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 domain of holomorphy need not be convex
Statement refuted
Every domain of holomorphy in is convex.
Facts & Assumptions
Given: The domain
A domain of holomorphy is characterized by the failure of every common simultaneous extension pair (Holomorphic extension and domains of holomorphy in several variables).
A holomorphic function on a connected open set is determined by its values on any nonempty open subset (A holomorphic function vanishing on a nonempty open subset of a domain vanishes identically).
Counterexample
The function is holomorphic on . Let be a point of the removed hypersurface . If extended holomorphically to a neighborhood of , then would be holomorphic on and equal to on the nonempty open set . By [L2], it would equal on all of , impossible at where . So the same function is singular at every boundary point of , and [L1] makes a domain of holomorphy.
The points and lie in , but their midpoint lies on the removed hypersurface and therefore is not in . Hence is not convex. This refutes the statement.
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
8 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
- Jiří Lebl, Tasty Bits of Several Complex Variables, §2.1 (standard reference, not scraped)
- Harold P. Boas, Lecture Notes on Several Complex Variables, Example 12 (standard reference, not scraped)