Chapter 14

Applications of Differentiation

Using derivatives for tangents, normals, stationary points, increasing/decreasing behaviour and rates of change.

Tangents, normals and stationary points

The derivative gives the gradient of a curve, so it is used to find tangents and normals and to locate turning points. A stationary point occurs where dy⁄dx = 0.

Key idea

At a stationary point dy⁄dx = 0. Use the second derivative to classify it: if d2y⁄dx2 > 0 it is a minimum; if d2y⁄dx2 < 0 it is a maximum.

Increasing, decreasing and rates of change

A function is increasing where dy⁄dx > 0 and decreasing where dy⁄dx < 0. The chain rule links connected rates of change; for example, dA⁄dt = (dA⁄dr)(dr⁄dt).

Worked example

For y = x2 − 6x + 5, dy⁄dx = 2x − 6 = 0 gives x = 3. Since d2y⁄dx2 = 2 > 0 this is a minimum. The minimum value is y = 9 − 18 + 5 = −4.

Remember

  • Set dy⁄dx = 0 to find stationary points, then test the nature.
  • The normal gradient is −1⁄(tangent gradient).
  • For connected rates, build a chain of derivatives.

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