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.
A strictly convex function has at most one global minimizer
Statement
A strictly convex function on an interval has at most one global minimizer. This does not assert that a minimizer exists.
Facts & Assumptions
Given: A strictly convex on an interval.
Strict convexity makes the convexity inequality strict for distinct points and weights strictly between zero and one (Convex, strictly convex, concave, strictly concave, and midpoint-convex real functions on an interval).
Proof
Suppose distinct points are both global minimizers.
Their midpoint lies in , and [L1] gives .
This value is below a global minimum, a contradiction; hence there are at most one such point.
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
2 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
- S. Boyd and L. Vandenberghe, Convex Optimization, §3.1 (standard reference, not scraped)