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.
Cauchy estimates propagate from a compact set to its hull
Statement
Let be a domain, let be compact, let , and define
Then . Moreover, for every holomorphic on and every multi-index ,
Facts & Assumptions
Given: A nonempty compact set , a number , and .
The hull is characterized by the inequalities against holomorphic functions on (Holomorphic hulls and holomorphic convexity).
If a holomorphic function is defined on a polydisc, then its mixed derivatives satisfy the several-variable Cauchy estimates there (Cauchy estimates for mixed derivatives on a polydisc).
The boundary-radius inequality means that for every (The equal-radius polydisc boundary function).
Proof
By [L3], every closed polydisc with lies in . Since is compact, the union is bounded and closed in , hence compact, and it lies in . Thus .
Fix . Because , the function is holomorphic on , so [L2] gives Therefore the holomorphic function is bounded on by the displayed constant.
The function is holomorphic on , so [L1] propagates the step-1.2 bound from to . This is exactly the stated estimate.
Depends on
Used by
Dependency tree · two levels
18 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, §2.5 (standard reference, not scraped)
- Harold P. Boas, Lecture Notes on Several Complex Variables, §3.2.3 (standard reference, not scraped)