Menu
Home Explore People Places Arts History Plants & Animals Science Life & Culture Technology
On this page
Equioscillation theorem
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.

We don't have any images related to Equioscillation theorem yet.
We don't have any YouTube videos related to Equioscillation theorem yet.
We don't have any PDF documents related to Equioscillation theorem yet.
We don't have any Books related to Equioscillation theorem yet.
We don't have any archived web articles related to Equioscillation theorem yet.

Statement

Let f {\displaystyle f} be a continuous function from [ a , b ] {\displaystyle [a,b]} to R {\displaystyle \mathbb {R} } . Among all the polynomials of degree ≤ n {\displaystyle \leq n} , the polynomial g {\displaystyle g} minimizes the uniform norm of the difference ‖ f − g ‖ ∞ {\displaystyle \|f-g\|_{\infty }} if and only if there are n + 2 {\displaystyle n+2} points a ≤ x 0 < x 1 < ⋯ < x n + 1 ≤ b {\displaystyle a\leq x_{0}<x_{1}<\cdots <x_{n+1}\leq b} such that f ( x i ) − g ( x i ) = σ ( − 1 ) i ‖ f − g ‖ ∞ {\displaystyle f(x_{i})-g(x_{i})=\sigma (-1)^{i}\|f-g\|_{\infty }} where σ {\displaystyle \sigma } is either -1 or +1.23

Variants

The equioscillation theorem is also valid when polynomials are replaced by rational functions: among all rational functions whose numerator has degree ≤ n {\displaystyle \leq n} and denominator has degree ≤ m {\displaystyle \leq m} , the rational function g = p / q {\displaystyle g=p/q} , with p {\displaystyle p} and q {\displaystyle q} being relatively prime polynomials of degree n − ν {\displaystyle n-\nu } and m − μ {\displaystyle m-\mu } , minimizes the uniform norm of the difference ‖ f − g ‖ ∞ {\displaystyle \|f-g\|_{\infty }} if and only if there are m + n + 2 − min { μ , ν } {\displaystyle m+n+2-\min\{\mu ,\nu \}} points a ≤ x 0 < x 1 < ⋯ < x m + n + 1 − min { μ , ν } ≤ b {\displaystyle a\leq x_{0}<x_{1}<\cdots <x_{m+n+1-\min\{\mu ,\nu \}}\leq b} such that f ( x i ) − g ( x i ) = σ ( − 1 ) i ‖ f − g ‖ ∞ {\displaystyle f(x_{i})-g(x_{i})=\sigma (-1)^{i}\|f-g\|_{\infty }} where σ {\displaystyle \sigma } is either -1 or +1.4

Algorithms

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

References

  1. Golomb, Michael (1962). Lectures on Theory of Approximation. https://books.google.com/books?id=DbnPAAAAMAAJ

  2. Golomb, Michael (1962). Lectures on Theory of Approximation. https://books.google.com/books?id=DbnPAAAAMAAJ

  3. "Notes on how to prove Chebyshev's equioscillation theorem" (PDF). Archived from the original (PDF) on 2 July 2011. Retrieved 2022-04-22. https://web.archive.org/web/20110702221651/http://www.math.uiowa.edu/~jeichhol/qual%20prep/Notes/cheb-equiosc-thm_2007.pdf

  4. Golomb, Michael (1962). Lectures on Theory of Approximation. https://books.google.com/books?id=DbnPAAAAMAAJ