I have the problem of solving Poisson equation in 2D $$ \Delta u = f $$ Let's say for a moment I want to solve it on $\mathbb{R}^2$, for $f(x,y), x\in \mathbb{R}, y\in \mathbb{R}$.
I know however that my solution $u$ must have compact support or more precisely support within the support of $f$ to be physically relevant for my application. But for many of $f$'s the $u$ will just run away so I believe there must be some characterization of such $f$'s that their $u$'s do not run away.
I am interested e.g.in $u$'s with jump discontinuities such as rectangle $$ u_\text{rect}(x,y) = \begin{cases} 1, & \text{for }|x| < A, |y| <B,\\ 0. & \text{elsewhere}. \end{cases} $$ Or $u$'s, which describe thickness of the 3D ball projected to $x,y$ $$ u_\text{ball}(x,y) = \begin{cases} \sqrt{r^2 - y^2 - x^2}, &\text{for }x^2 + y^2 < r^2, \\ 0 & \text{elsewhere}. \end{cases} $$ These functions have the property that if I compute their Laplacian , even in the distribution sense, the support of $f = \Delta u$ is not much bigger then the support of $u$ itself. So I know there are such $f$'s, which I want.
Can I somehow approach the inverse problem and characterize such $f$'s so that the support of $u$ that solves $\Delta u = f$ will be always contained inside the support of $f$? So I need something as if the $u$ is nonzero at $x$, then $f(x)$ is nonzero or $x$ lies on a line segment between $x_1$ $x_2$ so that $f(x_1)$ and $f(x_2)$ are nonzero.