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This lesson covers Differentiation as required by the A-Level Mathematics Pure 1 specification. Differentiation is a fundamental tool of calculus that allows us to find the rate of change of a function. It has applications in finding gradients, tangents, normals, stationary points, and solving optimisation problems.
The gradient of a curve at any point is the gradient of the tangent to the curve at that point. Differentiation gives us a formula for this gradient.
The derivative of y = f(x) is written as:
dy/dx or f'(x)
It represents the rate of change of y with respect to x.
The derivative of f(x) from first principles is defined as:
f'(x) = lim (h → 0) [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 (h → 0) [(x² + 2xh + h²) − x²] / h
= lim (h → 0) [2xh + h²] / h
= lim (h → 0) [2x + h]
= 2x
Exam Tip: First principles questions are commonly examined. Show every step clearly, and remember to take the limit as h → 0 at the end.
If y = xⁿ, then dy/dx = nxⁿ⁻¹. This works for all rational values of n.
| Function | Derivative |
|---|---|
| y = xⁿ | dy/dx = nxⁿ⁻¹ |
| y = axⁿ | dy/dx = anxⁿ⁻¹ |
| y = c (constant) | dy/dx = 0 |
| y = x³ | dy/dx = 3x² |
| y = x⁻¹ = 1/x | dy/dx = −x⁻² = −1/x² |
| y = x^(1/2) = √x | dy/dx = ½x^(−1/2) = 1/(2√x) |
If y = f(x) ± g(x), then dy/dx = f'(x) ± g'(x).
Example: Differentiate y = 4x³ − 7x² + 5x − 9.
dy/dx = 12x² − 14x + 5
Before differentiating, you may need to expand brackets or rewrite fractions as powers of x.
Example: Differentiate y = (3x² + 1) / x.
Rewrite: y = 3x + x⁻¹.
dy/dx = 3 − x⁻² = 3 − 1/x²
Example: Differentiate y = 3x⁻² + 2√x.
Write as y = 3x⁻² + 2x^(1/2).
dy/dx = −6x⁻³ + x^(−1/2) = −6/x³ + 1/√x
The tangent to a curve at a point has the same gradient as the curve at that point.
To find the equation of the tangent at x = a:
The normal is perpendicular to the tangent. Its gradient is −1/f'(a).
Example: Find the tangent and normal to y = x³ − 2x at x = 1.
y(1) = 1 − 2 = −1, so the point is (1, −1).
dy/dx = 3x² − 2. At x = 1: gradient = 1.
Tangent: y − (−1) = 1(x − 1) → y = x − 2.
Normal: gradient = −1. y − (−1) = −1(x − 1) → y = −x.
A stationary point occurs where dy/dx = 0. There are three types:
| Type | Second Derivative | Description |
|---|---|---|
| Maximum | f''(x) < 0 | Curve changes from increasing to decreasing |
| Minimum | f''(x) > 0 | Curve changes from decreasing to increasing |
| Point of inflection | f''(x) = 0 | Inconclusive — check gradient either side |
The second derivative d²y/dx² = f''(x) is found by differentiating dy/dx.
Example: Find and classify the stationary points of y = x³ − 6x² + 9x + 1.
dy/dx = 3x² − 12x + 9 = 3(x² − 4x + 3) = 3(x − 1)(x − 3) = 0
x = 1 or x = 3
d²y/dx² = 6x − 12
At x = 1: f''(1) = −6 < 0 → local maximum at (1, 5)
At x = 3: f''(3) = 6 > 0 → local minimum at (3, 1)
Example: Show that f(x) = x³ + 3x is an increasing function for all x.
f'(x) = 3x² + 3 = 3(x² + 1)
Since x² ≥ 0 for all x, we have x² + 1 ≥ 1 > 0, so f'(x) > 0 for all x.
Therefore f(x) is increasing for all x. ∎
Exam Tip: Always simplify expressions before differentiating — expand brackets and rewrite fractions as negative powers. When finding stationary points, clearly show that you have set dy/dx = 0, found the x-values, calculated the y-values, and used the second derivative to classify each point. If f''(x) = 0, you must check the gradient either side of the point.
AQA 7357 specification, Paper 1 — Pure Mathematics, Section G: "Understand and use the derivative of f(x) as the gradient of the tangent to the graph of y=f(x) at a general point (x,y); the gradient of the tangent as a limit; interpretation as a rate of change; second-order derivatives; differentiation from first principles for small positive integer powers of x and for sinx and cosx; differentiation of xn for rational n, sums and constant multiples; applications to gradients, tangents and normals, stationary points, increasing and decreasing functions." Synoptic reach is wide: chain, product and quotient rules (Pure 2, Section G continued); integration as the inverse of differentiation (Section H); coordinate geometry tangents and normals (Section E); and mechanics rates of change — velocity =dtds, acceleration =dtdv — across Paper 2 Section R. The AQA formula booklet provides standard derivatives for sinx, cosx, tanx, ekx and lnx, but the power rule dxdxn=nxn−1 must be memorised.
Question (8 marks): The curve C has equation y=x3−3x2−9x+5.
(a) Find dxdy and hence determine the coordinates of the stationary points of C. (5)
(b) Use the second derivative test to classify each stationary point as a local maximum or local minimum. (3)
Solution with mark scheme:
(a) Step 1 — differentiate.
dxdy=3x2−6x−9
M1 — applying the power rule term-by-term. Common slip: dropping the constant +5 to give 3x2−6x−9+0 correctly, but writing +5 on the derivative line.
A1 — fully correct first derivative.
Step 2 — set the derivative equal to zero.
3x2−6x−9=0⟹x2−2x−3=0⟹(x−3)(x+1)=0
M1 — equating dxdy to zero and reducing to a soluble quadratic. Dividing by 3 first is rewarded as a clean technique.
So x=3 or x=−1.
Step 3 — find the corresponding y-values.
At x=3: y=27−27−27+5=−22. At x=−1: y=−1−3+9+5=10.
A1 — both stationary points correctly identified as (3,−22) and (−1,10). A single arithmetic slip in either y-value loses this mark; the M-marks before it stand.
A1 — answers presented as coordinate pairs, not just x-values. Examiners reward the question's phrasing exactly.
(b) Step 1 — second derivative.
dx2d2y=6x−6
M1 — differentiating dxdy correctly.
Step 2 — evaluate at each stationary point.
At x=3: dx2d2y=18−6=12>0, so (3,−22) is a local minimum.
At x=−1: dx2d2y=−6−6=−12<0, so (−1,10) is a local maximum.
A1 — correct sign analysis and conclusion at both points.
A1 — full classification stated with the correct labels (local max/local min). Writing only "max" and "min" without specifying which point is which loses this mark.
Total: 8 marks (M3 A5).
Question (6 marks): The curve C has equation y=2x3−9x2+12x.
(a) Find an equation of the tangent to C at the point P where x=2, giving your answer in the form y=mx+c. (4)
(b) Find an equation of the normal to C at P, giving your answer in the form ax+by+c=0 where a, b, c are integers. (2)
Mark scheme decomposition by AO:
(a)
(b)
Total: 6 marks split AO1 = 5, AO2 = 1. A subtle examiner trap: students rush to compute −1/m for the normal and divide by zero. Recognising that m=0 implies a vertical normal is the AO2 reasoning step.
Connects to:
Pure 2, Section G — Chain, product and quotient rules: the power rule generalises to differentiating (inner)n via the chain rule: dxd(2x+1)5=5(2x+1)4⋅2. Without confidence in the power rule, the chain rule has nothing to apply to.
Section H — Integration: integration is defined as the inverse of differentiation. ∫xndx=n+1xn+1+C for n=−1 is literally the power rule run backwards. Every fluency error in differentiation propagates into integration.
Section E — Coordinate geometry: the equation of a tangent at (x0,y0) is y−y0=f′(x0)(x−x0), and the normal uses gradient −1/f′(x0). These connect the calculus content of Section G with the line-equation content of Section E.
Paper 2, Section R — Kinematics: if s(t) is displacement, then v(t)=dtds and a(t)=dtdv=dt2d2s. Mechanics rates-of-change questions are differentiation questions in disguise — same calculus, physical context.
Section J — Numerical methods (Pure 2): the Newton-Raphson iteration xn+1=xn−f′(xn)f(xn) uses the derivative directly. Failure of the iteration when f′(xn)=0 is exactly the stationary-point condition.
Differentiation questions on 7357 are a near-even split between AO1 fluency and AO2 reasoning, with AO3 modelling reserved for kinematics or optimisation contexts:
| AO | Typical share | Earned by |
|---|---|---|
| AO1 (knowledge / procedure) | 50–60% | Applying the power rule, evaluating derivatives at given x, finding stationary points, computing second derivatives |
| AO2 (reasoning / interpretation) | 25–35% | Classifying stationary points, justifying use of the second derivative test, interpreting the sign of f′(x) as increasing/decreasing, recognising horizontal-tangent edge cases |
| AO3 (problem-solving / modelling) | 10–20% | Optimisation problems set in a real-world context (maximum volume, minimum cost), kinematic interpretation, rate-of-change modelling |
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