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.
Spatial BV, finite perimeter, and TV conventions — Examples and Counterexamples
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Absolute Continuity and the Sharp Fundamental Theorem of Calculus
- Areas of Elementary Plane Figures
- Binary Operations, Monoids, Groups and Subgroups
- Bounded Variation and the Riemann–Stieltjes Integral
- Compactness
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Complex Norms and Realification
- Complexification, Realification and Real Structures
- 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
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Countability Axioms and Cardinal Functions
- Density Separability and Convolution in Lᵖ
- Determinants of Matrices over a Commutative Ring
- Differentiation of Monotone Functions and the Vitali Covering Theorem
- Distributions Test Functions and Differentiation
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Dual Spaces, Bilinear and Quadratic Forms, and Sylvester's Law of Inertia
- Euclidean Surface Measure, Divergence, and Green Identities
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Fubini and Change of Variables
- Gaussian Elimination, Elementary Matrices and Reduced Row Echelon Form
- Group Actions, Orbits, Stabilisers and Cayley's Theorem
- Hausdorff Measure and Hausdorff Dimension
- Hausdorff via the Diagonal
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Inner Product Spaces, Gram-Schmidt, Projections and Adjoints
- Lebesgue Measure on Euclidean Space
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- 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
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Normal Subgroups and Quotient Groups
- Norming and Separation under Hahn–Banach
- Order, Zorn's Lemma, and the Axiom of Choice
- Outer Measure and the Caratheodory Extension Theorem
- 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
- Properties of the Integral and the Working FTC
- Radon Measures and the Riesz Markov Kakutani Theorem
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- 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
- Signed and Complex Measures Hahn and Jordan
- Simple Field Extensions and the Construction of the Complex Numbers
- Smooth Partitions of Unity and Exhaustions
- Spatial BV, finite perimeter, and TV conventions
- Subspaces, Products, and Quotients
- Suprema and Infima
- Symmetric Groups, Cycle Decomposition and the Sign Homomorphism
- The Cantor Set, Baire Category, and Measure Zero in ℝ
- The Derivative and the Mean Value Theorems
- The Determinant of a Linear Operator, Cofactors and Cramer's Rule
- The Exponential Function
- 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 Radon Nikodym Theorem and Lebesgue Decomposition
- The Riemann Integral in Rᵐ and Jordan Content
- The Riemann Integral: Definition and Integrability
- The Topology of Euclidean Space
- The Total Derivative in ℝᵐ → ℝⁿ
- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Topology of ℝ
- Triangularisation, Generalised Eigenspaces and Jordan Canonical Form
- 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 smooth-curve jump has perimeter total variation
Example
Assume Countable Choice. For the unit disk , its indicator belongs to , its distributional derivative is where is the outward unit normal, and .
Example references
Facts & Assumptions
Given: Countable Choice, the open unit disk , and the distributional derivative convention for spatial BV.
Countable Choice is used for Lebesgue Fubini and the Riemann-to-Lebesgue integral comparison. (The Axiom of Countable Choice ())
For a scalar , the distributional derivative satisfies . (Spatial BV and distributional total variation)
For a BV function, its total variation equals the supremum of the integrals against compactly supported smooth vector fields with pointwise norm at most one; this clause is choice-free. (Test-field formula and L1 lower semicontinuity of spatial TV)
A smooth radial cutoff can equal one near a prescribed radius and vanish outside a slightly larger annulus. (A smooth bump between concentric Euclidean balls)
Fubini's theorem for integrable functions on sigma-finite product measure spaces identifies the disk integral with its coordinate-slice integrals. (Fubini's theorem for L^1 functions on a sigma-finite product)
Countable Choice makes Lebesgue measure on a Radon measure finite on the bounded disk. (Lebesgue measure is a Radon measure on R^n)
A bounded Riemann-integrable function on a compact interval has the same Lebesgue and Riemann integrals under Countable Choice. (A bounded Riemann integrable function on a closed bounded interval is Lebesgue measurable and has the same integral)
A continuous derivative is Riemann integrable and its interval integral is the endpoint difference. (A continuous function on is Riemann integrable, by Heine-Cantor and Riemann's criterion, The second fundamental theorem: if is differentiable on with and is integrable, then )
On a smooth curve, Hausdorff one-measure equals chart arclength and has graph density ; the normalization constant is . (Lipschitz graph area and calculus under Countable Choice, Chart and partition independence of surface measure)
Verification
Given: Countable Choice, the unit disk , and a smooth compactly supported vector field .
Extend by zero outside . It is integrable because it is bounded and supported in a finite-measure disk [F5]. Fubini [F4] expresses its integral as the integral over of the slice integrals over , where . Each slice integrand is continuous, so [F6] identifies its Lebesgue integral with its Riemann integral, and [F7] evaluates that integral as . In the right graph , [F8] gives and ; in the left graph , it gives and . Thus the slice difference equals . The same argument with the coordinates exchanged gives the second component, hence .
By the distributional derivative convention [F1], step 1.1 yields . The circle has finite arclength, so this is a finite vector Radon measure and .
The parametrization has speed one on , so . For every admissible test field, step 1.1 gives Choose a smooth radial cutoff supported in , with and , and set on that annulus and zero outside. By [F3] this is smooth, compactly supported and has norm at most one; on it equals . Its flux is . The supremum in [F2] is therefore exactly , proving the asserted total variation and perimeter.
An oscillatory L1-bounded sequence with unbounded spatial TV
Statement refuted
Assume Countable Choice. The assertion that every sequence in with bounded norms has uniformly bounded total variations is false. For let and define . Then , while the adjacent jumps have total magnitude .
Statement references
Facts & Assumptions
Given: Countable Choice, the interval , and the sequence of step functions defined above.
Countable Choice is used to identify interval Lebesgue integrals with their Riemann values and to use countably additive Lebesgue measure. (The Axiom of Countable Choice ())
Distributional derivatives use the negative-transpose test convention, and BV total variation is the mass of the derivative measure. (Spatial BV and distributional total variation)
For BV functions, total variation is the supremum over compactly supported smooth unit-bounded scalar test fields in one dimension; this clause is choice-free. (Test-field formula and L1 lower semicontinuity of spatial TV)
Smooth cutoffs supported in small intervals can be chosen equal to one at a prescribed interior point. (A smooth bump between concentric Euclidean balls)
Under Countable Choice, Lebesgue measure of a bounded interval is its length. (Lebesgue measure is a Radon measure on R^n)
A bounded Riemann-integrable function on a compact interval has the same Lebesgue and Riemann integrals. (A bounded Riemann integrable function on a closed bounded interval is Lebesgue measurable and has the same integral)
The integral of a continuous derivative over an interval is the endpoint difference. (A continuous function on is Riemann integrable, by Heine-Cantor and Riemann's criterion, The second fundamental theorem: if is differentiable on with and is integrable, then )
Counterexample
Given: The step functions and their pointwise limit on .
The intervals are disjoint and have Lebesgue measure by [F4], so . Integration by parts on each interval, justified by [F5] and [F6], shows that is an atomic signed measure: its jump at has magnitude , its interior jumps at have magnitude , and its jump at has magnitude . These are all jumps in , so and .
The sequence converges in to on each and on , since and its support lies in , whose measure tends to zero by [F4]. For each , choose disjoint small intervals around , , avoiding every other dyadic jump, and smooth bumps equal to one at these points, with signs chosen opposite to the jumps of . Their sum is a compactly supported smooth test function with . Its support is bounded away from zero, so only finitely many intervals meet it; integration by parts on those intervals, using [F5] and [F6], gives Thus the test-field supremum for is infinite. If were in , [F2] would make that supremum equal its finite total variation, a contradiction. This proves the refuted assertion fails despite the uniform bound.
Neumann constants and the Dirichlet boundary cost
Example
Assume Countable Choice. On every bounded Lipschitz domain (a bounded open set with a finite Lipschitz graph cover of its boundary, with the domain on one side of each graph), a constant function has . On the unit disk , if then .
Example references
Facts & Assumptions
Given: Countable Choice, a bounded Lipschitz domain , a real constant , and the unit disk .
Countable Choice is used for Lebesgue Fubini and the Riemann-to-Lebesgue integral comparison. (The Axiom of Countable Choice ())
Neumann variation is the mass of the derivative inside the open domain; Dirichlet variation is the total variation of the zero extension. (Full-space, Dirichlet, and Neumann TV conventions)
The unit disk indicator belongs to BV and has total variation . (A smooth-curve jump has perimeter total variation)
Distributional derivative acts by the negative-transpose test formula. (Spatial BV and distributional total variation)
Lebesgue measure on is finite on bounded sets under Countable Choice. (Lebesgue measure is a Radon measure on R^n)
Fubini identifies integrals of integrable functions on Euclidean product spaces with iterated integrals. (Fubini's theorem for L^1 functions on a sigma-finite product)
Bounded Riemann-integrable functions on compact intervals have the same Lebesgue integral under Countable Choice. (A bounded Riemann integrable function on a closed bounded interval is Lebesgue measurable and has the same integral)
A continuous derivative is Riemann integrable and its interval integral is the endpoint difference. (A continuous function on is Riemann integrable, by Heine-Cantor and Riemann's criterion, The second fundamental theorem: if is differentiable on with and is integrable, then )
Verification
Given: Countable Choice, the constant , and the conventions in [F1].
For every , extend by zero to a smooth compactly supported function on . It and each derivative are integrable by [F4]. Fubini [F5] reduces to one-dimensional integrals along coordinate lines; on each line the derivative is continuous with compact support, so [F6] identifies its Lebesgue integral with its Riemann integral and [F7] makes that integral zero. Thus for every coordinate, so and by [F1].
On the disk, the zero extension of is . Its distributional derivative is , so homogeneity of the partition variation and [F2] give .
Sources
- Piotr Rybka, The space in variational and evolution problems — Lecture Notes in Mathematical Sciences 15
- Gláucio Terra, Introduction to Geometric Measure Theory — Lecture Notes, version 1.6
- José A. Iglesias, Gwenael Mercier, and Otmar Scherzer, A note on convergence of total variation regularized linear inverse problems, Inverse Problems 34 (2018), 055011