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Pure · Differentiation

Chapter 1 · 4

The idea

Stationary points (maxima and minima)

Where a curve is momentarily flat — found by setting dy/dx = 0 — and how the second derivative tells a maximum from a minimum, plus reading off where a curve is increasing or decreasing.

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Pure · Differentiation

Stationary points (maxima and minima)

Where a curve is momentarily flat — found by setting dy/dx = 0 — and how the second derivative tells a maximum from a minimum, plus reading off where a curve is increasing or decreasing.

Why it works

Flat for an instant

A stationary point is a spot where the curve is, for an instant, perfectly flat — its gradient is zero. Since the gradient is dydx\frac{dy}{dx}, finding stationary points is a single step: set dydx=0\frac{dy}{dx} = 0 and solve. (Not y=0y = 0 — that finds where the curve crosses the xx-axis, a completely different thing.)

Full coordinates

That usually gives more than one answer — a cubic's gradient is a quadratic, so expect up to two stationary points — and each xx needs its yy put back in (using the original equation, not the derivative) to give full coordinates. Half a coordinate is half the marks.

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The rest of the explanation, plus 2 worked examples you step through move by move.

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