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.
Chebyshev–Lobatto interpolation remainder bound
Statement
Let and . Let be interpolation at the nodes . Then
Facts & Assumptions
Given: and .
Chebyshev–Gauss–Lobatto collocation grid: the distinct nodes are , including both endpoints.
Chebyshev polynomials of the first and second kinds by their three-term recurrences and Degrees and leading coefficients of the Chebyshev polynomials: has degree and leading coefficient for .
Quarter-turn values and shifts by pi/2 and pi: for every integer , by repeated shifts by .
Parity and the Pythagorean identity for sine and cosine: for every real .
Cardinal-polynomial interpolation: the node polynomial is and is its degree-at-most- Lagrange interpolant after reversing the decreasing node order.
Pointwise Lagrange interpolation remainder: for off the nodes, for some in the interval between the extreme nodes and ; at a node the error is zero.
Arcsine-weighted inner product on the Chebyshev interval: because the angular measure has total mass .
Higher derivatives and the classes and , Heine-Borel by bisection: every closed bounded interval is compact, and Extreme value theorem: a continuous real function on a nonempty compact subset of attains a greatest and a least value: is continuous on the compact interval, so the displayed finite maximum exists.
A nonzero real polynomial of degree has no more than distinct real roots: a polynomial with more distinct roots than its degree is the zero polynomial.
Proof
By the recurrence in [F2], has leading coefficient for every . Hence is monic of degree .
For , put . Then [F3] and [F4] give . Also . Thus vanishes at all distinct nodes in [F1]. The node product is also monic of degree by [F6]; their difference has degree at most and distinct roots, so [F10] gives .
For with , the derivative formula in [F3] gives The inequality uses [F5]. At the endpoints , so this bound holds on all of .
At nodes the interpolation error is zero; off the nodes apply [F7] and step 2.1. Since the maximum in [F9] is finite, this gives
Apply the weighted-norm estimate [F8] to the uniform error in step 3.1. This proves the stated inequality.
Depends on
- Chebyshev–Gauss–Lobatto collocation grid
- Cardinal-polynomial interpolation
- Pointwise Lagrange interpolation remainder
- Chebyshev polynomials of the first and second kinds by their three-term recurrences
- $T_n(\cos\theta)=\cos(n\theta)$ and $U_n(\cos\theta)\sin\theta=\sin((n+1)\theta)$ for every $n\in\mathbb N$
- Degrees and leading coefficients of the Chebyshev polynomials
- A nonzero real polynomial of degree $n$ has no more than $n$ distinct real roots
- The chain rule, in one line from Carathéodory: if $g$ is differentiable at $c$ and $f$ is differentiable at $g(c)$, then $f \circ g$ is differentiable at $c$ with $(f \circ g)'(c) = f'(g(c))\,g'(c)$
- The derivatives of sine and cosine are cosine and minus sine
- Quarter-turn values and shifts by pi/2 and pi
- Parity and the Pythagorean identity for sine and cosine
- Higher derivatives and the classes $C^k$ and $C^\infty$
- Heine-Borel by bisection: every closed bounded interval $[a,b]$ is compact
- Extreme value theorem: a continuous real function on a nonempty compact subset of $\mathbb{R}$ attains a greatest and a least value
- Arcsine-weighted inner product on the Chebyshev interval
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
77 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
- Jie Shen and Tao Tang, Spectral and High-Order Methods with Applications, §1.8 (standard reference, not scraped)
- Mark Embree, Lecture Notes on Numerical Analysis, Lecture 3 (standard reference, not scraped)