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Inward mollification and smooth finite-rank approximation on Lipschitz domains
Statement
Assume Countable Choice. Let be a bounded Lipschitz open set, with , and let . Let be either for , including , or . In the latter space derivatives in extend continuously to , and the norm is . For every norm-compact and every , there is a bounded finite-rank linear map such that and whose range is contained in the restrictions to of functions in , with their continuous boundary values in the case. In particular, such smooth restrictions are norm-dense in .
Moreover, there are finitely many ambient smooth cutoffs , vectors , a unit-mass , and such that for the kernel , with , defines bounded linear smoothing maps . They satisfy and for every norm-compact . Each kernel is ambient smooth with fixed compact support in its first variable.
Statement references
Facts & Assumptions
Given: Countable Choice, as in the statement. Lipschitz means that every boundary point has a rigid graph chart in which is the strict epigraph of a Lipschitz function.
The Sobolev norm is the finite sum of the norms of the weak derivatives through order , and ; this is a well-defined norm under Countable Choice (Integer-order Sobolev spaces and their norms, The Sobolev norm descends to equivalence classes).
A finite open cover of a compact Euclidean set admits nonnegative ambient smooth functions compactly supported in the respective cover members and summing to one on a neighborhood of that set (Finite ambient partitions near compact sets).
Interior mollification commutes with every weak derivative through order wherever the closed mollifier-support ball is compactly contained in the domain (Interior mollification commutes with weak derivatives).
Under Countable Choice, translations are isometries in and are norm-continuous for ; convolution with a compact smooth kernel is smooth and differentiates by differentiating the kernel (Complex translation, convolution, approximate identities, and mollification).
Minkowski's integral inequality holds for all ; its case is Tonelli's identity (Minkowski's integral inequality).
Classical derivatives of a function are weak derivatives, and the weak Leibniz rule holds for a smooth multiplier with bounded derivatives (Classical derivatives agree with weak derivatives, Weak Leibniz rule with a smooth factor).
Closed bounded Euclidean sets are compact, and continuous maps on compact metric spaces are uniformly continuous (Heine-Borel in : with the Euclidean metric a subset of 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, Heine-Cantor: a continuous map from a compact metric space to any metric space is uniformly continuous).
Bounded measurable Euclidean sets have finite measure, and Hölder, including , gives for nonempty open (Lebesgue measure is sigma-finite, and every metrically bounded subset of has finite outer measure, Holder's inequality for integrals, including the endpoint cases).
Nested balls admit a nonnegative compactly supported smooth bump equal to one on the inner ball (A smooth bump between concentric Euclidean balls).
Choice use: Countable Choice is used in the Sobolev, Lebesgue-measure, translation, convolution and weak-derivative interfaces [F1], [F3]–[F6], [F8]. The geometric cover and all later nets and cell selections are finite selections. No stronger choice axiom is used.
Proof
If , is the zero space; take , the empty cutoff family, , and . If the compact approximation clause is vacuous and suffices; the smoothing construction below depends only on and , and can be obtained by carrying it out with . Henceforth both sets are nonempty. In particular , because contains a ball and is bounded. Fix one boundary chart , with Lipschitz graph function of constant , and an ambient neighborhood of its boundary point with compact. In chart coordinates set . For , , and sufficiently small , uniformly in , the point stays in because . Moreover . Thus . Rotate back to the original coordinates.
The compact boundary admits finitely many such , , covering it. The compact remainder lies in ; cover it by finitely many balls with closures in , and let be their union, omitting it if the remainder is empty. Then , so has the same ball property for sufficiently small . Apply [F2] to this finite open cover of , obtaining with near . The minimum of the finitely many positive bounds on gives such that for every and . Taking the family of all admissible chart neighborhoods before extracting a finite subcover avoids selecting a chart independently at every boundary point.
By [F9] choose a nonnegative smooth bump compactly supported in and positive on , and divide it by its positive integral to obtain with . Put . Every belongs continuously to : use [F8] for Sobolev spaces, and for . For its zero extension define and . By [F4] these are well-defined linear constructions independent of representatives and .
First take . For every and , [F3] and step 2.1 give The translated center has distance greater than from : the entire closed ball of radius is a compact subset of . The identity consequently holds on a neighborhood of each indicated . Equivalently the defining weak-derivative identity can be tested against , whose support is compact in ; its two derivative signs cancel. Only interior values are used, with no assertion that derivatives commute with zero extension across .
For define and . Translation invariance and [F5] give and By [F4], as . The integral estimates also apply when , where [F5] follows directly from Tonelli.
Fix . Write , so . Fix a closed box containing . The finitely many , , are smooth and uniformly continuous on the compact set by [F7]. For any , partition into finitely many measurable cells of small enough diameter, assigning shared and outer faces consistently, and choose . Their diameters can be chosen so that for , and . The point need not lie in .
Set . The finite Leibniz rule [F6], step 4.1 and near give, for , the a.e. identity on Every derivative vanishes off , so step 4.1 supplies exactly the identities used in this formula. All these fixed multiplier derivatives are bounded. Step 4.2 and the finite norm sum [F1] therefore imply . The same Leibniz formula without subtracting , and , give . For example take the norm over of . This argument includes and .
Now take . By [F6] each bounded classical derivative is its weak derivative, so and step 4.1 applies. Each is uniformly continuous on by [F7]. For , every sampled lies in and . Positivity and mass one of thus give The formula of step 5.1, first on and then by continuity on , gives . Bounding each averaged derivative by and summing the same fixed multiplier constants gives also in this case.
Define Each coefficient is a bounded linear functional by step 3.1, and there are finitely many coefficients. Each range function belongs to , so the operator has finite rank with the required smooth range. Comparison with the integral for gives For , this yields . For let be the finite number of multi-indices of order at most . Taking the derivative norms and then applying [F8] gives . This includes , and it shows each is bounded because is bounded.
By steps 5.1 and 6.1 the operators converge pointwise to the identity and satisfy . Choose . Compactness gives a finite -net in . Pointwise convergence permits one such that . For any , choose one net point within ; then . Compactness also makes finite: a finite cover by unit balls bounds all these norms by one plus the largest center norm.
Choose small enough that the relevant bound in step 7.1 is below . For , Its range is a finite span of ambient compactly supported smooth functions by step 7.1. Applying this conclusion to the singleton compact set proves smooth-restriction density for every . All net, partition and representative-point choices here are finite; Countable Choice enters only the analytical interfaces stated above.
Depends on
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Integer-order Sobolev spaces and their norms
- The Sobolev norm descends to equivalence classes
- Finite ambient partitions near compact sets
- Interior mollification commutes with weak derivatives
- Complex translation, convolution, approximate identities, and mollification
- Minkowski's integral inequality
- Classical derivatives agree with weak derivatives
- Weak Leibniz rule with a smooth factor
- 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
- Heine-Cantor: a continuous map from a compact metric space to any metric space is uniformly continuous
- Holder's inequality for integrals, including the endpoint cases
- Lebesgue measure is sigma-finite, and every metrically bounded subset of $\mathbb{R}^n$ has finite outer measure
- A smooth bump between concentric Euclidean balls
Used by
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Sources
- Kovachki et al., Neural Operator: Learning Maps Between Function Spaces With Applications to PDEs (standard reference, not scraped)