Equioscillation theorem

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Short description: Theorem

In mathematics, the equioscillation theorem concerns the approximation of continuous functions using polynomials when the merit function is the maximum difference (uniform norm). Its discovery is attributed to Chebyshev.[1]

Statement

Let f be a continuous function from [a,b] to . Among all the polynomials of degree n, the polynomial g minimizes the uniform norm of the difference fg if and only if there are n+2 points ax0<x1<<xn+1b such that f(xi)g(xi)=σ(1)ifg where σ is either -1 or +1.[1][2]

Variants

The equioscillation theorem is also valid when polynomials are replaced by rational functions: among all rational functions whose numerator has degree n and denominator has degree m, the rational function g=p/q, with p and q being relatively prime polynomials of degree nν and mμ, minimizes the uniform norm of the difference fg if and only if there are m+n+2min{μ,ν} points ax0<x1<<xn+1b such that f(xi)g(xi)=σ(1)ifg where σ is either -1 or +1.[1]

Algorithms

Several minimax approximation algorithms are available, the most common being the Remez algorithm.

References