The Second Derivative Test#
Using the Second Derivative to Classify Critical Points#
The Second Derivative Test
Suppose \(c\) is a critical point of \(f\) where \(f'(c) = 0\) and \(f''(x)\) is continuous near \(x=c\).
If \(f''(c) > 0\), then \(f(x)\) has a relative minimum at \(x=c\).
If \(f''(c) < 0\), then \(f(x)\) has a relative maximum at \(x=c\).
If \(f''(c) = 0\), then the test is inconclusive and the First Derivative Test should be used instead.
Example 1#
Classifying critical points using the second derivative test
Find the relative extrema of \(f(x) = 12 x^5 - 45 x^4 - 200 x^3 +12\).
Step 1: Find the critical points of \(f\).
which equals zero when \(x=-2\), \(x=0\), and \(x=5\). Also note that \(f'(x)\) exists for all \(x\) in the domain of \(f\). Since the domain of \(f\) is \((-\infty,\infty)\), all of these values of \(x\) are critical points.
Step 2: Compute \(f''(x)\).
Step 3: Evaluate \(f''(x)\) at each critical point.
Evaluate \(f''(x)\) at each critical point where \(f'(x)=0\) and use the Second Derivative Test to classify each critical point, if possible.
\(x=-2\): Since \(f'(-2) = 0\) and \(f''(-2) = 60(-2)(16+18-20) < 0\), \(f\) has a relative maximum at \(x=-2\).
\(x=0\): Since \(f'(0) = 0\) and \(f''(0) = 60(0)(-20) = 0\), the Second Derivative test is inconclusive. Instead, using the First Derivative test, we see there is no change in sign of \(f'(x)\) at \(x=0\), and therefore, \(f\) does not have a relative extreme at \(x=0\).
Long Text Description
A number line with positive and negative signs assigned to intervals, with negative between negative two and zero, and negative between zero and five.
\(x=5\): Since \(f'(5) = 0\) and \(f''(5) = 60(5)(100-45-20) > 0\), \(f\) has a relative minimum at \(x=5\).