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.
Variation of a finite vector Radon measure is Radon
Statement
Let be open and let have finite signed Radon coordinate measures. For Borel define where the norm is Euclidean. Then is a finite positive Radon measure and
Statement references
Facts & Assumptions
Given: An open set and a finite tuple of finite signed Radon measures .
For each coordinate, is a finite positive Radon measure. Finiteness upgrades its open-set compact approximation to all Borel sets: for a finite positive Radon measure , Borel and , choose compact with , and open with . Then is compact in and misses mass below . Thus each is regular on all Borel sets. The finite sum is also regular: choose a compact subset of for each coordinate and take their finite union for inner approximation, and intersect their open supersets for outer approximation, allocating error when . (Radon measure on an LCH space, Regular complex Borel measures, The total variation of a signed or complex measure is a positive measure)
Step 3.1 shows that is a regular Borel measure, with compact inner approximation on all Borel sets. (Regular Borel measure on an LCH space)
Proof
Given: The open set and finite signed Radon coordinate measures .
If , the vector measure and vanish and the zero field gives the asserted supremum. If , the conclusion is immediate. If and , then is a singleton, , and the constant field attains the supremum when the vector is nonzero (use the zero field otherwise). Assume henceforth . For every Borel and every countable Borel partition of , the Euclidean norm satisfies . Summing over gives for , so is finite and .
If is a disjoint Borel union, then intersecting any partition of with each and using countable additivity of each coordinate shows . Conversely, for fixed and , choose for each of the finitely many a partition of whose sum exceeds . Their union, together with , is a partition of , so . Letting and then proves countable additivity. Thus is a finite positive Borel measure.
For every with , approximate uniformly by finite-valued Borel simple functions whose values have norm at most one. The partition definition bounds each simple integral by , and finiteness of the coordinate measures lets the uniform errors tend to zero. Hence the displayed supremum is at most .
Since and is a finite regular Borel measure by [F1], for every Borel and there is compact with , whence . There is also an open with , whence . Thus is a regular Borel measure in the sense of Regular Borel measure on an LCH space, and in particular a Radon measure.
If , the zero field proves the reverse inequality. Otherwise fix and choose a countable Borel partition with sum greater than ; truncate after so the tail is below . Omit indices with or ; the sum of the omitted partition values is at most . For every retained index, compact inner regularity [F2] gives a nonempty compact with . Since there are finitely many pairwise disjoint compact sets in the metric space , choose pairwise disjoint open neighborhoods with compact closures in . Outer regularity [F2] gives open with . Put . Then , , and the closures of the remain pairwise disjoint compact subsets of . Define This is continuous and compactly supported, equals one on , and vanishes outside . Set and . The disjoint closures of the imply disjoint supports and . For bounded Borel vector fields, the partition definition and uniform simple-function approximation give . Thus replacing by loses at most for each retained . Summing these errors, the omitted terms, and the tail gives . Letting proves the reverse bound.
Depends on
Used by
- A minimum-TV truth can lack an L² source certificate Counterexample
- Spatial BV and distributional total variation Definition
- A unit vector density has scalar variation measure Lemma
- Finite L² distributional variation has a finite Radon derivative Lemma
- Sharp planar isoperimetric inequality for finite-perimeter sets Lemma
- Test-field formula and L1 lower semicontinuity of spatial TV Lemma
- Trace formula and bounded zero extension on Lipschitz domains Lemma
Dependency tree · two levels
12 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
- Gláucio Terra, Introduction to Geometric Measure Theory — Lecture Notes, version 1.6 (standard reference, not scraped)