Approximations and expansions Definition
Direct and inverse theorems of approximation
Builds on Error of best approximationModulus of continuityTrigonometric polynomialHölder continuity
Definition
Let be a normed space of functions and let be subspaces of . For let be the error of best approximation. Let , for , be a measure of smoothness of , such as a modulus of continuity.
- A direct theorem is an inequality for all and , with independent of and .
- An inverse theorem is an implication that bounds in terms of the sequence .
Remarks
Example: let be the continuous -periodic functions with the uniform norm, and the trigonometric polynomials of degree at most . Jackson's inequality , with the modulus of continuity, is a direct theorem. Bernstein's theorem, that for all with implies , is an inverse theorem. Combined, they say that if and only if is Hölder continuous with exponent .
Non-example: the bound , from , is not a direct theorem. It does not involve any smoothness of and gives no rate as .
Inverse theorems usually rest on inequalities of Bernstein type for the derivatives of elements of . Direct theorems usually rest on good approximating operators, such as convolution with the Jackson kernel.
Reading path
To understand this page from the ground up, read these 5 pages in order. The foundations come first.
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- no evidence level
- Error of best approximation concept
- Hölder continuity concept
- Modulus of continuity concept
- Trigonometric polynomial concept
- Direct and inverse theorems of approximation definition
Further reading
About this page
| Tag | AEABS105PS |
|---|---|
| URI | m2://AEABS105PS |
| Kind | definition |
| Writing | W0 stub |
| MSC | 41A25, 41A27, 42A10 |
| Defines | Direct and inverse theorems of approximation |
| Uses | Error of best approximation, Modulus of continuity, Trigonometric polynomial, Hölder continuity |
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