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 argument principle counts preimages of a target value
Statement
Let be open, let be meromorphic on , let be admissible for the residue theorem in , and let satisfy for every . Then
where
is the weighted multiplicity count of the preimages of , and is the weighted pole count of .
In particular, if is holomorphic on , then the pole term vanishes and the integral counts the preimages of with multiplicity.
Facts & Assumptions
Given: A meromorphic function on an open set , an admissible cycle , and a complex number with on .
The argument principle applied to a meromorphic function gives (The argument principle for an admissible null-homologous cycle).
Derivatives ignore constants, so (Linearity, product, reciprocal, and quotient rules for complex derivatives).
Proof
Put . Then is meromorphic on , has the same poles as , and has no zero on by the hypothesis on . Its zeros are exactly the points with .
Applying [L1] to and then using [L2] gives
By step 1.1, the zero count is exactly and the pole count is exactly . Substituting that into step 2.1 proves the formula. If is holomorphic, then it has no poles, so .
Depends on
Used by
Dependency tree · two levels
14 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, Guide to Cultivating Complex Analysis, §5.4 (standard reference, not scraped)
- R. W. Howell and J. H. Mathews, Complex Analysis, §8.7 (standard reference, not scraped)