Let $C\subset \mathbb{R}^n$ be a closed, convex set. The support function of $C$ is the function $\delta^*(\cdot|C):\mathbb{R}^n\rightarrow \mathbb{R}$ given by $$\delta^*(y|C)=\max_{x\in C}\sum x_iy_i.$$ The support function is strictly subbaditive if $$\delta^*(y+z|C)<\delta^*(y|C)+\delta^*(z|C),$$ whenever $y$ and $z$ are not colinear.
Question: What conditions on $C$ are sufficient (and necessary, if possible) to obtain that $\delta^*(\cdot|C)$ is strictly subbaditive?
The necessary and sufficient condition is that $C$ should not have corners: that is, at every boundary point of $C$ there is a unique supporting hyperplane (i.e., the tangent plane). This is a smoothness condition on $C$.
If $C$ was also centrally symmetric, a standard fact about finite-dimensional normed spaces could be used: smoothness of a space is equivalent to strict convexity of its dual. The strict convexity of the dual is precisely the strict subadditivity of the support functions.
Sketch of proof without assuming symmetry. If $w$ is a boundary point with two supporting hyperplanes, let $u,v$ be their normal vectors exterior to $C$. Strict subadditivity fails for $y=w+u$ and $z=w+v$, because the maximum in $\delta^*$ is attained at $w$ for both $y,z$, as well as for their sum.
Converse is left as an exercise for the reader.
