When the values of a function f are too difficult to calculate, whether "by hand" or with a tool such as a calculator or computer, we try to replace f with a simpler function—a polynomial, for example. Of course, this replacement must be "close" to f. We therefore need to specify what we mean by "close"—that is, choose a distance.
The most natural approach
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Let f and g be functions that are defined and, for simplicity, assumed continuous on the interval [a, b]. The best-known distance between f and g is probably the one induced by the uniform norm: d(f, g) is the maximum difference between f(x) and g(x) as x ranges over [a, b]. Mathematically, this is written:
d(f,g)=maxx∈[a,b]∣f(x)−g(x)∣.
We must, of course, show that this definition has the properties of a distance (see
Les distances. Bibliothèque
Tangente no. 81, POLE, 2023). No problem: it does! To approximate
f with a simpler function
g, we therefore seek to make
d(f
, g
) as small as possible. This is clearly the appropriate distance if we want a function g
that is close to f
at every point of the interval [a
, b*].