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.
Geodesic variation
Definition
Let , let , and let be a smooth map, smooth up to the two time endpoints. It is a geodesic variation when for every the longitudinal curve is an affinely parametrized geodesic; equivalently, The central geodesic is , and its variation field is This is the variation-field construction in Smooth variation and variation field of a curve, with the additional condition that every longitudinal curve is geodesic. No fixed-endpoint condition is imposed: and may be nonzero. Constant geodesics are allowed, including on zero-dimensional manifolds; dimension one is covered by the same definition. If is empty, there is no such map on the nonempty parameter interval, so the definition assigns no variation object.
Depends on
Used by
- Covariant derivatives commute up to curvature in a two parameter variation Lemma
- Killing fields restrict to Jacobi fields along geodesics Proposition
- Differential of the exponential map in terms of Jacobi fields Theorem
- Every Jacobi field is induced by a geodesic variation Theorem
- Variation field of a geodesic variation is a Jacobi field Theorem
Dependency tree · two levels
3 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
- John M. Lee, Riemannian Manifolds: An Introduction to Curvature (1997), Chapter 10 (standard reference, not scraped)
- Ved Datar, Lectures on Riemannian Geometry (2025), Lectures 21–24 (standard reference, not scraped)