Alphabeta Math
AlgorithmAlgorithm: Literature-sourcedProof: Not applicablePipeline-generated
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.

Certified constraint-emptiness search with a finite query budget

Definition

Input a nonempty box D0 from Compact-box global minimization problems, a finite nonempty list of constraints gi(x)≤0, a positive integer query budget N, and a deterministic oracle returning a sound lower bound ℓi(B)≤inf⁡x∈Bgi(x) for every queried box. The oracle returns explicit unavailable or non-finite statuses when it cannot certify a finite bound. For a valid arithmetic-DAG oracle as in Outward interval and Lipschitz midpoint bounds are sound and consistent under refinement, choose one fixed exponent range large enough to avoid overflow and set the query precision to p0+d+r, where p0≥2, d is the split depth, and r≥0 is a singleton-refinement index.

Initialize a FIFO queue with (D0,0,0) and an empty ledger. Each oracle query consumes one unit, including a singleton precision refinement. Before a query, if the budget is exhausted, return the current queue and ledger with budget-exhausted. Query all gi, in index order, on the oldest queued box at precision p0+d+r; this one box query requests the vector of constraint bounds and consumes one budget unit. If any reported bound is unavailable or has a non-finite status, return inconclusive with the current queue and ledger, without an emptiness claim. Otherwise record the finite lower bounds and remove that entry from the queue. If some ℓi(B)>0, record the box as certified empty. If no lower bound is positive and B has positive width, bisect a longest coordinate at its exact midpoint, using the least coordinate index to break ties, and enqueue the two closed children, lower half first and upper half second, at depth d+1 with refinement index 0. If B is a singleton with no positive lower bound, enqueue the same point with split depth d and refinement index r+1, so its next query uses strictly higher precision. When the queue is empty, return infeasible with the complete ledger. This procedure has no termination claim without an additional separation condition; it returns infeasible only from a finite cover by certified-empty boxes.

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