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.
FALSE: strict convexity gives a positive-definite Hessian
Statement
False claim: every twice differentiable strictly convex function has a positive-definite Hessian at every point.
Facts & Assumptions
Given: No assumptions beyond the false claim.
For every , the function given by is strictly convex, but its Hessian at the origin is the zero matrix (A strictly convex function can have a singular Hessian).
Refutation
The function in [L1] satisfies strict convexity globally.
Its Hessian at the origin is zero and hence not positive definite by [L1], directly refuting the claim.
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
6 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, §3.1.4 (standard reference, not scraped)