The Weierstrass (Polynomial) Approximation Theorem

GUIDE: Mathematics of the Discrete Fourier Transform (DFT) - Julius O. Smith III. The Weierstrass (Polynomial) Approximation Theorem

It appears that you are using AdBlocking software. The cost of running this website is covered by advertisements. If you like it please feel free to a small amount of money to secure the future of this website.

NOTE: THIS DOCUMENT IS OBSOLETE, PLEASE CHECK THE NEW VERSION: "Mathematics of the Discrete Fourier Transform (DFT), with Audio Applications --- Second Edition", by Julius O. Smith III, W3K Publishing, 2007, ISBN 978-0-9745607-4-8. - Copyright © 2017-09-28 by Julius O. Smith III - Center for Computer Research in Music and Acoustics (CCRMA), Stanford University

<< Previous page  TOC  INDEX  Next page >>


The Weierstrass (Polynomial) Approximation Theorem

Let $f(x)$ be continuous on a real interval $I$. Then for any $\, there exists an $n$th-order polynomial $P_n(f,x)$, where $n$ depends on$\, such that

\

for all $x\.

Thus, any continuous function can be approximated arbitrarily well by means of a polynomial. Furthermore, an infinite-order polynomial can yield an error-free approximation. Of course, to compute the polynomial coefficients using a Taylor series expansion, the function must also be differentiable of all orders throughout $I$.

<< Previous page  TOC  INDEX  Next page >>

 

© 1998-2023 – Nicola Asuni - Tecnick.com - All rights reserved.
about - disclaimer - privacy