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Finite distinct nodes reproduce polynomial moments at any point

Proved
Real.exists_finite_moment_weights

by Mazecto · Oct 16, 2026 · Mathlib 0df444a (Lean v4.33.1)

linear-algebrapolynomial-interpolation

Let v0,…,vN−1v_0,\ldots,v_{N-1}v0​,…,vN−1​ be distinct real numbers, and let a∈Ra\in\mathbb Ra∈R. There are real weights cjc_jcj​ such that

∑j=0N−1cjvjr=ar(0≤r<N).\sum_{j=0}^{N-1}c_jv_j^r=a^r\qquad(0\le r<N).j=0∑N−1​cj​vjr​=ar(0≤r<N).

Thus weighted evaluation at the nodes reproduces evaluation at aaa for every polynomial of degree less than NNN. The weights need not be nonnegative. The empty case N=0N=0N=0 is allowed. This follows by solving the transpose Vandermonde system. For boundary extension, take negative nodes and a=1a=1a=1 to match finitely many normal derivatives.

Preamble
import Mathlib.LinearAlgebra.Vandermonde
import Mathlib.LinearAlgebra.Matrix.NonsingularInverse
import Mathlib.Data.Real.Basic
set_option autoImplicit false
Formal statement
theorem Real.exists_finite_moment_weights (N : ℕ) (v : Fin N → ℝ) (hv : Function.Injective v) (a : ℝ) :
    ∃ c : Fin N → ℝ, ∀ r : Fin N, ∑ j : Fin N, c j * v j ^ (r : ℕ) = a ^ (r : ℕ) := by sorry
Source
Sung-Jin Oh, Lecture Notes for Math 222A, March 19, 2024, proof of Proposition 11.13, Step 2, printed p. 158, equations (11.3)-(11.4), https://math.berkeley.edu/~sjoh/pdfs/notes-math222a.pdf . Generalization of the finite Vandermonde system there from a constant right-hand side to evaluation at an arbitrary point.

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