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Complex translation, convolution, approximate identities, and mollification
Statement
Assume countable choice, let , and use Lebesgue measure on . Translation is an isometry of complex for and depends norm-continuously on for .
For complex and , the convolution exists absolutely a.e., defines a measurable class independent of representatives, and satisfies .
If satisfy then in for , and uniformly for . For fixed , when . These assertions allow complex and sign-changing kernels. In particular is such an approximate identity whenever and .
If has mass one, , and is complex locally integrable, then is smooth and A compactly supported input gives a compactly supported output. No general translation-continuity or approximate-identity convergence is asserted.
Facts & Assumptions
Given: Countable choice, Euclidean dimension , and the kernels and inputs in the statement; limits of kernels are as .
Measurability, local integrability and smoothness have their componentwise meanings (Complex Lp classes and Euclidean test-function conventions).
Complex norms have component bounds, Hölder and the triangle inequality (Complex Holder, Minkowski, and the quotient norm).
Under countable choice real translations are norm-continuous for finite p ( in as , for ).
Real Young applies in particular to times Lp and yields an a.e.-defined Lp convolution (Young's convolution inequality).
On sigma-finite spaces and for finite p, the norm of a nonnegative integral envelope is bounded by the integral of the section norms (Minkowski's integral inequality).
Under countable choice a completion-measurable real function has a base-measurable a.e.-equal representative (A function measurable for a completion is almost everywhere equal to one measurable for the original sigma-algebra).
Borel representatives give jointly Borel convolution integrands (Borel representatives make the convolution integrand Borel measurable).
Translation preserves Lebesgue measurability and measure (Lebesgue outer measure, Lebesgue measurability and Lebesgue measure are unchanged by translation).
Under countable choice dilation by c scales measure by the factor |c|^n; reflection preserves measure (For a nonzero real , dilation by multiplies Lebesgue outer measure by , and reflection in the origin preserves it).
A.e.-equal integrable functions have equal integrals (Two integrable functions are equal almost everywhere exactly when all of their indefinite integrals agree).
An integrable majorant permits passing a.e. limits through integrals (Dominated convergence).
A real smooth compactly supported mollifier differentiates by differentiating the kernel on locally integrable inputs (Convolution with a mollifier is smooth, and derivatives pass under the integral sign).
For Borel inputs, the convolution support lies in the closure of their support sum (The support of a convolution lies in the closure of the support sumset).
Countable choice selects one element from each member of a natural-number-indexed family of nonempty sets (The Axiom of Countable Choice ()).
Complex integrals are linear (The Lebesgue integral is linear on ).
The modulus of a complex integral is bounded by the integral of the modulus (The modulus of an integral is bounded by the integral of the modulus).
Closed bounded Euclidean sets are compact and compact sets are bounded (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).
Continuous functions on compact metric spaces are uniformly continuous (Heine-Cantor: a continuous map from a compact metric space to any metric space is uniformly continuous).
A continuous real function on a nonempty compact metric space is bounded (A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value).
Under countable choice Euclidean boxes have their volume as Lebesgue measure (A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included).
Proof
Write . Translation invariance F8 gives for finite : first substitute translated level sets for a nonnegative simple function, then take the supremum defining its nonnegative integral. For infinity the sets have the same measure as , so the essential bounds coincide. Null disagreement sets also translate to null sets, so translations act on classes. For finite , F3 and F2 give . The isometry gives continuity at every from .
Under the given countable-choice hypothesis F14, F6 applied to each component supplies Borel representatives of ; any infinite component values in the base representative occur on a Borel null set and can be set to zero there. F7 makes Borel. Apply F4 to the nonnegative real inputs and : the envelope is finite a.e. and . On this set the complex integral exists absolutely and its modulus is at most by F16. For measurability, expand , and write wherever all integrals converge. Each real convolution is an Lp measurable function by F4 since and by F2. Define the output to be zero on the measurable exceptional set. F2 and monotonicity now give the claimed sharp norm bound, including .
A complex is bounded: its components are bounded on a sufficiently large closed ball by F17 and F19 and are small outside by definition. It is uniformly continuous: for a given , take with for and use F18 on the closed ball of radius to choose making differences below there. If , either both points are in that ball or both have radius greater than , in which case their values differ by less than . This proves uniform continuity. Hence exists everywhere and . As , for fixed , dominated by the integrable function ; F11 gives . Thus .
For a fixed of integral one, substitution using F9 gives , , and by F11, dominated by . Thus scaled integrable mass-one kernels satisfy all three conditions, whether or not they are nonnegative.
For locally integrable , F1 gives locally integrable real components. Apply F12 to each with the real kernel . By F15 their recombination gives all ordered partial derivatives, equal to the integrals with the corresponding kernel derivatives. To check their continuity explicitly, fix and a closed unit ball of x-values about it. The y-supports of for those x-values lie in a fixed closed bounded ball , compact by F17. The derivative of the kernel is globally bounded, say by , by F19 on a ball containing its compact support. Thus the integrands are dominated by , integrable by local integrability. As their pointwise limits are the integrands at , so F11 gives continuity of every derivative integral. The change of variables between the two convolution orders follows from F8–F9. Hence the convolution is smooth with the stated formula.
For any other measurable representatives let be their measurable null disagreement sets. For each fixed , the integrands coincide outside , a measurable null set by F8–F9. The same is true of their absolute values, so absolute integrability holds for either pair exactly when it holds for the other. At those points F10 gives equal integrals. Thus the measurable class in step 1.2 is representative-independent throughout times Lp, without restricting both inputs to .
For finite , normalization and F15 give a.e. Its absolute value is bounded by the envelope with integrand by F16. This integrand is measurable by F7 applied to Borel representatives and ordinary products. Its section norm is , measurable by step 1.1 and bounded by , which is integrable. Euclidean Lebesgue measure is sigma-finite, since for positive integers cover it and have finite measure by F20. Therefore F5 applies and gives .
For , put . Step 1.3 gives . Taking pointwise absolute values in the normalized error integral and then the supremum gives . First send , then . This proves the uniform assertion by a direct supremum estimate.
For any , step 1.1 gives with whenever . Splitting the last integral yields . The tail tends to zero, so the limit superior is at most . Let to obtain convergence. No separate normalization of the real and imaginary kernel parts has been used.
If the locally integrable input has compact support , then . A Borel representative can be made zero outside the closed set while preserving its class by step 2.1. F13 gives output support inside . Both input supports are bounded, so this closed sum closure is bounded and hence compact by F17. The smooth output has closed support inside it, therefore compact support. Zero input or zero convolution yields the empty support; neither requires a nonempty support choice. All estimates above apply at p=1; the only general infinity assertion is the isometry and Young bound, with uniform approximation restricted to C0.
Depends on
- Complex Lp classes and Euclidean test-function conventions
- Complex Holder, Minkowski, and the quotient norm
- Complex completeness, density, and inner product: the consumer interface
- Translation of a function on $\mathbb{R}^n$
- An $L^1$ approximate identity on $\mathbb{R}^n$
- $\|\tau_h f - f\|_p \to 0$ in $L^p(\mathbb{R}^n)$ as $h \to 0$, for $1 \le p < \infty$
- Young's convolution inequality
- Minkowski's integral inequality
- Every $L^1$ approximate identity converges to the identity in $L^p$ for $1 \le p < \infty$
- The modulus of an integral is bounded by the integral of the modulus
- Borel representatives make the convolution integrand Borel measurable
- Convolution with a mollifier is smooth, and derivatives pass under the integral sign
- The support of a convolution lies in the closure of the support sumset
- The mollifier family generated by a unit-mass smooth bump
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Lebesgue outer measure, Lebesgue measurability and Lebesgue measure are unchanged by translation
- For a nonzero real $c$, dilation by $c$ multiplies Lebesgue outer measure by $|c|^n$, and reflection in the origin preserves it
- Two integrable functions are equal almost everywhere exactly when all of their indefinite integrals agree
- Dominated convergence
- A function measurable for a completion is almost everywhere equal to one measurable for the original sigma-algebra
- The Lebesgue integral is linear on $L^1(\mu)$
- 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
- A continuous real-valued function on a nonempty compact metric space is bounded and attains a greatest and a least value
- A box in $\mathbb{R}^n$ with parameters $a_i\le b_i$ is Lebesgue measurable of measure $\prod_{i<n}(b_i-a_i)$, whichever of its faces are included
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Sources
- Richard S. Laugesen, Harmonic Analysis Lecture Notes (2017) (standard reference, not scraped)
- Gerald Teschl, Topics in Real and Functional Analysis (standard reference, not scraped)