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Compactly supported chart mollification in uniform and first Sobolev norms
Statement
Work in ZFC. Let , let be open, and let be Lipschitz and compactly supported in : the Euclidean closure is compact and contained in . Its extension by zero is globally Lipschitz and belongs to . Write also for this zero extension whenever its argument ranges over ; all and Sobolev spaces in this item are real. Fix a nonnegative with and , and for set . The functions are smooth, supported in a fixed compact subset of for all sufficiently small , and converge to both uniformly and in . Such nonnegative unit-mass kernels exist in every dimension .
Facts & Assumptions
Real-valued locally Lipschitz functions are differentiable almost everywhere; their measurable partial derivatives are weak derivatives and satisfy almost everywhere on every -Lipschitz open region. Lipschitz graph area and calculus under Countable Choice
Convolution commutes with weak derivatives, including on all of Euclidean space for the zero extension. Interior mollification commutes with weak derivatives
Translations are continuous in for ; use for the function and its weak first derivatives. ‖τ_h f - f‖ₚ → 0 in Lᵖ(ℝⁿ) as h → 0, for 1 ≤ p < ∞
Convolution with a compactly supported smooth mollifier is smooth and differentiates under the integral. Convolution with a mollifier is smooth, and derivatives pass under the integral sign
Work in ZFC, carrying the analytic suppliers' countable-choice assumptions. The Axiom of Choice
Membership in the real space means that the function and each weak first derivative belong to , and . Integer-order Sobolev spaces and their norms
The mollifier family is generated by the fixed kernel via . Its mass is one, and the stated unit-ball support gives . The mollifier family generated by a unit-mass smooth bump
For every , a nonnegative smooth bump equals one on and has support in . A smooth bump between concentric Euclidean balls
In the Euclidean metrics, Lipschitz means that some satisfies for every pair in the domain. Lipschitz map, α-Hölder map for rational 0 < α ≤ 1, and contraction
For measurable functions, whenever the integrand is measurable and integrable. Convolution of two functions on ℝⁿ
On sigma-finite measure spaces, if is product-measurable and , then belongs to and . This is the case of Minkowski's integral inequality. Minkowski's integral inequality
For an integrable real or complex function , . The modulus of an integral is bounded by the integral of the modulus
Lebesgue measure is translation invariant, and an invertible linear map scales it by the absolute determinant. The corresponding integral substitutions follow first for indicator functions, then simple functions and their increasing limits; apply this also to positive and negative parts of integrable functions. In particular, has volume factor , and translations preserve norms. A linear map T of ℝⁿ sends Lebesgue measurable sets to Lebesgue measurable sets, with λₙ(T[E])=|det T| λₙ(E) when T is invertible and T[E] Lebesgue null when it is not Lebesgue outer measure, Lebesgue measurability and Lebesgue measure are unchanged by translation
A map from to is Borel measurable when it is measurable between their Borel sigma-algebras; use for real-valued functions. Borel measurable and Lebesgue measurable functions on ℝⁿ
For a measure space, the real quotient norm is well defined and satisfies and . The Lᵖ norm descends to the quotient and makes Lᵖ a normed space for 1 ≤ p ≤ ∞
For a real-valued function on , is the Euclidean closure of its nonzero set; compact support means that this closure is compact. Applied to the zero extension of , its nonzero set is , so its support is exactly the set specified in the Statement. The support of a function on ℝⁿ and its compactly supported Riemann integral
The space consists of real-valued continuous functions on with compact support, and is its subspace of smooth functions. The spaces C_c(ℝⁿ) and C_c^∞(ℝⁿ)
Proof
Given: The hypotheses in the Statement.
Goal: Establish the stated construction or identity.
By [F8], choose a bump equal to one on with support in . Its integral is positive and finite, so is an admissible kernel, proving the existence assertion with the real smooth-function convention of [F17]; the rest of the proof applies to any fixed kernel in the Statement. By [F16], the set in the Statement is . If is empty, all asserted functions are zero. Otherwise compactness gives such that is compact and contained in ; when , take any . The zero extension is globally Lipschitz: for and , approach the first exit point of the segment from to from within . The function is zero near that exit point because stays away from the complement, so the Lipschitz inequality gives . Pairs in satisfy the original bound and pairs outside have zero difference. By [F1], has bounded weak derivatives, zero almost everywhere off , so the function and these derivatives are integrable and [F6] gives . The support of lies in , hence in the fixed compact subset above for .
By [F7], [F10] and the substitution in [F13], . The integrand is integrable since is bounded and has compact support. Thus [F9] and [F12] give , proving uniform convergence. For the Sobolev estimate take or a representative of one of its weak first derivatives. For a derivative, choose the following Borel representative in the sense of [F14]: take the limit of the continuous difference quotients where the sequence converges and put zero elsewhere, where is the th coordinate vector. The convergence set is Borel by the countable Cauchy criterion, and the resulting function is Borel measurable. It agrees almost everywhere with by [F1]. The function itself is continuous. Consequently is product-measurable for the Borel sigma-algebras: the product Borel sigma-algebra is the Euclidean Borel sigma-algebra because open rectangles from countable bases generate the product topology; compose the Borel functions with the continuous affine maps and take their difference and product. Each Euclidean Borel Lebesgue measure space is sigma-finite, being covered by bounded cubes. By [F13] and the norm triangle inequality and homogeneity from [F15], . All hypotheses of [F11] are therefore satisfied.
Applying [F11] gives . Hence is integrable for almost every , and the convolution substitution [F10], [F13], its unit mass [F7] and [F12] imply almost everywhere. It follows that . Given , [F3] supplies such that implies . If , every in the unit-ball support of satisfies this bound with , so the last integral is at most . This proves convergence for and each weak first derivative. Apply [F2] with , , and the kernel specified in the Statement; its hypotheses hold by step 1.1, so commutation of convolution with weak derivatives and [F6] prove the convergence. The smoothness supplier [F4] applies because is locally integrable and the fixed kernel is smooth, compactly supported and of mass one. Together with the support conclusion in step 1.1 and the uniform convergence in step 2.1, this proves every assertion.
Depends on
- Integer-order Sobolev spaces and their norms
- The mollifier family generated by a unit-mass smooth bump
- Lipschitz graph area and calculus under Countable Choice
- Interior mollification commutes with weak derivatives
- ‖τ_h f - f‖ₚ → 0 in Lᵖ(ℝⁿ) as h → 0, for 1 ≤ p < ∞
- Convolution with a mollifier is smooth, and derivatives pass under the integral sign
- The Axiom of Choice
- A smooth bump between concentric Euclidean balls
- Lipschitz map, α-Hölder map for rational 0 < α ≤ 1, and contraction
- Convolution of two functions on ℝⁿ
- Minkowski's integral inequality
- The modulus of an integral is bounded by the integral of the modulus
- A linear map T of ℝⁿ sends Lebesgue measurable sets to Lebesgue measurable sets, with λₙ(T[E])=|det T| λₙ(E) when T is invertible and T[E] Lebesgue null when it is not
- Lebesgue outer measure, Lebesgue measurability and Lebesgue measure are unchanged by translation
- Borel measurable and Lebesgue measurable functions on ℝⁿ
- The Lᵖ norm descends to the quotient and makes Lᵖ a normed space for 1 ≤ p ≤ ∞
- The support of a function on ℝⁿ and its compactly supported Riemann integral
- The spaces C_c(ℝⁿ) and C_c^∞(ℝⁿ)
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