Stationary Points
A stationary point has zero gradient
At a stationary point the tangent is horizontal, so . Solving this gives the -coordinate. Substitute into the original function to find the height .
Worked example
Find the stationary points of y = x³ − 3x.
and , so the points are and . Substitution into the derivative would only give zero again.
Decide whether it is a maximum or a minimum
A local maximum is higher than nearby curve points; a local minimum is lower. “Local” does not mean greatest or least on the whole graph.
Read left to right. A positive-to-negative gradient gives rise then fall: a maximum. A negative-to-positive gradient gives fall then rise: a minimum. This is the first derivative test.
The second derivative measures how the gradient changes. At a stationary point, means the gradient is decreasing through zero: a maximum. If , it is increasing through zero: a minimum.
Worked example
Classify the two points just found.
. At , : maximum at . At , : minimum at .
Common mistake
Find the stationary points of and determine their nature.
Show worked answer
Substitute into the curve: , . Now gives at 2 and at 5.
If the second derivative is zero
The second derivative test gives no decision when . Use the sign of the first derivative immediately on either side, without crossing another zero or an excluded value.
Worked example
y = (x − 1)⁴ has a stationary point at (1, 0).
and . Although , changes from negative to positive at 1. The point is a minimum.
For , is positive on both sides of zero. The stationary point is neither a maximum nor a minimum. A horizontal tangent need not be a turn.
Classify the stationary point of . Explain why the second derivative alone is insufficient.
Show worked answer
At , and . But changes from positive to negative, so is a maximum.
