5.7 Using the Second Derivative Test to Determine Extrema

Syllabus
2020
Topic
5.7
Level

Learning objectives

Classify a Critical Point with $f''$

The Second Derivative Test uses concavity to classify a stationary critical point. First verify that f(c)=0f'(c)=0 and that f(c)f''(c) exists. Then the sign of f(c)f''(c) tells whether the graph bends upward or downward at x=cx=c.

Value of f(c)f''(c) Concavity near cc Conclusion
f(c)>0f''(c)>0 concave up local minimum at x=cx=c
f(c)<0f''(c)<0 concave down local maximum at x=cx=c
f(c)=0f''(c)=0 not determined test is inconclusive

Solve f(x)=0f'(x)=0 for the stationary critical points, calculate f(c)f''(c) at each one, and state the sign-based conclusion. If f(c)=0f''(c)=0 or does not exist, use another method such as the First Derivative Test; do not force a classification.

For f(x)=x2+4x+1f(x)=x^2+4x+1, f(x)=2x+4f'(x)=2x+4, so the only critical point is c=2c=-2. Since f(x)=2>0f''(x)=2>0, ff has a local minimum at x=2x=-2. The polynomial is continuous on (,)(-\infty,\infty) and has only this one critical point, so the local minimum is also the absolute minimum; its value is f(2)=3f(-2)=-3.

The global conclusion needs all of its own conditions: continuity on the interval, exactly one critical point there, and proof that this point is a local extremum. Also, f(c)=0f''(c)=0 does not mean “no extremum”; it means this test gives no answer.