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.

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.

Equioscillation theorem

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.

Equioscillation theorem

Algorithms

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

Equioscillation theorem

References

External links

The Chebyshev Equioscillation Theorem by Robert Mayans

The de la Vallée-Poussin alternation theorem at the Encyclopedia of Mathematics

Approximation theory by Remco Bloemen

Theorems about polynomials

Numerical analysis

Theorems in analysis