Alphabeta Math
Pipeline-generated
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.

✓ 7 results · all verified · 5 also independently AI-judged
Every result on this page is machine-checked by a proof checker and read in full and owner-audited; the judge is an additional, independent cross-model AI review of the proofs. The 2 not AI-judged were verified by owner audit (typically over a confirmed judge false positive), not failures.

Lacunary Fourier Series and Sidon Sets

1 · Prerequisites

2 · Summary

Hadamard gaps make finite Fourier sums behave like orthogonal random sums in every finite Lp scale. The same separation permits positive Riesz products, which turn the gap condition into the uniform Sidon inequality.

3 · Logical flowchart

4 · Definitions, theorems and proofs

DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-07Open item page →

Hadamard-lacunary sequences and lacunary trigonometric series

Definition

Use the circle, normalized measure, and characters ek(x)=e2πikx from Period-one Fourier coefficients, partial sums, and convolution on the torus. A strictly increasing sequence (λj)j≥1 of positive integers is Hadamard-lacunary with ratio q if one fixed q>1 satisfies

λj+1≥qλj(j≥1).

A finite lacunary trigonometric sum is ∑j∈Jajeλj for a finite J⊂N>0; a lacunary trigonometric series is the corresponding formal series over j≥1. The ratio condition, rather than merely λj+1−λj→∞, is part of this definition.

LemmaStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-07Open item page →

Finite lacunary Fourier sums have their coefficient ell-two norm

Statement

If J⊂N>0 is finite and f=∑j∈Jajeλj is a lacunary sum in the sense of Hadamard-lacunary sequences and lacunary trigonometric series, then

∥f∥L2(T)2=∑j∈J∣aj∣2.

Facts & Assumptions

Given: A finite set J and the displayed lacunary sum f.

Proof

technique · direct character integration
1.1givenalgebra

Expanding ∣f∣2 gives [given, algebra] ∣f(x)∣2=∑j,k∈Jajak‾eλj−λk(x). The frequencies are distinct because the defining sequence is strictly increasing.

2.1step 1.1algebra∎

For an integer n, direct integration gives [step 1.1, algebra] ∫01en(x) dx=1 when n=0 and 0 otherwise. Thus integration of step 1.1 retains precisely the j=k terms and gives ∫01∣f(x)∣2 dx=∑j∈J∣aj∣2.

LemmaStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-07Open item page →

Hadamard gaps bound the additive representations used in even moments

Statement

Let (λj) be Hadamard-lacunary with ratio q>1, as in Hadamard-lacunary sequences and lacunary trigonometric series. For each integer m≥1, choose r≥1 with qr>m. In every residue class modulo r, an equality

λi1+⋯+λim=λj1+⋯+λjm

forces the two index multisets to be equal.

Facts & Assumptions

Given: m,q,r and two m-term sums as in the Statement.

Proof

technique · compare the largest unmatched frequency
1.1givenalgebra

Suppose the multisets differ, cancel their common entries, and let [given, algebra] λs be the largest remaining frequency. It occurs on only one side. If the other side has a remaining term, its index is at most s−r because all indices lie in one residue class; in particular s−r≥1, and every such frequency is at most λs−r<λs/m. If the other side has no remaining term, the two sums are already unequal.

2.1step 1.1algebra∎

That other side has at most m remaining terms, so its sum is strictly [step 1.1, algebra] less than mλs/m=λs, whereas its opposing side is at least λs. This contradicts the equality. Hence nothing remains after cancellation, which is exactly equality of multisets.

TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-07Open item page →

L-p norm equivalence for finite Hadamard-lacunary sums

Statement

Let q>1 and 0<p<∞. There are constants cp,q,Cp,q>0 such that every finite q-Hadamard-lacunary sum f=∑j∈Jajeλj satisfies

cp,q(∑j∈J∣aj∣2)1/2≤∥f∥Lp(T)≤Cp,q(∑j∈J∣aj∣2)1/2.

Here ∥f∥p=(∫01∣f∣p)1/p is a quasi-norm when 0<p<1. The L2 identity is Finite lacunary Fourier sums have their coefficient ell-two norm, the additive input is Hadamard gaps bound the additive representations used in even moments, and the usual p≥1 integral inequality is Holder's inequality for integrals, including the endpoint cases.

Facts & Assumptions

Given: p,q,J,(aj) and f as in the Statement; write A=(∑j∈J∣aj∣2)1/2.

Proof

technique · residue-class even moments, followed by interpolation or a distribution bound
1.1givenalgebra

For every integer m≥1, split J into r=r(m,q) residue classes [given, algebra] with qr>m. Expanding the 2m-th moment of each class, the additive lemma says that only equal index multisets survive integration. Their permutations give at most (m!)2 copies, and ∣∑ν=1rzν∣2m≤r2m−1∑ν∣zν∣2m. Consequently ∥f∥2m≤Bm,qA for a constant independent of J and the coefficients.

2.1step 1.1algebra

The cited L2 identity gives ∥f∥2=A. If 1≤p<2, Holder [step 1.1, algebra] applied to ∣f∣2=∣f∣θp∣f∣2m(1−θ), with 1/2=θ/p+(1−θ)/(2m), combines this identity and step 1.1 to give A≤∥f∥pθ(Bm,qA)1−θ. If p≥2, choose m with p≤2m and apply the same interpolation identity with 1/p between 1/2 and 1/(2m) for the upper bound. For the lower bound, normalized Haar measure has mass one, so Holder gives ∥f∥p≥∥f∥2=A whenever p≥2. Thus the stated two-sided estimate holds for every p≥1.

3.1step 1.1step 2.1algebra∎

Let 0<p<1. Step 1.1 with m=2 and the L2 identity give [step 1.1, step 2.1, algebra] ∫∣f∣2=A2 and ∫∣f∣4≤B2,q4A4. Cauchy--Schwarz applied to ∣f∣21{∣f∣≥A/2} shows that this set has measure at least dq>0; otherwise its complement contributes at most A2/2. Hence ∥f∥pp≥dq(A/2)p. Conversely tp≤1+t2 for t≥0, and applying this to t=∣f∣/A shows ∥f∥pp≤2Ap when A>0; the case A=0 is immediate. This proves both bounds for 0<p<1.

CorollaryStatement: Literature-sourcedProof: AI-adaptedprecheck passverified 2026-09-24 (gpt-6-sol)Open item page →

L-p convergence of a lacunary series is equivalent to ell-two coefficients

Statement

Assume the Axiom of Choice. For a q-Hadamard-lacunary sequence and coefficients (aj), the partial sums of ∑j≥1ajeλj converge in Lp(T) if and only if (aj)∈ℓ2, for every 1≤p<∞. For 0<p<1, they converge if and only if (aj)∈ℓ2 in the complete metric dp of The Lp distance for 0<p<1 is a complete translation-invariant metric. Completeness above one is supplied by Riesz-Fischer completeness of Lp for 1≤p≤∞, and the finite estimate is L-p norm equivalence for finite Hadamard-lacunary sums.

Facts & Assumptions

Given: The Axiom of Choice and p,q,(λj) and (aj) as in the Statement.

[A1]

AC is used through the two completeness suppliers [F2] in step 2.1.

[F1]

The two-sided finite lacunary estimate holds uniformly over finite coefficient sets (L-p norm equivalence for finite Hadamard-lacunary sums).

[F2]

Under the Axiom of Choice, Lp is complete for 1≤p<∞ (Riesz-Fischer completeness of Lp for 1≤p≤∞), and dp is complete for 0<p<1 (The Lp distance for 0<p<1 is a complete translation-invariant metric).

Proof

technique · apply the finite estimate to tails and use completeness
1.1F1givenalgebra

If (aj)∈ℓ2, its coefficient tails tend to zero. Apply the upper bound in [F1] to each difference Sm−Sn of partial sums. The differences tend to zero in the Lp norm for p≥1 and in the metric dp for 0<p<1, since dp(Sm,Sn)=∥Sm−Sn∥pp.

2.1F2step 1.1

By [F2], these Cauchy sequences have limits in their respective spaces.

3.1F1step 1.1step 2.1algebra∎

Conversely, convergence makes the partial sums Cauchy in the relevant norm or metric. The lower bound in [F1] applied to every Sm−Sn forces ∑n<j≤m∣aj∣2→0 uniformly as m>n→∞; in the metric case take the p-th root first. The nonnegative partial sums ∑j≤n∣aj∣2 are then Cauchy and converge, so (aj)∈ℓ2. This proves both implications.

DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-07Open item page →

Sidon sets in the integer dual

Definition

With the characters of Period-one Fourier coefficients, partial sums, and convolution on the torus, a set E⊂Z is a Sidon set if there is a constant CE<∞ such that every finitely supported family (ak)k∈E obeys

∑k∈E∣ak∣≤CE∥∑k∈Eakek∥∞.

The constant may depend on E, but never on the finite support or on its coefficients.

LemmaStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-07Open item page →

Riesz-product witnesses for a Hadamard-lacunary set

Statement

Let Λ be a finite subset of a positive q-Hadamard-lacunary sequence. It is a union of finitely many sets Λ1,…,Λr, with each successive ratio in Λν at least 3. For arbitrary unimodular ελ and each class, the Riesz product

Pν(x)=∏λ∈Λν(1+Re⁡(ελeλ(x)))

is nonnegative, has integral 1, and satisfies P^ν(−λ)=ελ‾/2 for λ∈Λν.

The lacunary and additive conventions are those of Hadamard-lacunary sequences and lacunary trigonometric series and Hadamard gaps bound the additive representations used in even moments.

Facts & Assumptions

Given: A finite Λ, a ratio q>1, and unimodular numbers ελ as in the Statement.

Proof

technique · split into ratio-three classes and expand the product
1.1givenalgebra

Choose r with qr≥3 and split the original indices by residues [given, algebra] modulo r. Each resulting frequency class has successive ratio at least qr≥3. Each factor of Pν equals ∣1+ελeλ∣2/2 and is nonnegative.

2.1step 1.1algebra

On one such class, a nonempty signed sum with coefficients in [step 1.1, algebra] {−1,0,1} cannot be zero: its largest frequency exceeds the sum of all smaller possible frequencies, by the ratio-three geometric bound. Therefore the product expansion has constant term only when every factor contributes its 1. Its integral is consequently 1.

3.1step 1.1step 2.1algebra∎

The same largest-frequency argument says that frequency −λ in [step 1.1, step 2.1, algebra] the expansion occurs only by taking ελ‾e−λ/2 from the λ factor and 1 elsewhere. Hence P^ν(−λ)=ελ‾/2, as claimed.

TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-09-07Open item page →

Hadamard-lacunary sets are Sidon

Statement

Every subset E of a positive q-Hadamard-lacunary sequence is a Sidon set in the sense of Sidon sets in the integer dual. More precisely, one may take CE=2r for any positive integer r such that qr≥3,1qr−1<1−1q. Such an r exists for every q>1.

Facts & Assumptions

Given: A finite polynomial F=∑λ∈Λaλeλ, with Λ⊂E, and r as in the Statement. The original sequence consists of positive integers indexed by j≥1, with λj+1≥qλj. Integrals are over the period-one circle with normalized measure.

[L1]

A finite ratio-three frequency class has a nonnegative Riesz product of integral one and prescribed coefficient P^(−λ)=ελ‾/2 at its own frequencies (Riesz-product witnesses for a Hadamard-lacunary set).

[L2]

The real-valued endpoint Holder inequality bounds ∫∣h∣g by ∥h∥∞∥g∥1 for real measurable h and nonnegative integrable g (Holder's inequality for integrals, including the endpoint cases).

Proof

technique · separate each residue-class product from the other original frequencies, then pair and sum
1.1givenL1construct

Set Q=qr and split the original indices of Λ into r residue classes Λν. Each class has successive ratios at least Q≥3. Set ελ=aλ/∣aλ∣ when aλ≠0, and set it to 1 otherwise. By [L1], the product Pν=∏λ∈Λν(1+Re⁡(ελeλ)) is nonnegative, has integral one, and has the prescribed coefficients on its class. Empty classes use the product 1.

2.1step 1.1givenalgebra

Every nonzero frequency m in the product expansion is a signed sum of distinct frequencies of Λν. If L is its largest contributing frequency, the sum of the smaller frequencies is less than L/(Q−1), so ∣∣m∣−L∣<LQ−1<(1−1q)L. Every other frequency of the original sequence is at most L/q or at least qL; in the latter case its distance from L is at least (q−1)L>(1−1/q)L. Thus if ∣m∣ belongs to the original sequence it must equal L, which lies in this class. In particular P^ν(−λ)=0 for λ∈Λ∖Λν.

3.1step 1.1step 2.1L1L2

Finite character integration, [L1], and this vanishing give ∫01FPν=12∑λ∈Λν∣aλ∣. For completeness, if z=∫FPν≠0, multiplication by z‾/∣z∣ and taking real parts gives ∣z∣≤∫∣F∣Pν; the same inequality is immediate if z=0. Apply [L2] to the real functions ∣F∣ and Pν to obtain 12∑λ∈Λν∣aλ∣≤∫01∣F∣Pν≤∥F∥∞.

4.1step 3.1algebra∎

Summing over the r classes yields ∑λ∈Λ∣aλ∣≤2r∥F∥∞. The constant depends only on q and r, not on the finite support or coefficients, so this is the Sidon inequality.

CorollaryStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-07Open item page →

A continuous Fourier series supported on a Sidon set has ell-one coefficients

Statement

Let E⊂Z be Sidon, and let f be continuous and one-periodic with f^(k)=0 for k∉E. Then

∑k∈E∣f^(k)∣<∞.

The finite Sidon inequality is the definition in Sidon sets in the integer dual. The Fejer kernels are positive and have mass one by The Fejer kernel is a positive approximate identity, and their means converge uniformly for this f by Fejer means converge uniformly for continuous periodic functions.

Facts & Assumptions

Given: E,f, and a Sidon constant CE as in the Statement.

Proof

technique · apply the finite Sidon inequality to Fejer polynomials and pass to monotone coefficient sums
1.1givenalgebra

The N-th Fejer mean is the finite polynomial [given, algebra] σNf=∑∣k∣≤N(1−∣k∣N+1)f^(k)ek. Its spectrum lies in E. Positivity and mass one of the Fejer kernel give ∥σNf∥∞≤∥f∥∞.

2.1step 1.1algebra

Apply the Sidon inequality to this polynomial: [step 1.1, algebra] ∑k∈E∣k∣≤N(1−∣k∣N+1)∣f^(k)∣≤CE∥f∥∞. For every fixed finite subset of E, the displayed weights tend monotonically to 1.

3.1step 2.1algebra∎

Letting N→∞ first for each finite subset and then taking the [step 2.1, algebra] supremum over finite subsets gives ∑k∈E∣f^(k)∣≤CE∥f∥∞. Uniform Fejer convergence identifies the same continuous function with these means, so no separate representative is introduced.

5 · Examples, counterexamples and false statements

None yet.

Sources