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.
Finite Hermite data at distinct eigenvalues have a unique polynomial representative
Statement
Let , let be distinct, let be positive integers, and put . Let , with the empty span . For arbitrary data with and , there is exactly one polynomial satisfying
Facts & Assumptions
Given: A finite list of distinct nodes (possibly empty), positive multiplicities when nodes are present, and the derivative data .
The space and the coordinate space both have dimension ; the monomial basis is , empty when .
The map that sends a polynomial to the finite list of its derivatives at the fixed nodes is linear.
Proof
Let be given by . By [F2], is linear, and by [F1] its domain and codomain both have dimension .
If , then , so is injective. If and , the exact Taylor expansion of the polynomial at shows divides for every . The factors for distinct are pairwise coprime, so their product of degree divides . Since has degree less than , this forces . Thus is injective in either case.
An injective linear map between finite-dimensional spaces of the same dimension is surjective, so the prescribed vector has a preimage under and that preimage is unique.
Used by
Dependency tree · 0 levels
Nothing. This result depends on no other item in the library.
Sources
- Jan Zur, Matrix Functions, TU Berlin full lecture notes (standard reference, not scraped)
- Nicholas J. Higham, Functions of Matrices, Handbook of Linear Algebra, Chapter 17 (standard reference, not scraped)