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.
Totally geodesic submanifold
Definition
Assume . An embedded Riemannian submanifold is totally geodesic when its normal-valued second fundamental form vanishes identically:
By The second fundamental form is a symmetric normal-bundle-valued two-tensor, this is an intrinsic pointwise condition on the embedding and ambient metric; it is independent of extensions, frames, and normal orientations. The choice hypothesis is inherited exactly through the smooth projection used to define in Induced connection and second fundamental form, and the vanishing condition makes no additional choice.
The condition is vacuous for the empty submanifold and holds automatically when the tangent bundle or normal bundle has rank zero. It applies unchanged in rank one and at boundary points. Degenerate induced metrics are outside the Riemannian hypothesis. The next theorem proves the promised equivalence with ambient preservation of tangent derivatives and with the local geodesic condition; those are consequences, not part of this definition.
Depends on
Used by
- A great sphere is totally geodesic Example
- The catenoid has zero mean curvature but is not totally geodesic Example
- Zero mean curvature implies a submanifold is totally geodesic False statement
- Mean curvature and minimal submanifolds Remark
- Equivalent characterizations of a totally geodesic submanifold Theorem
Dependency tree · two levels
8 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 (standard reference, not scraped)