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.
Barycentric rational quotient with support values and reduced poles
Definition
Let , let be distinct support nodes, let be data, and let each weight be nonzero. Define the cleared polynomials The barycentric rational quotient is the rational function . Away from the support nodes this equals At a support node its value is given by the cleared quotient . A pole means a zero of the denominator after all common polynomial factors of numerator and denominator have been canceled.
Depends on
Used by
- Finite-sample AAA rational approximation with exact SVD Algorithm
- Uniform meshes refute the C^(d+1)-seminorm-only Floater–Hormann rate Counterexample
- Floater–Hormann barycentric interpolant Definition
- AAA recovers a scalar transfer-function pole from four samples Example
- Floater–Hormann weights equal the local-polynomial blend weights Lemma
- Barycentric rational quotients are defined and interpolate at support nodes Proposition
- AAA weights minimize the Loewner residual and interpolate support data Theorem
Dependency tree · one level
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Sources
- Yuji Nakatsukasa, Olivier Sète, and Lloyd N. Trefethen, The AAA algorithm for rational approximation, Section 2 (standard reference, not scraped)
- Jean-Paul Berrut and Lloyd N. Trefethen, Barycentric Lagrange Interpolation, Section 9.2 (standard reference, not scraped)