Math 2.0

Approximations and expansions Approximation by linear operators Theorem

Faber's theorem on interpolation

Builds on Lebesgue constantLagrange interpolationContinuous functionUniform convergence

Statement

Let a<ba < b. For each n≥0n \ge 0, let xn,0<xn,1<⋯<xn,nx_{n,0} < x_{n,1} < \cdots < x_{n,n} be n+1n + 1 points of [a,b][a, b]. For a continuous function ff on [a,b][a, b], let pn(f)p_n(f) be the Lagrange interpolation polynomial of degree at most nn that agrees with ff at xn,0,…,xn,nx_{n,0}, \dots, x_{n,n}. Then there is a continuous function ff on [a,b][a, b] such that pn(f)p_n(f) does not converge uniformly to ff on [a,b][a, b].

Remarks

Proof idea: the norm of the interpolation map f↦pn(f)f \mapsto p_n(f) on C[a,b]C[a, b] is the Lebesgue constant Λn\Lambda_n of the nn-th row of nodes. For every choice of nodes, Λn≥clog⁡n\Lambda_n \ge c \log n for some constant c>0c > 0, so Λn→∞\Lambda_n \to \infty. By the uniform boundedness principle, sup⁡n∥pn(f)∥∞=∞\sup_n \norm{p_n(f)}_\infty = \infty for some continuous ff, and for this ff the sequence pn(f)p_n(f) cannot converge uniformly.

Example: for Chebyshev nodes Λn\Lambda_n grows only like 2πlog⁡n\frac{2}{\pi} \log n, which is slow but still unbounded. So even interpolation at Chebyshev nodes fails for some continuous function, although it converges for every Lipschitz function.

The theorem concerns one fixed array of nodes for all functions. For each single continuous ff there is an array of nodes for which pn(f)→fp_n(f) \to f uniformly, for example nodes where ff meets its best approximations.

Going deeper

For a student

Faber's theorem separates existence of good approximations from their construction by interpolation. It is a typical application of the uniform boundedness principle with norms that grow like a logarithm, as for divergent Fourier series of continuous functions. In practice it is mild: for Chebyshev nodes, Lebesgue's lemma gives convergence as soon as ω(f,1/n)log⁡n→0\omega(f, 1/n) \log n \to 0.

Reading path

To understand this page from the ground up, read these 5 pages in order. The foundations come first.

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Each page uses the pages above it. The colour of the bar on a box shows how strong the evidence is, and the box also gives it as text. The list has the same pages.
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  1. Continuous function concept
  2. Lagrange interpolation concept
  3. Lebesgue constant concept
  4. Uniform convergence concept
  5. Faber's theorem on interpolation statement

Further reading

  1. Web https://en.wikipedia.org/wiki/Lebesgue_constant
About this page
TagZTBC6G7DGD
URIm2://ZTBC6G7DGD
Kindstatement, theorem
WritingW0 stub
MSC41A05, 41A10
StatusThis copy of the site has no build data. Run m2 status ZTBC6G7DGD.
AboutLebesgue constant
UsesLebesgue constant, Lagrange interpolation, Continuous function, Uniform convergence

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