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 lower, upper, and emptiness bounds on a box
Definition
Fix an instance from Compact-box global minimization problems and a closed subbox . A certified box report may contain any combination of the following fields:
- A feasible witness , with and a verified upper bound .
- A lower bound satisfying for every . This pointwise condition is vacuous when ; when , it is equivalent to .
- An empty-box proof establishing .
- A non-finite or unavailable status, which makes no feasibility, lower-bound, or optimality claim.
A box is closed for a requested tolerance only when it has a lower bound and , where is the best currently verified feasible upper bound. Closing a box stops further subdivision but retains its lower bound in the global ledger. A report lacking a required field is not repaired by a numerical guess.
Depends on
Used by
- Finite-budget certified spatial branch and bound Algorithm
- Validated Lipschitz midpoint lower bounds on boxes Algorithm
- An invalid lower bound can prune the true global minimizer Counterexample
- A bounded mixed-integer gap certificate proves global epsilon-optimality Theorem
- A spatial branch-and-bound gap certificate proves global epsilon-optimality Theorem
- Finite-budget spatial branch and bound always returns a declared status Theorem
Dependency tree · two levels
10 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
- Arnold Neumaier, Complete Search in Continuous Global Optimization and Constraint Satisfaction, §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)