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Corner-adapted strong approximations preserve orthant sides
Statement
Let be a finite whole-star smooth embedding, and write for its first coordinate functions. Assume for each original simplex and each that is a union of faces and that, at every , the linear form on the tangent cone of is nonnegative with zero set precisely the tangent cone of . These are the adapted face/tangent conditions, not merely simplex rank conditions.
There is such that every strong -approximation preserving each of these coordinate planes on the specified zero subcomplexes maps all of into the same closed orthant and has exactly the same coordinate zero sets. It is an embedding for this choice of . Thus plane-preserving fitting and extension can be used in corner charts when the initial pieces satisfy these adapted face conditions.
Facts & Assumptions
Given: the finite whole-star smooth embedding , its coordinate functions , the zero sets (unions of faces), the adapted face/tangent hypotheses, and a strong -approximation that preserves each coordinate plane on the specified zero subcomplexes (Relative smooth triangulations, strong approximation and bundle fitting).
Whole-star smooth embeddings are stable under sufficiently small strong approximation: there is such that every strong -approximation of is again a whole-star embedding (Whole-star smooth embeddings are stable under strong piecewise approximation).
Segment integration bounds the change of a smooth function by the supremum of its directional derivative times the segment length, and every continuous positive function on a nonempty compact set has a positive minimum (If is differentiable with integrable then ; and a bounded derivative makes Lipschitz, A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value).
Orthant preservation means for every and equality of the zero sets; the coordinate planes are preserved in the sense that on the given zero subcomplexes. All these notions are those of Relative smooth triangulations, strong approximation and bundle fitting.
Proof
Structure of a zero set. Fix a coordinate and an original simplex, writing and . The zero set is a finite union of faces. Its maximal faces are pairwise disjoint: if two met at , the hypothesis would identify their union of tangent cones with the zero face of the convex cone under the supporting form . This zero face is convex and corresponds to a face of containing : the supporting form vanishes on the direction space of the minimal face containing , is nonnegative on every vertex direction , and its zero cone is generated by that direction space and precisely the zero-valued vertex directions. A relative interior direction of that face must belong to one of the finitely many zero-face cones, forcing that face to contain ; hence , contrary to maximality of two distinct intersecting faces. Thus, near any maximal zero face , the only zero face is itself. If , plane preservation already forces throughout ; assume otherwise that is nonempty and proper. For every and every vertex outside , the tangent hypothesis gives . Their finite minimum over the compact face is a number . This is a bound on those transverse vertex directions, not on all unit directions outside the zero cone.
Distance lower bound. Near a proper maximal zero face , write by barycentric projection, with , in the opposite face and the sum of coordinates outside . For sufficiently near , and is arbitrarily small, uniformly along . Step 1.1 gives by expressing as a convex combination of outside vertices. Uniform continuity of on follows directly by covering it with half-radius continuity balls, taking a finite subcover, and using the triangle inequality on each corresponding full-radius ball. It gives for , after choosing the neighbourhood small enough. Segment integration yields , since and . Take the finite minimum of these positive constants over the maximal zero faces. If the compact remainder outside their neighbourhoods is nonempty, the continuous positive ratio has a positive minimum there by [F2]; if it is empty, omit this bound. Consequently there is with on the whole simplex. No such bound is needed when is empty or the whole simplex.
Perturbing the coordinate functions. For choose a closest point when the zero set is nonempty and proper; it exists by compactness of and the segment lies in the convex simplex. Since on the zero subcomplex, segment integration of the piecewise smooth difference along , split into the finitely many refined pieces and added, gives , using the derivative bound of the strong approximation. Choose with from step 2.1. Then , so on with equality exactly on . If , plane preservation gives there. If is empty, then has a positive minimum on the compact simplex by [F2], and the value error with keeps positive on all of .
Conclusion. Choose below of [F1], every for a proper nonempty zero set, and every for an empty zero set, omitting nonexistent cases. Every strong -approximation preserving the zero subcomplexes then has with zero set exactly on every simplex, for every : all coordinate functions are nonnegative and the coordinate zero sets are exactly the prescribed ones, so maps into the same closed orthant with the same boundary structure. By [F1] is again a whole-star embedding. This supplies the side control that affine-plane preservation alone does not give, as the half-plane warning in the cited Munkres exercise requires.
Depends on
- Relative smooth triangulations, strong approximation and bundle fitting
- Whole-star smooth embeddings are stable under strong piecewise $C^1$ approximation
- If $f : [a,b] \to \mathbb{R}^m$ is differentiable with integrable $f'$ then $\int_a^b f' = f(b)-f(a)$; and a bounded derivative makes $f$ Lipschitz
- A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value
Used by
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Sources
- James R. Munkres, Elementary Differential Topology, revised edition (1966), Princeton University Press (standard reference, not scraped)