JC · H2 Mathematics · Study guide
Work from derivative conditions to stationary-point tests, first-derivative graph reading, related rates and complete geometric optimisation models.
Turn the question into a derivative condition
A stationary point requires a zero first derivative. A maximum or minimum also needs a nature test. A rate question needs a relation between the changing quantities. An optimisation question first needs the quantity to be maximised or minimised written in one variable.
Find the point and determine its nature
A parameter and a restricted domain
For , where and , find the stationary point and show that it is a minimum.
The negative root is outside the domain. Substitute the positive root into the original function:
Therefore the stated point is a minimum. In fact the function is concave upwards throughout its domain, so there is only one stationary point.
When the second derivative test is inconclusive
Classify the stationary points of and .
Both have zero first and second derivatives at , so the second derivative test gives no conclusion. Examine signs on either side:
| Function | f′ sign change | Nature |
|---|---|---|
| x⁴ | − → + | minimum |
| x³ | + → + | no extremum |
For , changes from negative to positive: the concavity changes. Thus is a stationary point of inflexion. A zero second derivative by itself does not prove inflexion.
Read the graph of the first derivative
Height gives increasing; slope gives concavity
A function has . Find where is increasing, locate and classify its stationary points, and find its point of inflexion if .
The sign changes from + to − at , so there is a maximum. It changes from − to + at , so there is a minimum.
The maximum is , the minimum is , and the point of inflexion is , since the concavity changes at 0. It is not stationary because .
On the derivative graph below, being above the axis tells you f is increasing. A rising derivative graph tells you f is concave upwards. These are different observations.
x = 0.0: f′ = −1.00, so f is decreasing. f′′ = 0.00; the concavity changes here.
Rate of Change: WANT, GIVEN, NEED
Water rises in a trough
A trough is 50 cm long. Its cross-section has a horizontal base of width 10 cm and sides that slope outwards at 45° to the horizontal. Water enters at . Find the rates of increase of its depth and surface area when .
WANT: dh/dt. GIVEN: dV/dt = 100. NEED: dV/dh. The sides extend h cm horizontally on each side, so the water surface has width .
Use the relation before substituting ; otherwise the changing quantity disappears.
The surface area is a rectangle, not the trapezium cross-section:
Both rates are positive, as expected when water enters.
An angle is decreasing
A balloon moves horizontally away from the observer at 10 m/s at a fixed height of 400 m above an observer. When its horizontal distance is 100 m, find the rate of change of its angle of elevation .
The signed rate is negative. If asked for the rate of decrease, give the positive magnitude 2/85 rad/s.
Maxima and Minima: form one-variable models
Choose a box size from a sheet
Equal squares of side cm are cut from the corners of a 30 cm by 18 cm sheet. The sides are folded up to form an open box. Find the maximum volume.
The dimensions are , and . All must be positive, so .
Only lies in . Test its nature:
The volume tends to zero as or , so this interior maximum is the greatest possible volume.
Report the volume when asked for volume, and include the cut size when it is useful for making the box.
Optimise a trigonometric model
A 50 cm long trough is made from a strip whose base and two sides are each 10 cm wide. The sides slope outwards at an acute angle to the horizontal. Find the greatest capacity.
On , the second factor is positive. The derivative changes from positive to negative when , so gives the global maximum on this interval.
The same trough supplies both a rate model and an optimisation model, but the quantity held fixed differs: the first problem fixes the side angle; this one varies it.
Tangent conditions in applications
If an application asks for a tangent parallel to a given line, equate dy/dx to that line’s gradient and solve within the allowed domain. For a normal, use the negative reciprocal when the tangent gradient is finite and non-zero. Horizontal and vertical cases require their line equations directly.
Use the Differentiation Techniques guide for complete tangent, normal and further-intersection applications.
Before you finish
Give coordinates when asked for a point. Justify a maximum or minimum, check the permitted interval and any endpoint values, keep signed rates until interpretation, and include units.