Differentiation

A-Level Maths · Pure Mathematics

What differentiation is

Differentiation finds the gradient function (derivative) of a curve — the rate at which y changes with x. The derivative is written dy/dx or f′(x), and it gives the gradient of the tangent at any point.

The power rule

For y = axⁿ:

dy/dx = anx^(n−1)

"Multiply by the power, then reduce the power by one."

  • Example: y = 3x⁴ → dy/dx = 12x³.
  • Constants differentiate to 0; y = x → dy/dx = 1.
  • Rewrite roots and fractions as powers first: √x = x^(1/2), 1/x = x⁻¹.

Second derivative

Differentiate again to get d²y/dx² (f″(x)) — the rate of change of the gradient.

Stationary points

At a stationary point, the gradient is zero: dy/dx = 0. Solve this to find their x-coordinates. Classify them using the second derivative:

  • d²y/dx² > 0 → minimum (gradient increasing).
  • d²y/dx² < 0 → maximum (gradient decreasing).
  • = 0 → test further (could be a point of inflection).

Tangents and normals

  • Tangent at a point: gradient = dy/dx there; use y − y₁ = m(x − x₁).
  • Normal is perpendicular to the tangent: its gradient = −1 ÷ (dy/dx).

Derivatives to learn

FunctionDerivative
xⁿnx^(n−1)
eˣeˣ
ln x1/x
sin xcos x
cos x−sin x

Worked example

Find the stationary point of y = x² − 6x + 5 and determine its nature.

  • dy/dx = 2x − 6 = 0 → x = 3; y = 9 − 18 + 5 = −4 → point (3, −4).
  • d²y/dx² = 2 > 0 → minimum. ✓

Common mistakes

  • Forgetting to reduce the power after multiplying.
  • Not rewriting roots/fractions as powers before differentiating.
  • Misclassifying stationary points (positive 2nd derivative = minimum).

Exam tips

  • Rewrite the function in index form before differentiating.
  • Set dy/dx = 0 for stationary points; use the second derivative to classify.
  • For a normal, use the negative reciprocal of the tangent gradient.

Key facts to remember

  • Power rule: d/dx(axⁿ) = anx^(n−1); learn derivatives of eˣ, ln x, sin x, cos x.
  • Stationary points where dy/dx = 0; classify with d²y/dx² (>0 min, <0 max).
  • Tangent gradient = dy/dx; normal gradient = −1/(dy/dx).
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