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How statement and proof provenance work

The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.

  • Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
  • AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
  • AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.

These labels describe origin, not correctness: citations and verification chips remain separate evidence.

Fourier Transform Convolution and Approximate Identities — Examples

1 · Prerequisites

2 · Summary

These examples use the negative-sign, 2π normalization established on the companion A page. The interval, Gaussian, Poisson and triangle calculations give explicit transforms, including their zero-frequency values. The Poisson example also identifies Abel summation and checks recovery at Lebesgue points through the radial kernel theorem.

The counterexamples distinguish three different limitations. An integrable function can have a nonintegrable transform. Changing an integrable representative at one point prevents an everywhere inversion claim for that representative. Finally, the Riemann–Lebesgue conclusion has no universal rate: an explicitly chosen series of modulated Gaussians defeats any proposed positive rate tending to zero.

The closing Wiener theorem is Recorded orientation with its exact external source, not a proved supplier. Its translate-span statement is kept distinct from the L2 criterion. The calculations and counterexamples preceding it have their own complete arguments and do not depend on this recorded result.

3 · Logical flowchart

4 · Definitions, theorems and proofs

None yet.

5 · Examples, counterexamples and false statements

ExampleConstruction: Literature-sourcedVerification: AI-adaptedjudge pass (gpt-5.6-terra)Open item page →

Transform of an interval indicator

Example

Assume countable choice and ab. For f=1[a,b] on R, f^(ξ)=e2πiaξe2πibξ2πiξ(ξ0),f^(0)=ba. In particular for [a,b]=[1/2,1/2] the transform is sin(πξ)/(πξ) with value one at zero.

Facts & Assumptions

Given: ab and The Axiom of Countable Choice (ACω), with the integral convention of Fourier transform on complex L1 classes.

[F1]

Complex FTC evaluates continuous derivatives on intervals (Complex integration by parts on intervals and decaying lines).

[F3]

The transform of an integrable function is continuous (The L1 transform is bounded and uniformly continuous).

Verification

1.1

The interval indicator is integrable with norm ba. For a<b and ξ0, F2 gives the antiderivative e2πixξ/(2πiξ). F1 at a and b gives the displayed quotient. If a=b the indicator is null almost everywhere and both the numerator and transform vanish.

F1F2given
2.1

At zero frequency the integral is the interval length ba; F3 shows this is the continuous extension of the quotient. For the symmetric interval its numerator is eπiξeπiξ=2isin(πξ) by F2, giving the sinc formula and value one. Countable choice is inherited from the interval Lebesgue measure and FTC bridge.

F1F2F3step 1.1
ExampleConstruction: Literature-sourcedVerification: AI-adaptedjudge pass (gpt-5.6-terra)Open item page →

Scaled and tensor Gaussian examples

Example

Assume countable choice. For t>0, gt(x)=eπtx2 has transform tn/2eπξ2/t on Rn. The normalized density tn/2gt has mass one and transform eπξ2/t.

Facts & Assumptions

Given: n1, t>0 and The Axiom of Countable Choice (ACω).

[F1]

The normalized Gaussian transform formula holds in every positive dimension (Euclidean Gaussian transform with the 2π normalization).

[F2]

Linear scaling uses the absolute determinant (Translation, modulation, linear dilation and reflection laws).

Verification

1.1

Write gt=g1(tI). F2 and F1 give g^t(ξ)=tn/2g^1(ξ/t)=tn/2eπξ2/t. Thus the spatial scale is t1/2, while the frequency scale is t1/2.

F1F2given
2.1

At zero frequency the formula gives gt=tn/2. Multiplying both sides by tn/2 gives the mass-one formula. For t=1 the Gaussian is unchanged by Fourier transform; in n coordinates the product of n one-dimensional values gives the factor tn/2. Countable choice is inherited from F1 and F2.

F1F2step 1.1
ExampleConstruction: Literature-sourcedVerification: AI-adaptedjudge pass (gpt-5.6-terra)Open item page →

Poisson kernel transform and Abel summability on the line

Example

Assume countable choice. For a>0, Pa(x)=a/(π(a2+x2)) satisfies P^a(ξ)=e2πaξ. For fL1(R) its Abel mean f^(ξ)e2πaξe2πixξdξ equals (fPa)(x) and tends to the Lebesgue value at every Lebesgue point as a0.

Facts & Assumptions

[F2]

Positive improper integrals agree with Lebesgue integrals (A nonnegative improper Riemann integral on a half-line agrees with the Lebesgue integral).

[F3]

Inversion applies when the function and transform are integrable (L1 Fourier inversion with an integrable transform).

[F4]

Absolute product integrability permits Fubini (Fubini's theorem for L^1 functions on a sigma-finite product).

[F5]

Bounded integrable radial majorants give recovery of Lebesgue values (Lebesgue-point convergence for radial-majorized kernels).

Verification

1.1

Put qa(x)=e2πax. It is integrable with integral 1/(πa), by F1 on finite half-intervals and F2 for the positive exponential tails. Integration on [0,R] gives [1e2π(a+iξ)R]/[2π(a+iξ)]. The omitted absolute tail is e2πaR/(2πa), so the half-line transform is 1/[2π(a+iξ)]. Reflecting the negative half gives 1/[2π(aiξ)]. Their sum is a/[π(a2+ξ2)]=Pa(ξ).

F1F2given
2.1

The rational P_a is bounded on a compact core and bounded by a/(πx2) for x1, hence integrable by the elementary convergent inverse-square improper tail and F2. F3 applied to q_a gives P^a(x)=qa(x) almost everywhere. Both sides are continuous, so equality holds everywhere (a nonzero continuous difference cannot vanish a.e. on an interval). Evenness then gives the stated transform and, at zero, Pa=1.

F2F3step 1.1
3.1

In the Abel integral, inserting f^ gives a double absolute bound f1qa1<. F4 exchanges the integrals and step 1.1 identifies the inner inverse integral with Pa(xy), since P_a is even. Thus the mean is fPa, absolutely at every x since P_a is bounded. Finally Pa(y)=a1P1(y/a) and Φ(r)=1/[π(1+r2)] is bounded, decreasing and integrable with radial mass one. F5 gives the asserted Lebesgue-point limit. All integral and pointwise suppliers carry the stated countable choice.

F4F5step 1.1step 2.1
ExampleConstruction: Literature-sourcedVerification: AI-adaptedjudge pass (gpt-5.6-terra)Open item page →

Triangle function and squared sinc

Example

Assume countable choice. The triangle T(x)=max(1x,0) on R has T^(ξ)=(sin(πξ)/(πξ))2, with value one at zero.

Facts & Assumptions

Given: The Axiom of Countable Choice (ACω) and I=1[1/2,1/2].

[F1]

The interval indicator I has sinc transform, with value one at zero (Transform of an interval indicator).

[F2]

Fourier turns integrable convolution into multiplication (Fourier transform turns L1 convolution into multiplication).

Verification

1.1

The integral (II)(x) is the length of [1/2,1/2][x1/2,x+1/2]. For 0x1 this length is 1x; for 1x0 it is 1+x; for x>1 the intervals are disjoint. At x=1 the intersection is a null singleton. Thus II=T everywhere.

given
2.1

By F1 and F2, T^=I^2 gives the displayed squared sinc. At zero the value is one, also equal to 11(1x)dx=2[xx2/2]01=1. Countable choice is inherited from the indicator and convolution suppliers.

F1F2step 1.1
CounterexampleConstruction: Literature-sourcedVerification: AI-adaptedjudge pass (gpt-5.6-terra)Open item page →

An L1 transform need not be integrable

Statement refuted

Every integrable function on R has an integrable Fourier transform.

Facts & Assumptions

[F1]

The transform of f=1[1/2,1/2] is sin(πξ)/(πξ), with value one at zero (Transform of an interval indicator).

Counterexample

1.1

Take the f in F1, whose integral and norm are one. For integer k1 and ξ[k+1/6,k+5/6], sin(πξ)1/2. Consequently f^(ξ)1/[2π(k+1)] on an interval of length 2/3, and its integral there is at least 1/[3π(k+1)].

F1given
2.1

These intervals are disjoint. The sum of their lower bounds diverges: the block 2mk<2m+1 contributes at least 2m/[3π2m+1]=1/(6π). Hence f^=, despite f1=1. The failure concerns absolute integrability, not continuity or decay of the transform. Countable choice is inherited from F1 and Lebesgue interval measure.

F1step 1.1
CounterexampleConstruction: Literature-sourcedVerification: AI-adaptedjudge pass (gpt-5.6-terra)Open item page →

Null-set modifications defeat everywhere representative recovery

Statement refuted

Whenever f,f^L1, the inverse Fourier integral equals the chosen representative f at every point.

Facts & Assumptions

Given: The Axiom of Countable Choice (ACω) and f=1{0} on R.

[F2]

The integral of a nonnegative function over a null set vanishes (A nonnegative integral over a null set vanishes).

[F3]

Null modifications do not change any transform value (The integral transform is representative independent).

Counterexample

1.1

F1 and F2 give f=0, so f represents the zero integrable class. F3 gives f^(ξ)=0 for every frequency, and hence the transform is integrable too.

F1F2F3given
2.1

The inverse integral at zero is f^(ξ)dξ=0, whereas f(0)=1. Thus the claimed every-point assertion fails. In fact the mean oscillation about the chosen value f(0) equals one on every centered interval, so zero is not a Lebesgue point with that value. This respects the actual almost-everywhere inversion theorem. Countable choice is inherited from F1.

F1F2step 1.1
CounterexampleConstruction: AI-generatedVerification: AI-generatedjudge pass (gpt-5.6-terra)Open item page →

There is no universal Riemann–Lebesgue decay rate

Statement refuted

There is a positive rate function r:[0,)(0,) tending to zero such that every fL1(R) satisfies f^(ξ)=O(r(ξ)) as ξ.

Facts & Assumptions

Given: The Axiom of Countable Choice (ACω) and any positive r tending to zero.

[F1]

g(x)=eπx2 has mass one and transform eπξ2 (Euclidean Gaussian transform with the 2π normalization).

[F2]

Modulation by e2πibx translates the transform by b (Translation, modulation, linear dilation and reflection laws).

[F3]

Dominated convergence applies under one integrable majorant (Dominated convergence).

Counterexample

1.1

Set ξ0=0. For k1 let ξk be the least positive integer greater than ξk1+k for which r(ξk)<22k. Such integers exist by the assumed limit. This recursion is explicit and uses no choice selection. The series f(x)=k12ke2πiξkxg(x) converges absolutely at each x with modulus at most g(x); its measurable limit belongs to L1 by F1.

F1given
2.1

At each frequency, F3 applied to the partial sums times the unit-modulus Fourier factor, dominated by g, gives f^(ξ)=k12keπ(ξξk)2 by F1 and F2. All summands are nonnegative. Thus f^(ξk)2k and f^(ξk)/r(ξk)>2k, while ξk. This refutes every proposed rate, even allowing an f-dependent big-O constant. Countable choice is inherited only from the Gaussian and modulation suppliers. This explicit construction is local and is not attributed to a source theorem.

F1F2F3step 1.1
RemarkRemark: Literature-sourcedProof: Not applicable not proved hereOpen item page →
Recorded, not proved here. This statement is included so the library can refer to it honestly, with a citation to the literature. It is not proved anywhere in this library: the track that would prove it has not been developed here yet.

Wiener Tauberian orientation

Recorded orientation

Wiener's L1 Tauberian theorem states that the linear span of all translates of fL1(Rn) is dense in L1 exactly when f^ has no zeros. This result is recorded, not proved here, and supplies no proof dependency.

Dall'Ara, §3, pp.4–7, proves the convolution-annihilator form: if an L1 family has no common Fourier zero and gL is annihilated by convolution with every member, then g=0 almost everywhere (Corollary 3.4). For a singleton family, the usual L1L duality and separation of a proper closed subspace translate this into the dense-translate formulation. That equivalence and its functional-analytic assumptions are part of the recorded orientation, not a local proof.

The source's complete route uses its spreading-out lemma, an explicitly convergent Neumann series to solve a convolution equation locally in frequency, and tempered-distribution support. Those later interfaces are not available as proved prerequisites at this location. The no-zero condition here is everywhere nonvanishing; it must not be confused with an L2 density criterion involving almost-everywhere nonvanishing.

Sources