First principles, rules, applications in P1; chain/product in P2
Edexcel
P1, P2
Similar split
OCR (A)
Paper 1, 2
Includes connected rates in P2
CIE (9709)
P1, P2, P3
Basic differentiation in P1; product/quotient/chain in P2/P3
:::info The formula booklet lists derivatives of standard functions. You must know how to apply the
Product, quotient, and chain rules, and how to find stationary points.
:::
1. The Derivative from First Principles
1.1 Definition
Definition. The derivative of f at x is
f′(x)=limh→0hf(x+h)−f(x)
Provided this limit exists. If it does, we say f is differentiable at x.
Geometric interpretation. The quantity hf(x+h)−f(x) is the gradient of the secant
Line through the points (x,f(x)) and (x+h,f(x+h)). As h→0This secant approaches the
Tangent, so f′(x) is the gradient of the tangent at x.
:::info Info There. Continuity is necessary but not sufficient — f(x)=∣x∣ is continuous at x=0
but not Differentiable.
:::
2. Derivative of xn from First Principles
Theorem. For n∈N, dxdxn=nxn−1.
Proof. By the limit definition:
f′(x)=limh→0h(x+h)n−xn
Expanding (x+h)n using the binomial theorem:
(x+h)n=xn+(1n)xn−1h+(2n)xn−2h2+⋯+hn
Subtracting xn and dividing by h:
h(x+h)n−xn=(1n)xn−1+(2n)xn−2h+⋯+hn−1
Taking h→0Every term containing h vanishes:
f′(x)=(1n)xn−1=nxn−1■
This proof extends to negative and fractional powers using the limit definition with the generalised
Binomial theorem or logarithmic differentiation.
Intuition. The power rule says: “bring the power down and reduce it by one.” This works because
The leading-order term in (x+h)n−xn is nxn−1hAnd dividing by h leaves nxn−1.
3. The Product Rule
Theorem. If u=f(x) and v=g(x) are differentiable, then
Since f is differentiable (hence continuous), limh→0f(x+h)=f(x):
=f(x)⋅g′(x)+g(x)⋅f′(x)■
Intuition. Think of the area of a rectangle with sides u and v. If u changes by δu
And v by δvThe change in area is approximately vδu+uδv (the two thin
Strips along the edges; the corner piece δuδv is negligible).
4. The Quotient Rule
Theorem. If u=f(x) and v=g(x) are differentiable with v=0Then
:::caution The quotient rule has a minus sign in the numerator: vu′−uv′. Getting this
The wrong way around is one of the most common errors in A Level mathematics.
:::
5. The Chain Rule
Theorem. If y=f(g(x))Then
dxdy=dudy⋅dxdu
Where u=g(x).
5.1 Proof (informal)
If x changes by δxThen u changes by approximately g′(x)δxAnd y changes By
approximately f′(u)⋅g′(x)δx. Dividing by δx and taking the limit:
dxdy=f′(g(x))⋅g′(x)
A fully rigorous proof uses the mean value theorem to handle the case when g′(x)=0.
Intuition. The chain rule handles composite functions: “differentiate the outer function, then
Multiply by the derivative of the inner function.” Think of it as a gearing mechanism: a small turn
In x causes a turn in uWhich causes a turn in yAnd the overall effect is the product of The
two gear ratios.
6. Derivatives of Standard Functions
6.1 Derivative of sinx from first principles
Theorem.dxdsinx=cosx.
Proof. Using the limit definition and the compound angle formula
sin(α+β)=sinαcosβ+cosαsinβ:
The second derivative is the derivative of the first derivative:
f′′(x)=dx2d2y=dxd(dxdy)
7.2 Stationary points
Definition. A point x=a is a stationary point of f if f′(a)=0.
There are three types:
Type
Condition
Shape
Maximum
f′(a)=0, f′′(a)<0
∩
Minimum
f′(a)=0, f′′(a)>0
∪
Point of inflection
f′(a)=0, f′′(a)=0 (may be)
S-shape
7.3 Proof of the second derivative test (Taylor expansion intuition)
Near a stationary point x=aWe can approximate f using its Taylor expansion:
f(x)≈f(a)+f′(a)(x−a)+2f′′(a)(x−a)2
Since f′(a)=0 at a stationary point:
f(x)−f(a)≈2f′′(a)(x−a)2
If f′′(a)>0: f(x)−f(a)>0 for x=aSo f(a) is a minimum.
If f′′(a)<0: f(x)−f(a)<0 for x=aSo f(a) is a maximum.
If f′′(a)=0: the test is inconclusive; use a nature table or higher derivatives.
:::caution Warning Point could still be a maximum, minimum, or inflection. Always use a nature table
(checking the sign Of f′ on either side) if the second derivative test is inconclusive.
:::
Function, Derivative, and Tangent Line
Observe how the Derivative relates to the gradient
of the tangent line. Move the point along the curve to see how The tangent changes slope, and note
where the derivative is zero at stationary points.
8. Connected Rates of Change
When two quantities are related by an equation, their rates of change are related by the chain rule.
Method:
Write down the relationship between the variables.
Differentiate both sides with respect to t (time).
Substitute known values and solve for the unknown rate.
Example. The radius r of a circle increases at 2cm/s. Find the rate of change of
The area when r=5.
A=πr2. Differentiating with respect to t:
dtdA=2πrdtdr
At r=5, dtdr=2:
dtdA=2π(5)(2)=20πcm2/s
9. Increasing and Decreasing Functions
Definition.
f is increasing on an interval if f′(x)≥0 for all x in that interval.
f is strictly increasing if f′(x)>0 for all x.
f is decreasing if f′(x)≤0 for all x.
f is strictly decreasing if f′(x)<0 for all x.
Example. Show that f(x)=x3−3x+2 is increasing for x>1.
f′(x)=3x2−3=3(x2−1)=3(x−1)(x+1).
For x>1: (x−1)>0 and (x+1)>0So f′(x)>0. Hence f is strictly Increasing for
x>1.
:::tip Tip Inequality. When asked to “show that a function is increasing”, verify that f′(x)>0
(or ≥0) on the given interval.
:::
10. Points of Inflection
A point of inflection is where the curve changes concavity (from concave up to concave down, or
Vice versa). This occurs where f′′(x)=0 and the sign of f′′(x) changes.
:::caution Warning Point of inflection at x=0But f′(0)=0 in this case. Consider
f(x)=x3+x: f′′(x)=6x=0 at x=0Giving a point of inflection, but f′(0)=1=0.
:::
11. Differentiation of Parametric Equations
If x=x(t) and y=y(t)Then
dxdy=dx/dtdy/dt
Example.x=2cost, y=2sint. Find dxdy at t=π/4.
dtdx=−2sint,dtdy=2cost
dxdy=L◆B◆2cost◆RB◆◆LB◆−2sint◆RB◆=−cott
At t=π/4: dxdy=−cot(π/4)=−1.
12. Implicit Differentiation
When y is defined implicitly by an equation F(x,y)=0Differentiate both sides with respect to
xTreating y as a function of x.
Example. Find dxdy where x2+y2=25.
Differentiating: 2x+2ydxdy=0So dxdy=−yx.
Problem Set
Problem 1
Differentiate f(x)=x from first principles.
Problem 8
Given x=t2+1 and y=t3−3tFind the coordinates of the stationary points and determine their nature.
Solution 8dxdy=dx/dtdy/dt=2t3t2−3=2t3(t2−1).
Stationary when dy/dx=0: t2=1⟹t=±1.
t=1: x = 2$$y = -2. Point (2,−2). t=−1: x = 2$$y = 2. Point (2,2).
For nature, check dx2d2y or the sign of dxdy:
Near t=1: for t = 0.5$$\dfrac{dy}{dx} = \dfrac{3(0.25-1)}{1} = -\dfrac{9}{4} \lt 0; for
t = 2$$\dfrac{dy}{dx} = \dfrac{3(4-1)}{4} \gt 0. So t=1 is a minimum.
Near t=−1: for t = -2$$\dfrac{dy}{dx} \lt 0; for t = -0.5$$\dfrac{dy}{dx} \gt 0. So t=−1
is a minimum.
:::tip Tip Ready to test your understanding of Differentiation? The contains the hardest
questions within the A-Level specification for this topic, each with a full worked solution.
Unit tests probe edge cases and common misconceptions. Integration tests combine
Differentiation with other pure mathematics topics to test synthesis under exam conditions.
See for instructions on self-marking and
building a personal test matrix.
Common Pitfalls
Forgetting to use the chain rule for composite functions — identify the inner function first.
Confusing the derivative of ln(x) with the derivative of loga(x) — the latter requires the
change of base formula.
Losing marks by not showing sufficient working — always write out each step, especially in proof
questions.
Incorrectly applying integration by parts by choosing u and dxdv the wrong way
around.
Dropping negative signs during algebraic manipulation — substitute back to verify your answer.
Rounding too early in multi-step calculations — carry full precision through and round only the
final answer.
Summary
The key principles covered in this topic are linked in the sub-pages above. Focus on understanding
the definitions, applying the formulas or frameworks, and evaluating strengths and limitations of
each approach.
Worked Examples
Worked examples demonstrating the application of key concepts are covered in the detailed sub-pages
linked above.