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 from Compact-box global minimization problems, a finite nonempty list of constraints , a positive integer query budget , and a deterministic oracle returning a sound lower bound 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 , where , is the split depth, and is a singleton-refinement index.
Initialize a FIFO queue with 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 , in index order, on the oldest queued box at precision ; 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 , record the box as certified empty. If no lower bound is positive and 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 with refinement index . If is a singleton with no positive lower bound, enqueue the same point with split depth and refinement index , 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.
Depends on
Used by
Dependency tree · two levels
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Sources
- Arnold Neumaier, Complete Search in Continuous Global Optimization and Constraint Satisfaction, §§11–12 (standard reference, not scraped)
- Thomas Hübner, Akshay Gupte, and Steffen Rebennack, Spatial branch-and-bound for nonconvex separable piecewise linear optimization, §4 (standard reference, not scraped)