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LemmaStatement: Literature-sourcedProof: AI-adaptedPipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-09
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Complex translation, convolution, approximate identities, and mollification

Statement

Assume countable choice, let n1, and use Lebesgue measure on Rn. Translation τhf(x)=f(xh) is an isometry of complex Lp for 1p and depends norm-continuously on h for p<.

For complex KL1 and fLp, the convolution (Kf)(x)=K(y)f(xy)dy exists absolutely a.e., defines a measurable class independent of representatives, and satisfies KfpK1fp.

If KεL1(Rn;C) satisfy Kε=1,M:=supε>0Kε1<,yδKε(y)dy0(δ>0), then Kεff in Lp for p<, and uniformly for fC0(Rn;C). For fixed KL1, KfC0 when fC0. These assertions allow complex and sign-changing kernels. In particular Kε(x)=εnK(x/ε) is such an approximate identity whenever KL1 and K=1.

If ρCc(Rn;R) has mass one, ρε(x)=εnρ(x/ε), and f is complex locally integrable, then ρεf is smooth and α(ρεf)=(αρε)f. A compactly supported input gives a compactly supported output. No general L translation-continuity or approximate-identity convergence is asserted.

Facts & Assumptions

Given: Countable choice, Euclidean dimension n1, and the kernels and inputs in the statement; limits of kernels are as ε0.

[F1]

Measurability, local integrability and smoothness have their componentwise meanings (Complex Lp classes and Euclidean test-function conventions).

[F2]

Complex norms have component bounds, Hölder and the triangle inequality (Complex Holder, Minkowski, and the quotient norm).

[F3]

Under countable choice real translations are norm-continuous for finite p (τhffp0 in Lp(Rn) as h0, for 1p<).

[F4]

Real Young applies in particular to L1 times Lp and yields an a.e.-defined Lp convolution (Young's convolution inequality).

[F5]

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).

[F6]

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).

[F7]

Borel representatives give jointly Borel convolution integrands (Borel representatives make the convolution integrand Borel measurable).

[F8]
[F9]

Under countable choice dilation by c scales measure by the factor |c|^n; reflection preserves measure (For a nonzero real c, dilation by c multiplies Lebesgue outer measure by cn, and reflection in the origin preserves it).

[F11]

An integrable majorant permits passing a.e. limits through integrals (Dominated convergence).

[F12]

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).

[F13]

For Borel L1 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).

[F14]

Countable choice selects one element from each member of a natural-number-indexed family of nonempty sets (The Axiom of Countable Choice (ACω)).

[F15]

Complex integrals are linear (The Lebesgue integral is linear on L1(μ)).

[F16]

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).

[F18]

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).

[F19]

Proof

technique · Use real norm and measurability suppliers, then estimate the complex error by an absolute integral envelope
1.1

Write f=u+iv. Translation invariance F8 gives f(xh)pdx=f(x)pdx for finite p: first substitute translated level sets for a nonnegative simple function, then take the supremum defining its nonnegative integral. For infinity the sets {f(h)>a} have the same measure as {f>a}, so the essential bounds coincide. Null disagreement sets also translate to null sets, so translations act on classes. For finite p, F3 and F2 give τhffpτhuup+τhvvp0. The isometry gives continuity at every h0 from τhfτh0fp=τhh0ffp.

F1F2F3F8
1.2

Under the given countable-choice hypothesis F14, F6 applied to each component supplies Borel representatives of K,f; any infinite component values in the base representative occur on a Borel null set and can be set to zero there. F7 makes (x,y)K(y)f(xy) Borel. Apply F4 to the nonnegative real inputs KL1 and fLp: the envelope A(x)=K(y)f(xy)dy is finite a.e. and ApK1fp. On this set the complex integral exists absolutely and its modulus is at most A by F16. For measurability, expand K=a+ib, f=u+iv and write Kf=(aubv)+i(av+bu) wherever all integrals converge. Each real convolution is an Lp measurable function by F4 since a,bL1 and u,vLp by F2. Define the output to be zero on the measurable exceptional set. F2 and monotonicity now give the claimed sharp norm bound, including p=.

F2F4F6F7F14F16given
1.3

A complex fC0 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 η>0, take R with f(x)<η/2 for x>R and use F18 on the closed ball of radius R+2 to choose 0<δ<1 making differences below η there. If xz<δ, either both points are in that ball or both have radius greater than R, in which case their values differ by less than η. This proves uniform continuity. Hence Kf exists everywhere and (Kf)(x+z)(Kf)(x)K1supwf(w+z)f(w)0. As x, f(xy)0 for fixed y, dominated by the integrable function fK(y); F11 gives (Kf)(x)0. Thus KfC0.

F1F11F16F17F18F19
1.4

For a fixed KL1 of integral one, substitution y=x/ε using F9 gives Kε=K=1, Kε1=K1, and xδKε(x)dx=yδ/εK(y)dy0 by F11, dominated by K. Thus scaled integrable mass-one kernels satisfy all three conditions, whether or not they are nonnegative.

F9F11given
1.5

For locally integrable f=u+iv, F1 gives locally integrable real components. Apply F12 to each with the real kernel ρε. By F15 their recombination gives all ordered partial derivatives, equal to the integrals with the corresponding kernel derivatives. To check their continuity explicitly, fix x0 and a closed unit ball of x-values about it. The y-supports of αρε(xy) for those x-values lie in a fixed closed bounded ball Q, compact by F17. The derivative of the kernel is globally bounded, say by Cα, by F19 on a ball containing its compact support. Thus the integrands are dominated by Cαf1Q, integrable by local integrability. As xx0 their pointwise limits are the integrands at x0, 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.

F1F8F9F11F12F15F17F19
2.1

For any other measurable representatives let NK,Nf be their measurable null disagreement sets. For each fixed x, the integrands coincide outside NK(xNf), 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 L1 times Lp, without restricting both inputs to L1.

F8F9F10step 1.2
2.2

For finite p, normalization and F15 give Kεff=Kε(y)(f(y)f())dy a.e. Its absolute value is bounded by the envelope with integrand Kε(y)f(xy)f(x) by F16. This integrand is measurable by F7 applied to Borel representatives and ordinary products. Its section norm is Kε(y)τyffp, measurable by step 1.1 and bounded by 2fpKε(y), which is integrable. Euclidean Lebesgue measure is sigma-finite, since [j,j]n for positive integers j cover it and have finite measure (2j)n by F20. Therefore F5 applies and gives KεffpKε(y)τyffpdy.

F2F5F7F15F16F20step 1.1step 1.2
2.3

For fC0, put ωf(δ)=supy<δ,xf(xy)f(x). Step 1.3 gives ωf(δ)0. Taking pointwise absolute values in the normalized error integral and then the supremum gives KεffsupMωf(δ)+2fsupyδKε(y)dy. First send ε0, then δ0. This proves the uniform assertion by a direct supremum estimate.

F15F16step 1.3given
3.1

For any η>0, step 1.1 gives δ>0 with τyffp<η whenever y<δ. Splitting the last integral yields KεffpMη+2fpyδKε(y)dy. The tail tends to zero, so the limit superior is at most Mη. Let η0 to obtain convergence. No separate normalization of the real and imaginary kernel parts has been used.

step 1.1step 2.2given
4.1

If the locally integrable input has compact support S, then f=Sf<. A Borel representative can be made zero outside the closed set S while preserving its class by step 2.1. F13 gives output support inside S+suppρε. 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.

F13F17step 2.1step 1.5

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