Consider on , interpolated at Chebyshev points of the first kind. The nearest…

PHYSICS · Multi-part · Fermi University Physics · Mathematical Methods for Physics · Complex analysis · Numerical and computational mathematics

Error, Chance and the Machine, Ch Approximating a function: interpolation and differentiation

Problem

Consider f(x)=1x2+9f(x) = \dfrac{1}{x^2+9} on [−1,1][-1,1], interpolated at n+1n+1 Chebyshev points of the first kind. The nearest singularities of ff in the complex plane are the poles at x=±3ix = \pm 3i. For a function with poles at ±ic\pm ic and the interval [−1,1][-1,1], the Bernstein ellipse parameter is ρB=c+c2+1\rho_{\rm B} = c + \sqrt{c^2+1}, and Chebyshev interpolation gains log⁡10ρB\log_{10}\rho_{\rm B} decimal digits of accuracy per additional node. ((a)) Compute ρB\rho_{\rm B} and the number of digits gained per node for this ff. ((b)) The maximum interpolation error at n=4n=4 (5 nodes) is measured to be 7.5×10−67.5\times10^{-6}. Predict the maximum error at n=10n=10 (11 nodes).

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