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.
A minimum-TV truth can lack an L² source certificate
Statement refuted
Assume Countable Choice. The claim that every minimum-TV exact truth in a two-dimensional Neumann model has an source certificate is false. Let , let , let be the identity, let with , and let the regularizer be the Neumann total variation on and otherwise. The exact equation has the unique solution , so it is a minimum-TV exact truth. Nevertheless, there is no such that , where means for every .
Statement references
Facts & Assumptions
Given: , , , , , and as specified in the Statement.
Spatial BV and distributional total variation: is the vector of distributional derivatives and is the partition variation .
Full-space, Dirichlet, and Neumann TV conventions: in the Neumann convention, for .
Banach-space convex subgradients and dual pairings: exactly when for every .
Real and complex inner-product spaces and their induced length: the real inner product is ; Cauchy–Schwarz bounds its absolute value by . (Cauchy–Schwarz: , with equality exactly for dependent pairs)
Tonelli and Fubini for the completed product, with only almost-everywhere section measurability: integrable functions on this rectangle may be integrated by iterated one-dimensional integration.
Lebesgue measure is a Radon measure on R^n: Lebesgue measure on is Radon; an integrable density gives a finite Radon measure on the bounded domain.
Variation of a finite vector Radon measure is Radon: the partition variation of a finite vector Radon measure is a finite positive Radon measure.
Dominated convergence: pointwise convergence almost everywhere under an integrable majorant permits convergence of integrals; it applies to the difference quotients bounded by .
Integrable simple functions are dense in : every real integrable function admits integrable finite-valued simple approximants in ; apply it separately to the two coordinates of a vector-valued density.
Counterexample
For any integrable real vector density and , apply [F9] to each coordinate with error less than and refine the two finite partitions in common. The resulting finite-valued vector simple function satisfies , since the Euclidean pointwise norm is at most the sum of the absolute coordinate errors. Thus the vector approximation used in step 1.2 follows from the scalar supplier coordinatewise. The dominated-convergence supplier [F8] also applies there: the difference quotients are bounded by the integrable function .
The function is bounded on the bounded Lipschitz domain , hence belongs to . Fubini and one-dimensional integration by parts show that its distributional gradient is : for every compactly supported smooth vector field , the derivative pairing is , and the derivative pairing vanishes. This bounded density defines a finite vector Radon measure by [F6], so . Since , its Hilbert adjoint is also . The equation forces , so is the unique exact solution and therefore minimizes among exact solutions.
For and , the distributional gradient of has density . For any integrable vector density , its partition variation mass is : every partition gives ; conversely, for choose a finite-valued measurable simple function with , where the disjoint partition the set and off their union. Then this partition gives . Taking arbitrary proves the formula. Consequently For almost every , the vector has norm one and . The quotient is bounded in absolute value by , by the reverse triangle inequality. Dominated convergence with therefore yields the one-sided derivative where the last equality is integration by parts on and ; compact support removes the endpoint terms. Replacing by gives directional derivative .
Suppose a certificate existed. The subgradient inequality [F3] applied to for , divided by and passed to the limit in step 1.2, gives . Applying the same inequality to gives . Thus for every compactly supported smooth .
Choose with and , and for set . Then and . But step 2.1 and the formula in step 1.2 give , a fixed nonzero number, whereas Cauchy–Schwarz [F4] forces these integrals to tend to zero. This contradiction proves that no source certificate exists.
Depends on
- Dual source certificates for TV regularization
- Spatial BV and distributional total variation
- Full-space, Dirichlet, and Neumann TV conventions
- Banach-space convex subgradients and dual pairings
- The function space $\mathcal{L}^p(\mu)$ for $0 < p < \infty$
- Real and complex inner-product spaces and their induced length
- Tonelli and Fubini for the completed product, with only almost-everywhere section measurability
- Cauchy–Schwarz: $|\langle x,y\rangle|\le\|x\|\,\|y\|$, with equality exactly for dependent pairs
- Lebesgue measure is a Radon measure on R^n
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Variation of a finite vector Radon measure is Radon
- Dominated convergence
- Integrable simple functions are dense in $L^1(\mu)$
Used by
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