1. Chapter 13
Curve Sketching

2. Chapter 13: Curve Sketching
Chapter Objectives
To find critical values, to locate relative maxima and relative minima of a curve.
To find extreme values on a closed interval.
To test a function for concavity and inflection points.
To locate relative extrema by applying the second-derivative test.
To sketch the graphs of functions having asymptotes.
To model situations involving maximizing or minimizing a quantity.

3. Chapter Outline Relative Extrema Absolute Extrema on a Closed Interval
Chapter 13: Curve Sketching
Chapter Outline
Relative Extrema
Absolute Extrema on a Closed Interval
Concavity
The Second-Derivative Test
Asymptotes
Applied Maxima and Minima
13.1)
13.2)
13.3)
13.4)
13.5)
13.6)

4. 13.1 Relative Extrema Increasing or Decreasing Nature of a Function
Chapter 13: Curve Sketching
13.1 Relative Extrema
Increasing or Decreasing Nature of a Function
Increasing f(x) if x1 < x2 and f(x1) < f(x2).
Decreasing f(x) if x1 < x2 and f(x1) > f(x2).

5. Chapter 13: Curve Sketching
13.1 Relative Extrema
Extrema

6. f is increasing on (a, b) when f’(x) > 0
Chapter 13: Curve Sketching
13.1 Relative Extrema
RULE 1 - Criteria for Increasing or Decreasing Function
f is increasing on (a, b) when f’(x) > 0
f is decreasing on (a, b) when f’(x) < 0
RULE 2 - A Necessary Condition for Relative Extrema

7. RULE 3 - Criteria for Relative Extrema
Chapter 13: Curve Sketching
13.1 Relative Extrema
RULE 3 - Criteria for Relative Extrema
If f’(x) changes from +ve to –ve, then f has a relative maximum at a.
If f’(x) changes from -ve to +ve, then f has a relative minimum at a.

8. First-Derivative Test for Relative Extrema Find f’(x).
Chapter 13: Curve Sketching
13.1 Relative Extrema
First-Derivative Test for Relative Extrema
Find f’(x).
Determine all critical values of f.
For each critical value a at which f is continuous, determine whether f’(x) changes sign as x increases through a.
For critical values a at which f is not continuous, analyze the situation by using the definitions of extrema directly.

9. STEP 2 - Setting f’(x) = 0 gives x = −3, 1.
Chapter 13: Curve Sketching
13.1 Relative Extrema
Example 1 - First-Derivative Test
If , use the first-derivative test to find where relative extrema occur.
Solution:
STEP 1 -
STEP 2 - Setting f’(x) = 0 gives x = −3, 1.
STEP 3 - Conclude that at−3, there is a relative maximum.
STEP 4 – There are no critical values at which f is not continuous.

10. Test for relative extrema. Solution: By product rule,
Chapter 13: Curve Sketching
13.1 Relative Extrema
Example 3 - Finding Relative Extrema
Test for relative extrema.
Solution: By product rule,
Relative maximum when x = −2
Relative minimum when x = 0.

11. 13.2 Absolute Extrema on a Closed Interval
Chapter 13: Curve Sketching
13.2 Absolute Extrema on a Closed Interval
Extreme-Value Theorem
If a function is continuous on a closed interval, then the function has a maximum value and a minimum value on that interval.

12. Find the critical values of f .
Chapter 13: Curve Sketching
13.2 Absolute Extrema on a Closed Interval
Procedure to Find Absolute Extrema for a Function f That Is Continuous on [a, b]
Find the critical values of f .
Evaluate f(x) at the endpoints a and b and at the critical values in (a, b).
The maximum value of f is the greatest value found in step 2. The minimum value is the least value found in step 2.

13. Find absolute extrema for over the closed interval [1, 4].
Chapter 13: Curve Sketching
13.2 Absolute Extrema on a Closed Interval
Example 1 - Finding Extreme Values on a Closed Interval
Find absolute extrema for over the closed interval [1, 4].
Solution:
Step 1:
Step 2:
Step 3:

14. 13.3 Concavity Cases where curves concave upward:
Chapter 13: Curve Sketching
13.3 Concavity
Cases where curves concave upward:
Cases where curves concave downward:

15. f is said to be concave up on (a, b) if f is increasing on (a, b).
Chapter 13: Curve Sketching
13.3 Concavity
f is said to be concave up on (a, b) if f is increasing on (a, b).
f is said to be concave down on (a, b) if f is decreasing on (a, b).
f has an inflection point at a if it is continuous at a and f changes concavity at a.
Criteria for Concavity
If f’’(x) > 0, f is concave up on (a, b).
If f”(x) < 0, f is concave down on (a, b).

16. Concave up when 6(x − 1) > 0 as x > 1.
Chapter 13: Curve Sketching
13.3 Concavity
Example 1 - Testing for Concavity
Determine where the given function is concave up and where it is concave down.
Solution:
Applying the rule,
Concave up when 6(x − 1) > 0 as x > 1.
Concave down when 6(x − 1) < 0 as x < 1.

17. As y’’ is always positive, y = x2 is always concave up.
Chapter 13: Curve Sketching
13.3 Concavity
Example 1 - Testing for Concavity
Solution:
Applying the rule,
As y’’ is always positive, y = x2 is always concave up.

18. Discuss concavity and find all inflection points for f(x) = 1/x.
Chapter 13: Curve Sketching
13.3 Concavity
Example 3 - A Change in Concavity with No Inflection Point
Discuss concavity and find all inflection points for f(x) = 1/x.
Solution:
x > 0 f”(x) > 0 and x < 0  f”(x) < 0. f is concave up on (0,∞) and
concave down on (−∞, 0)
f is not continuous at 0  no inflection point

19. 13.4 The Second-Derivative Test
Chapter 13: Curve Sketching
13.4 The Second-Derivative Test
The test is used to test certain critical values for relative extrema.
Suppose f’(a) = 0.
If f’’(a) < 0, then f has a relative maximum at a.
If f’’(a) > 0, then f has a relative minimum at a.

20. Relative minimum when x = −3.
Chapter 13: Curve Sketching
13.4 The Second-Derivative Test
Example 1 - Second-Derivative Test
Test the following for relative maxima and minima. Use the second-derivative test, if possible.
Solution:
Relative minimum when x = −3.

21. No maximum or minimum exists when x = 0.
Chapter 13: Curve Sketching
13.4 The Second-Derivative Test
Example 1 - Second-Derivative Test
Solution:
No maximum or minimum exists when x = 0.

22. 13.5 Asymptotes Vertical Asymptotes
Chapter 13: Curve Sketching
13.5 Asymptotes
Vertical Asymptotes
The line x = a is a vertical asymptote if at least one of the following is true:
Vertical-Asymptote Rule for Rational Functions
P and Q are polynomial functions and the quotient is in lowest terms.

23. Determine vertical asymptotes for the graph of
Chapter 13: Curve Sketching
13.5 Asymptotes
Example 1 - Finding Vertical Asymptotes
Determine vertical asymptotes for the graph of
Solution: Since f is a rational function,
Denominator is 0 when x is 3 or 1.
The lines x = 3 and x = 1 are vertical asymptotes.

24. Horizontal and Oblique Asymptotes
Chapter 13: Curve Sketching
13.5 Asymptotes
Horizontal and Oblique Asymptotes
The line y = b is a horizontal asymptote if at least one of the following is true:
Nonvertical asymptote
The line y = mx +b is a nonvertical asymptote if at least one of the following is true:

25. Find the oblique asymptote for the graph of the rational function
Chapter 13: Curve Sketching
13.5 Asymptotes
Example 3 - Finding an Oblique Asymptote
Find the oblique asymptote for the graph of the rational function
Solution:
y = 2x + 1 is an oblique asymptote.

26. Find horizontal and vertical asymptotes for the graph
Chapter 13: Curve Sketching
13.5 Asymptotes
Example 5 - Finding Horizontal and Vertical Asymptotes
Find horizontal and vertical asymptotes for the graph
Solution: Testing for horizontal asymptotes,
The line y = −1 is a horizontal asymptote.

27. Sketch the graph of . Solution: Example 7 - Curve Sketching
Chapter 13: Curve Sketching
13.5 Asymptotes
Example 7 - Curve Sketching
Sketch the graph of .
Solution:
Intercepts (0, 0) is the only intercept.
Symmetry There is only symmetry about the origin.
Asymptotes Denominator  0  No vertical asymptote
Since
y = 0 is the only non-vertical asymptote
Max and Min For , relative maximum is (1, 2).
Concavity For , inflection points are
(-√ 3, -√3), (0, 0), (√3, √3).

28. Solution: Graph Chapter 13: Curve Sketching 13.5 Asymptotes
Example 7 - Curve Sketching
Solution: Graph

29. 13.6 Applied Maxima and Minima
Chapter 13: Curve Sketching
13.6 Applied Maxima and Minima
Example 1 - Minimizing the Cost of a Fence
Use absolute maxima and minima to explain the endpoints of the domain of the function.
A manufacturer plans to fence in a 10,800-ft2 rectangular storage area adjacent to a building by using the building as one side of the enclosed area. The fencing parallel to the building faces a highway and will cost $3 per foot installed, whereas the fencing for the other two sides costs $2 per foot installed. Find the amount of each type of fence so that the total cost of the fence will be a minimum.
What is the minimum cost?

30. Analyzing the equations,
Chapter 13: Curve Sketching
13.6 Applied Maxima and Minima
Example 1 - Minimizing the Cost of a Fence
Solution:
Cost function is
Storage area is
Analyzing the equations,
Thus,
and
Only critical value is 120.
x =120 gives a relative minimum.

31. A manufacturer’s total-cost function is given by
Chapter 13: Curve Sketching
13.6 Applied Maxima and Minima
Example 3 - Minimizing Average Cost
A manufacturer’s total-cost function is given by
where c is the total cost of producing q units. At what level of output will average cost per unit be a minimum? What is this minimum?

32. Solution: Average-cost function is To find critical values, we set
Chapter 13: Curve Sketching
13.6 Applied Maxima and Minima
Example 3 - Minimizing Average Cost
Solution:
Average-cost function is
To find critical values, we set
is positive when q = 40, which is the only relative extremum.
The minimum average cost is

33. Example 5 - Economic Lot Size
Chapter 13: Curve Sketching
13.6 Applied Maxima and Minima
Example 5 - Economic Lot Size
A company annually produces and sells 10,000 units of a product. Sales are uniformly distributed throughout the year. The company wishes to determine the number of units to be manufactured in each production run in order to minimize total annual setup costs and carrying costs. The same number of units is produced in each run. This number is referred to as the economic lot size or economic order quantity. The production cost of each unit is $20, and carrying costs (insurance, interest, storage, etc.) are estimated to be 10% of the value of the average inventory. Setup costs per production run are $40. Find the economic lot size.

34. Solution: Let q be the number of units in a production run.
Chapter 13: Curve Sketching
13.6 Applied Maxima and Minima
Example 5 - Economic Lot Size
Solution: Let q be the number of units in a production run.
Total of the annual carrying costs and setup is
Setting dC/dq = 0, we get
Since q > 0, there is an absolute minimum at q =
Number of production runs = 10,000/632.5  15.8
16 lots  Economic size = 625 units

35. For what value of t does the maximum number receive benefits?
Chapter 13: Curve Sketching
13.6 Applied Maxima and Minima
Example 7 - Maximizing the Number of Recipients of Health-Care Benefits
An article in a sociology journal stated that if a particular health-care program for the elderly were initiated, then t years after its start, n thousand elderly people would receive direct benefits, where
For what value of t does the maximum number receive benefits?

36. Solution: Setting dn/dt = 0, we have
Chapter 13: Curve Sketching
13.6 Applied Maxima and Minima
Example 7 - Maximizing the Number of Recipients of Health-Care Benefits
Solution: Setting dn/dt = 0, we have
Absolute maximum value of n must occur at t = 0, 4, 8, or 12:
Absolute maximum occurs when t = 12.