Alphabeta Math
CounterexampleConstruction: AI-adaptedVerification: AI-adaptedPipeline-generatedaudited 2026-09-22
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.

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Nearest-point maps to convex sets need not be linear

Statement refuted

The nearest-point map PC of a nonempty closed convex set C in a Hilbert space is linear.

Facts & Assumptions

[A1]

R with the pairing (s,t)↦st is a real inner-product space whose induced norm is the absolute value (Real and complex inner-product spaces and their induced length, A norm on a real vector space, the induced metric, and the dictionary with the metric axioms), and it is complete, hence a Hilbert space (Complete metric space: every Cauchy sequence converges in the space, Banach space, Hilbert space).

[A2]

A set C is convex when (1−t)u+tv∈C for all u,v∈C and 0≤t≤1, and the nearest point of a nonempty closed convex subset of a Hilbert space is the point minimising the distance (Convex sets and continuous real-hyperplane separation in a normed space, Hilbert space).

Counterexample

technique · direct

Given: The Hilbert space R of [A1] and the closed convex set C=[0,∞).

1.1A1A2

C is closed and convex, and is nonempty with 0∈C.

2.1step 1.1A1A2algebra

For t≥0 the point c=t lies in C with ∣t−c∣=0, so PC(t)=t; for t<0 and any c∈C one has ∣t−c∣=c−t≥−t=∣t−0∣ with equality exactly at c=0, so PC(t)=0.

3.1step 2.1algebra

Hence PC(t)=max⁡{t,0}; this map is not additive, since PC(1)+PC(−1)=1+0=1≠0=PC(0), and it is not homogeneous either, since PC(−1)=0≠−1=−PC(1).

4.1step 3.1∎

Therefore the nearest-point map of a nonempty closed convex set in a Hilbert space need not be linear, so the statement refuted is false.

Depends on

Used by

Nothing in the library uses this result yet.

Dependency tree · two levels

29 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.

Sources