Study Guide

Stationary Points, Rates of Change and Optimisation

CIE IGCSE Additional MathematicsΒ· 14.6, 14.7, 14.8, 14.9Β· 27 min read

1. Identifying Stationary Pointsβ˜…β˜…β˜†β˜†β˜†β± 5 min

πŸ“˜ Definition

Stationary Point

A point on a curve where the gradient is equal to zero, i.e. .

Example:

The vertex of the parabola is a stationary point at .

To find stationary points, first calculate the first derivative of the function with respect to . Set the derivative equal to zero, then solve the resulting equation for . Substitute the -value back into the original function to find the corresponding -coordinate of the point.

πŸ“ Worked Example

Find the stationary point of the function .

  1. 1

    Calculate the first derivative of with respect to

    dydx=4xβˆ’8\frac{dy}{dx} = 4x - 8
  2. 2

    Set the derivative equal to zero and solve for

    4xβˆ’8=0β€…β€ŠβŸΉβ€…β€Šx=24x - 8 = 0 \implies x = 2
  3. 3

    Substitute into the original function to find

    y=2(2)2βˆ’8(2)+3=8βˆ’16+3=βˆ’5y = 2(2)^2 - 8(2) + 3 = 8 - 16 + 3 = -5
  4. 4

    State the stationary point coordinates

    (2,βˆ’5)(2, -5)

2. Classifying Stationary Points (Maxima/Minima)β˜…β˜…β˜…β˜†β˜†β± 5 min

πŸ“˜ Definition

Second Derivative Test

is the second derivative of with respect to

A fast method to classify stationary points: if at the point, it is a maximum; if , it is a minimum. If , use the first derivative test instead.

The first derivative test is an alternative classification method: check the sign of just before and just after the stationary point. If the sign changes from positive to negative, the point is a maximum. If the sign changes from negative to positive, the point is a minimum.

πŸ“ Worked Example

Classify the stationary point of found in the previous example.

  1. 1

    Calculate the second derivative of with respect to

    d2ydx2=4\frac{d^2y}{dx^2} = 4
  2. 2

    Evaluate the second derivative at

    d2ydx2=4>0\frac{d^2y}{dx^2} = 4 > 0
  3. 3

    Conclusion: the stationary point is a minimum

3. Connected Rates of Changeβ˜…β˜…β˜…β˜†β˜†β± 6 min

βœ“ Calculator OK

Connected rates of change use the chain rule to link the rate of change of one quantity to another, where both quantities are related by a known formula (e.g. area, volume). The general form is , where usually represents time.

πŸ“ Worked Example

The radius of a circular ripple increases at a constant rate of cm/s. Find the rate at which the area of the ripple is increasing when cm.

  1. 1

    Write the formula for the area of a circle

    A=Ο€r2A = \pi r^2
  2. 2

    Differentiate with respect to

    dAdr=2Ο€r\frac{dA}{dr} = 2\pi r
  3. 3

    We know cm/s, apply the chain rule to find

    dAdt=dAdrΓ—drdt=2Ο€rΓ—2=4Ο€r\frac{dA}{dt} = \frac{dA}{dr} \times \frac{dr}{dt} = 2\pi r \times 2 = 4\pi r
  4. 4

    Substitute cm and add units

    dAdt=20Ο€ cm2/s\frac{dA}{dt} = 20\pi \text{ cm}^2/\text{s}

4. Small Increments Approximationβ˜…β˜…β˜†β˜†β˜†β± 4 min

For very small changes in , the corresponding change in can be approximated using the formula . This works because the gradient of the curve is approximately constant over extremely small intervals.

πŸ“ Worked Example

Use the small increments formula to approximate the change in when increases from 2 to 2.01.

  1. 1

    Calculate the first derivative of with respect to

    dydx=3x2\frac{dy}{dx} = 3x^2
  2. 2

    Evaluate the derivative at the starting value

    dydx=3(2)2=12\frac{dy}{dx} = 3(2)^2 = 12
  3. 3

    Calculate the small change in

    Ξ΄x=2.01βˆ’2=0.01\delta x = 2.01 - 2 = 0.01
  4. 4

    Compute the approximate change in

    Ξ΄yβ‰ˆ12Γ—0.01=0.12\delta y \approx 12 \times 0.01 = 0.12

5. Practical Optimisation Problemsβ˜…β˜…β˜…β˜…β˜†β± 7 min

Optimisation problems require you to find the maximum or minimum value of a practical quantity (e.g. area, volume, cost) subject to given constraints. Follow these steps: 1) Define your variables clearly, 2) Write an expression for the quantity you need to optimise, 3) Use the constraint to reduce the expression to a single variable, 4) Differentiate and find stationary points, 5) Classify the stationary point, 6) Answer the question with appropriate units.

πŸ“ Worked Example

A rectangular garden is fenced on 3 sides, with a house wall forming the fourth side. If 20 m of fencing is available, find the maximum possible area of the garden.

  1. 1

    Define variables: let = width perpendicular to the wall, = length parallel to the wall. Fencing constraint:

  2. 2

    Write expression for area and reduce to one variable

    A=xy=x(20βˆ’2x)=20xβˆ’2x2A = xy = x(20 - 2x) = 20x - 2x^2
  3. 3

    Differentiate with respect to and set equal to zero to find stationary points

    dAdx=20βˆ’4x=0β€…β€ŠβŸΉβ€…β€Šx=5 m\frac{dA}{dx} = 20 - 4x = 0 \implies x = 5 \text{ m}
  4. 4

    Classify the stationary point using the second derivative test

    d2Adx2=βˆ’4<0β€…β€ŠβŸΉβ€…β€Šmaximum at x=5\frac{d^2A}{dx^2} = -4 < 0 \implies \text{maximum at } x=5
  5. 5

    Calculate maximum area and add units

    A=20(5)βˆ’2(5)2=50 m2A = 20(5) - 2(5)^2 = 50 \text{ m}^2

6. Common Pitfalls

Wrong move:

Using the derivative instead of the original function to find the -coordinate of a stationary point

Why:

The derivative equals zero at all stationary points, so you will incorrectly get instead of the actual coordinate.

Correct move:

Always substitute the -value of the stationary point into the original function to find the corresponding -value.

Wrong move:

Treating a stationary point with as a point of inflexion

Why:

Points of inflexion are explicitly excluded from the 0606 syllabus, and you are only required to classify points as maxima or minima.

Correct move:

Use the first derivative test to check the sign change of either side of the point to classify it as a maximum or minimum.

Wrong move:

Omitting units from rates of change or optimisation answers

Why:

Exam questions award explicit marks for correct units, so omitting them loses easy, guaranteed marks.

Correct move:

Check the units of all given quantities and include the appropriate unit in your final answer.

Wrong move:

Mixing up the order of terms in the chain rule for connected rates of change

Why:

Incorrect order leads to invalid units and wrong numerical values for the rate you are calculating.

Correct move:

Use dimensional analysis to verify your final rate has the correct units (e.g. area rate should be in unitΒ² per time).

Wrong move:

Failing to classify the stationary point in optimisation problems

Why:

Full marks are only awarded if you justify that the point you found is the required maximum or minimum, not just any stationary point.

Correct move:

Apply either the first or second derivative test to classify the stationary point before giving your final answer.

7. Quick Reference Cheatsheet

Concept

Formula / Method

Key Note

Identify stationary points

Set , solve for , substitute to get

Use original function for -value

Second derivative test

max, min

If , use first derivative test

Connected rates of change

Always include units in final answer

Small increments

Only valid for very small

Optimisation

Define variables β†’ write objective function β†’ differentiate β†’ classify point

Reduce objective function to one variable first

8. Frequently Asked

Do I need to learn about points of inflexion for 0606?

No, points of inflexion are explicitly excluded from the 0606 syllabus. You only need to classify stationary points as maxima or minima.

Can I use either the first or second derivative test to classify stationary points?

Yes, both are accepted unless the question specifies a particular method. Use the second derivative test where possible for faster working, and use the first derivative test if at the stationary point.

Going deeper

What's Next

Now that you have mastered stationary points, rates of change and optimisation, you are ready to progress to the next set of calculus topics in CIE IGCSE Additional Mathematics 0606. Next, you will learn integration fundamentals, including how to integrate polynomial, exponential and trigonometric functions, and apply integration to find areas under and between curves. These topics are also heavily tested on both Paper 1 (non-calculator) and Paper 2 (calculator). Practice past paper questions focused on differentiation applications to reinforce your understanding and identify any knowledge gaps before your exam.