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Mathematics (AS & A Level) 9709 · Chapter 7

Differentiation

Paper 1. The gradient as a limit, the power rule and chain rule, tangents and normals, increasing and decreasing functions, rates of change, and stationary points.

Written for the 2026–2027 syllabus · 5 min read

1.7 Differentiation

The gradient of a curve

The gradient of a curve at a point is the gradient of its tangent there. It is the limit of the gradients of chords from that point, as the other end of the chord moves closer and closer.

NotationMeaning
dydx\dfrac{\mathrm{d}y}{\mathrm{d}x} or f′(x)\mathrm{f}'(x)First derivative: the gradient
d2ydx2\dfrac{\mathrm{d}^2y}{\mathrm{d}x^2} or f′′(x)\mathrm{f}''(x)Second derivative: the rate of change of the gradient

The power rule

Rewrite roots and fractions as powers first:

x=x123x2=3x−21x=x−12\sqrt{x} = x^{\frac{1}{2}} \qquad \frac{3}{x^2} = 3x^{-2} \qquad \frac{1}{\sqrt{x}} = x^{-\frac{1}{2}}

y=4x3−3x−2+2x12y = 4x^3 - 3x^{-2} + 2x^{\frac{1}{2}}, so

dydx=12x2+6x−3+x−12\frac{\mathrm{d}y}{\mathrm{d}x} = 12x^2 + 6x^{-3} + x^{-\frac{1}{2}}

The chain rule

For a function of a function, differentiate the outside, keep the inside, then multiply by the derivative of the inside.

ddx(3x+1)4=4(3x+1)3×3=12(3x+1)3\frac{\mathrm{d}}{\mathrm{d}x}(3x + 1)^4 = 4(3x + 1)^3 \times 3 = 12(3x + 1)^3

ddx(2x+1)12=12(2x+1)−12×2=(2x+1)−12\frac{\mathrm{d}}{\mathrm{d}x}(2x + 1)^{\frac{1}{2}} = \tfrac{1}{2}(2x + 1)^{-\frac{1}{2}} \times 2 = (2x + 1)^{-\frac{1}{2}}

Tangents and normals

The tangent has the gradient of the curve at that point. The normal is perpendicular to it.

At x=2x = 2, y=4y = 4 and dydx=3x2−2=10\dfrac{\mathrm{d}y}{\mathrm{d}x} = 3x^2 - 2 = 10.

Tangent: y−4=10(x−2)y - 4 = 10(x - 2), so y=10x−16y = 10x - 16.

Normal: the gradient is −110-\tfrac{1}{10}, so y−4=−110(x−2)y - 4 = -\tfrac{1}{10}(x - 2), which is x+10y=42x + 10y = 42.

Increasing and decreasing functions

ConditionThe function is
f′(x)>0\mathrm{f}'(x) > 0Increasing
f′(x)<0\mathrm{f}'(x) < 0Decreasing

f′(x)=3x2+6x+6=3[(x+1)2+1]\mathrm{f}'(x) = 3x^2 + 6x + 6 = 3\left[(x + 1)^2 + 1\right]. The bracket is always at least 1, so f′(x)>0\mathrm{f}'(x) > 0 for all xx.

Rates of change

When quantities change with time, connect them with the chain rule.

A=πr2A = \pi r^2, so dAdr=2πr=10π\dfrac{\mathrm{d}A}{\mathrm{d}r} = 2\pi r = 10\pi when r=5r = 5.

dAdt=10π×0.2=2π cm2 s−1\frac{\mathrm{d}A}{\mathrm{d}t} = 10\pi \times 0.2 = 2\pi \text{ cm}^2\text{ s}^{-1}

Stationary points

A stationary point is where dydx=0\dfrac{\mathrm{d}y}{\mathrm{d}x} = 0: the tangent is horizontal.

A curve with a maximum and a minimum, showing the gradient changing from positive to negative at the maximum and from negative to positive at the minimum

A curve with a maximum and a minimum, showing the gradient changing from positive to negative at the maximum and from negative to positive at the minimum

Use the second derivative to decide which kind it is:

d2ydx2\dfrac{\mathrm{d}^2y}{\mathrm{d}x^2}Nature
PositiveMinimum
NegativeMaximum
ZeroInconclusive: check the gradient on each side

dydx=3x2−6x−9=3(x−3)(x+1)=0⇒x=3 or x=−1\frac{\mathrm{d}y}{\mathrm{d}x} = 3x^2 - 6x - 9 = 3(x - 3)(x + 1) = 0 \quad\Rightarrow\quad x = 3 \text{ or } x = -1

The points are (3,−22)(3, -22) and (−1,10)(-1, 10). The second derivative is 6x−66x - 6:

  • At x=3x = 3 it is 12>012 > 0, so (3,−22)(3, -22) is a minimum.
  • At x=−1x = -1 it is −12<0-12 < 0, so (−1,10)(-1, 10) is a maximum.

Maximum and minimum problems

Write the quantity in terms of one variable, differentiate, set to zero, and confirm the nature.

If one side is xx, the other is 20−x20 - x, so A=x(20−x)=20x−x2A = x(20 - x) = 20x - x^2.

dAdx=20−2x=0\dfrac{\mathrm{d}A}{\mathrm{d}x} = 20 - 2x = 0 gives x=10x = 10. d2Adx2=−2<0\dfrac{\mathrm{d}^2A}{\mathrm{d}x^2} = -2 < 0, so this is a maximum, and the greatest area is 100 cm².

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