<< Chapter < Page Chapter >> Page >

Use the first derivative test to locate all local extrema for f ( x ) = x 3 + 3 2 x 2 + 18 x .

f has a local minimum at −2 and a local maximum at 3 .

Got questions? Get instant answers now!

Using the first derivative test

Use the first derivative test to find the location of all local extrema for f ( x ) = 5 x 1 / 3 x 5 / 3 . Use a graphing utility to confirm your results.

Step 1. The derivative is

f ( x ) = 5 3 x −2 / 3 5 3 x 2 / 3 = 5 3 x 2 / 3 5 x 2 / 3 3 = 5 5 x 4 / 3 3 x 2 / 3 = 5 ( 1 x 4 / 3 ) 3 x 2 / 3 .

The derivative f ( x ) = 0 when 1 x 4 / 3 = 0 . Therefore, f ( x ) = 0 at x = ± 1 . The derivative f ( x ) is undefined at x = 0 . Therefore, we have three critical points: x = 0 , x = 1 , and x = −1 . Consequently, divide the interval ( , ) into the smaller intervals ( , −1 ) , ( −1 , 0 ) , ( 0 , 1 ) , and ( 1 , ) .

Step 2: Since f is continuous over each subinterval, it suffices to choose a test point x in each of the intervals from step 1 and determine the sign of f at each of these points. The points x = −2 , x = 1 2 , x = 1 2 , and x = 2 are test points for these intervals.

Interval Test Point Sign of f ( x ) = 5 ( 1 x 4 / 3 ) 3 x 2 / 3 at Test Point Conclusion
( , −1 ) x = −2 ( + ) ( ) + = f is decreasing.
( −1 , 0 ) x = 1 2 ( + ) ( + ) + = + f is increasing.
( 0 , 1 ) x = 1 2 ( + ) ( + ) + = + f is increasing.
( 1 , ) x = 2 ( + ) ( ) + = f is decreasing.

Step 3: Since f is decreasing over the interval ( , −1 ) and increasing over the interval ( −1 , 0 ) , f has a local minimum at x = −1 . Since f is increasing over the interval ( −1 , 0 ) and the interval ( 0 , 1 ) , f does not have a local extremum at x = 0 . Since f is increasing over the interval ( 0 , 1 ) and decreasing over the interval ( 1 , ) , f has a local maximum at x = 1 . The analytical results agree with the following graph.

The function f(x) = 5x1/3 – x5/3 is graphed. It decreases to its local minimum at x = −1, increases to x = 1, and then decreases after that.
The function f has a local minimum at x = −1 and a local maximum at x = 1 .
Got questions? Get instant answers now!
Got questions? Get instant answers now!

Use the first derivative test to find all local extrema for f ( x ) = x 1 3 .

f has no local extrema because f does not change sign at x = 1 .

Got questions? Get instant answers now!

Concavity and points of inflection

We now know how to determine where a function is increasing or decreasing. However, there is another issue to consider regarding the shape of the graph of a function. If the graph curves, does it curve upward or curve downward? This notion is called the concavity    of the function.

[link] (a) shows a function f with a graph that curves upward. As x increases, the slope of the tangent line increases. Thus, since the derivative increases as x increases, f is an increasing function. We say this function f is concave up. [link] (b) shows a function f that curves downward. As x increases, the slope of the tangent line decreases. Since the derivative decreases as x increases, f is a decreasing function. We say this function f is concave down.

Definition

Let f be a function that is differentiable over an open interval I . If f is increasing over I , we say f is concave up    over I . If f is decreasing over I , we say f is concave down    over I .

This figure is broken into four figures labeled a, b, c, and d. Figure a shows a function increasing convexly from (a, f(a)) to (b, f(b)). At two points the derivative is taken and both are increasing, but the one taken further to the right is increasing more. It is noted that f’ is increasing and f is concave up. Figure b shows a function increasing concavely from (a, f(a)) to (b, f(b)). At two points the derivative is taken and both are increasing, but the one taken further to the right is increasing less. It is noted that f’ is decreasing and f is concave down. Figure c shows a function decreasing concavely from (a, f(a)) to (b, f(b)). At two points the derivative is taken and both are decreasing, but the one taken further to the right is decreasing less. It is noted that f’ is increasing and f is concave up. Figure d shows a function decreasing convexly from (a, f(a)) to (b, f(b)). At two points the derivative is taken and both are decreasing, but the one taken further to the right is decreasing more. It is noted that f’ is decreasing and f is concave down.
(a), (c) Since f is increasing over the interval ( a , b ) , we say f is concave up over ( a , b ) . (b), (d) Since f is decreasing over the interval ( a , b ) , we say f is concave down over ( a , b ) .

In general, without having the graph of a function f , how can we determine its concavity? By definition, a function f is concave up if f is increasing. From Corollary 3 , we know that if f is a differentiable function, then f is increasing if its derivative f ( x ) > 0 . Therefore, a function f that is twice differentiable is concave up when f ( x ) > 0 . Similarly, a function f is concave down if f is decreasing. We know that a differentiable function f is decreasing if its derivative f ( x ) < 0 . Therefore, a twice-differentiable function f is concave down when f ( x ) < 0 . Applying this logic is known as the concavity test    .

Practice Key Terms 7

Get Jobilize Job Search Mobile App in your pocket Now!

Get it on Google Play Download on the App Store Now




Source:  OpenStax, Calculus volume 1. OpenStax CNX. Feb 05, 2016 Download for free at http://cnx.org/content/col11964/1.2
Google Play and the Google Play logo are trademarks of Google Inc.

Notification Switch

Would you like to follow the 'Calculus volume 1' conversation and receive update notifications?

Ask