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ExampleConstruction: Literature-sourcedVerification: AI-adaptedPipeline-generatedprecheck passjudge pass (gpt-6-luna)
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.

A one-constraint scalar SDP and its dual

Example

Take n=m=1, A1=C=[1], and b1=1. The primal is maximize x subject to x≥0 and x≤1, so its feasible set is [0,1] and its attained optimum is 1. The dual is minimize y subject to y≥0 and y−1≥0, so its feasible set is [1,∞) and its attained optimum is 1. Every feasible pair obeys weak duality.

Facts & Assumptions

Given: Scalar positivity is the condition x≥0; the primal and dual signs are those of the finite SDP definition.

[F1]

Finite semidefinite primal-dual pair: the scalar primal constraint is x≤1 and the dual constraint is y−1≥0.

[F2]

Weak duality for the finite SDP pair: every primal-feasible/dual-feasible pair satisfies objectiveP≤objectiveD.

Verification

technique · direct
1.1givenF1algebra

The primal feasible interval is [0,1], so x≤1 for every feasible x, and x=1 is feasible; hence the attained primal maximum is 1. The dual constraints are y≥0 and y≥1, so every feasible y is at least 1, with equality feasible; hence the attained dual minimum is 1.

2.1givenF2step 1.1algebra∎

For arbitrary feasible x,y, step 1.1 gives x≤1≤y, so the objectives satisfy weak duality, in agreement with [F2]. The equality of the two attained values is verified for this example only and is not inferred in general.

Depends on

Used by

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Dependency tree · two levels

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Sources