5.2 Extreme Value Theorem, Global Versus Local Extrema, and Critical Points
- Syllabus
- 2020
- Topic
- 5.2
- Level
- —
The Extreme Value Theorem (EVT) is an existence guarantee. If f is continuous on the closed interval [a,b], then f attains at least one absolute (global) minimum value and at least one absolute maximum value somewhere on [a,b]. The theorem guarantees that these values exist; it does not locate them.
| Idea | Meaning | Key point |
|---|---|---|
| Global extremum | Greatest or least value on the entire stated interval | May occur at an endpoint or an interior point |
| Local extremum | Greatest or least value compared with nearby values | Must occur at a critical point |
| Critical point | A point on the function where f′(x)=0 or f′(x) does not exist | It is only a candidate; it need not be an extremum |
To find global extrema on [a,b]: first verify continuity on the whole closed interval. Next find every interior point where f′(x)=0 or f′(x) does not exist. Evaluate f at those critical points and at both endpoints. The largest output is the global maximum value, and the smallest is the global minimum value.
For f(x)=x2−2x on [0,3], continuity guarantees both global extrema. Since f′(x)=2x−2, the only interior critical point is x=1. Compare f(0)=0, f(1)=−1, and f(3)=3. Thus the global minimum is −1 at x=1, while the global maximum is 3 at the endpoint x=3.
Do not reverse the critical-point statement. Every local extremum is a critical point, but a critical point may be neither a maximum nor a minimum: for f(x)=x3, f′(0)=0, yet the function keeps increasing through x=0.