Applications of derivatives · Definition

Local maxima and minima

calculusapplications

Before you start you need to know

Local extrema are the peaks and valleys of a function near each point. To find them, locate the critical points and classify them using derivatives.

Definition

A local maximum of \(f\) at \(c\) is a value \(f(c)\) greater than or equal to the values of \(f\) on some neighborhood of \(c\); a local minimum, less than or equal.

\[f'(c)=0,\ f''(c)>0\ \Rightarrow\ \text{local minimum}\]

A local maximum is a point higher than all its nearby neighbors; a local minimum, lower. They need not be the highest or lowest of the whole function.

For \(f(x)=x^{3}-3x\), the derivative \(f'(x)=3x^{2}-3\) vanishes at \(x=\pm1\). Since \(f''(x)=6x\) equals \(-6\) at \(x=-1\), there is a local maximum there, and at \(x=1\) it equals \(6\), giving a local minimum.

Typical mistake: assuming every point with \(f'(c)=0\) is an extremum. For \(f(x)=x^{3}\), \(f'(0)=0\), but \(f'\) does not change sign, so \(x=0\) is neither a local maximum nor minimum.

Think about it

If \(f'(a)=0\) and \(f''(a)>0\), what is at a?

A local minimum, because the graph is concave up.

Exercises 10

What comes next

References

  • James Stewart, Calculus: Early Transcendentals, 8.ª edición, Cengage Learning, 2015.