Equioscillation theorem
Equioscillation theorem
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Equioscillation theorem

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Equioscillation 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.

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.

That is, the polynomial oscillates above and below at the interpolation points, and does so to the same degree.

Let us define the equioscillation condition as the condition in the theorem statement, that is, the condition that there exists ordered points in the interval such that the difference alternates in sign and is equal in magnitude to the uniform-norm of .

We need to prove that this condition is 'sufficient' for the polynomial being the best uniform approximation to , and we need to prove that this condition is 'necessary' for a polynomial to be the best uniform approximation.

Assume by contradiction that a polynomial of degree less than or equal to existed that provides a uniformly better approximation to , which means that . Then the polynomial

is also of degree less than or equal to . However, for every of the points , we know that because and (since is a better approximation than ).

Therefore, will have the same sign as (because the second term has a smaller magnitude than the first). Thus, will also alternate sign on these points, and thus have at least roots. However, since is a 'polynomial' of at most degree , it should only have at most roots. This is a contradiction.

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