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
editLet 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
editThe 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
editSeveral minimax approximation algorithms are available, the most common being the Remez algorithm.
References
edit- ^ a b c Golomb, Michael (1962). Lectures on Theory of Approximation.
- ^ "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
edit- Notes on how to prove Chebyshev’s equioscillation theorem at the Wayback Machine (archived July 2, 2011)
- The Chebyshev Equioscillation Theorem by Robert Mayans
- The de la Vallée-Poussin alternation theorem at the Encyclopedia of Mathematics
- Approximation theory by Remco Bloemen