Applications of Differentiation 3.

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Presentation transcript:

Applications of Differentiation 3

Maximum and Minimum Values 3.1 Maximum and Minimum Values

Maximum and Minimum Values Some of the most important applications of calculus are optimization problems, which find the optimal way of doing something. Meaning: find the maximum or minimum values of some function. So what are maximum and minimum values? Example: highest point on the graph of the function f shown is the point (3, 5) so the largest value of f is f (3) = 5. Likewise, the smallest value is f (6) = 2. Figure 1

Absolute Maximum and Minimum The maximum and minimum values of f are called extreme values of f.

Local Maximum and Minimum Something is true near c means that it is true on some open interval containing c.

Example 1

Example 2 Figure 2 shows the graph of a function f with several extrema: At a : absolute minimum is f(a) At b : local maximum is f(b) At c : local minimum is f(c) At d : absolute (also local) maximum is f(d) At e : local minimum is f(e) Abs min f (a), abs max f (d) loc min f (c) , f(e), loc max f (b), f (d) Figure 2

Practice! Define all local and absolute extrema of the graph below

Maximum and Minimum Values The following theorem gives conditions under which a function is guaranteed to have extreme values.

Maximum and Minimum Values The Extreme Value Theorem is illustrated in Figure 7. Note that an extreme value can be taken on more than once. Figure 7

Maximum and Minimum Values The Extreme Value Theorem says that a continuous function on a closed interval has a maximum value and a minimum value, but it does not tell us how to find these extreme values. We start by looking for local extreme values. Figure 10 shows the graph of a function f with a local maximum at c and a local minimum at d. Figure 10

Counter examples: f’ exists but there is no local min or max f’ doesn’t exist but there is a local min or max

Maximum and Minimum Values To find an absolute maximum or minimum of a continuous function on a closed interval, we note that either it is local or it occurs at an endpoint of the interval. Thus the following three-step procedure always works.