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.
Outward-rounded interval enclosures for factorable expression DAGs on boxes
Definition
Input a box with arbitrary finite ordered real endpoints, a finite real expression DAG from Real intervals, complex rectangles and ball enclosures using addition, subtraction, multiplication, and division, a precision , and a dyadic format with fixed exponent bounds. Round each input endpoint outward at precision , replacing by ; if an endpoint rounding overflows, return overflow. Thus every interval passed to an interval operation has dyadic endpoints and contains the original box coordinate interval. The same rule applies to a singleton input, including a midpoint point-evaluation path. The DAG must define a real-valued function at every point of ; for each division node its denominator range on must exclude zero. Each constant is either an exact dyadic, enclosed by , or is accompanied by a precision-indexed certified interval containing it whose width tends to zero as . If any constant enclosure overflows or is unavailable, return that status with no finite bound claim. Traverse the finite DAG in topological order. Enclose each input by its outward-rounded interval, each constant by its certified interval at precision , and apply the corresponding outward-rounded operation from Outward-rounded interval, rectangle and ball operations at precision . Return the root enclosure , its lower and upper endpoints, and the exact midpoint of as a candidate point. If any operation returns overflow, split-domain, domain-error, entire, or inconclusive, return that status with no finite bound claim.
For a continuous objective on an unconstrained box, the midpoint is feasible and is a verified upper bound for its objective value. On a constrained box, the midpoint is only a candidate: a separate feasibility witness is required. To refine arithmetic error, callers increase along any sequence of shrinking boxes. Fixed exponent bounds must be chosen so no exact intermediate on the certified domain overflows; otherwise the procedure returns an explicit failure status.
Depends on
Used by
- Finite McCormick convex relaxation construction for factorable box problems Algorithm
- Validated Lipschitz midpoint lower bounds on boxes Algorithm
- A multimodal quartic receives an exact spatial branch-and-bound gap certificate Example
- Outward interval and Lipschitz midpoint bounds are sound and consistent under refinement Theorem
Dependency tree · two levels
16 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 and 20 (standard reference, not scraped)