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.
Positive determinant does not imply positive definiteness
Statement refuted
Refuted claim: Every real symmetric matrix with positive determinant is positive definite.
Facts & Assumptions
Given: The real diagonal matrix .
Positive definiteness requires for every nonzero , and the signs of a diagonal form give its inertia (Positive and negative definiteness, the inertia , rank , and signature of a real symmetric bilinear or quadratic form).
The determinant is the signed Leibniz sum, which for a diagonal matrix reduces to the product of its diagonal entries (For , the determinant over a commutative ring by the Leibniz formula, and for a real matrix).
Counterexample
By [L2], .
But , so [L1] shows that is not positive definite. Its inertia is .
Thus a positive determinant alone does not imply positive definiteness.
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
13 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
- J. Kuan, Positive Definite Matrices (standard reference, not scraped)