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Applications of differentiation

Flat tangents mark the turning points.

A derivative isn't only a gradient — it's a detector. Where it is zero, the curve stops climbing or falling. Those moments are its peaks and troughs, and finding them is how you find the best of anything.

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Stationary points

dydx=0\frac{dy}{dx} = 0

Wherever the tangent goes flat, the lower graph crosses zero. For y=x3−3xy = x^3 - 3x that happens twice: at x=−1x = -1 and x=1x = 1.

Maximum or minimum?

d2ydx2=6x\frac{d^2y}{dx^2} = 6x

The second derivative says which way the curve bends. At x=−1x = -1 it's −6<0-6 < 0: bending down, so (−1, 2)(-1,\,2) is a maximum. At x=1x = 1 it's 6>06 > 0: bending up, so (1, −2)(1,\,-2) is a minimum.

Optimisation

A 12 cm square of card. Cut a square of side xx from each corner and fold up the sides: the base is (12−2x)2(12 - 2x)^2, the height xx,

V=x(12−2x)2V = x(12 - 2x)^2

Small xx: a flat tray. Big xx: a tall, thin tube. The best box is in between.

The best box

Cut 2 cm squares and the box holds 128 cm³ — more than any other cut. Check it really is a maximum: d2Vdx2=−96+24x=−48<0\tfrac{d^2V}{dx^2} = -96 + 24x = -48 < 0 at x=2x = 2.

Chapter 13

Set the derivative to zero. Then check.

Tangents and normals, classifying stationary points, more optimisation, and twelve graded exam questions with full worked solutions are waiting.