Section 6.3 Maxima and minima
Objectives
You should be able to:
- Explain and illustrate the definition of local and absolute extrema.
- Explain and illustrate the definition of critical numbers of a function.
- Relate critical numbers of a function to its local extrema.
- Find the critical numbers of a function.
- Explain and illustrate geometrically the Extreme Value Theorem.
- Find the absolute minimum and maximum of a function on a closed interval.
Subsection 6.3.1 Instructional video
Subsection 6.3.2 Key concepts
Concept 6.3.1. Min and max of a function.
Let cβD where D is the domain of f. Then f(c) is:
- The absolute maximum of f on D if f(c)β₯f(x) for all xβD;
- The absolute minimum of f on D if f(c)β€f(x) for all xβD;
- The local maximum of f on D if f(c)β₯f(x) for all x near c;
- The local minimum of f on D if f(c)β€f(x) for all x near c.
Near c means βfor all x in some open interval containing c.β
In general, absolute minima and maxima can occur either at local minima or maxima, or, if D is a closed interval, at the endpoints of the interval.
Concept 6.3.2. Extrema and critical numbers.
A critical number of f is a number c in the domain D of f such that either fβ²(c)=0 or fβ²(c) does not exist.
If f has a local minimum or maximum at c, then c is a critical number of f (Fermat's Theorem). However, the converse is not true: not all critical numbers are local minima or maxima.
Concept 6.3.3. Extreme Value Theorem.
If f is continuous on [a,b], then f must attain an absolute maximum f(c) and an absolute minimum f(d) at some numbers c,dβ[a,b].
Concept 6.3.4. How to find the absolute extrema of a continuous function f on a closed interval [a,b].
- Find the critical numbers of f in (a,b), and evaluate f at the critical numbers;
- Evaluate f at the endpoints a and b;
- Compare the values. The largest of these values is the absolute maximum, while the smallest is the absolute minimum.
Further readings 6.3.3 Further readings
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