Equioscillation theorem

Theorem

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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   be a continuous function from   to  . Among all the polynomials of degree  , the polynomial   minimizes the uniform norm of the difference   if and only if there are   points   such that   where   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   and denominator has degree  , the rational function  , with   and   being relatively prime polynomials of degree   and  , minimizes the uniform norm of the difference   if and only if there are   points   such that   where   is either -1 or +1.[1]

Algorithms

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

References

  1. ^ 1.0 1.1 1.2 Golomb, Michael (1962). Lectures on Theory of Approximation.
  2. ^ "Notes on how to prove Chebyshev's equioscillation theorem" (PDF). Archived from the original (PDF) on 2 July 2011. Retrieved 2022-04-22.

External links