Approximations and expansions Definition
Function approximation
Builds on Normed vector spaceFunction
Definition
Let be a set and let be a normed vector space of functions on . Let be a nonempty subset, the approximating class. Let and . An approximation of from within is a function with . The function can be approximated arbitrarily well from if such a exists for every . Equivalently, lies in the closure of .
Remarks
Example: take with the supremum norm, the polynomials of degree at most , and . The function is an approximation within . Indeed is increasing on , since its derivative is nonnegative, so its maximum is .
Non-example: on with the supremum norm, the sign function cannot be approximated within any by continuous functions. Let be continuous with . Near the gaps for and for come close to and . One of these two numbers is at least .
The choice of norm matters: the sign function can be approximated arbitrarily well by continuous functions in the norm.
Reading path
To understand this page from the ground up, read these 3 pages in order. The foundations come first.
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- Function concept
- Normed vector space concept
- Function approximation definition
Further reading
About this page
| Tag | MP8X04H1ZD |
|---|---|
| URI | m2://MP8X04H1ZD |
| Kind | definition |
| Writing | W0 stub |
| MSC | 41A65, 41A30 |
| Defines | Function approximation |
| Uses | Normed vector space, Function |
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