Alphabeta Math
DefinitionDefinition: AI-adaptedProof: Not applicablePipeline-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-14
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.

Shape operator

Definition

Assume ACω. For a normal field νΓ(νM) along an embedded Riemannian submanifold and a tangent field XΓ(TM), define the shape operator in the normal direction ν by

SνX:=(Xν).

The ambient derivative of a normal field along M is well defined by the local calculation recorded in Normal connection, and the tangent projection is the smooth projection of Tangential and normal projections along a Riemannian submanifold. The minus sign is part of the convention.

The value at p depends only on Xp and νp. Function-linearity in the direction gives Sν(fX)=fSνX, while the section Leibniz rule gives

SfνX=(X(f)ν+fXν)=fSνX,

because X(f)ν is normal. Real linearity follows from the same connection laws. Consequently the assignment is a smooth fibrewise bilinear map

νM×MTMTM,(νp,Xp)SνpXp,

or equivalently a smooth bundle map νMEnd(TM). Its self-adjointness is proved in the next theorem and is not assumed here.

The hypothesis ACω is inherited exactly through the smooth normal-bundle and projection construction; the formula introduces no further choice. If M is empty, if TM has rank zero, or if νM has rank zero, the bilinear map is uniquely zero. Rank-one and boundary cases use the same formula, and degenerate metrics are outside the Riemannian hypothesis.

Depends on

Used by

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