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Limited-angle visibility and instability — Examples and Counterexamples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Analyticity of Holomorphic Functions; Liouville and Morera
- Approximation and Compactness in C(K)
- Arc Length and Rectifiable Curves
- Areas of Elementary Plane Figures
- Binary Operations, Monoids, Groups and Subgroups
- Bochner Inversion and Plancherel on LCA Groups
- Bounded Variation and the Riemann–Stieltjes Integral
- Character Groups and Elementary LCA Duals
- Compactness
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Complex Coordinate and Path Transport
- Complex Differentiability and the Cauchy–Riemann Equations
- Complex Lp Spaces and Test-Function Conventions
- Complex Power Series and Analytic Functions
- Connectedness
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Continuity, IVT, EVT, and Uniform Continuity
- Contour Integration
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Countability Axioms and Cardinal Functions
- Darboux, L'Hôpital, and Taylor's Theorem
- Density Separability and Convolution in Lᵖ
- Determinants of Matrices over a Commutative Ring
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Euclidean Radon transform and filtered backprojection
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Finite Probability and the Probabilistic Method
- Foundations of the Real Numbers for Analysis
- Fourier Transform Convolution and Approximate Identities
- Fubini and Change of Variables
- Fundamental Trigonometric Identities
- Gaussian Elimination, Elementary Matrices and Reduced Row Echelon Form
- Goursat's Theorem and Cauchy's Theorem in a Convex Domain
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Haar Measure Existence and Uniqueness
- Hausdorff via the Diagonal
- Hereditary and Productive Behaviour of the Separation Axioms
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Improper and Parameter-Dependent Multiple Integrals
- Improper Integrals
- Inner Product Spaces, Gram-Schmidt, Projections and Adjoints
- Inverse maps, identifiability, and stability
- Lebesgue Measure on Euclidean Space
- Limited-angle visibility and instability
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Line Integrals and the Gradient Theorem
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Matrices, the Matrix of a Linear Map, and Change of Basis
- Measurable Functions and Simple Approximation
- Measures and Their Basic Properties
- Metric Spaces
- Mixed Partials, Taylor Formulae, and Extrema
- Modes of Convergence Egorov and Lusin
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Normal Subgroups and Quotient Groups
- Order, Zorn's Lemma, and the Axiom of Choice
- Orthonormal Bases, Parseval and Fourier Series
- Outer Measure and the Caratheodory Extension Theorem
- Partitions of Unity and Paracompactness
- Pointwise Extended-Real Function Products
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- Product Measures and the Fubini Tonelli Theorems
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- Relations, Functions, and Quotients
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- Rⁿ as a Normed Space; Vector-Valued Functions
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- Schwartz Space and the Plancherel Theorem
- Separation Axioms: the Hierarchy
- Sequences and Limits
- Sequences and Series of Functions; Uniform Convergence
- Series: Convergence and the Nonnegative Tests
- Sigma Algebras and Borel Sets
- Simple Field Extensions and the Construction of the Complex Numbers
- Sine, Cosine, and the Definition of Pi
- Smooth Partitions of Unity and Exhaustions
- Subspaces, Products, and Quotients
- Suprema and Infima
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- The Ascoli–Arzelà Theorem
- The Cantor Set, Baire Category, and Measure Zero in ℝ
- The Complex Exponential and Euler's Formula
- The Derivative and the Mean Value Theorems
- The Exponential Function
- The Fundamental Group of the Circle
- The Fundamental Theorems of Calculus
- The Identity Theorem, the Maximum Principle and the Open Mapping Theorem
- The Inverse and Implicit Function Theorems
- The Lebesgue and Riemann Integrals Compared
- The Lebesgue Integral and the Convergence Theorems
- The Logarithm and General Powers
- The Lᵖ Spaces Holder Minkowski and Riesz Fischer
- The Maximal Function and Lebesgue Differentiation
- The Riemann Integral in Rᵐ and Jordan Content
- The Riemann Integral: Definition and Integrability
- The Topology of Euclidean Space
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- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Topology of ℝ
- Triangularisation, Generalised Eigenspaces and Jordan Canonical Form
- Uniform Spaces: the Three Definitions
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Logical flowchart
3 · Definitions, theorems and proofs
None yet.
4 · Examples, counterexamples and false statements
A compactly supported bump remains uniquely determined from limited angles
Example
Let be a nonempty proper open antipodally symmetric set whose complement contains a nonempty open arc. Write and define the line Radon integral by using the compact-support Riemann integral in . Choose a smooth function supported in and equal to one on . For every , equality of the restricted line data for all and forces . The Fourier-Laplace transforms of these compactly supported functions are entire in each complex frequency coordinate, so their agreement on the measured open wedge determines their values at every real frequency. In particular, is not identically zero.
Example references
Measured Fourier wedge and blind directions
Compact-support entire Fourier-Laplace transform
Choice-free compact-support uniqueness from an open set of angles
Mikko Salo, On geometric inverse problems and microlocal analysis, §2.1
Venkataswaran P. Krishnan and Eric Todd Quinto, Microlocal Analysis in Tomography, §1.3.2
Facts & Assumptions
Given: The set , a smooth bump supported in and equal to one on , and a compactly supported smooth function with the same restricted line data as .
Visible covectors for limited-angle data: the Fourier wedge of measured line normals is , a nonempty open sector when is nonempty and open.
A smooth bump between concentric Euclidean balls: a smooth compactly supported function equal to one on a smaller concentric ball and supported in a larger ball exists.
The compact-support Fourier-Laplace transform is entire in each coordinate: the compact-support Riemann Fourier-Laplace transform is entire in each coordinate and restricts to the usual compact-support Fourier transform on real frequencies.
The Fourier-slice identity for the Euclidean Radon transform: with the compact-support Riemann line-integral convention, the Fourier transform of Radon data equals the object Fourier transform on the ray .
Compactly supported smooth functions are unique from any open set of Radon angles: zero limited-angle data for a compactly supported smooth function force that function to vanish everywhere, by the choice-free analytic-continuation argument.
Verification
The ball contains a smaller concentric ball, so [F2] supplies a bump with the stated support and plateau. It is nonzero because it equals one on the nonempty inner ball.
If has the same restricted data as , linearity of the line integral gives for every measured pair. By [F4], the Fourier transforms of and agree on ; [F3] identifies these values as restrictions of their coordinate-entire Fourier-Laplace transforms. Applying [F5] to the compactly supported difference gives everywhere.
If the data of were zero, [F5] would imply , contradicting its value one on . Thus its restricted data are nonzero while uniquely determining it in the stated compact-support class.
Rapid oscillations make limited-angle data smaller than every power
Example
Assume the Axiom of Countable Choice. Take , , , and . Write and define for , . Give the data space the norm , with arc-length measure and Lebesgue measure , and define using Lebesgue measure on . Then is open and antipodally symmetric, its complement contains open horizontal arcs, and . For every , the class of smooth functions supported in with norm at most has no uniform Hölder stability estimate from the restricted Radon data. More explicitly, choose a real bump with , set , and let for integers . These functions have the same compact support, satisfy and , while for every integer there is with .
Example references
Facts & Assumptions
Given: The Axiom of Countable Choice and the stated domain , fixed support , measured normals , direction , and bump .
Visible covectors for limited-angle data: is the unit line tangent, so for one has .
A smooth bump between concentric Euclidean balls: a smooth bump supported in and equal to one on a smaller ball exists.
A box in with parameters is Lebesgue measurable of measure , whichever of its faces are included: a nondegenerate box has strictly positive Lebesgue measure, so a bump equal to one on a ball has positive norm and can be normalized.
Limited-angle inversion has no Hölder modulus on a fixed-support H1 ball: if a fixed-support bump is normalized in and is uniformly bounded below on , its modulations have norm bounded by and restricted data bounded by for every ; this is the proposition's proved integration-by-parts estimate.
The Axiom of Countable Choice (): Countable Choice is used in the box-measure supplier [F3] and in [F4]'s Lebesgue change-of-variables and integration-by-parts estimates.
Verification
The set is the inverse image of the open interval under the continuous coordinate map , so it is open; changing to preserves , so it is antipodally symmetric. Its complement contains arcs around and . For every , , hence the infimum is at least ; approaching either boundary shows the infimum is exactly . By [F1] this is .
A translated or rescaled bump from [F2] has compact support in and equals one on a smaller ball. That inner ball contains a nondegenerate box, which has positive measure by [F3]; compact support makes its norm finite, and the plateau makes the norm positive. Divide by this norm to obtain the required real with . Since lies inside , its support is contained in the fixed set .
The formula in the Example is the modulation family in [F4]. The chosen satisfies , and the geometric verification in step 1.1 supplies the positive lower bound required there. Thus the family has the stated fixed support, and bounds, and rapid restricted-data decay.
If a uniform Hölder estimate with exponent and constant held on the fixed-support class, choose an integer with . Step 2.1 would imply , so , contradicting . Therefore no such estimate holds.
A nonzero Schwartz function invisible to a limited-angle Radon transform
Example
Assume the Axiom of Countable Choice. Let be a nonempty proper open antipodally symmetric set such that contains a nonempty open arc. Choose an open arc with , put , choose a nonzero smooth function , and define . For write and, for a Schwartz function , define using Lebesgue measure . Let , where is arc-length measure and is Lebesgue measure. Then is a nonzero Schwartz function in with Lebesgue measure, its Fourier transform is , and for every and , so both and give datum in without either truth being required to have compact support. For the two-truth class with target loss , every deterministic estimator satisfies .
Example references
Facts & Assumptions
Given: The Axiom of Countable Choice, the normal set , the blind arc , the annular sector , and the nonzero smooth function supported in from the Example.
Visible covectors for limited-angle data: , while the directions in are unmeasured.
A smooth bump between concentric Euclidean balls: every nonempty open ball contains a nonzero smooth compactly supported function, by translating and rescaling a concentric bump.
Fourier transform acts continuously on Schwartz space: under Countable Choice the negative-sign, -normalized Fourier transform maps Schwartz functions to Schwartz functions.
Fourier inversion on Schwartz space: under Countable Choice, for every Schwartz function .
Fourier transform on complex L1 classes: for integrable .
A C^1 diffeomorphism satisfies the change-of-variables formula for L^1 functions: under Countable Choice, the reflection preserves Lebesgue integrals because its absolute determinant is one.
Schwartz derivatives are integrable: under Countable Choice every Schwartz function belongs to for each .
Fourier-slice identity for Schwartz inputs: under Countable Choice, for Schwartz .
The Radon transform maps Schwartz functions to Schwartz offset data: for fixed , is a Schwartz function.
The norm descends to the quotient and makes a normed space for : the quotient norm is a norm and gives the triangle inequality and separation.
Kernel directions preclude unrestricted recovery: if two truths share one exact datum, every deterministic data-only estimator has maximum target loss at least half their target distance.
Metric space: iff , symmetry, and the triangle inequality; pseudometric and ultrametric: a metric satisfies separation (M1), symmetry (M2), and the triangle inequality (M3); the metric induced by an norm here is .
The Axiom of Countable Choice (): Countable Choice is assumed by the Fourier transform, inversion, Lp integrability, Fourier-slice, and Lebesgue substitution suppliers [F3], [F4], [F6]–[F9].
Verification
The sector is a nonempty open subset of because maps the open parameter set to an open polar-coordinate sector. It therefore contains a ball; [F2] supplies a nonzero . This establishes the required bump choice.
By the Fourier definition [F5], the function in the Example is . Since is smooth with compact support, every Schwartz seminorm of is bounded, so . By [F3] its transform is Schwartz, and reflection preserves each Schwartz seminorm up to sign, hence is Schwartz; [F7] gives . The reflection substitution [F6] and inversion [F4] give . Since , this identity implies is nonzero as an and class.
For and , the point is outside the support of because every frequency in has direction in and is disjoint from ; also since avoids the origin. Thus [F8] gives for all real . By [F9], the offset function is Schwartz, so Fourier inversion [F4] in one dimension gives for every .
Let the parameter and target metric spaces both be with distance , let the admissible truth class be , and let the target map be inclusion. Give the data space its norm metric and define by the restricted line integrals. The normed-space result [F10] and the metric axioms [F12] give the parameter, target, and data metrics used here. Theorem [F11] applies directly to this truth class and target map. Step 1.3 gives , while step 1.2 gives . Apply [F11] with shared datum and radius to any deterministic estimator ; its maximum target loss is at least . This proves the asserted lower bound on the stated two-truth class.