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A function is graphed in the first quadrant. It is broken up into four sections, with the breaks coming at the local minimum, inflection point, and local maximum, respectively. The first section is decreasing and concave up; here, f’ < 0 and f’’ > 0. The second section is increasing and concave up; here, f’ > 0 and f’’ > 0. The third section is increasing and concave down; here, f’ > 0 and f’’ < 0. The fourth section is increasing and concave down; here, f’ < 0 and f’’ < 0.
Consider a twice-differentiable function f over an open interval I . If f ( x ) > 0 for all x I , the function is increasing over I . If f ( x ) < 0 for all x I , the function is decreasing over I . If f ( x ) > 0 for all x I , the function is concave up. If f ( x ) < 0 for all x I , the function is concave down on I .

The second derivative test

The first derivative test provides an analytical tool for finding local extrema, but the second derivative can also be used to locate extreme values. Using the second derivative can sometimes be a simpler method than using the first derivative.

We know that if a continuous function has a local extrema, it must occur at a critical point. However, a function need not have a local extrema at a critical point. Here we examine how the second derivative test    can be used to determine whether a function has a local extremum at a critical point. Let f be a twice-differentiable function such that f ( a ) = 0 and f is continuous over an open interval I containing a . Suppose f ( a ) < 0 . Since f is continuous over I , f ( x ) < 0 for all x I ( [link] ). Then, by Corollary 3 , f is a decreasing function over I . Since f ( a ) = 0 , we conclude that for all x I , f ( x ) > 0 if x < a and f ( x ) < 0 if x > a . Therefore, by the first derivative test, f has a local maximum at x = a . On the other hand, suppose there exists a point b such that f ( b ) = 0 but f ( b ) > 0 . Since f is continuous over an open interval I containing b , then f ( x ) > 0 for all x I ( [link] ). Then, by Corollary 3 , f is an increasing function over I . Since f ( b ) = 0 , we conclude that for all x I , f ( x ) < 0 if x < b and f ( x ) > 0 if x > b . Therefore, by the first derivative test, f has a local minimum at x = b .

A function f(x) is graphed in the first quadrant with a and b marked on the x-axis. The function is vaguely sinusoidal, increasing first to x = a, then decreasing to x = b, and increasing again. At (a, f(a)), the tangent is marked, and it is noted that f’(a) = 0 and f’’(a) < 0. At (b, f(b)), the tangent is marked, and it is noted f’(b) = 0 and f’’(b) > 0.
Consider a twice-differentiable function f such that f is continuous. Since f ( a ) = 0 and f ( a ) < 0 , there is an interval I containing a such that for all x in I , f is increasing if x < a and f is decreasing if x > a . As a result, f has a local maximum at x = a . Since f ( b ) = 0 and f ( b ) > 0 , there is an interval I containing b such that for all x in I , f is decreasing if x < b and f is increasing if x > b . As a result, f has a local minimum at x = b .

Second derivative test

Suppose f ( c ) = 0 , f is continuous over an interval containing c .

  1. If f ( c ) > 0 , then f has a local minimum at c .
  2. If f ( c ) < 0 , then f has a local maximum at c .
  3. If f ( c ) = 0 , then the test is inconclusive.

Note that for case iii. when f ( c ) = 0 , then f may have a local maximum, local minimum, or neither at c . For example, the functions f ( x ) = x 3 , f ( x ) = x 4 , and f ( x ) = x 4 all have critical points at x = 0 . In each case, the second derivative is zero at x = 0 . However, the function f ( x ) = x 4 has a local minimum at x = 0 whereas the function f ( x ) = x 4 has a local maximum at x , and the function f ( x ) = x 3 does not have a local extremum at x = 0 .

Let’s now look at how to use the second derivative test to determine whether f has a local maximum or local minimum at a critical point c where f ( c ) = 0 .

Using the second derivative test

Use the second derivative to find the location of all local extrema for f ( x ) = x 5 5 x 3 .

To apply the second derivative test, we first need to find critical points c where f ( c ) = 0 . The derivative is f ( x ) = 5 x 4 15 x 2 . Therefore, f ( x ) = 5 x 4 15 x 2 = 5 x 2 ( x 2 3 ) = 0 when x = 0 , ± 3 .

To determine whether f has a local extrema at any of these points, we need to evaluate the sign of f at these points. The second derivative is

f ( x ) = 20 x 3 30 x = 10 x ( 2 x 2 3 ) .

In the following table, we evaluate the second derivative at each of the critical points and use the second derivative test to determine whether f has a local maximum or local minimum at any of these points.

x f ( x ) Conclusion
3 −30 3 Local maximum
0 0 Second derivative test is inconclusive
3 30 3 Local minimum

By the second derivative test, we conclude that f has a local maximum at x = 3 and f has a local minimum at x = 3 . The second derivative test is inconclusive at x = 0 . To determine whether f has a local extrema at x = 0 , we apply the first derivative test. To evaluate the sign of f ( x ) = 5 x 2 ( x 2 3 ) for x ( 3 , 0 ) and x ( 0 , 3 ) , let x = −1 and x = 1 be the two test points. Since f ( −1 ) < 0 and f ( 1 ) < 0 , we conclude that f is decreasing on both intervals and, therefore, f does not have a local extrema at x = 0 as shown in the following graph.

The function f(x) = x5 – 5x3 is graphed. The function increases to (negative square root of 3, 10), then decreases to an inflection point at 0, continues decreasing to (square root of 3, −10), and then increases.
The function f has a local maximum at x = 3 and a local minimum at x = 3
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Source:  OpenStax, Calculus volume 1. OpenStax CNX. Feb 05, 2016 Download for free at http://cnx.org/content/col11964/1.2
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