Mathematics (9709)
Topic 4 of 9Cambridge A Levels

Pure 1: Differentiation

Differentiation from first principles, standard results, chain/product/quotient rules, stationary points, and applications to optimisation.

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Pure 1: Differentiation — CIE A Level Mathematics 9709


1. Differentiation from First Principles


The derivative of f(x) is defined as:

$$f'(x) = lim_{h o 0} rac{f(x+h) - f(x)}{h}$$


Example: Differentiate f(x) = x² from first principles.

f(x+h) = (x+h)² = x² + 2xh + h²

f'(x) = lim[(x² + 2xh + h² − x²)/h] = lim[2x + h] = 2x


2. Standard Results


| f(x) | f'(x) |

|---|---|

| xⁿ | nxⁿ⁻¹ |

| sin x | cos x |

| cos x | −sin x |

| tan x | sec²x |

| eˣ | eˣ |

| ln x | 1/x |

| aˣ | aˣ ln a |


Power rule: d/dx(xⁿ) = nxⁿ⁻¹ (works for fractional and negative powers too)


3. Rules of Differentiation


Sum/difference rule: d/dx[f(x) ± g(x)] = f'(x) ± g'(x)


Chain rule: For y = f(g(x)): dy/dx = f'(g(x)) × g'(x)


Or: if y = uⁿ, dy/dx = nuⁿ⁻¹ × du/dx


Example: y = (3x² + 1)⁵

dy/dx = 5(3x²+1)⁴ × 6x = 30x(3x² + 1)⁴


Product rule: d/dx[uv] = u(dv/dx) + v(du/dx)


Example: y = x²sin x

dy/dx = x²(cos x) + sin x(2x) = x²cos x + 2x sin x


Quotient rule: d/dx[u/v] = [v(du/dx) − u(dv/dx)] / v²


Example: y = sin x / (x² + 1)

dy/dx = [(x²+1)cos x − sin x(2x)] / (x²+1)²

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4. Implicit Differentiation


Differentiate each term with respect to x, using chain rule for y terms (multiply by dy/dx).


Example: Differentiate x² + y² = 25 implicitly.

2x + 2y(dy/dx) = 0 → dy/dx = −x/y


At (3, 4): dy/dx = −3/4 (gradient of tangent at this point).


5. Stationary Points


At a stationary point: dy/dx = 0.


Second derivative test:

  • d²y/dx² > 0: minimum
  • d²y/dx² < 0: maximum
  • d²y/dx² = 0: inconclusive — check by looking at sign of dy/dx on either side

Example: y = x³ − 3x² − 9x + 5. Find and classify stationary points.

dy/dx = 3x² − 6x − 9 = 3(x² − 2x − 3) = 3(x − 3)(x + 1) = 0

x = 3 or x = −1.


d²y/dx² = 6x − 6.

  • At x = 3: d²y/dx² = 12 > 0 → minimum at (3, −22)
  • At x = −1: d²y/dx² = −12 < 0 → maximum at (−1, 10)

6. Applications: Optimisation


Method: Write the quantity to be optimised (area, volume, cost) as a function of one variable. Differentiate, set = 0, verify it's a max/min.


Example: An open box with square base of side x cm and height h cm has volume 32 cm³. The base costs PKR 3/cm² and sides PKR 1/cm². Minimise cost.

  • Constraint: x²h = 32 → h = 32/x²
  • Cost: C = 3x² + 4xh = 3x² + 4x(32/x²) = 3x² + 128/x
  • dC/dx = 6x − 128/x² = 0 → x³ = 128/6 → x ≈ 2.75 cm

7. Connected Rates of Change


Using chain rule: dy/dt = (dy/dx) × (dx/dt)


Example: A spherical balloon is inflated at 50 cm³/s. When radius r = 5 cm, find dr/dt.

V = (4/3)πr³ → dV/dr = 4πr²

dV/dt = (dV/dr)(dr/dt) → 50 = 4π(25)(dr/dt) → dr/dt = 50/(100π) = 1/(2π) cm/s

Key Points to Remember

  • 1Power rule: d/dx(xⁿ)=nxⁿ⁻¹; chain rule: d/dx[f(g(x))]=f'(g(x))g'(x)
  • 2Product rule: (uv)'=u'v+uv'; Quotient rule: (u/v)'=(u'v−uv')/v²
  • 3Implicit differentiation: differentiate both sides w.r.t. x, apply chain rule to y terms
  • 4Stationary points: dy/dx=0; classify with d²y/dx²: >0 min, <0 max, =0 inconclusive
  • 5Optimisation: express in one variable, differentiate, set=0, verify max/min
  • 6Connected rates: dy/dt = (dy/dx)·(dx/dt) — chain rule linking different rates

Pakistan Example

Optimisation: Minimising Cost for Karachi's Water Storage Tanks

Karachi's chronic water shortage leads KWSB (Karachi Water and Sewerage Board) to install cylindrical storage tanks in residential areas. An engineer must minimise the cost of material for a closed cylindrical tank of volume 2000 litres (2 m³). Let radius = r, height = h. Volume: πr²h = 2 → h = 2/(πr²). Surface area: S = 2πr² + 2πrh = 2πr² + 4/r. dS/dr = 4πr − 4/r² = 0 → r³ = 1/π → r ≈ 0.683 m, h ≈ 1.366 m. The optimum tank has h = 2r — height equals diameter. This is a direct application of 9709 differentiation optimisation, saving construction material costs across thousands of tanks installed city-wide.

Quick Revision Infographic

Mathematics — Quick Revision

Pure 1: Differentiation

Key Concepts

1Power rule: d/dx(xⁿ)=nxⁿ⁻¹; chain rule: d/dx[f(g(x))]=f'(g(x))g'(x)
2Product rule: (uv)'=u'v+uv'; Quotient rule: (u/v)'=(u'v−uv')/v²
3Implicit differentiation: differentiate both sides w.r.t. x, apply chain rule to y terms
4Stationary points: dy/dx=0; classify with d²y/dx²: >0 min, <0 max, =0 inconclusive
5Optimisation: express in one variable, differentiate, set=0, verify max/min
6Connected rates: dy/dt = (dy/dx)·(dx/dt) — chain rule linking different rates

Formulas to Know

Power rule: d/dx(xⁿ)=nxⁿ⁻¹; chain rule: d/dx[f(g(x))]=f'(g(x))g'(x)
Quotient rule: (u/v)'=(u'v−uv')/v²
=0 inconclusive
verify max/min
Pakistan Example

Optimisation: Minimising Cost for Karachi's Water Storage Tanks

Karachi's chronic water shortage leads KWSB (Karachi Water and Sewerage Board) to install cylindrical storage tanks in residential areas. An engineer must minimise the cost of material for a closed cylindrical tank of volume 2000 litres (2 m³). Let radius = r, height = h. Volume: πr²h = 2 → h = 2/(πr²). Surface area: S = 2πr² + 2πrh = 2πr² + 4/r. dS/dr = 4πr − 4/r² = 0 → r³ = 1/π → r ≈ 0.683 m, h ≈ 1.366 m. The optimum tank has h = 2r — height equals diameter. This is a direct application of 9709 differentiation optimisation, saving construction material costs across thousands of tanks installed city-wide.

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