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.
Van Hove sequences of spatial windows
Definition
Fix an integer and assume the Axiom of Countable Choice (The Axiom of Countable Choice ()). By Assuming countable choice, every Borel subset of is Lebesgue measurable, every Borel subset of is Lebesgue measurable under this assumption; by Assuming countable choice, is a sigma-algebra containing every elementary set and is a complete measure extending elementary volume, is the resulting complete Lebesgue measure. A Van Hove sequence of spatial windows is a sequence of bounded Borel sets (The Borel sigma-algebra of a topological space) in with for every , , and Here is Lebesgue measure when is Lebesgue measurable, and . As part of the condition, each boundary excess in the display is required to be Lebesgue measurable. Thus the window volume diverges while every fixed compact spatial enlargement adds a negligible relative volume.
Depends on
- The Borel sigma-algebra of a topological space
- The Axiom of Countable Choice ($\mathrm{AC}_\omega$)
- Lebesgue measurable sets, the family $\mathcal{L}(\mathbb{R}^n)$, and the restricted set function $\lambda_n$
- Assuming countable choice, every Borel subset of $\mathbb{R}^n$ is Lebesgue measurable
- Assuming countable choice, $\mathcal{L}(\mathbb{R}^n)$ is a sigma-algebra containing every elementary set and $\lambda_n$ is a complete measure extending elementary volume
Used by
Dependency tree · two levels
28 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
- Evgeny Spodarev, Spatial Statistics: Lecture Notes (2024), Section 2.1 (standard reference, not scraped)