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.
Validated Lipschitz midpoint lower bounds on boxes
Definition
Input a compact-box instance , a finite arithmetic expression DAG representing , a closed box , a nonnegative certified constant , a precision , a dyadic interval format with fixed exponent bounds, a certificate that the midpoint is in (automatic when ), and a validated inequality Let and . Apply Outward-rounded interval enclosures for factorable expression DAGs on boxes to the supplied DAG at the singleton with the supplied precision and format to obtain ; its endpoint-rounding rule encloses a possibly non-dyadic midpoint. Compute a directed-rounding upper bound and a downward-rounded lower endpoint . Return the pointwise lower-bound report and the feasible midpoint candidate . If the feasibility certificate or either interval or arithmetic calculation is unavailable or non-finite, return inconclusive without a feasible-witness claim.
Depends on
Used by
Dependency tree · two levels
8 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, §§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)