Alphabeta Math
DefinitionDefinition: AI-adaptedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-04
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.

Riemannian metrics, symmetric cotangent-bundle connections, and covariant Hessians

Definition

Let M be a smooth manifold.

  • A Riemannian metric on M is a smooth bundle metric on the tangent bundle TM (Smooth bundle metrics).
  • A cotangent-bundle connection is an R-bilinear assignment (X,α)Xα from smooth vector fields X and smooth one-forms α to smooth one-forms such that hXα=hXα,X(hα)=X(h)α+hXα for every smooth function h.

In a smooth chart x=(x1,,xn), such a connection is determined by its Christoffel symbols Γijk through

xi(dxk)=jΓijkdxj,

or equivalently, for α=jαjdxj,

xiα=j(αjxikΓijkαk)dxj.

If g is a Riemannian metric with local coefficients gij:=g(xi,xj), write Γijk:=gkΓij. The connection is

  • symmetric when Γijk=Γjik in every chart;
  • metric-compatible with g when gjkxi=Γijk+Γikj in every chart.

For a smooth function f:MR, the tensor

2f:=(df)

is the covariant Hessian of f. In coordinates, if g=fx1,

(2f)ij=2gxixjkΓijkgxk.

Depends on

Used by

Dependency tree · two levels

5 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