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.
The bidisc minus the origin is not holomorphically convex
Statement refuted
The punctured bidisc
is holomorphically convex.
Facts & Assumptions
Given: The punctured bidisc .
A holomorphic function on a punctured several-variable domain extends across the missing point (An isolated puncture is removable in complex dimension at least two).
A domain of holomorphy admits no common larger overlap extending every holomorphic function, and for domains in that condition is equivalent to holomorphic convexity (Holomorphic extension and domains of holomorphy in several variables, Cartan-Thullen theorem).
Counterexample
Every holomorphic function on extends to the full bidisc by [L1]. Thus the whole bidisc is a common larger domain across the missing origin for every holomorphic function on .
The extension statement in step 1.1 contradicts the domain-of-holomorphy condition in [L2], so is not a domain of holomorphy. Applying the equivalence in [L2], is not holomorphically convex either. This refutes the statement.
Depends on
Used by
- FALSE: every domain in Cⁿ is a domain of holomorphy False statement
Dependency tree · two levels
13 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, §1.6 and §2.1 (standard reference, not scraped)
- Harold P. Boas, Lecture Notes on Several Complex Variables, §3.2.3 (standard reference, not scraped)