If and a convex polytope satisfies , then it has at least facets. Its outward facet normals define spherical caps covering the unit sphere; the spherical cap area upper bound supplies the estimate.
Let be the number of facets of the convex polytope . Its facet description can be written
Because , each supporting closed half-space has . For any , follow the ray to its last point in . Its radius is at most one because . At least one facet is active there, giving
Thus the unit sphere is covered by the spherical caps centred at with angular radius . Since , this radius lies in and the spherical cap area upper bound applies. Subadditivity of surface area gives
Using for ,
The facet lower bound for ball approximations is exponential in the dimension.
Choose a maximal subset whose distinct points have Euclidean distance greater than one. The volumetric bound for Euclidean metric nets makes the construction finite: the open Euclidean balls of radius about the points of are disjoint and all lie in , so
Maximality means that is a metric net of radius one on the unit sphere. Thus every has some with . Since both are unit vectors,
Now intersect the corresponding closed half-spaces:
The Cauchy-Schwarz inequality shows that . Conversely, write any nonzero as and choose as above. Then , so . Hence , which also proves boundedness. This convex polytope has at most facets, since redundant inequalities can only reduce their number. It meets the required inclusions with .