Math 2.0

Approximations and expansions Multivariate and nonlinear approximation Concept

Weighted polynomial approximation

Summary

Weighted polynomial approximation measures the distance between a function and polynomials with a weight ww, as in sup⁡x∣f(x)−p(x)∣w(x)\sup_x \abs{f(x) - p(x)} w(x) or in a weighted LpL^p norm. On unbounded sets such as ℝ\R the weight must decay fast enough to make polynomials have finite norm. A classical question, Bernstein's approximation problem, asks for which weights on ℝ\R polynomials are dense in the corresponding space of continuous functions. For the weights e−∣x∣αe^{-\abs{x}^\alpha} the answer is yes exactly when α≥1\alpha \ge 1, and orthogonal polynomials for such weights are a main tool.

Further reading

  1. Web https://en.wikipedia.org/wiki/Approximation_theory
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