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Differentiation

Pearson Edexcel International A Level Mathematics

1. What Is Differentiation?

Differentiation is the mathematical process used to determine how a quantity changes as another quantity changes.

If y depends on x, then differentiation gives the instantaneous rate of change of y with respect to x.

Key idea: The derivative of a function at a point is the gradient of the tangent to the curve at that point.
dy/dx = instantaneous rate of change = gradient of tangent

Average Rate of Change

Before understanding the derivative, distinguish between an average rate of change and an instantaneous rate of change.

Average rate of change = (f(b) − f(a))/(b − a)

This is the gradient of the secant line joining two points on a curve.

Instantaneous Rate of Change

If the interval becomes extremely small, the secant gradient approaches the gradient of the tangent.

f′(x) = lim(h→0) [f(x+h) − f(x)]/h

This is the derivative from first principles.

The derivative is not simply "the gradient between two points". It is the limiting gradient as the separation between the points approaches zero.

2. Differentiation from First Principles

The definition of the derivative is:

f′(x) = lim(h→0) [f(x+h) − f(x)]/h

Why the Formula Works

Take two points on the curve:

(x, f(x))
(x+h, f(x+h))

The gradient joining them is:

[f(x+h) − f(x)]/h

As h approaches zero, the second point approaches the first point. The secant becomes the tangent.

Worked Example — Proving the Derivative of x²

Example

Using first principles, differentiate:

f(x) = x²
Step 1: f(x+h) = (x+h)²
Step 2: (x+h)² = x² + 2xh + h²
Step 3: f(x+h) − f(x) = x² + 2xh + h² − x²
= 2xh + h²
Step 4: Divide by h:
(2xh+h²)/h = 2x+h
Step 5: Take the limit as h → 0.
f′(x) = 2x

Important First-Principles Pattern

For polynomial functions, first principles can become algebraically long. The standard differentiation rules exist because these limits have already been evaluated and generalised.

3. The Power Rule

For any real constant n for which the expression is defined:

d/dx(xⁿ) = nxⁿ⁻¹

The procedure is:

  1. Multiply by the existing power.
  2. Reduce the power by 1.

Examples

x⁷ → 7x⁶
x⁴ → 4x³
x⁻³ → −3x⁻⁴
x¹ᐟ² → 1/2 x⁻¹ᐟ²

Coefficient Rule

d/dx [axⁿ] = anxⁿ⁻¹

Worked Example

Differentiate
y = 7x⁵ − 4x³ + 9x − 12
dy/dx = 35x⁴ − 12x² + 9

The constant −12 disappears because its derivative is zero.

4. Negative, Fractional and Zero Powers

Many differentiation errors happen because roots and fractions are differentiated without first converting them into index notation.

√x = x¹ᐟ²
∛x = x¹ᐟ³
1/x = x⁻¹
1/x⁴ = x⁻⁴

Worked Example

y = 3√x + 5/x²

Rewrite:

y = 3x¹ᐟ² + 5x⁻²

Differentiate:

dy/dx = 3(1/2)x⁻¹ᐟ² + 5(−2)x⁻³
dy/dx = 3/(2√x) − 10/x³

Zero Power

x⁰ = 1

Therefore:

d/dx(1) = 0

5. Differentiating Polynomial Functions

A polynomial is differentiated term-by-term.

d/dx[u+v] = du/dx + dv/dx

Worked Example — Multiple Terms

y = 6x⁶ − 3x⁴ + 8x² − 5x + 11
dy/dx = 36x⁵ − 12x³ + 16x − 5

Worked Example — Fractional Coefficients

y = (1/3)x⁶ − (5/2)x⁴ + 7x²
dy/dx = 2x⁵ − 10x³ + 14x
Exam habit: Differentiate each term separately and check every exponent has decreased by exactly 1.

6. Product Rule

When two functions are multiplied together, the power rule alone is not sufficient.

If y = uv,
dy/dx = u(dv/dx) + v(du/dx)

A useful memory structure is:

first × derivative of second + second × derivative of first

Worked Example

y = x²(3x⁴ + 1)

Let:

u = x²
v = 3x⁴ + 1
u′ = 2x
v′ = 12x³

Therefore:

y′ = x²(12x³) + (3x⁴+1)(2x)
y′ = 12x⁵ + 6x⁵ + 2x
y′ = 18x⁵ + 2x

Alternative Method

If expansion is easy, expand first:

x²(3x⁴+1) = 3x⁶+x²
y′ = 18x⁵+2x
Do not expand complicated products automatically. The product rule is often much cleaner when the factors are complicated.

7. Quotient Rule

For:

y = u/v
dy/dx = [v(du/dx) − u(dv/dx)]/v²

Memory Pattern

bottom × derivative(top) − top × derivative(bottom) -------------------------------- bottom²

Worked Example

y = (x²+1)/(x+2)

Let:

u=x²+1
v=x+2
u′=2x
v′=1
y′ = [(x+2)(2x) − (x²+1)(1)]/(x+2)²
= (2x²+4x−x²−1)/(x+2)²
y′ = (x²+4x−1)/(x+2)²

When to Rewrite Instead

If the denominator is simply a power of x, rewriting can be faster. For example:

y = (3x²+1)/x³
y = 3x⁻¹ + x⁻³
y′ = −3x⁻² − 3x⁻⁴

8. Chain Rule

The chain rule is used when one function is inside another function.

If y=f(g(x)),
dy/dx = f′(g(x)) × g′(x)

Simple Structure

Differentiate the outside × differentiate the inside

Worked Example

y = (3x²+4)⁵

Outer function:

u⁵ → 5u⁴

Inner function:

u=3x²+4
du/dx=6x

Therefore:

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

Nested Chain Rule

For several layers, work from the outside inward:

y = [2+(3x²−1)⁴]⁵
y′ = 5[2+(3x²−1)⁴]⁴ ×4(3x²−1)³ ×6x
y′ = 120x(3x²−1)³[2+(3x²−1)⁴]⁴

9. Differentiating Trigonometric Functions

The fundamental trigonometric derivatives are:

d/dx(sin x) = cos x
d/dx(cos x) = −sin x
d/dx(tan x) = sec²x

These formulas assume x is measured in radians.

Chain Rule with Trigonometry

d/dx[sin(g(x))] = cos(g(x))g′(x)

Worked Example

y = sin(4x+1)
y′ = cos(4x+1) × 4
y′ = 4cos(4x+1)

Worked Example — Cosine

y = cos(3x²)
y′ = −sin(3x²) × 6x
y′ = −6x sin(3x²)

Worked Example — Tangent

y = tan(5x−2)
y′ = 5sec²(5x−2)

10. Exponential and Logarithmic Differentiation

Exponential Function

d/dx(eˣ)=eˣ

With Chain Rule

d/dx[eᵍ⁽ˣ⁾] = eᵍ⁽ˣ⁾g′(x)

Example

y=e^(3x²−x)
y′=e^(3x²−x)(6x−1)

Natural Logarithm

d/dx(ln x)=1/x

More generally:

d/dx[ln(g(x))] = g′(x)/g(x)

Example

y=ln(2x²+3)
y′=4x/(2x²+3)

Logarithmic Differentiation

For complicated products or powers, taking logarithms can simplify differentiation.

Example
y=xˣ

Take ln of both sides:

ln y = x ln x

Differentiate implicitly:

(1/y)y′ = ln x + 1

Therefore:

y′ = xˣ(ln x+1)

11. Implicit Differentiation

Sometimes y is not given explicitly as y=f(x). Instead, x and y occur together in an equation.

In such cases, differentiate both sides with respect to x while remembering that y itself depends on x.

Important Rule

d/dx(yⁿ)=nyⁿ⁻¹ dy/dx

Worked Example

x²+y²=25

Differentiate:

2x + 2y dy/dx = 0

Rearrange:

2y dy/dx = −2x
dy/dx = −x/y

Finding the Gradient at a Point

At (3,4):

dy/dx = −3/4

Second Implicit Derivative

If a second derivative is required, differentiate the expression for dy/dx again. Remember that y is still a function of x.

If y′ = −x/y

then y″ = −(y−xy′)/y²

12. Second and Higher Derivatives

The first derivative measures gradient or rate of change. The second derivative measures how the gradient itself changes.

y′ = dy/dx
y″ = d²y/dx²
y‴ = d³y/dx³

Example

y=3x⁵−2x³+x
y′=15x⁴−6x²+1
y″=60x³−12x
y‴=180x²−12

Higher derivatives are especially useful in curve analysis, motion and approximation.

13. Tangents and Normals

The derivative gives the gradient of the tangent.

mₜ = dy/dx

The normal is perpendicular to the tangent.

mₙ = −1/mₜ

Complete Method

  1. Differentiate the curve.
  2. Substitute the x-coordinate to obtain the tangent gradient.
  3. Use the point on the curve.
  4. Apply y−y₁=m(x−x₁).

Worked Example

Find the tangent to:

y=x²+2x+1

at x=2.

y′=2x+2
m=6

Find y:

y=4+4+1=9

Point = (2,9).

y−9=6(x−2)
y=6x−3

Normal

mₙ=−1/6
y−9=−1/6(x−2)

14. Stationary Points

A stationary point is a point on a differentiable curve where the tangent is horizontal.

dy/dx=0

Complete Algorithm

  1. Differentiate.
  2. Set dy/dx=0.
  3. Solve for x.
  4. Substitute into the original equation to find y.
  5. Determine the nature of each stationary point.

Worked Example

y=x³−3x²−9x+5
y′=3x²−6x−9

Set equal to zero:

3x²−6x−9=0
x²−2x−3=0
(x−3)(x+1)=0
x=3 or x=−1

Substitute both values into the original curve.

x=3 → y=27−27−27+5=−22
x=−1 → y=−1−3+9+5=10
Stationary points: (−1,10), (3,−22)

15. Nature of Stationary Points

Second Derivative Test

y′=0
y″>0 → minimum
y″<0 → maximum

Why?

At a local maximum, the graph bends downward near the point, so the gradient is decreasing. At a local minimum, the graph bends upward, so the gradient is increasing.

Worked Example

y=x³−3x²−9x+5
y′=3x²−6x−9
y″=6x−6

At x=−1:

y″=−12<0
(−1,10) is a local maximum.

At x=3:

y″=12>0
(3,−22) is a local minimum.

First Derivative Sign Test

Sometimes the safest method is to examine the sign of y′ on either side of the stationary point.

+ → 0 → − = maximum
− → 0 → + = minimum
A stationary point does not automatically mean maximum or minimum. For example, y=x³ has y′=3x²=0 at x=0, but the curve continues increasing on both sides. It is a stationary point of inflection.

16. Increasing and Decreasing Functions

The first derivative tells us the behaviour of a curve.

y′>0 → function increasing
y′<0 → function decreasing

Worked Example

y=x³−3x
y′=3x²−3
3(x²−1)=0
x=−1,1

The sign of y′ can then be tested in the intervals:

x<−1
−1<x<1
x>1

This allows the increasing/decreasing intervals and stationary-point nature to be determined without relying only on the second derivative.

17. Points of Inflection

A point of inflection is a point where the concavity of a curve changes.

A common method is to solve:

y″=0

but this alone is not sufficient. The concavity must actually change.

Example

y=x³
y′=3x²
y″=6x

Set y″=0:

x=0

For x<0, y″ is negative. For x>0, y″ is positive. Therefore the concavity changes.

(0,0) is a point of inflection.
Do not write "y″=0 therefore point of inflection" without checking the change in concavity.

18. Full Curve Analysis

Differentiation can be combined with algebra to analyse the shape of a curve.

A Powerful Workflow

  1. Find the y-intercept.
  2. Find x-intercepts if possible.
  3. Find y′.
  4. Find stationary points.
  5. Classify stationary points.
  6. Find y″ if curvature is required.
  7. Find points of inflection.
  8. Determine increasing/decreasing intervals.
  9. Use asymptotes or domain restrictions if relevant.
  10. Sketch the curve using all gathered information.

Why This Is Powerful

Instead of trying to guess the shape from the equation, differentiation lets you construct the behaviour logically.

19. Parametric Differentiation

If x and y are both defined in terms of a parameter t:

x=f(t)
y=g(t)

then:

dy/dx = (dy/dt)/(dx/dt)

Worked Example

x=t²+1
y=t³−2t
dx/dt=2t
dy/dt=3t²−2
dy/dx=(3t²−2)/(2t)

Stationary Point in Parametric Form

For a horizontal tangent:

dy/dx=0

Provided dx/dt is not zero, this normally means:

dy/dt=0

Then find the corresponding t-value and substitute into x(t), y(t).

20. Second Derivative in Parametric Form

To find d²y/dx²:

d²y/dx² = d/dt(dy/dx) ÷ dx/dt

In other words:

d²y/dx² = [d/dt(dy/dx)]/(dx/dt)
Do not differentiate dy/dx directly with respect to x when the curve is given parametrically. Use t and divide by dx/dt.

21. Rates of Change and Related Rates

Differentiation is frequently used when quantities change with time.

Velocity = ds/dt
Acceleration = dv/dt = d²s/dt²

Worked Example

The displacement of a particle is:

s=t³−6t²+9t

Velocity:

v=3t²−12t+9

Acceleration:

a=6t−12

Connected Rates

Suppose the area of a circle changes because its radius changes.

A=πr²

Differentiate with respect to time:

dA/dt = 2πr dr/dt

This connects the rate at which area changes with the rate at which radius changes.

22. Optimisation

Differentiation can identify maximum or minimum values of quantities such as area, volume, distance, cost and profit.

General Method

  1. Define the quantity to be maximised/minimised.
  2. Express it as a function of one variable.
  3. Differentiate.
  4. Set the derivative equal to zero.
  5. Find candidate stationary points.
  6. Check the nature of the stationary point.
  7. Interpret the result in the context of the question.

Worked Example

A rectangle has perimeter 20 cm. Let its sides be x and y.

2x+2y=20
y=10−x

Area:

A=x(10−x)
A=10x−x²

Differentiate:

dA/dx=10−2x

For a stationary value:

10−2x=0
x=5
y=5
A=25 cm²

The second derivative is:

d²A/dx²=−2

Therefore the stationary value is a maximum.

23. Differentiation with Unknown Parameters

Exam questions often contain an unknown constant and ask you to use stationary-point information to determine it.

Worked Example

y=x³+ax²+3x

Suppose x=1 is a stationary point.

Differentiate:

y′=3x²+2ax+3

At x=1:

0=3+2a+3
2a+6=0
a=−3
The important principle is: stationary point ⇒ derivative equals zero. That condition creates an equation for the unknown parameter.

24. Tangency Conditions

Two curves are tangent at a common point only if they satisfy both:

Same point
+
Same gradient

If:

y=f(x)
y=g(x)

then at a tangency x=a:

f(a)=g(a)
f′(a)=g′(a)

Exam Insight

Do not use only equal gradients. Two curves can have the same gradient at different points without touching each other.

25. Gradient Conditions

Differentiation turns geometric conditions into algebraic equations.

Horizontal tangent
dy/dx=0
Gradient m
dy/dx=m
Parallel lines
same gradient
Perpendicular lines
product of gradients = −1

Example

Find the points on:

y=x³−6x²+9x

where the tangent has gradient 3.

y′=3x²−12x+9

Set:

3x²−12x+9=3
3x²−12x+6=0
x²−4x+2=0
x=2±√2

Each x-value must then be substituted into the original curve to find the corresponding point.

26. Differentiation and Small Changes

The derivative can approximate the change in a function when x changes by a small amount.

dy ≈ (dy/dx)dx

This is useful for estimating changes and errors.

Example

Let:

y=x³

Near x=2, suppose x increases by 0.01.

dy/dx=3x²
at x=2: dy/dx=12
dy≈12(0.01)
dy≈0.12

So the corresponding change in y is approximately 0.12.

27. High-Level Exam Reasoning

Problem Type 1 — "Show that..."

Do not jump directly to the final answer. Show the differentiation, substitution and algebra clearly.

Problem Type 2 — Unknown Parameter

Translate words into derivative conditions:

stationary → y′=0
gradient m → y′=m
tangent → same point + same gradient

Problem Type 3 — Maximum/Minimum

A stationary value is not automatically a maximum or minimum. Use the second derivative or first-derivative sign change.

Problem Type 4 — Multiple Solutions

When solving y′=0, do not stop after finding the first root. Factorise fully or use an appropriate solving method and consider every valid solution.

Problem Type 5 — Context

After obtaining a mathematical answer, check whether it is physically meaningful. Lengths, times and dimensions may have restrictions.

28. Common Differentiation Traps

Trap 1 — Forgetting the Chain Rule

(3x+1)⁵

The answer is not merely 5(3x+1)⁴. The inner derivative 3 is required.

Trap 2 — Wrong Sign for cos x

d/dx(cos x)=−sin x

Trap 3 — Treating y as a Constant in Implicit Differentiation

d/dx(y²)=2y dy/dx

Trap 4 — Forgetting the Original Function

After finding x for a stationary point, substitute into the original equation, not the derivative.

Trap 5 — Assuming y″=0 Means Inflection

A concavity change must be established.

Trap 6 — Losing the Minus Sign in the Quotient Rule

bottom × top′ − top × bottom′

Trap 7 — Degrees Instead of Radians

Standard trigonometric differentiation formulas use radians.

Trap 8 — Giving Only x Instead of the Full Point

If asked for stationary points, provide both coordinates.

29. Differentiation Exam Checklist

Power?
Multiply by power and subtract 1.
Product?
Use product rule unless expansion is easier.
Quotient?
Use quotient rule or rewrite using powers.
Composite?
Use chain rule.
Trig?
Check the sign and inner derivative.
Stationary?
Set y′=0.
Nature?
Use y″ or sign changes.
Normal?
Negative reciprocal of tangent gradient.

30. Differentiation Formula Atlas

d/dx(c)=0
d/dx(xⁿ)=nxⁿ⁻¹
d/dx(af(x))=af′(x)
d/dx(u+v)=u′+v′
d/dx(uv)=uv′+vu′
d/dx(u/v)=(vu′−uv′)/v²
d/dx[f(g(x))]=f′(g(x))g′(x)
d/dx(sin x)=cos x
d/dx(cos x)=−sin x
d/dx(tan x)=sec²x
d/dx(eˣ)=eˣ
d/dx(ln x)=1/x
dy/dx=0 → stationary point
y″>0 → local minimum
y″<0 → local maximum
dy/dx=(dy/dt)/(dx/dt)
d²y/dx²=[d/dt(dy/dx)]/(dx/dt)
velocity=ds/dt
acceleration=d²s/dt²
dy≈(dy/dx)dx

31. Master Worked Examples

Example A — Product + Chain Rule

y=x²(2x+1)⁶

Use product rule:

y′=2x(2x+1)⁶ + x²[6(2x+1)⁵(2)]
y′=2x(2x+1)⁶+12x²(2x+1)⁵
y′=2x(2x+1)⁵[(2x+1)+6x]
y′=2x(2x+1)⁵(8x+1)

Example B — Stationary Points with Parameter

y=x³−3ax²+3a²x

Differentiate:

y′=3x²−6ax+3a²
y′=3(x−a)²

Therefore:

y′=0
x=a

There is only one stationary x-coordinate, but the derivative does not change sign because it is a square.

This is a classic example showing why a stationary point need not be a maximum or minimum.

Example C — Optimisation with a Constraint

A rectangle has area:

A=x(20−x)
A=20x−x²
A′=20−2x
20−2x=0
x=10
A=100
A″=−2<0
Maximum area = 100

32. Deep Practice — Before the Exam

Try these without opening the solutions immediately.

Practice 1

Differentiate: y=(2x³−5x+1)⁴
Show Solution
y′=4(2x³−5x+1)³(6x²−5)

Practice 2

Differentiate: y=x²e^(3x)
Show Solution
y′=2xe^(3x)+3x²e^(3x)
y′=xe^(3x)(2+3x)

Practice 3

Find the stationary points of: y=x³−12x+7
Show Solution
y′=3x²−12
3(x²−4)=0
x=±2
x=2 → y=−9
x=−2 → y=23
(−2,23), (2,−9)

Practice 4

Find the tangent to y=x³ at x=2.
Show Solution
y′=3x²
m=12
Point=(2,8)
y−8=12(x−2)
y=12x−16

Practice 5

Given x²+xy+y²=7, find dy/dx.
Show Solution
2x+(x dy/dx+y)+2y dy/dx=0
(x+2y)dy/dx=−(2x+y)
dy/dx=−(2x+y)/(x+2y)

33. ⚡ Differentiation — 100 Question Assessment

A complete mixed assessment covering basic differentiation, rules, trigonometric/exponential/logarithmic functions, implicit and parametric differentiation, stationary points, curve analysis, rates of change and optimisation.

Rules: 100 questions • 1 mark each • one question at a time • you cannot skip a question • select an answer before continuing.
Question 1/100
Score: 0

Assessment Complete

0/100

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