Math 2.0

Approximations and expansions Definition

Function approximation

Builds on Normed vector spaceFunction

Definition

Let SS be a set and let XX be a normed vector space of functions on SS. Let A⊆XA \subseteq X be a nonempty subset, the approximating class. Let f∈Xf \in X and ε>0\varepsilon > 0. An approximation of ff from AA within ε\varepsilon is a function g∈Ag \in A with ∥f−g∥≤ε\norm{f - g} \le \varepsilon. The function ff can be approximated arbitrarily well from AA if such a gg exists for every ε>0\varepsilon > 0. Equivalently, ff lies in the closure of AA.

Remarks

Example: take X=C[0,1]X = C[0, 1] with the supremum norm, AA the polynomials of degree at most 22, and f(x)=exf(x) = e^x. The function g(x)=1+x+x2/2g(x) = 1 + x + x^2/2 is an approximation within 0.220.22. Indeed ex−g(x)e^x - g(x) is increasing on [0,1][0, 1], since its derivative ex−1−xe^x - 1 - x is nonnegative, so its maximum is e−2.5<0.22e - 2.5 < 0.22.

Non-example: on [−1,1][-1, 1] with the supremum norm, the sign function cannot be approximated within any ε<1\varepsilon < 1 by continuous functions. Let gg be continuous with g(0)=cg(0) = c. Near 00 the gaps ∣1−g(x)∣\abs{1 - g(x)} for x>0x > 0 and ∣−1−g(x)∣\abs{-1 - g(x)} for x<0x < 0 come close to ∣1−c∣\abs{1 - c} and ∣1+c∣\abs{1 + c}. One of these two numbers is at least 11.

The choice of norm matters: the sign function can be approximated arbitrarily well by continuous functions in the L2L^2 norm.

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Further reading

  1. Web https://en.wikipedia.org/wiki/Function_approximation
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MSC41A65, 41A30
DefinesFunction approximation
UsesNormed vector space, Function

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