Applications of derivatives

NUST NET Maths · Maths · Differentiation. The idea in plain words, the rules to remember, the mistake to avoid and a worked example, written and checked by Mega Lecture.

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The idea

The derivative f′(a) is the gradient of the tangent to the curve at x = a. The normal is the line at right angles to the tangent at the same point, so its gradient is −1/f′(a).

The sign of f′(x) tells you the behaviour of the function: positive means increasing, negative means decreasing. Where f′(x) = 0 the curve has a stationary point, and the second derivative tells you whether it is a maximum or a minimum.

A derivative is also a rate. With time as the variable, link two rates using the chain rule. For a small change δx, the change in y is close to f′(x) × δx.

Rules to remember

Common mistake

Giving the x-value when the question asks for the maximum or minimum value. The value is f(x) at that point, so substitute x back into the original function, not into f′.

Worked example

Find the local minimum value of f(x) = x3 − 6x2 + 9x + 1.

  1. f′(x) = 3x2 − 12x + 9 = 3(x − 1)(x − 3), so f′(x) = 0 at x = 1 and x = 3.
  2. f″(x) = 6x − 12: f″(1) = −6 (maximum), f″(3) = 6 (minimum).
  3. f(3) = 27 − 54 + 27 + 1 = 1.

Answer: The local minimum value is 1, at x = 3.

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