Alphabeta Math
DefinitionDefinition: AI-adaptedProof: Not applicablePipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-09
How statement and proof provenance work

The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.

  • Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
  • AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
  • AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.

These labels describe origin, not correctness: citations and verification chips remain separate evidence.

Convex sets and continuous real-hyperplane separation in a normed space

Definition

Let X be a normed space over K{R,C} with the metric and scalar convention of Real and complex scalar conventions for normed spaces. A subset CX is convex when x,yC,0t1(1t)x+tyC, where t is real, also when K=C. The empty set and every singleton are convex: the former has no pair of points to test, and (1t)x+tx=x for the latter. At t=0,1 the convex combination is one of its endpoints.

For a nonzero fX (the bounded scalar-linear dual of The dual space X^* of a normed space and its dual norm) put u=Ref, with u=f over R. A continuous real affine hyperplane is a set {x:u(x)=a} for aR. For subsets A,BX, this hyperplane gives:

  • weak separation if u(x)au(y) for all xA,yB;
  • open-side strict separation in the indicated orientation if u(x)<au(y) for all such x,y;
  • uniform strict separation if there is ε>0 with u(x)aε<a+εu(y) for all such x,y.

Only real numbers are ordered in these formulas. The last condition requires one positive margin that works for all pairs, rather than merely pointwise strict inequalities.

Here u is a nonzero bounded real-linear functional. Indeed, if f(w)0 in the complex case, put b=f(w)/f(w). Then u(bw)=Re(bf(w))=f(w)>0; over the real field, u=f0. Normalizing a nonzero vector v in the dual-norm definition gives f(v)fv, also true at zero. Hence u(x)u(y)fxy and f>0. If u(x)a, every y with yx<u(x)a/(2f) still has u(y)a. Thus the complement of the level set is open by The metric topology: a set is open when every one of its points has a ball around it inside the set; closed means open complement, so the level set is closed. If u(v)0, the point av/u(v) is in the level set, and the set is its translate of keru; every x decomposes as xu(x)v/u(v)+u(x)v/u(v) with the first term in keru. Thus it is an affine hyperplane of the underlying real space.

Source notes

Brezis §1.2 definitions, pp.4–5; Teschl Theorems 5.2–5.3, pp.138–139.

Depends on

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Sources