.164) 
with the boundary conditions
and
. However, at
we substitute the natural boundary condition:
(1.165) 
where
is a small positive number,
is called penalty parameter. The role of the penalty parameter becomes clearly visible if we consider the potential energy
(1.166) 
Letting
, the minimizer of the potential energy converges to the solution of the Dirichlet problem; however, the numerical problem becomes ill‐conditioned. Nitsche's method stabilizes the numerical problem making it possible to solve it for the full range of boundary conditions, including
.
On multiplying eq. (1.164)by v and integrating by parts we get
(1.167) 
We introduce the stability parameter γ and multiply eq. (1.165)by
to get
(1.168) 
Adding eq. (1.167)and eq. (1.168)we get
(1.169) 
and, multiplying eq. (1.165)by
, we have
(1.170) 
Subtracting eq. (1.170)from eq. (1.169)we obtain the generalized formulation:
(1.171) 
Letting
in eq. (1.171)we get the stabilized method proposed by Nitsche [67]:
(1.172) 
Letting
,
,
and
we construct the numerical problem using one element and the hierarchic shape functions defined in Section 1.3.1. By definition:
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