But before I meet her, I would ask two questionshave a question to my confusion for which I might find a solution here: Does anyone know some real world models which indeed use restricted test functions like first order linear differential restrictions as described above?
- Does anyone know some real world models which indeed use restricted test functions like first order linear differential restrictions as described above?
EDIT: Thanks for the comments! Ok, let me explain more what I have researched. Let us consider for instance the following equations: Find a solution $u\in M$ \begin{equation} \int_\Omega u:v=\int_\Omega f:v \end{equation} for all $v\in M$ and a given $f\in L_2$, where $M$ is defined by $M:=\{v\in L_2:\nabla\cdot v=0\}$, and the divergence is understood as distribution. The existence and uniqueness of solution is guaranteed by Lax-Milgram. Now the question is, can $u$ be as regular as $f$ if $f$ is for instance in $H^1_{loc}$? Since the test functions do not include all smooth functions with compact support, we can not say that $u=f$ almost everywhere. But in fact, one can still prove $u$ is in $H^1_{loc}$ if $f$ is in $H^1_{loc}$. The suggestion from my adviser was to use Piola transformation, but I found another approach which is easier to handle this problem and can be used for distribution like $\nabla\times v=0$ or $\nabla v=0$. Using my approach one can even derive a criterium for the general distributional restrction \begin{equation} (\sum_{ij}a_{ijk}\partial_i v_j)_k=0, \end{equation}