P2.7 - Differentiation

Syllabus
2019
Topic
P2.7
Level
AS

Read curve behaviour from the derivative

The derivative f(x)f'(x) is the gradient of a curve. Its sign tells whether the function rises or falls, while a stationary point is a point where f(x)=0f'(x)=0.

f(x)>0f increasing,f(x)<0f decreasingf'(x)>0\Rightarrow f\text{ increasing},\qquad f'(x)<0\Rightarrow f\text{ decreasing}

Sign of ff' around x=cx=c Stationary-point type
positive then negative local maximum
negative then positive local minimum
no sign change stationary point of inflection

When f(c)=0f'(c)=0, the second derivative gives a quick local test: f(c)<0f''(c)<0 indicates a maximum and f(c)>0f''(c)>0 a minimum. If f(c)=0f''(c)=0, this test is inconclusive, so use the sign of ff'.

For f(x)=x33x29x+5f(x)=x^3-3x^2-9x+5, f(x)=3(x+1)(x3).f'(x)=3(x+1)(x-3). Thus the stationary points are (1,10)(-1,10) and (3,22)(3,-22). The derivative is positive for x<1x<-1, negative for 1<x<3-1<x<3, and positive for x>3x>3; therefore the first point is a local maximum and the second a local minimum.

For a curve sketch, combine stationary coordinates and increasing/decreasing intervals with intercepts and end behaviour. In a practical optimisation on a restricted domain, compare the objective value at every feasible stationary point and included endpoint, then state the maximum or minimum with its units and context.

The equation f(x)=0f'(x)=0 finds candidates, not automatically extrema. A stationary inflection is possible, and an endpoint can give the global optimum even though its derivative is not zero.