CAIE A-Level · Mathematics 9709 · Differentiation

Implicit Differentiation — Pure Mathematics 3 (9709)

11 min readSyllabus 3.4PreviewBy Uzair Khan

Syllabus objective

Find and use the first derivative of a function which is defined implicitly, including use in problems involving tangents and normals. E.g. x² + y² = xy + 7.

Introduction

Most functions encountered so far are explicit — written in the form y=f(x)y = f(x), where yy is isolated on one side. However, many curves are defined by an equation linking xx and yy that cannot easily (or at all) be rearranged into explicit form. For example, the curve x2+y2=xy+7x^2 + y^2 = xy + 7 relates xx and yy but it is not straightforward to write yy as a function of xx.

Implicit differentiation is the technique that allows us to find dydx\dfrac{\mathrm{d}y}{\mathrm{d}x} directly from such an equation, without rearranging. It is a reliable source of marks in 9709 Paper 3, frequently appearing in tangent/normal questions worth 6–9 marks.


Core Concept

The key idea is to differentiate both sides of the equation with respect to xx, treating yy as a function of xx and applying the chain rule whenever a term in yy is differentiated.

The Chain Rule for terms in yy

For any function of yy:

ddx[f(y)]=f(y)dydx\frac{\mathrm{d}}{\mathrm{d}x}\bigl[f(y)\bigr] = f'(y)\,\frac{\mathrm{d}y}{\mathrm{d}x}

This is because yy depends on xx, so the chain rule gives ddx[f(y)]=dfdydydx\dfrac{\mathrm{d}}{\mathrm{d}x}[f(y)] = \dfrac{\mathrm{d}f}{\mathrm{d}y} \cdot \dfrac{\mathrm{d}y}{\mathrm{d}x}.

Mixed terms — the Product Rule

When a term contains both xx and yy (e.g. xyxy, x2yx^2 y), differentiate using the product rule:

ddx(xy)=y+xdydx\frac{\mathrm{d}}{\mathrm{d}x}(xy) = y + x\,\frac{\mathrm{d}y}{\mathrm{d}x}

General procedure

  1. Differentiate every term on both sides with respect to xx.
  2. Collect all terms containing dydx\dfrac{\mathrm{d}y}{\mathrm{d}x} on one side.
  3. Factorise and solve for dydx\dfrac{\mathrm{d}y}{\mathrm{d}x}.
  4. Substitute the coordinates of a given point to find the gradient at that point.

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