A vector subspace is norming if some satisfies the displayed inequality. It retains enough continuous linear functionals to control the norm of every vector. Every such vector subspace is dense for the weak-star topology: otherwise a nonzero evaluation linear functional would annihilate its weak-star closure, contradicting the inequality. In the real case its symmetric unit ball makes the absolute-value and signed supremum versions equivalent.
A real linear functional on a vector subspace, dominated by a sublinear function , can be extended across one new vector by setting . The displayed lower and upper bounds are compatible because . A value between them preserves domination for both signs of . Chain unions and Zorn's lemma then yield the full Hahn-Banach theorem.