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A locally bounded holomorphic function extends across a coordinate hyperplane
Statement
Let , let be a domain, and let
If is holomorphic and locally bounded near , then there exists a unique holomorphic such that on .
Facts & Assumptions
Given: A domain , a holomorphic function , and local boundedness near the coordinate hyperplane .
A bounded punctured slice extends holomorphically, and the missing value depends holomorphically on the remaining parameters (A locally bounded punctured slice has a holomorphic parameter extension).
A holomorphic function on a connected open set is determined by its values on a nonempty open subset (A holomorphic function vanishing on a nonempty open subset of a domain vanishes identically).
Holomorphic extension means agreement on some nonempty open overlap (Holomorphic extension and domains of holomorphy in several variables).
Proof
Let . By local boundedness, choose a product neighborhood of on which is bounded whenever , after translating coordinates so that . Applying [L1] on this product neighborhood gives a holomorphic function extending across the slice .
The functions and agree on the nonempty open overlap , so each is a local holomorphic extension in the sense of [L3].
If two such neighborhoods overlap, their local extensions agree on the nonempty open subset of the overlap where , because both equal there. The overlap is connected after shrinking if necessary, so [L2] makes the two local extensions equal on the whole overlap.
The local extensions therefore glue to a single holomorphic function on that agrees with off . Uniqueness follows from [L2], since two global extensions agree on the nonempty open set .
Depends on
Used by
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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
- J. Lebl, Tasty Bits of Several Complex Variables, Theorem 1.6.1 (standard reference, not scraped)