DifferentiationCambridge IGCSE Maths: Revision notes
Section 1
What is differentiation?
Differentiation is a method for finding the gradient (rate of change) of a curve at any point, using algebra rather than drawing a tangent by eye.
- The result of differentiating with respect to is written , called the derivative
- is itself a function of — it tells you the gradient of the curve at any given -value
- On this platform, differentiation questions apply only to functions built from terms of the form , where is rational and is a positive integer or zero, with no more than three such terms added together
Section 2
The rule for differentiating
To differentiate a term of the form , multiply by the power and reduce the power by 1:
For a sum of up to three such terms, differentiate each term separately.
Example: Differentiate .
A constant term (e.g. ) differentiates to , since it doesn't change as changes.
Write each term's power and coefficient multiplication explicitly as your method line — this earns the M1 even if a later term is mis-simplified.
A very common error is forgetting that differentiating a constant term gives 0, not the constant itself.
Section 3
Finding gradients using the derivative
Once you have , substitute a specific -value to find the gradient of the curve at that point.
- Differentiate to get
- Substitute the given -value into
- The result is the gradient of the tangent to the curve at that point
Example: Find the gradient of at . At : gradient .
Section 4
Stationary points: maxima and minima
A stationary point (turning point) is a point where the gradient of the curve is zero — the curve is momentarily flat.
- Differentiate to find
- Set and solve for
- Substitute back into the original equation to find the corresponding -value
To decide whether a stationary point is a maximum or a minimum, use any valid method:
- Inspect the gradient just before and just after the point (positive→negative = maximum; negative→positive = minimum)
- Use the second derivative (not required by name, but checking sign either side is always valid)
- Consider an accurate sketch of the curve's shape
Example: For , , . Gradient is negative just before and positive just after, so is a minimum.
Points of inflection are not required on this specification — you only need to classify stationary points as maxima or minima.
Must Know
- Differentiating gives ; differentiate each term of a sum separately
- A constant term differentiates to 0
- Substituting an -value into gives the gradient of the curve at that point
- Stationary points occur where
- Classify stationary points as maxima or minima by checking the gradient sign either side of the point
- Only functions with terms of the form (n a positive integer or zero, up to three terms) are examined
That's the notes covered.
Carry on to the next subtopic.