By Rick Stoll |
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On the last page you learned how to find local extrema; one is often more interested in finding global extrema: We say that the function f(x) has a global maximum at x=x0
on the interval I, if
If f(x) is a continuous function on a closed bounded interval [a,b], then f(x) will have a global maximum and a global minimum on [a,b]! (This is not easy to prove, though). On the other hand, if the interval is not bounded or closed, then there is no
guarantee that a continuous function f(x) will have global extrema.
Examples: f(x)=x2 does not have a global maximum
on the interval
How can we find global extrema? Unfortunately, not every global extremum is also a local extremum: Example. Consider the function
f(x) = (x-1)2, for
This leads us to introduce the new concept of endpoint extrema.
Indeed, if c is an endpoint of the domain of f(x), then f(x)
is said to have an endpoint maximum at c iff
The news is not too bad, though. If f(x) is differentiable on the interval I, then:
This suggests the following strategy to find global extrema:
Example. Let us find the global extrema of the function f(x)=x e-x on the interval [0.1,3.5]. The function f(x)is differentiable everywhere, its derivative f'(x)=e-x-xe-x=(1-x)e-x is zero only at x=1. Thus x=1 is the only critical point. Throw in the endpoints of the interval x=0.1 and x=3.5, and evaluate f(x):
Thus the global minimum occurs at x=0.1, the global maximum occurs at x=1.
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