If $H$ is a Hilbert space, we have the Hilbert Projection Theorem, which tells us that given a nonempty, closed, convex subset $K \subset H$, and a point $x \in H$, there is a unique point $y \in K$ which minimizes $\lVert x-y \rVert$.
In the $L^{p}(X,\mathcal{X},\mu)$ spaces, for $1 < p < \infty$, we get the same result, even though these are not Hilbert spaces for $p\neq 2$ (assuming that $(X,\mathcal{X})$ is sufficiently non-trivial). This can be proved using the Hanner inequalities.
I am interested in the case of $L^1$ or $L^\infty$. It is easy to construct examples where distance minimizers (in some closed, convex, nonempty subset) exist, but they are not unique. However, I am wondering whether or not existence can fail as well. I have thought about this a fair bit, and tried searching online, but I could not resolve this question.
Can anyone share any insight? Thanks.