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PropositionStatement: Literature-sourcedProof: AI-generatedPipeline-generatedjudge pass (gpt-6-luna)verified 2026-10-22 (gpt-6.1-sol)
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Limited-angle inversion has no Hölder modulus on a fixed-support H1 ball

Statement

Assume the Axiom of Countable Choice. Let Ω⊂R2 be a bounded open set containing a closed ball K=B‾R(x0) of positive radius, and let Θ⊂S1 be a nonempty open antipodally symmetric set. Write θ⊥=(−θ2,θ1) and, for a Schwartz function g, define RSg(θ,s)=∫Rg(sθ+tθ⊥) dt; use the same integral for smooth functions supported in K. Suppose a unit vector v∈S1 satisfies c:=inf⁡θ∈Θ∣v⋅θ⊥∣>0. For each smooth complex function u supported in K, define ∥u∥H1:=(∥u∥22+∥∂1u∥22+∥∂2u∥22)1/2 using Lebesgue measure on R2, and set ∥RΘu∥D:=(∫Θ∫R∣RSu(θ,s)∣2 ds dθ)1/2, where ds is Lebesgue measure and dθ is arc-length measure. For every M>0 there are aM>0, functions uN∈Cc∞(int⁡K;C) for all integers N≥1, and constants Cm>0 for all integers m≥1, such that all uN have one fixed compact support and ∥uN∥H1≤M, ∥uN∥2=aMN−1, and ∥RΘuN∥D≤CmN−m−1. Consequently, for every fixed M>0, no α>0 and C≥0 satisfy ∥u∥2≤C∥RΘu∥Dα for every smooth u supported in K with ∥u∥H1≤M.

Facts & Assumptions

Given: The Axiom of Countable Choice, Ω, K, Θ, v, c>0, and the definitions and hypotheses in the Statement.

[F1]

Visible covectors for limited-angle data: θ is the unit line normal and θ⊥=(−θ2,θ1) is the line tangent direction.

[F2]

Radon transform on Schwartz functions: RSu(θ,s)=∫Ru(sθ+tθ⊥) dt.

[F3]

A smooth bump between concentric Euclidean balls: for 0<r<R, a smooth function equal to one on the closed radius-r ball and supported in the open radius-R ball exists.

[F4]

Cauchy-Schwarz inequality for L2: the integral of a product is bounded by the product of the two L2 norms.

[F5]

A C^1 diffeomorphism satisfies the change-of-variables formula for L^1 functions: under Countable Choice, a C1 diffeomorphism changes an L1 Lebesgue integral by the absolute Jacobian determinant.

[F6]

Complex integration by parts on intervals and decaying lines: under Countable Choice, complex C1 functions on a finite interval satisfy ∫u′v=[uv]−∫uv′.

[F8]

The chain rule for total derivatives: D(g∘f)(a)=Dg(f(a))∘Df(a): composing a smooth function with an affine line map differentiates by applying its differential to the line direction.

[F9]

The derivatives of sine and cosine are cosine and minus sine: differentiating cos⁡(at)+isin⁡(at) gives ia(cos⁡(at)+isin⁡(at)) by the real chain rule.

[F11]

Restricted Radon data are square-integrable on fixed compact support: for every smooth input with fixed compact support, the restricted data have finite L2(Θ×R) norm.

[A1]

The Axiom of Countable Choice (ACω): Countable Choice is used by the box-measure supplier [F10], L2 data bound [F11], Lebesgue change-of-variables [F5], and complex integration-by-parts [F6] suppliers.

Proof

1.1A1F3F7F8F9F10givenconstructalgebra

Choose 0<r<R and apply [F3] to obtain a bump supported in BR(x0) and equal to one on a smaller ball; translation of the concentric bump places it inside K. Its L2 norm is finite and positive because it is bounded with compact support and equals one on a ball containing a nondegenerate box, whose measure is positive by [F10]. Rescale it to a real-valued ψ with ∥ψ∥2=1. Choose λ>0 so that λ(1+∥∇ψ∥2+2π)≤M, and put uN(x)=λN−1e2πiNv⋅xψ(x). Then all supports equal supp⁡ψ⋐int⁡K and ∥uN∥2=λN−1. By [F7]–[F9], ∂juN=λN−1e2πiNv⋅x(∂jψ+2πiNvjψ), so ∥∇uN∥2≤λN−1∥∇ψ∥2+2πλ∥v∥ ∥ψ∥2≤λ(∥∇ψ∥2+2π). Therefore ∥uN∥H1≤M; set aM=λ.

1.2F1F2F6F8F9A1givenconstruct

Put a=v⋅θ⊥, so ∣a∣≥c>0. The line formula gives RSuN(θ,s)=λN−1e2πiNs(v⋅θ)∫Re2πiNatψ(sθ+tθ⊥) dt. For each integer m≥1, integrate the last integral by parts m times over an interval containing the support of its integrand. The boundary terms vanish because ψ and all its derivatives vanish near the endpoints. Applying [F6] repeatedly gives ∣∫Re2πiNatψ(sθ+tθ⊥) dt∣≤(2πN∣a∣)−m∫R∣(θ⊥⋅∇)mψ(sθ+tθ⊥)∣ dt.

2.1F4F5A1step 1.2algebra

Let D=diam⁡(supp⁡ψ). The set of t values on a fixed line meeting this support has measure at most D. Cauchy--Schwarz [F4] bounds the square of the last integral in step 1.2 by D∫R∣(θ⊥⋅∇)mψ(sθ+tθ⊥)∣2 dt. Integrate in s and apply [F5] to the orthogonal change of variables (s,t)↦sθ+tθ⊥, whose absolute Jacobian is one. Expanding (θ⊥⋅∇)m gives an L2 bound independent of θ, since there are finitely many derivatives and all coefficients are bounded by one. Since ∣a∣≥c and ∣Θ∣≤2π, step 1.2 yields a finite constant Cm>0, independent of N, with ∥RΘuN∥D≤CmN−m−1.

3.1A1F11step 1.1step 2.1algebra∎

Fix α>0 and choose an integer m≥1 with α(m+1)>1. The square-integrability bound [F11] makes the data norm finite for every member of the fixed-support class. If a uniform Hölder estimate with constant C≥0 held on the class in the Statement, steps 1.1 and 2.1 would give λN−1≤C(CmN−m−1)α for every N≥1. Multiplication by N makes the right side CCmαN1−α(m+1), which tends to zero as N→∞, contradicting λ>0. Therefore no such estimate exists.

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