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Limited-angle visibility and instability

1 · Prerequisites

2 · Logical flowchart

3 · Definitions, theorems and proofs

LemmaStatement: Literature-sourcedProof: AI-generatedjudge pass (gpt-6-luna)verified 2026-10-22 (gpt-6.1-sol)Open item page →

The compact-support Fourier-Laplace transform is entire in each coordinate

Statement

Let f∈Cc∞(R2;C) and, for z=(z1,z2)∈C2, define F(z)=∫R2f(x)e−2πi(x1z1+x2z2) dx using the compact-support Riemann integral on any rectangle containing supp⁡f. This value is independent of the containing rectangle. Each coordinate slice of F is entire, with ∂F∂zj(z)=∫R2(−2πixj)f(x)e−2πix⋅z dx for j=1,2, and the restriction of F to R2 is the compact-support Fourier transform in the stated line-normal convention. The proof uses no Countable Choice.

Facts & Assumptions

Given: A compactly supported smooth complex function f on R2, a rectangle containing its support, and a complex frequency z∈C2.

[F1]

The Euclidean Radon transform on R²: the compact-support Fourier transform uses e−2πix⋅ξ and is defined by a compact-support Riemann integral.

[F2]

Every continuous function on a closed nondegenerate rectangle in Rm is Riemann integrable: each continuous real function on a nondegenerate closed rectangle is Riemann integrable; apply this to real and imaginary parts.

[F3]

The complex exponential is entire and its complex derivative is itself: the complex exponential is entire with derivative itself, so (ew−1)/w→1 as w→0.

[F4]

Linearity, monotonicity, the absolute-value estimate and coordinate-slice additivity for the Riemann integral in Rm: the Riemann integral is linear and its absolute-value estimate bounds an integral by the rectangle volume times a uniform bound; for complex functions apply the real estimate to both components.

[F5]

Proof

1.1F1F2givenchoose

Choose a nondegenerate closed rectangle B containing supp⁡f. For every z∈C2, the integrand x↦f(x)e−2πix⋅z is continuous on B, so [F2] makes its real and imaginary parts Riemann integrable. It vanishes outside supp⁡f; hence enlarging B changes the integral only by adding regions on which the integrand is zero. This proves existence and independence of the containing rectangle.

1.2F2F3F4given

Fix j∈{1,2}, fix the other complex coordinate, and let h∈C∖{0}. By [F4], the coordinate difference quotient is the integral over B of f(x)e−2πix⋅z(e−2πixjh−1)/h. The coordinate xj is bounded on B; [F3] therefore makes (e−2πixjh−1)/h converge uniformly on B to −2πixj as h→0. Multiplication by the fixed bounded continuous factor f(x)e−2πix⋅z preserves uniform convergence, and [F4] passes the real and imaginary integrals to their limits. Thus the coordinate derivative exists and is the displayed integral. Since the other coordinate and the point were arbitrary, every coordinate slice is complex differentiable everywhere.

2.1F1F5step 1.1step 1.2∎

By [F5], each coordinate slice is entire. At real z=ξ, the defining integral is exactly the compact-support Fourier integral of [F1], so F(ξ)=f^(ξ). This proves all claims without using a Lebesgue/Riemann identification theorem or Countable Choice.

DefinitionDefinition: AI-adaptedProof: Not applicablejudge pass (gpt-6-luna)verified 2026-10-22 (gpt-6.1-sol)Open item page →

Visible covectors for limited-angle data

Definition

Let Θ⊂S1 be a nonempty proper open set of line normals, assume θ∈Θ if and only if −θ∈Θ, and assume S1∖Θ‾ contains a nonempty open arc. The measured line with normal θ and signed offset s is ℓθ,s={y∈R2:y⋅θ=s}. Identify the nonzero cotangent vectors of the Euclidean plane with pairs (x,ξ)∈R2×(R2∖{0}). Such a covector is visible from Θ when ξ/∣ξ∣∈Θ, and invisible when ξ/∣ξ∣∉Θ. The associated measured Fourier wedge is

WΘ={σθ:θ∈Θ, σ∈R∖{0}}.

Geometric diagram

This schematic chooses one open measured arc J and its antipode on S1. Their open radial sectors form the corresponding part of WΘ; the dashed blue boundary rays are excluded, the orange horizontal sectors illustrate unmeasured arcs, and the origin is excluded from the measured wedge. For general Θ, take the union of the open sectors generated by all its arcs. The picture fixes the angle convention only; every claim above is stated and proved algebraically.

»1»2W£blindarc0=2W£
DefinitionDefinition: AI-adaptedProof: Not applicablejudge pass (gpt-6-luna)verified 2026-10-22 (gpt-6.1-sol)Open item page →

Radon transform on Schwartz functions

Definition

For f∈S(R2), θ=(θ1,θ2)∈S1, s∈R, and θ⊥=(−θ2,θ1), define RSf(θ,s)=∫Rf(sθ+tθ⊥) dt, where the absolutely convergent integral is with respect to one-dimensional Lebesgue measure. Here S(R2) is the space of smooth complex functions for which every seminorm sup⁡x∈R2∣xα∂βf(x)∣, for multi-indices α,β, is finite. The parameter θ is the unit normal to the line, so (θ,s) and (−θ,−s) represent the same unoriented line. Under the Axiom of Countable Choice, the Lebesgue integral in this definition agrees on compactly supported smooth inputs with the compact-support Riemann line integral, so the normalization is the same.

LemmaStatement: Literature-sourcedProof: AI-generatedjudge pass (gpt-6-luna)verified 2026-10-22 (gpt-6.1-sol)Open item page →

The Radon transform maps Schwartz functions to Schwartz offset data

Statement

For every f∈S(R2) and every θ∈S1, the defining line integral for RSf(θ,s) converges absolutely for every s∈R, and s↦RSf(θ,s) belongs to S(R). For each pair of nonnegative integers k,N, its kth derivative is bounded by Ck,N(1+∣s∣)−N with a finite constant Ck,N independent of s and θ.

Facts & Assumptions

Given: f∈S(R2) and θ∈S1.

[F1]

Schwartz space and its seminorms: every seminorm pαβ(f)=sup⁡x∣xα∂βf(x)∣ is finite.

[F2]

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

[F3]

Differentiation under the integral sign: if each parameter slice is integrable, the integrand is differentiable in the parameter almost everywhere, its derivative is measurable, and the derivatives have one integrable majorant uniform in the parameter interval, then the integral is differentiable with derivative equal to the integral of the derivative.

[F4]

The chain rule for total derivatives: D(g∘f)(a)=Dg(f(a))∘Df(a): the derivative of a composition of totally differentiable Euclidean maps is the composition of their derivatives.

[F5]

The mean value theorem, as the case g(x)=x of Cauchy's: for f continuous on [a,b] with a<b and differentiable on (a,b) there is c∈(a,b) with f(b)−f(a)=f′(c)(b−a): for a real differentiable function on an interval, its increment equals an interior derivative times the interval length; apply to real and imaginary parts for complex functions.

Proof

1.1givenF1F2algebra

Fix a derivative multi-index β and an integer N≥1, and choose an integer m≥N. Since (1+∣x∣)N≤(1+∣x1∣)m(1+∣x2∣)m, expanding the right side and using the finite Schwartz seminorms in [F1] gives a finite Cβ,N(f) with ∣∂βf(x)∣≤Cβ,N(f)(1+∣x∣)−N. For x=sθ+tθ⊥, orthogonality gives ∣x∣=(s2+t2)1/2≥(∣s∣+∣t∣)/2, so the line integrand is bounded by a constant times (1+∣s∣+∣t∣)−N. Taking N>1 makes this majorant integrable in t, proving absolute convergence.

2.1F1F2F4step 1.1algebra

Let Dθ=θ⋅∇. The chain rule [F4] gives ∂skf(sθ+tθ⊥)=(Dθkf)(sθ+tθ⊥). Expanding Dθk gives finitely many partial derivatives with coefficients bounded uniformly for θ∈S1. For the target decay order N, apply step 1.1 with spatial decay order N+2 to each such derivative. Integrating (1+∣s∣+∣t∣)−N−2 in t gives ∣∫R(Dθkf)(sθ+tθ⊥) dt∣≤Ck,N′(1+∣s∣)−N−1≤Ck,N′(1+∣s∣)−N, uniformly in θ and s.

3.1F3F4F5step 1.1step 2.1∎

Fix s0∈R and a bounded open interval I containing s0. For each k≥0, set gk(t,s)=(Dθkf)(sθ+tθ⊥). Every slice gk(⋅,s) is integrable by step 1.1; it is differentiable in s with derivative gk+1 by [F4], and this derivative is measurable. Step 1.1 with spatial decay order 3 bounds ∣gk+1(t,s)∣≤C(1+∣t∣)−3 uniformly for s∈I, an integrable majorant. Thus [F3] proves dds∫gk(t,s) dt=∫gk+1(t,s) dt. To see each resulting derivative is continuous, if s=s′ the difference is zero; otherwise apply [F5] to real and imaginary parts on the segment joining s and s′. The same majorant gives ∣gk(t,s)−gk(t,s′)∣≤C∣s−s′∣(1+∣t∣)−3, and integration proves local continuity. Repeating for all k and using the estimates in step 2.1 shows the offset function is Schwartz.

LemmaStatement: Literature-sourcedProof: AI-generatedjudge pass (gpt-6-luna)verified 2026-10-22 (gpt-6.1-sol)Open item page →

Restricted Radon data are square-integrable on fixed compact support

Statement

Assume the Axiom of Countable Choice. Let Ω⊂R2 be a nonempty bounded open set, let Θ⊂S1 be measurable, and use arc-length measure dθ on S1. For every f∈Cc∞(Ω;C), the function (θ,s)↦RSf(θ,s) belongs to L2(Θ×R,dθ ds) and satisfies ∥RSf∥L2(Θ×R)2≤diam⁡(Ω) ∣Θ∣ ∥f∥L2(R2)2.

Facts & Assumptions

Given: The Axiom of Countable Choice, a nonempty bounded open set Ω⊂R2, a measurable Θ⊂S1, and f∈Cc∞(Ω;C).

[F1]

Radon transform on Schwartz functions: the data on the line with normal θ and offset s is ∫Rf(sθ+tθ⊥) dt.

[F2]

Cauchy-Schwarz inequality for L2: for square-integrable functions u,v, ∫∣uv∣≤∥u∥2∥v∥2.

[F3]

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

[F4]

Fubini's theorem for L^1 functions on a sigma-finite product: absolutely integrable functions on product spaces satisfy the iterated-integral formula.

[A1]

The Axiom of Countable Choice (ACω): Countable Choice is used by [F3] for the Lebesgue change-of-variables formula; the remaining estimates are direct.

Proof

1.1F1givenconstruct

Choose R>0 with supp⁡f⊆B‾R(0). If ∣t∣>R, then ∣sθ+tθ⊥∣≥∣t∣>R and the integrand in [F1] is zero. On any compact set of (θ,s), uniform continuity of f on the compact image of (s,θ,t) for ∣t∣≤R shows that the line integrals vary continuously: the difference of two such integrals is at most 2R times the uniform difference of their integrands. Hence the data function is continuous and measurable.

1.2F1F2given

Put D=diam⁡(Ω) and Tθ,s={t∈R:sθ+tθ⊥∈Ω}. Any two points of Tθ,s differ by at most D, so this open set is contained in an interval of length at most D. Cauchy--Schwarz [F2] on Tθ,s, where the constant function 1 has squared integral at most D, gives ∣RSf(θ,s)∣2≤D∫R∣f(sθ+tθ⊥)∣2 dt.

2.1F3F4A1step 1.2∎

The function (θ,s,t)↦∣f(sθ+tθ⊥)∣2 is bounded and vanishes unless ∣s∣,∣t∣≤R, so it is integrable on the finite-measure set Θ×[−R,R]2. Apply [F4] to exchange the iterated integrals, and for each θ apply [F3] to the orthogonal diffeomorphism (s,t)↦sθ+tθ⊥, whose absolute Jacobian is one. This gives ∫Θ∫R2∣f(sθ+tθ⊥)∣2 ds dt dθ=∣Θ∣ ∥f∥L2(R2)2. Integrating step 1.2 yields the claimed bound and square-integrability.

CorollaryStatement: Literature-sourcedProof: AI-generatedverified 2026-10-22 (gpt-6.1-sol)Open item page →

Compactly supported smooth functions are unique from any open set of Radon angles

Statement

Let Θ⊂S1 be a nonempty open set of unit line normals and let f∈Cc∞(R2;C). If the line integral Rf(θ,s) is zero for every θ∈Θ and s∈R, then f is zero everywhere. The assertion holds without Countable Choice.

Facts & Assumptions

Given: A nonempty open set Θ⊂S1, a compactly supported smooth complex function f, and the hypothesis Rf(θ,s)=0 for every measured normal and offset.

[F1]

For this proof, put WΘ={σθ:θ∈Θ, σ∈R∖{0}}. Since Θ is nonempty and open, it contains an open arc J, and the positive-radius sector {rθ:r>0, θ∈J} is a nonempty open subset of WΘ.

[F2]

The Fourier-slice identity for the Euclidean Radon transform: for compactly supported smooth input and the line-normal convention, Rf^(θ,σ)=f^(σθ) for all real σ; the supplier proof uses no Countable Choice.

[F3]

The compact-support Fourier-Laplace transform is entire in each coordinate: the compact-support Riemann Fourier-Laplace transform of a smooth compactly supported function is entire in each coordinate, with coordinate derivatives given by integrals with polynomial factors; the proof is choice-free.

[F4]

Linearity, monotonicity, the absolute-value estimate and coordinate-slice additivity for the Riemann integral in Rm: the real Riemann integral is linear, monotone, and bounded by volume times a uniform absolute bound; apply it componentwise to complex functions.

[F5]

Identity theorem for holomorphic functions: a holomorphic function on a connected domain that vanishes on a set with an accumulation point in the domain vanishes everywhere.

[F6]

Real Stone--Weierstrass theorem for compact metric spaces: real polynomials on a compact subset of R2 are dense in its real continuous functions because they form a unital point-separating algebra.

Proof

1.1F1F2F3F5givenchoose

The hypothesis and the compact-support Fourier-slice identity [F2] give f^(σθ)=0 for every θ∈Θ and σ∈R. By [F1], this includes the nonempty open positive-radius sector generated by J; choose a product of open real intervals I1×I2 inside that sector. For each real ξ2∈I2, the entire function z1↦f^(z1,ξ2) vanishes on I1, so [F5] makes it zero for every complex z1. Then for every real ξ1 the entire second-coordinate slice vanishes on I2, and [F5] makes it zero everywhere. Thus f^ vanishes on all of R2.

2.1F3F4F6givenstep 1.1∎

Let K=supp⁡f. If K=∅, then f=0. Otherwise, fix a rectangle B whose interior contains K and interpret all integrals below as compact-support Riemann integrals over B. Repeated use of the coordinate derivative formula in [F3] shows ∫Bxαf(x) dx=0 for every multi-index α, since all real-frequency derivatives of f^ vanish at the origin. The real polynomials restricted to K form a unital subalgebra separating points, because the coordinate functions distinguish distinct points. For an arbitrary ε>0, apply [F6] separately to Re⁡f‾ and Im⁡f‾ with error ε/2 and combine the two real polynomials into one complex polynomial p with ∥p−f‾∥C(K)<ε. Every moment is zero, so ∫Bfp=0. Since f=0 outside K, the real Riemann integral bound [F4] on both components gives 0≤∫B∣f∣2=∣∫Bf(f‾−p)∣≤2 vol⁡(B)∥f∥C(B)ε. As this holds for every ε>0, ∫B∣f∣2=0; no sequence of approximants is selected. If f were nonzero at a point, continuity would bound ∣f∣2 below by a positive number on a nondegenerate box inside B, forcing its nonnegative Riemann integral to be positive. Thus f=0 everywhere. This proof uses neither Fourier inversion nor Countable Choice.

PropositionStatement: Literature-sourcedProof: AI-generatedjudge pass (gpt-6-luna)verified 2026-10-22 (gpt-6.1-sol)Open item page →

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.

LemmaStatement: Literature-sourcedProof: AI-generatedverified 2026-10-22 (gpt-6.1-sol)Open item page →

Fourier-slice identity for Schwartz inputs

Statement

Assume the Axiom of Countable Choice. For every f∈S(R2), θ∈S1, and σ∈R, the one-dimensional Fourier transform in the offset variable, using the phase e−2πisσ, satisfies RSf^(θ,σ)=f^(σθ), where the two-dimensional transform uses the phase e−2πix⋅ξ. On compactly supported smooth inputs the formula has the same line parameterization and normalization as the Euclidean Radon transform.

Facts & Assumptions

Given: f∈S(R2), θ∈S1, and σ∈R.

[F1]

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

[F2]

The Radon transform maps Schwartz functions to Schwartz offset data: for fixed θ, the offset function is Schwartz and its line integral is absolutely convergent.

[F3]

Fourier transform on complex L1 classes: g^(ξ)=∫Rng(x)e−2πix⋅ξ dx for integrable g.

[F4]

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

[F5]

Dominated convergence: pointwise convergence under a single integrable majorant permits passage to the limit under an integral.

[F6]

Fubini's theorem for L^1 functions on a sigma-finite product: an absolutely integrable function on a product of sigma-finite measure spaces has integrable sections almost everywhere and its iterated integrals equal its product integral.

[F7]

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

[F8]

Schwartz derivatives are integrable: under Countable Choice every Schwartz function and each of its derivatives is in L1.

[A1]

The Axiom of Countable Choice (ACω): Countable Choice is assumed for the compact-support Lebesgue/Riemann compatibility in [F1], the Lebesgue change-of-variables supplier [F7], and Schwartz integrability [F8].

Proof

1.1A1F1F2F3F6F8given

The Schwartz seminorms and the estimate proved in The Radon transform maps Schwartz functions to Schwartz offset data give ∣f(sθ+tθ⊥)∣≤CN(1+∣s∣+∣t∣)−N for every N, after changing the constant. For N>2 this is integrable on R2 in (s,t). The offset integral is absolutely convergent, and [F6] applied to the absolutely integrable function f(sθ+tθ⊥)e−2πiσs yields RSf^(θ,σ)=∫R2f(sθ+tθ⊥)e−2πiσs ds dt. The Lebesgue Fourier-transform definitions in [F3] are applicable by [F8].

1.2F4F7A1given

Choose a smooth radial cutoff χR equal to one on the radius-R ball and supported in the radius-2R ball, using [F4], and put fR=χRf. Then fR∈Cc∞(R2). The matrix with columns θ,θ⊥ is a positively oriented orthogonal matrix, so its determinant is one. Apply the Lebesgue change-of-variables formula [F7] to the integrable compactly supported function x↦fR(x)e−2πiσx⋅θ and the map (s,t)↦sθ+tθ⊥; its pullback integral is ∫R2fR(sθ+tθ⊥)e−2πiσs ds dt=fR^(σθ).

2.1A1F5F8step 1.1step 1.2∎

As R→∞, fR(x)→f(x) and ∣fR(x)∣≤∣f(x)∣. The function f is integrable by [F8], and the same Schwartz estimate in (s,t) gives an integrable majorant for fR(sθ+tθ⊥). Dominated convergence [F5] passes both integrals in step 1.2 to their limits; step 1.1 identifies the data-side limit with RSf^(θ,σ), while the spatial-side limit is f^(σθ). This proves the formula.

PropositionStatement: Literature-sourcedProof: AI-generatedjudge pass (gpt-6-luna)verified 2026-10-22 (gpt-6.1-sol)Open item page →

Limited-angle data sample the visible Fourier wedge and zero frequency

Statement

Assume the Axiom of Countable Choice. Let Θ⊂S1 be a nonempty proper open antipodally symmetric set whose complement contains a nonempty open arc, and let WΘ={σθ:θ∈Θ, σ∈R∖{0}}. For f∈S(R2) and every measured normal θ∈Θ, the one-dimensional Fourier transform in the offset variable obeys RSf^(θ,σ)=f^(σθ) for all σ∈R. In particular, zero restricted data imply that f^ vanishes on WΘ. If in addition f∈Cc∞(R2), zero restricted data imply f=0 everywhere. For compactly supported inputs, the stated Countable Choice assumption identifies the Lebesgue line integrals here with the compact-support Riemann convention; the compact-support Fourier-slice and uniqueness results in that convention are proved without Countable Choice.

Facts & Assumptions

Given: The set Θ, WΘ, and a function f∈S(R2); in the compact-support conclusion also f∈Cc∞(R2) and RSf(θ,s)=0 for every θ∈Θ and s∈R.

[F1]

Visible covectors for limited-angle data: the measured Fourier wedge is WΘ={σθ:θ∈Θ, σ≠0}.

[F2]

Radon transform on Schwartz functions: RSf(θ,s)=∫Rf(sθ+tθ⊥) dt with Lebesgue measure; under Countable Choice, this agrees on compactly supported smooth inputs with the compact-support Riemann line integral.

[F3]

Fourier-slice identity for Schwartz inputs: for f∈S, RSf^(θ,σ)=f^(σθ).

[F4]

The Fourier-slice identity for the Euclidean Radon transform: for f∈Cc∞ and the IP-36 normalization, the same compact-support Fourier-slice identity holds.

[F5]

Compactly supported smooth functions are unique from any open set of Radon angles: compactly supported smooth functions with zero data on a nonempty open set of line normals vanish everywhere; the proof uses the Riemann Fourier-Laplace transform and no Countable Choice.

[A1]

The Axiom of Countable Choice (ACω): Countable Choice is used by [F2] to identify the compact-support line-integral conventions and by [F3] for the general Schwartz Fourier-slice formula. The compact-support Fourier-slice and uniqueness results [F4]–[F5] themselves are choice-free in the Riemann convention.

Proof

1.1givenF1F2F3A1

For each θ∈Θ and σ∈R, [F3] gives the Fourier-slice identity. If the restricted data vanish, their one-dimensional Fourier transforms vanish, so f^(σθ)=0. Every point of WΘ has this form, hence f^ vanishes on WΘ.

2.1F2F4F5given∎

Now assume f∈Cc∞ and its restricted data are zero. By [F2] and the stated Countable Choice assumption, those data use the compact-support Riemann line-integral convention. The compact-support Fourier-slice identity [F4] gives f^(σθ)=0 for every θ∈Θ and σ∈R, so the transform vanishes on the measured wedge. The compact-support uniqueness result [F5] then yields f=0 everywhere through its separate choice-free analytic-continuation proof.

Open problemQuestion: AI-adaptedProof: Not applicable‡ sources checked 2026-10-22‡ 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.

Sharp deterministic stability for limited-angle reconstruction

Open problem

Assume the Axiom of Countable Choice. Let Ω⊂R2 be any bounded open set with nonempty interior, and let Θ⊂S1 be any nonempty proper open antipodally symmetric set whose complement contains a nonempty open arc. Write θ⊥=(−θ2,θ1) and define RΘf(θ,s)=∫Rf(sθ+tθ⊥) dt for θ∈Θ, s∈R. Equip L2(Θ×R) with the norm ∥g∥2=(∫Θ∫R∣g(θ,s)∣2 ds dθ)1/2, where ds is Lebesgue measure and dθ is arc-length measure, and equip L2(R2) with Lebesgue measure. The line data of every compactly supported smooth input are regarded as elements of this data space. For M>0 define KM(Ω)={f∈Cc∞(Ω;C):∥f∥H1≤M} with ∥f∥H12=∥f∥22+∥∂1f∥22+∥∂2f∥22. For deterministic noise radius δ>0, define the worst-case reconstruction error EΩ,Θ,M(δ)=inf⁡Φ:L2(Θ×R)→L2(R2)sup⁡f∈KM(Ω), η∈L2(Θ×R)∥η∥2≤δ∥Φ(RΘf+η)−f∥2. Determine the sharp asymptotic order of EΩ,Θ,M(δ) as δ↓0, with matching upper and lower bounds and a deterministic reconstruction rule attaining the upper bound, for every such Ω and Θ. In particular, determine the dependence of the sharp modulus on the geometry and aperture of the measured normal set.

Status

Status as of 2026-10-19: the broad deterministic minimax question above remains unresolved in the checked source record. Salo proves the full-angle Fourier-slice and compact-support uniqueness baseline. Krishnan and Quinto prove compact-support uniqueness for limited-angle data while exhibiting nonzero Schwartz null functions; they also describe the visible covector condition. The local results on this page establish a no-Hölder lower-bound mechanism for each fixed compact support and blind arc, but none of the checked sources supplies matching deterministic minimax bounds for every bounded Ω, every such Θ, and this fixed H1 ball. The analytic double-fibration result cited above is context only and is not a proof of this Euclidean noise question.

Related statistical result checked 2026-10-21: Hohmann and Holzmann, Corollary 3.2, proves the logarithmic minimax mean-squared risk rε(Θi(κ,L))∼(ξ/2)2κLlog⁡(1/ε)−2κ for 0<η<π/2, angle weight λ=1[−η,η], and γ>−1/2, in their Gaussian white-noise sequence model for the Radon SVD between weighted L2 spaces on the unit disk and detector space and over their spectral ellipsoid classes Θi(κ,L). Its model and parameter classes do not settle the deterministic adversarial L2-noise minimax error on the unweighted H1 class for arbitrary Ω and Θ posed here.

4 · Examples, counterexamples and false statements

None yet.

Sources