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.
Full-space, Dirichlet, and Neumann TV conventions
Definition
Let be a bounded Lipschitz domain, meaning a bounded open set whose boundary has a finite cover by coordinate neighborhoods in which it is the graph of a Lipschitz function and lies on one side of that graph. For define the Neumann total variation by . Define its zero extension by almost everywhere on and almost everywhere on . Define the Dirichlet total variation by when and by otherwise. For define the full-space total variation by . Thus Neumann variation counts only the distributional derivative inside , while Dirichlet variation also counts any jump created by zero extension across .
Depends on
Used by
- A minimum-TV truth can lack an L² source certificate Counterexample
- Canonical TV level sets and their boundaries Definition
- Dual source certificates for TV regularization Definition
- Variational curvature of a finite-perimeter set Definition
- Neumann constants and the Dirichlet boundary cost Example
- BV Sobolev–Poincaré inequality for Neumann TV Lemma
- Dual attainment and convergence of TV source certificates Lemma
- Primal compactness and selection of a minimum-TV limit Lemma
- Uniform density and Hausdorff convergence of TV level-set boundaries Lemma
Dependency tree · two levels
7 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- José A. Iglesias, Gwenael Mercier, and Otmar Scherzer, A note on convergence of total variation regularized linear inverse problems, Inverse Problems 34 (2018), 055011 (standard reference, not scraped)
- Gláucio Terra, Introduction to Geometric Measure Theory — Lecture Notes, version 1.6 (standard reference, not scraped)