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PropositionStatement: AI-adaptedProof: AI-adaptedPipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-10
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Pullback of a riemannian metric is riemannian exactly for immersions

Statement

F∗h is Riemannian if and only if F is an immersion. In general it is positive semidefinite, with radical ker⁡dFp at p.

Facts & Assumptions

Given: A smooth map F:M→N and a Riemannian metric h.

[F1]

Pullback of a riemannian metric as a tensor: For smooth F:M→N and a Riemannian metric h on N, its pullback tensor is (F∗h)p(v,w)=hF(p)(dFpv,dFpw). This is def-pullback-of-a-covariant-tensor-field for the tensor in def-riemannian-metric-and-riemannian-manifold. It is always symmetric and positive semidefinite; the name does not assert positive definiteness. Smoothness and the precise immersion criterion are established next.

[F2]

Pullback of covariant tensors is smooth and functorial: If F:M→N is smooth and T is a smooth covariant tensor field on N, then F∗T is a smooth covariant tensor field on M. Moreover, (id⁡M)∗T=T,(G∘F)∗T=F∗(G∗T) for every composable smooth map G.

[F3]

Immersions, submersions, and constant-rank maps: Let F:Mm→Nn be a smooth map. - F is an immersion at p∈M when dFp is injective. - F is a submersion at p∈M when dFp is surjective. - F has constant rank r on A⊆M when rank⁡pF=r for every p∈A (def-rank-of-a-smooth-map-at-a-point). The map is an immersion or submersion without qualification when the corresponding pointwise condition holds at every point of M.

Proof

technique · direct
1.1F1F2F3given

Tensor pullback is smooth, and (F∗h)p(v,v)=hF(p)(dFpv,dFpv)≥0, with equality exactly when dFpv=0. If dFp is injective at every point, the value is positive for every nonzero v, so the pullback is Riemannian.

2.1F1F3step 1.1∎

Conversely, positive definiteness forces dFpv=0 to imply v=0, hence F is an immersion. A vector in ker⁡dFp pairs to zero with every vector; if it is in the radical, its pairing with itself is zero, so the preceding equality forces it into ker⁡dFp. This proves the radical assertion as well.

Source locator

Lee, Introduction to Smooth Manifolds, 2nd ed., Chapter 13, pp.328–332 and 341–342.

Depends on

Dependency tree · 2 levels

Sources