Year 1 Pure · Chapter 13
Applications of Differentiation
Specification: Edexcel Pure 7 — Differentiation · AQA section G
In this chapter
Key facts — this chapter
- The tangent at a point has gradient there; the normal is perpendicular, with gradient .
- A stationary point is where — the curve is momentarily flat.
- Classify with the second derivative: is a maximum, is a minimum.
- A curve is increasing where and decreasing where .
- Optimisation: write the quantity as a function of one variable, differentiate, set it to , and solve — then check it’s the max/min you want.
Chapter 12 gave you the derivative; this chapter spends it. Knowing the gradient at every point lets you draw tangents, find a curve’s peaks and troughs, and solve the classic “what’s the biggest/cheapest/fastest?” problems.
1. Tangents and normals
The derivative gives the gradient of the tangent at a point. From there it’s just straight-line geometry (Chapter 4).
Key result
At the point on the curve:
- the tangent has gradient there, and equation ;
- the normal is perpendicular to it, with gradient .
Worked example 13.1 · Tangent and normal at a point
Find the equations of the tangent and normal to at the point where .
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The point: at , , so it’s .
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The gradient there: , so at , .
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Tangent (gradient through ):
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Normal (gradient through ):
2. Stationary points
A stationary point is where the curve flattens out — a maximum, a minimum, or a point of inflection. All of them share one feature: the gradient is zero.
Key result
To find stationary points: solve . Each solution is the -coordinate of a stationary point; substitute back into for its height.
Worked example 13.2 · Finding the stationary points
Find the coordinates of the stationary points of .
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Differentiate and set to zero:
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Find the -values: ; .
So the stationary points are and .
3. Maximum or minimum?
Finding a stationary point is half the job; you also need to know which kind. The fastest test is the second derivative.
Key result
At a stationary point, look at :
- — a maximum (gradient is decreasing through it: the curve is bending down);
- — a minimum (gradient increasing: bending up).
(If it’s zero, the test is inconclusive — check the gradient either side instead.)
Worked example 13.3 · Classifying the stationary points
Classify the stationary points of from Example 13.2.
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The second derivative:
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Test each point:
- at : , so is a maximum;
- at : , so is a minimum.
Common mistake
Substitute the stationary point’s into the second derivative, not the first (which is zero there by definition, so tells you nothing). And the sign is what matters — a negative second derivative means a maximum, which catches people out.
4. Optimisation
The big payoff: real problems asking for the largest area, smallest cost, maximum volume. The plan is always the same — get the quantity as a function of one variable, then differentiate to find the turning point.
The optimisation routine
- Write the quantity to optimise as a function of one variable (use any given constraint to eliminate the others).
- Differentiate and set ; solve for the variable.
- Check it’s the max (or min) you want — the second derivative, or context.
- Answer the question actually asked (often the optimal value, not just where).
Cut a square of side x from each corner of a 12 × 12 sheet and fold up the sides. Vary x and watch the volume V = x(12 − 2x)² — it peaks where dV/dx = 0.
the dot is your current x · the curve peaks at x = 2, V = 128 cm³
Worked example 13.4 · The largest open box
An open box is made from a square of card by cutting a square of side from each corner and folding up the sides. Find the value of that maximises the volume, and the maximum volume.
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After cutting and folding, the base is by and the height is , so
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Expand and differentiate:
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Set :
So or . But leaves no base (), so .
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Confirm it’s a maximum: , which at is — a maximum. ✓
The maximum volume is .
Common mistake
Don’t stop at . Always discard solutions that don’t make physical sense (here gives a flat box), confirm you’ve found a maximum, and read the question — it usually wants the maximum volume, not just the .
Practice
Twelve questions in three tiers. Try each one properly before opening the solution — the solutions show full method, not just answers.
Warm-up
Find the equation of the tangent to at the point .
Show solution
, so at the gradient is . Tangent through :
Find the -coordinates of the stationary points of .
Show solution
. (One stationary point, at .)
A curve has . State whether it is increasing or decreasing at (a) , (b) .
Show solution
(a) At : , so decreasing.
(b) At : , so increasing.
The curve has a stationary point. Find its coordinates and use the second derivative to state its nature.
Show solution
, . Point .
, so it is a minimum.
Standard
Find the equation of the normal to at the point where .
Show solution
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At : , so the point is .
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, so the tangent gradient at is ; the normal gradient is .
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Normal through :
Find and classify the stationary points of .
Show solution
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, so or .
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Heights: ; .
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Classify with :
- at : , so is a maximum;
- at : , so is a minimum.
The curve has a tangent that is parallel to the -axis. Find the coordinates of the points where this happens.
Show solution
A tangent parallel to the -axis has gradient :
Heights: ; .
Points: and .
A farmer has m of fencing to enclose a rectangular pen against a wall (so only three sides are fenced). If the side perpendicular to the wall is m, the area is .
- Find the value of that maximises the area. [3]
- Find the maximum area. [2]
Show solution
(a) Expand and differentiate:
(, confirming a maximum.)
(b) .
Show that the curve has no stationary points.
Show solution
. Stationary points need this to be zero, so check its discriminant:
The quadratic has no real roots, so is never zero — there are no stationary points. (Indeed everywhere, so the curve is always increasing.) ∎
Exam style
The curve has equation .
- Find the coordinates of the two stationary points of . [3]
- Determine the nature of each. [2]
- Find the equation of the tangent to at . [1]
Show solution
(a) . At : . At : . Points: and .
(b) : at , (maximum); at , (minimum).
(c) At : and the gradient is . Tangent: .
A closed cylinder has radius and a fixed volume. Its surface area is modelled by (in cm²).
- Find . [2]
- Find the value of that minimises the surface area, to 3 s.f. [3]
- Verify it is a minimum. [1]
Show solution
(a) Write :
(b) Set :
(c) for , so it is a minimum. ✓
A rectangle has its base on the -axis and its top two corners on the curve (with on the right). The corners are at and , so its area is .
- Find the value of that maximises the area. [4]
- Find the maximum area. [2]
Show solution
(a) Expand and differentiate:
(taking ; confirms a maximum).
(b) .