Sketch (Brezis, Theorem 1.7, choice-free route): the distance to A is a 1-Lipschitz function, positive on B, so it has a positive minimum δ on the compact set B; the open δ/3-neighbourhoods of A and B are disjoint open convex sets, separated by the first geometric form, and a vector of norm below δ/3 with positive value turns the separation into a strict one. The half-space clause applies this to A and a point outside it.
We fatten and by a third of their distance into disjoint open convex sets and separate those. Throughout, (Elementary Identities in a Vector Space (x)), gives (Elementary Identities in a Vector Space (i), Elementary Identities in a Vector Space (viii)), and (Norms and Real Normed Spaces (iv), and Norms and Real Normed Spaces (iii) with via Elementary Identities in a Vector Space (iv)).
Distance to . For the set is nonempty and bounded below by (Norms and Real Normed Spaces (i)), so
exists by The Real Numbers, with the Natural Numbers, Integers and Rationals Identified with Subsets of the Reals, and Completeness (viii); this defines a function . For and we have , an infimum being a lower bound (Bounds, Least and Greatest Elements, Suprema and Infima for a Partial Order (iv)), and (Norms and Real Normed Spaces (iv)). So is a lower bound of , and by Bounds, Least and Greatest Elements, Suprema and Infima for a Partial Order (iv). Exchanging and ,
is positive on . By Closed Subset of a Topological Space (i) and Metric Spaces: Balls, the Metric Topology, and the Real and Complex Numbers as Metric Spaces (iii), is open. Let . Then , so Open Subset of a Metric Space (i) gives with . Hence for every (Open Ball in a Metric Space (ii)), so is a lower bound and by Bounds, Least and Greatest Elements, Suprema and Infima for a Partial Order (iv).
The minimum distance. By the estimate above, the restriction of to is continuous on : given , take in Continuous Map Between Metric Spaces (i), values being compared in the distance . Since is nonempty and compact, Extreme Value Theorem on a Compact Subset of a Metric Space (i) gives with for every . Put
Open convex neighbourhoods. Let
Both are nonempty. Both are convex (Convex Subset of a Real Vector Space (i)): a convex combination of and is the same convex combination of and plus , and by Norms and Real Normed Spaces (iv) and Norms and Real Normed Spaces (iii). Both are open (Open Subset of a Metric Space (i)): if , the ball of radius about lies in , and likewise for . They are disjoint: if , then
the last step because an infimum is a lower bound (Bounds, Least and Greatest Elements, Suprema and Infima for a Partial Order (iv)), which is absurd.
Separation. By Separation of an Open Convex Set from a Disjoint Convex Set in a Separable Real Normed Space (i), applied to the open set and to , there are , not identically zero, and a real number with
A strict gap. Fix with , replaced by if necessary so that ; then . The vector satisfies and (Linear Functional on a Linear Subspace (ii), Norms and Real Normed Spaces (iii)); put . Taking and above and using Linear Functional on a Linear Subspace (i) and Linear Functional on a Linear Subspace (ii),
So and , which proves (i).
Half-spaces. Every lies in the right-hand side of (ii) by its definition. Conversely, let ; we find and with on and . If , the zero functional with will do. Otherwise, the set is nonempty and disjoint from ; it is convex (Convex Subset of a Real Vector Space (i)), since for by Vector Space over a Field (viii) and Vector Space over a Field (vi); and it is compact (Compact Topological Space and Compact Subset (ii), Compact Topological Space and Compact Subset (i)), since in any cover by open sets of the subspace some member contains and is by itself a finite subcover. By (i), applied to and , there are and real numbers and with for every and . So is not in the right-hand side.
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