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Complex Riesz–Thorin Endpoint Interpolation

1 · Prerequisites

2 · Summary

Finite simple functions give coefficientwise entire families with exact boundary norm powers. The bilinear scalar pairing and the closed-strip three-lines theorem then prove target membership and the interpolated bound. The finite-target case retains arbitrary measure spaces by localizing the finitely many indicator images to sigma-finite support. Countable choice is stated for the full-space extensions and their agreement on intersections. The final abstract endpoint specialization supplies the exponent arithmetic used in Hausdorff–Young applications.

3 · Logical flowchart

4 · Definitions, theorems and proofs

LemmaStatement: AI-adaptedProof: AI-adaptedjudge pass (gpt-5.6-terra)audited 2026-09-10Open item page →

Finite simple analytic families and their exact endpoint norms

Statement

Let 1p0,p1<, 1q0,q1, and 0<θ<1. Define 1p=1θp0+θp1,1q=1θq0+θq1,1r=11q,1r=11q. For complex finite simple functions f=jaj1Ej and g=kbk1Fk on their respective measure spaces, with disjoint finite-measure fibers, there are coefficientwise entire families fz,gz bounded in coefficient modulus on 0Rez1, with fθ=f,gθ=g as a.e. classes. After discarding zero coefficients and null fibers, for nonzero classes and {0,1} and every tR, f+itp=fpp/p. If r<, then g+itr=grr/r when r<, and g+it=1 when r=. If r=, necessarily q0=q1=1; take gz=g, retaining its infinity norm. Zero classes have identically zero families.

Facts & Assumptions

[F1]

Finite simple classes and their norms use disjoint measurable fibers; zero classes can be represented by zero Complex Lp classes and Euclidean test-function conventions.

[F2]

Conjugate exponents have reciprocal sum one with reciprocal infinity zero Conjugate exponents, including the endpoint conventions.

[F4]

For positive a, a to a real power is exp of that power times log a Real powers for positive bases, with the zero-base positive-exponent convention.

[F6]

Compositions of complex differentiable maps are complex differentiable The chain rule for complex derivatives.

[F8]

Affine combinations and finite sums and products of entire functions are entire Linearity, product, reciprocal, and quotient rules for complex derivatives.

[F9]

The real exponential is increasing, so an affine real exponent between its endpoint values gives a modulus bounded by the endpoint maximum The exponential function is strictly increasing.

Proof

Given: The objects and hypotheses in the statement.

1.1

Discard null fibers and zero coefficients without changing the classes, and define their omitted contributions to be zero for every z. For the remaining coefficients put α(z)=p((1z)/p0+z/p1) and aj(z)=(aj/aj)exp(α(z)logaj). Positive coefficient moduli have defined logarithms; at z=theta, α(θ)=1, so aj(θ)=aj. Set fz=jaj(z)1Ej.

F1F2F3F4
2.1

The affine alpha is entire; the chain rule and the entire exponential make every aj(z) entire. For z=x+it, the exponential modulus formula gives aj(z)=exp(p((1x)/p0+x/p1)logaj)=ajp((1x)/p0+x/p1). For 0x1 this is bounded by the larger of the two boundary powers. The finite list of coefficients is therefore bounded throughout the strip. At x= with =0 or 1, disjointness gives f+itpp=jajpμ(Ej)=fpp, proving the asserted norm formula.

F3F4F5F6F7F8step 1.1F9
3.1

Since 1/r=11/q, we have 1/r=(1θ)/r0+θ/r1. If r is finite, put β(z)=r((1z)/r0+z/r1) and bk(z)=(bk/bk)exp(β(z)logbk). The preceding entire-function and modulus calculations apply with r and the b-coefficients, and β(θ)=1. For finite r, g+itrr=kbkrν(Fk)=grr. If r=, each surviving coefficient has modulus one on that boundary, so the essential maximum is one: a nonzero class has at least one positive-measure surviving fiber.

F1F2F3F4F5F6F7F8step 2.1
4.1

If r=, the positive weights 1θ,θ and nonnegative reciprocals force 1/r0=1/r1=0, hence q0=q1=1. The constant family gz=g is entire coefficientwise, bounded, has gθ=g and unchanged infinity norm. Identically zero families handle zero classes on either side, including empty or zero-measure spaces, with no logarithm of zero. Thus every asserted branch is established.

F1F2step 1.1step 3.1
LemmaStatement: AI-adaptedProof: AI-adaptedjudge pass (gpt-5.6-terra)audited 2026-09-10Open item page →

Riesz–Thorin estimate on the finite simple core

Statement

Let (X,A,μ) and (Y,B,ν) be sigma-finite measure spaces. Let T be a complex-linear map from the a.e. classes of complex finite simple functions of finite-measure nonzero set on X into measurable complex a.e. classes on Y. Suppose TfqMfp(=0,1),1p0,p1<,1q0,q1,0M0,M1<. Then for 0<θ<1 and the reciprocal-affine exponents pθ,qθ, TfLqθ(ν),TfqθM01θM1θfpθ. The same conclusion holds on arbitrary source and target measure spaces when q0,q1<. At theta equal to zero or one use the given endpoint estimates, with no convention for 00.

Facts & Assumptions

[F1]

Normalized finite-simple input and dual test functions have coefficientwise entire bounded-strip families with boundary norms one Finite simple analytic families and their exact endpoint norms.

[F2]

Complex Holder bounds bilinear integrals and the quotient norms are homogeneous Complex Holder, Minkowski, and the quotient norm.

[F3]

Finite sums of integrable complex functions can be integrated termwise The Lebesgue integral is linear on L1(μ).

[F4]

Finite sums and products of entire functions are entire Linearity, product, reciprocal, and quotient rules for complex derivatives.

[F5]

A bounded continuous closed-strip function holomorphic inside satisfies the geometric bound at every interior line, including zero boundary bounds Hadamard three-lines theorem.

[F6]

On a sigma-finite measure space bounded finite-simple dual tests prove Lq membership and recover the norm, including q=infinity Complex Lq norm recovery from finite simple dual tests.

[F7]

Integrating a lower bound by a constant times an indicator gives the corresponding bound on its measure Monotonicity and nonnegative homogeneity of the nonnegative integral.

[F8]

Finite unions of finite-measure level sets have finite measure Finite and countable subadditivity of measures.

Proof

Given: The objects and hypotheses in the statement.

1.1

Fix an interior theta and write p,q for its exponents and r for the conjugate of q. If f is zero as a class, linearity gives Tf=0. Otherwise replace f by f/fp. For a nonzero finite simple dual test replace g by g/gr; zero tests already have zero integral. These normalizations are legal for nonzero finite simple classes of finite-measure support. The families in F1 then have input boundary norms one and dual boundary norms one, including the constant family when r=infinity.

F1F2given
2.1

Write fz=jaj(z)1Ej and gz=kbk(z)1Fk. Put hj=T1Ej. The endpoint hypothesis puts each hj in both target endpoint spaces. Endpoint Holder with 1Fk, which belongs to every conjugate space because its support has finite measure, proves Ijk=hj1Fkdν finite. Linearity gives H(z)=(Tfz)gzdν=j,kaj(z)bk(z)Ijk. This is a finite sum of products of entire coefficients, so it is entire and continuous on the closed strip. Their strip bounds and the finite constants Ijk give a uniform bound for H on that whole strip.

F1F2F3F4step 1.1
3.1

On each boundary line {0,1}, Holder and the endpoint operator bound yield H(+it)Tf+itqg+itrM. The precise closed-strip three-lines theorem therefore gives (Tf)g=H(θ)M01θM1θ. It also applies when an M vanishes, because theta is interior and both powers are positive.

F2F5step 1.1step 2.1
3.2

For arbitrary measure spaces with finite q0,q1, choose representatives of the finitely many hj and let Y0=j,m1{hj>1/m}. For each j,m, mq0ν{hj>1/m}hjq0<. Thus each level set has finite measure, and their countable union is sigma-finite (finite unions give an increasing exhaustion). All the chosen hj, hence the finite-sum representative of every Tfz, vanish off Y0. The restricted measure and its measurable sets satisfy the same endpoint bounds.

F7F8step 2.1
4.1

For any unnormalized test s with sr1, either it is the zero class or scaling the estimate for its norm-one version gives (Tf)sM01θM1θ. Every such product is integrable by the endpoint Holder calculation. On sigma-finite Y the membership form of the dual-test lemma now proves TfLq and bounds its norm. Scaling f back proves the desired estimate. No step assumed intermediate target membership before this test.

F2F6step 1.1step 3.1
5.1

Apply steps 1.1, 2.1, 3.1 and 4.1 with dual tests on Y0, extended by zero to Y. Their integrals and norms are unchanged, and membership on Y0 gives membership on Y because Tf vanishes off Y0. The argument used only the finitely many source fibers, not source sigma-finiteness. If Y0 is empty, Tf is zero and the estimate holds directly. The endpoint parameters are exactly the original hypotheses.

F6step 4.1step 3.2
CorollaryStatement: AI-adaptedProof: AI-adaptedjudge pass (gpt-5.6-terra)audited 2026-09-10Open item page →

Compatible extensions from the finite simple core

Statement

Assume countable choice and the hypotheses and measure-space alternatives of Riesz–Thorin estimate on the finite simple core. For each 0θ1 its core operator extends uniquely to a bounded complex-linear map Tθ:Lpθ(μ)Lqθ(ν) with the interpolated bound for interior theta and the original bound at either endpoint. Every two extensions agree as measurable a.e. classes on their domain intersection. Thus T0f0+T1f1 defines a well-defined linear map on Lp0+Lp1, and each interpolated extension is its restriction.

Facts & Assumptions

[F1]

The core map has a finite interpolated norm bound and the given endpoint bounds Riesz–Thorin estimate on the finite simple core.

[F2]

Under countable choice every complex Lq is complete and norm convergence has an a.e.-convergent subsequence, including q=infinity Complex Lp completeness and almost-everywhere subsequences.

[F3]

Finite simple functions with finite-measure support are dense for finite input exponents on every measure space Complex finite-simple and smooth compact-support density for finite p.

[F4]

Countable choices of approximants and representatives are permitted The Axiom of Countable Choice (ACω).

[F5]

The quotient norms are homogeneous and satisfy the triangle inequality Complex Holder, Minkowski, and the quotient norm.

[F6]

Pointwise convergence under an integrable majorant gives convergence of the integrals of the nonnegative errors Dominated convergence.

[F7]

The integer part uniquely specifies rounding to a mesh; positive values round down and negative values round up toward zero Integer part: for every real x there is exactly one integer m with mx<m+1.

[F8]

Integral monotonicity bounds the measures of positive level sets by finite moments Monotonicity and nonnegative homogeneity of the nonnegative integral.

[F9]

Products of positive bases and iterated real powers obey the exponent laws The exponent, product, quotient, and iterated-power laws for positive real bases and real exponents.

[F10]

The real exponential is continuous and strictly increasing The exponential function is strictly increasing.

[F11]

For positive t, exp(log t)=t, so strict increase gives log t positive above one and negative below one The natural logarithm as the inverse of the exponential function.

[F12]

Positive real powers are exp of the exponent times the logarithm; zero to a positive power is zero Real powers for positive bases, with the zero-base positive-exponent convention.

Proof

Given: The objects and hypotheses in the statement.

1.1

Fix theta, put p=pθ and q=qθ, and denote its finite core bound by K (the stated endpoint bound when theta is an endpoint). Density and countable choice give finite simple sn for n1 with snfp<1/n for any fixed fLp. The bound TsnTsmqKsnsmp makes Tsn Cauchy. Completeness, with its stated countable-choice hypothesis, gives a limit; define Tθf to be that limit.

F1F2F3F4
1.2

To compare parameters a,b, fix a finite-valued measurable representative fLpaLpb. For n1, set En={1/nfn}. This set has finite measure because npaμ(En)fpa. On En, round each real and imaginary component toward zero to a multiple of 1/n2, and put sn=0 elsewhere. The rounding has finitely many values because the components are bounded by n; its fibers are measurable intervals, and its support lies in En. Also snf. At a point with f nonzero, it eventually belongs to En and the rounding error is at most 2/n2; at a zero of f every sn is zero. Thus snf pointwise and snfpj2pjfpj for j=a,b. Dominated convergence applied to these errors gives simultaneous convergence in both source norms.

F6givenF7F8F9
2.1

If (tn)n1 is a second core approximation converging to f, TsnTtnqK(snfp+tnfp)0, so the definition is independent of approximation. Approximate f and g separately; αsn+βtn approximates αf+βg, and core linearity gives linearity of the limits. Norm continuity gives TθfqKfp. Any bounded extension has the same limit on a dense core, proving uniqueness. This includes K=0.

F5step 1.1
3.1

By step 2.1, the one sequence Tsn converges in Lqa to Taf and in Lqb to Tbf. The a.e.-subsequence theorem first gives a subsequence converging a.e. to a representative of Taf; apply it again to that subsequence in Lqb to get a further subsequence converging a.e. to Tbf. Choosing representatives and taking the countable union of their measurable null discrepancies makes the two pointwise limits comparable on one conull set. Uniqueness of complex pointwise limits gives Taf=Tbf as classes. The supplier covers q=infinity as well.

F2F4step 2.1step 1.2
4.1

If f0+f1=g0+g1 with endpoint components, then h=f0g0=g1f1 lies in Lp0Lp1. Agreement gives T0h=T1h, so T0f0+T1f1=T0g0+T1g1. Componentwise addition and scalar multiplication prove linearity of this sum map.

step 2.1step 3.1
5.1

If p0p1 and fLpθ, split u=f1{f>1}, v=f1{f1}. For t>0, ts=exp(slogt); since exp is increasing and exp(0)=1, logt has the sign of t1. Thus powers increase with the exponent for t>1 and decrease for 0<t1; at t=0 all positive powers are zero. On the first set fp0fpθ, and on the second fp1fpθ. Thus uLp0Lpθ and vLp1Lpθ. Pairwise agreement and linearity give Tθf=T0u+T1v. If p1<p0, reverse the endpoint labels in this split. If they coincide, f is already in both endpoint spaces. This proves the restriction assertion for all theta, including the endpoints.

step 2.1step 3.1step 4.1F10F11F12
CorollaryStatement: AI-adaptedProof: AI-adaptedjudge pass (gpt-5.6-terra)audited 2026-09-10Open item page →

Interpolate L1 to Linfinity and L2 to L2 bounds

Statement

On sigma-finite measure spaces suppose a complex-linear finite-simple-core operator satisfies TfAf1 and Tf2Bf2, for finite A,B0. For 1<p<2, with 1/p+1/p=1, TfpA2/p1B22/pfp. At p=1 and p=2 retain the respective given estimates. Under countable choice these maps have the unique compatible bounded extensions to the full Lp spaces.

Facts & Assumptions

[F1]

The core interpolation bound holds at reciprocal-affine exponents on sigma-finite spaces Riesz–Thorin estimate on the finite simple core.

[F2]

Conjugacy means reciprocal exponents sum to one, with reciprocal infinity zero Conjugate exponents, including the endpoint conventions.

[F3]

Under countable choice the core bounds give unique compatible extensions Compatible extensions from the finite simple core.

[F4]

Countable choice is assumed only for the full-space extension conclusion The Axiom of Countable Choice (ACω).

Proof

Given: The objects and hypotheses in the statement.

1.1

For 1<p<2, set θ=22/p. Then 0<θ<1, (1θ)/1+θ/2=1/p, and (1θ)/+θ/2=11/p=1/p. Thus the core interpolation theorem with endpoints (1,) and (2,2) gives exactly A1θBθ=A2/p1B22/p and proves membership in Lp. Zero A or B is allowed because the interior powers are positive.

F1F2
2.1

At p=1 the target is infinity and at p=2 the target is two, so the asserted estimates are the respective hypotheses. Assuming countable choice, the compatible-extension result applies with finite source endpoint exponents 1 and 2 and the given sigma-finite spaces, providing the claimed unique bounded extensions and agreement.

F3F4step 1.1given

5 · Examples, counterexamples and false statements

None yet.

Sources