Normalize the surface area of the spherical cap by writingTwo elementary descriptions of a spherical cap are useful. The spherical polar coordinates formula givesProjecting orthogonally onto the last coordinates givesIndeed, the upper hemisphere is the graph , whose surface area factor is on . This establishes the upper projection bound directly.
Set . The supplied ratio bound implies for . Consequently, at ,Also,On , the expression in parentheses is strictly decreasing; it starts positive and ends negative. Thus first increases and then decreases, so its minimum on this interval is at an endpoint. Since , both endpoint values are nonnegative. The spherical cap area upper bound follows:
Use the same normalized spherical cap area , constant and function as above. Put . The supplied ratio estimate givesThe middle inequality holds for every , since . Applying the upper projection bound for the spherical cap at yieldsso .
RecallAt the expression in parentheses is positive, because and . It increases up to and then decreases strictly to a negative value at . Hence it crosses zero exactly once on , from positive to negative. The minimum of is again an endpoint value; and . This proves the stronger range of the spherical cap area upper bound:
Let be the number of facets of the convex polytope . Its facet description can be writtenBecause , 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, givingThus 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 givesUsing 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 , soMaximality 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 .
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