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Whole-space support and the zero-boundary Sobolev closure
Statement
Assume AC. Let be a nonempty bounded open set with Lipschitz boundary.
- An class that vanishes almost everywhere outside restricts to , and every class has an zero extension.
- If and on , then .
- The zero extension of belongs to , with equal to the zero extension of ; both component norms are preserved. Also and its elements have zero curl.
All statements apply componentwise to vector fields where appropriate.
Facts & Assumptions
Given: AC, the nonempty bounded Lipschitz open set , the closure definitions Zero-boundary Sobolev space as a norm closure and Zero tangential trace H(curl) space, and weak derivatives.
Translation and mollification converge in , and mollification commutes with distributional differentiation, by in as , for , Every approximate identity converges to the identity in for , and Convolution with a mollifier is smooth, and derivatives pass under the integral sign. Apply this to each derivative for convergence.
An function is absolutely continuous on almost every interior coordinate line, with its weak derivative as the line derivative, by The ACL characterisation of .
Test function cutoffs and euclidean localization supplies the real Euclidean cutoffs and partitions used in step 1.1. On the compact boundary only finitely many partition supports occur. Explicit compactly supported smooth cutoffs supplies fixed smooth one-dimensional cutoffs and their scaled derivative bounds. Normalize a nonnegative compact cutoff supported in , equal to one on a smaller ball, to unit mass; positivity and finiteness of that mass follow from Euclidean balls have positive finite Lebesgue measure. The resulting family is The mollifier family generated by a unit-mass smooth bump and is an approximate identity by A unit-mass smooth bump generates an approximate identity. Derivative commutation is Interior mollification commutes with weak derivatives. Smooth localization uses Weak Leibniz rule with a smooth factor. Bounded chart rotations use Affine pullback of weak derivatives and Sobolev seminorms at .
For the Lipschitz height cutoff in step 2.1, first consider on a bounded convex ambient chart box. It is a real Lipschitz function, so the converse part of functions on convex domains have Lipschitz representatives gives there with . Applying Chain rule for globally Lipschitz scalar maps of Sobolev functions to the bounded smooth scalar map gives , , and gradient bound . Restrict to the open chart part of ; it has finite measure, so this bounded function and its bounded derivatives are in . The localized of clause 2 is bounded, since its continuous representative is defined on the compact . Thus Weak product rule for bounded Sobolev functions applies at to and this height cutoff and gives exactly the product derivative used in step 2.1. No smooth-factor Leibniz rule is applied to a nonsmooth graph-height factor. All three suppliers assume AC, already stated here.
Endpoint integration on vertical lines in step 2.1 uses Fundamental theorem of calculus for absolutely continuous functions after [F2]. Integrating its inequality in vertical height and base variables uses Tonelli and Fubini for the completed product, with only almost-everywhere section measurability and the one-dimensional translation case of A C^1 diffeomorphism satisfies the change-of-variables formula for nonnegative Lebesgue measurable functions for each fixed base point; no differentiable graph-flattening theorem is assumed. Completed-product integration is applied to Euclidean Lebesgue measure using The Euclidean Lebesgue measure is the completion of the product of the factor Lebesgue measures, whose CC hypothesis follows from AC. The limits in step 1.1 use Integer-order Sobolev spaces are Banach with on the whole space. The componentwise limits in step 3.1 use Riesz-Fischer completeness of for with . The latter theorem assumes CC; AC implies that assumption and the CC/DC assumptions of the ACL and one-dimensional FTC suppliers.
Proof
Localize by a finite smooth partition subordinate to an interior set and boundary graph charts. Rotate a chart so that is . Its localized whole-space function is zero below this graph and has support away from the chart sides. Translate that localized function upward by . Its support now lies at least from the graph, because is -Lipschitz. Mollification with radius less than produces a smooth function compactly supported in . Translation and then sufficiently fine mollification converge in whole-space by [F1]. The localized interior term is mollified directly. Summing the finite approximations proves . Conversely a sequence of compactly supported smooth approximants in the closure definition has zero extensions Cauchy in , with exactly the original norm differences. The limit is the zero extension of its limit and proves the converse. Lipschitz boundaries have three-dimensional measure zero, since every graph has zero vertical section measure, so support in causes no additional term.
For clause 2 localize in a graph chart and write its vertical height as . The continuous boundary value is zero. For almost every , [F2] and continuity at the boundary give To justify the endpoint, first integrate the ACL identity between and , then let ; the derivative is integrable along almost every finite vertical segment, and continuity gives the endpoint limit. Choose a fixed smooth scalar that is zero on and one on , and multiply by . The construction, Sobolev chain rule and bounded-Sobolev product rule in [F3]–[F4] justify this nonsmooth-in-space factor and bound its weak gradient by . The norm of its extra gradient term is bounded by , using the displayed inequality and integration in , and hence tends to zero. The removed function and gradient terms also tend to zero by absolute continuity of their integrals. These cutoffs lie away from the boundary and can be mollified inside ; compact chart supports handle their other sides. Sum the finite local approximations and the interior term. Thus is in the asserted closure.
Choose converging to in the H(curl) graph norm. Their zero extensions are Cauchy in the whole-space graph norm. The weak test identity passes to the limits of the fields and their curls by Cauchy–Schwarz. Those limits are respectively and the zero extension of , proving the asserted distributional identity and both norm equalities. For , take converging in ; then in , their curls are zero by equality of smooth mixed derivatives, and . The same weak-limit argument proves the last claim. AC licenses these closure approximation sequences and the cited analytic interfaces.
Depends on
- Zero-boundary Sobolev space as a norm closure
- Zero tangential trace H(curl) space
- $\|\tau_h f - f\|_p \to 0$ in $L^p(\mathbb{R}^n)$ as $h \to 0$, for $1 \le p < \infty$
- Every $L^1$ approximate identity converges to the identity in $L^p$ for $1 \le p < \infty$
- Convolution with a mollifier is smooth, and derivatives pass under the integral sign
- The ACL characterisation of $W^{1,p}$
- The Axiom of Choice
- Test function cutoffs and euclidean localization
- Explicit compactly supported smooth cutoffs
- The mollifier family generated by a unit-mass smooth bump
- A unit-mass smooth bump generates an $L^1$ approximate identity
- Interior mollification commutes with weak derivatives
- Euclidean balls have positive finite Lebesgue measure
- Affine pullback of weak derivatives and Sobolev seminorms
- Weak Leibniz rule with a smooth factor
- Integer-order Sobolev spaces are Banach
- Riesz-Fischer completeness of $L^p$ for $1 \le p \le \infty$
- $W^{1,\infty}$ functions on convex domains have Lipschitz representatives
- Chain rule for globally Lipschitz scalar maps of Sobolev functions
- Weak product rule for bounded Sobolev functions
- Fundamental theorem of calculus for absolutely continuous functions
- Tonelli and Fubini for the completed product, with only almost-everywhere section measurability
- A C^1 diffeomorphism satisfies the change-of-variables formula for nonnegative Lebesgue measurable functions
- A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value
- Heine-Borel in $\mathbb{R}^n$: with the Euclidean metric a subset of $\mathbb{R}^n$ is compact if and only if it is closed and bounded, and the proof by bisection uses no choice principle; the same holds on the real line
- The Euclidean Lebesgue measure is the completion of the product of the factor Lebesgue measures
Used by
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Sources
- Ralf Hiptmair and Clemens Pechstein, Regular Decompositions of Vector Fields—Continuous, Discrete, and Structure-Preserving (standard reference, not scraped)