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LemmaStatement: Literature-sourcedProof: AI-adaptedPipeline-generatedjudge pass (gpt-6-luna)verified 2026-10-22 (gpt-6.1-sol)
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Relative transversality for an embedded surface with fixed boundary

Statement

Assume the Axiom of Countable Choice. Let F be a compact smooth surface with boundary, let M be a smooth three-manifold without boundary, and let S⊂M be a closed embedded smooth surface. If i:F→M is a smooth embedding whose boundary restriction i∣∂F is transverse to S, then there is a smooth isotopy it:F→M through embeddings, fixed on a neighbourhood of ∂F, such that i1(F) is transverse to S.

Statement references

Facts & Assumptions

Given: ACω, a compact smooth surface with boundary F, a smooth three-manifold M, a closed embedded surface S⊂M, and an embedding i:F→M with i∣∂F⋔S.

[F1]

For a smooth map from a boundaryless manifold to a boundaryless target, there is a finite-dimensional smooth perturbation family through that map whose parameter map is a submersion at every source point. (A tubular target produces a submersive finite-dimensional perturbation family)

[F2]

If a smooth family G:X×B→M is transverse to S, then the parameters for which the slice Ga:X→M is not transverse to S form a null subset of B. (Parametric transversality)

[F3]

Every smooth manifold with boundary has a smooth collar. (Collar neighborhood theorem)

[F4]

Under ACω, every smooth isotopy of embeddings of a compact source with boundary into a boundaryless target extends to an ambient isotopy. (The isotopy extension theorem)

[F5]

A smooth map transverse to an embedded submanifold has the tangent-space spanning property in the transversality definition; invertible differentials give local diffeomorphisms in charts. (A smooth map transverse to an embedded submanifold, The Euclidean inverse function theorem)

[F6]

Under ACω, every smooth manifold, including one with boundary, admits a Riemannian metric compatible with its manifold topology. (Every smooth manifold admits a riemannian metric)

[A1]

ACω is the sequence-choice principle used by [F1], [F2], and [F4]. (The Axiom of Countable Choice (ACω))

Proof

Given: The stated objects and hypotheses.

1.1givenF3F5construct

At every x∈∂F, the inclusion Tx∂F⊂TxF and the boundary transversality hypothesis imply dix(TxF)+Ti(x)S=Ti(x)M. Thus i is transverse to S along ∂F. Transversality is open in the point of the source, and ∂F is compact, so there is a collar neighbourhood U of ∂F on which i is transverse to S.

2.1F3step 1.1construct

Choose a smooth collar coordinate s on U and a smooth function γ:F→[0,1] that vanishes on a smaller boundary collar and equals 1 outside U. Such a function is obtained by composing the collar coordinate with a smooth one-variable cutoff and extending by 1. Put τ=γ2. Then dτ=0 wherever τ=0, and the zero set of τ lies inside U.

3.1A1F1F5step 1.1step 2.1construct

Apply [F1] to the boundaryless interior F∘ and the map i∣F∘, obtaining a smooth family F:F∘×B→M with F(p,0)=i(p) and each parameter map a submersion. On F∘ define G(p,a)=F(p,τ(p)a), restricting B if necessary so τ(p)a∈B. Where τ>0, the parameter derivative of G is surjective. Where τ=0, dτ=0, so G(p,a)=i(p) and its source derivative is dip; [F5] and step 1.1 make it transverse to S. Since τ=0 on a boundary collar, setting G=i on ∂F extends G smoothly to F×B, fixed near the boundary. Thus the total family is transverse to S.

4.1F2step 1.1step 3.1choose

Apply [F2] to G∣F∘×B. Its good parameters are dense, because the bad set is null and every open parameter ball has positive measure. For each good parameter a, Ga is transverse on F∘; near ∂F it equals i, which is transverse by step 1.1. Hence Ga is transverse on all of F.

5.1A1F4F5F6step 4.1construct∎

Choose compatible Riemannian metrics on F and M using [F6]. At each x∈F, choose coordinate charts and a linear projection Px to a two-dimensional tangent plane so that D(Px∘i) at x is invertible. By [F5], shrink to a convex coordinate neighbourhood Ux on which this derivative stays within one quarter of the least singular value of its value at x. Every sufficiently C1-close map j then has Px∘j injective on Ux: integrate its derivative along the coordinate segment between two points to obtain a lower bound of one half that least singular value times their coordinate distance. Compactness gives a finite cover by such Ux and a Lebesgue number δ>0. For pairs at source distance at least δ, compactness and injectivity of i give a positive minimum target distance, which persists under sufficiently small C0 perturbations. The differential of i has a positive minimum norm on the compact unit tangent bundle, so immersion also persists under sufficiently small C1 perturbations. Thus all sufficiently C1-close maps are injective immersions; compactness of F and the Hausdorff property of M make them embeddings. Smoothness of G and compactness of F imply Gb→i in C1 as b→0, so there is a parameter ball about 0 for which every Gb is an embedding. By the density in step 4.1 choose a good a in that ball; then t↦Gta is an isotopy through embeddings fixed near ∂F. Apply [F4] to extend it to an ambient isotopy. Its endpoint carries i(F) to a surface transverse to S, as required.

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