CAIE A-Level · Mathematics 9709 · Differentiation

The Derivative and Its Notation — Gradient of a Curve, f′(x), dy/dx, f″(x), d²y/dx²

8 min readSyllabus 1.7FreeBy Uzair Khan

Syllabus objective

Understand the gradient of a curve at a point as the limit of the gradients of a suitable sequence of chords, and use the notations f′(x), f″(x), dy/dx and d²y/dx² for first and second derivatives (only an informal understanding of the idea of a limit is expected; differentiation from first principles is not required).

Introduction

One of the most powerful ideas in A-Level Mathematics is the ability to find the exact gradient of a curve at a single point. Unlike a straight line — whose gradient is constant everywhere — a curve has a gradient that changes from point to point. Differentiation is the process that computes this gradient precisely, and it underpins a huge portion of the 9709 Pure Mathematics 1 paper: from finding stationary points and sketching curves, to solving optimisation and connected-rates-of-change problems. This note establishes the conceptual foundation and the notation you will use throughout.


Core Concept

Gradient of a straight line (recap)

The gradient of a straight line through two points (x1,y1)(x_1, y_1) and (x2,y2)(x_2, y_2) is:

m=y2y1x2x1m = \frac{y_2 - y_1}{x_2 - x_1}

This is a fixed number for any straight line.

Why a curve is different

For a curve y=f(x)y = f(x), the steepness changes at every point, so no single fraction can describe the gradient everywhere. Instead, we need to find the gradient at one specific point — say P=(x,f(x))P = (x,\, f(x)).

The chord approach — an informal idea of a limit

Draw a chord (a straight line joining two points on the curve) from PP to a nearby point Q=(x+h,f(x+h))Q = (x+h,\, f(x+h)), where hh is a small positive or negative number.

The gradient of this chord is:

gradient of chord PQ=f(x+h)f(x)h\text{gradient of chord } PQ = \frac{f(x+h) - f(x)}{h}

Now imagine sliding QQ along the curve closer and closer to PP, so hh gets smaller and smaller (approaching zero, but never actually equalling zero). The chord rotates and approaches the tangent to the curve at PP. The gradient of this tangent is the gradient of the curve at PP.

Key idea (informal limit): As h0h \to 0, the gradient of chord PQPQ approaches the gradient of the curve at PP. This limiting value is called the derivative.

You are not required to perform this limiting process algebraically (that is called differentiation from first principles, which is outside the scope of this syllabus objective). You need to understand the idea conceptually and apply the derivative rules taught in subsequent topics.


Key Formulae & Definitions

First derivative

The first derivative of y=f(x)y = f(x) measures the gradient of the curve at any point xx. It is written in two equivalent notations:

NotationRead asUsed when…
f(x)f'(x)"f prime of x"the function is written as f(x)f(x)
dydx\dfrac{dy}{dx}"dy by dx"the function is written as y=y = \ldots

Both mean exactly the same thing: the instantaneous rate of change of yy with respect to xx.

Second derivative

Differentiating the first derivative again gives the second derivative, which measures the rate of change of the gradient itself (related to the curvature of the curve):

NotationRead as
f(x)f''(x)"f double-prime of x"
d2ydx2\dfrac{d^2y}{dx^2}"d two y by dx squared"

Power rule (the key differentiation rule for this course)

If f(x)=xn, then f(x)=nxn1\text{If } f(x) = x^n, \text{ then } f'(x) = nx^{n-1}
If y=axn, then dydx=anxn1\text{If } y = ax^n, \text{ then } \frac{dy}{dx} = anx^{n-1}

This applies for any constant nn (integer, fraction, or negative).

Derivative of a constant

If f(x)=c (a constant), then f(x)=0\text{If } f(x) = c \text{ (a constant)}, \text{ then } f'(x) = 0

Worked Examples

Example 1 — Finding and interpreting f(x)f'(x) and f(x)f''(x)

Question: Given f(x)=3x45x2+7f(x) = 3x^4 - 5x^2 + 7, find f(x)f'(x) and f(x)f''(x), and state the gradient of the curve at x=1x = 1.

Step 1 — Differentiate term by term to find f(x)f'(x):

f(x)=43x4125x21+0=12x310xf'(x) = 4 \cdot 3x^{4-1} - 2 \cdot 5x^{2-1} + 0 = 12x^3 - 10x

Each term: multiply by the power, then reduce the power by 1. The constant 7 differentiates to 0.

Step 2 — Differentiate f(x)f'(x) to find f(x)f''(x):

f(x)=312x31110x11=36x210f''(x) = 3 \cdot 12x^{3-1} - 1 \cdot 10x^{1-1} = 36x^2 - 10

Step 3 — Evaluate the gradient at x=1x = 1:

f(1)=12(1)310(1)=1210=2f'(1) = 12(1)^3 - 10(1) = 12 - 10 = 2

Conclusion: The gradient of the curve at x=1x = 1 is 2\mathbf{2}.


Example 2 — Using dy/dxdy/dx notation with negative and fractional powers

Question: Given y=4x+3x2y = 4\sqrt{x} + \dfrac{3}{x^2}, find dydx\dfrac{dy}{dx} and d2ydx2\dfrac{d^2y}{dx^2}.

Step 1 — Rewrite in index form:

y=4x1/2+3x2y = 4x^{1/2} + 3x^{-2}

Always convert roots and fractions to index notation before differentiating.

Step 2 — Find dydx\dfrac{dy}{dx} using the power rule:

dydx=124x1/21+(2)3x21=2x1/26x3\frac{dy}{dx} = \frac{1}{2} \cdot 4x^{1/2 - 1} + (-2) \cdot 3x^{-2-1} = 2x^{-1/2} - 6x^{-3}

Step 3 — Find d2ydx2\dfrac{d^2y}{dx^2} by differentiating again:

d2ydx2=122x1/21+(3)(6)x31=x3/2+18x4\frac{d^2y}{dx^2} = -\frac{1}{2} \cdot 2x^{-1/2 - 1} + (-3)(-6)x^{-3-1} = -x^{-3/2} + 18x^{-4}

Step 4 — You may rewrite in a tidy form if required:

dydx=2x6x3,d2ydx2=1x3/2+18x4\frac{dy}{dx} = \frac{2}{\sqrt{x}} - \frac{6}{x^3}, \qquad \frac{d^2y}{dx^2} = -\frac{1}{x^{3/2}} + \frac{18}{x^4}

Common Mistakes & Examiner Pitfalls

  • Forgetting to convert before differentiating. You cannot apply the power rule to x\sqrt{x} or 1x2\dfrac{1}{x^2} directly — always rewrite as x1/2x^{1/2} or x2x^{-2} first.

  • Confusing f(x)f'(x) with f(a)f'(a). The expression f(x)f'(x) is a function (the gradient at a general point). The value f(a)f'(a) is the gradient at the specific point x=ax = a. Examiners often ask for the gradient "at x=2x = 2" — you must substitute after differentiating.

  • Differentiating the constant term incorrectly. A common error is writing ddx(7)=7\dfrac{d}{dx}(7) = 7 or =7x= 7x. The derivative of any constant is zero.

  • Mixing up first and second derivative notation. dydx\dfrac{dy}{dx} and d2ydx2\dfrac{d^2y}{dx^2} are not the same; the superscripts in d2ydx2\dfrac{d^2y}{dx^2} do not mean squaring either yy or dxdx separately.

  • Applying the power rule to products/quotients without expanding first. At this stage, always expand brackets or separate fractions before differentiating — do not try to differentiate a product like x2(x+3)x^2(x+3) as two separate pieces without expanding.

  • Sign errors with negative powers. When differentiating 3x23x^{-2}, the result is 6x3-6x^{-3} (negative multiplied by the existing coefficient), not +6x3+6x^{-3}.


Practice Questions

Q1. Given f(x)=5x34x+9f(x) = 5x^3 - 4x + 9, find f(x)f'(x) and f(2)f'(2).

<details><summary>Show answer</summary>

Differentiate term by term:

f(x)=15x24f'(x) = 15x^2 - 4

The constant 9 disappears (derivative = 0).

Substitute x=2x = 2:

f(2)=15(4)4=604=56f'(2) = 15(4) - 4 = 60 - 4 = 56

The gradient of the curve at x=2x = 2 is 56\mathbf{56}.

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Q2. Given y=6x22x3+5xy = 6x^2 - \dfrac{2}{x^3} + 5\sqrt{x}, find dydx\dfrac{dy}{dx}.

<details><summary>Show answer</summary>

Rewrite in index form:

y=6x22x3+5x1/2y = 6x^2 - 2x^{-3} + 5x^{1/2}

Apply power rule to each term:

dydx=12x(3)(2)x4+12(5)x1/2=12x+6x4+52x1/2\frac{dy}{dx} = 12x - (-3)(2)x^{-4} + \frac{1}{2}(5)x^{-1/2} = 12x + 6x^{-4} + \frac{5}{2}x^{-1/2}

Which may be written as:

dydx=12x+6x4+52x\frac{dy}{dx} = 12x + \frac{6}{x^4} + \frac{5}{2\sqrt{x}}
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Q3. Given f(x)=x36x2+2f(x) = x^3 - 6x^2 + 2, find f(x)f'(x) and f(x)f''(x).

<details><summary>Show answer</summary>

First derivative:

f(x)=3x212xf'(x) = 3x^2 - 12x

Second derivative (differentiate f(x)f'(x)):

f(x)=6x12f''(x) = 6x - 12
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Q4. A curve has equation y=(2x+3)(x1)y = (2x + 3)(x - 1). Find dydx\dfrac{dy}{dx} and hence find the gradient of the curve at the point where x=0x = 0.

<details><summary>Show answer</summary>

Expand the brackets first:

y=2x22x+3x3=2x2+x3y = 2x^2 - 2x + 3x - 3 = 2x^2 + x - 3

Differentiate:

dydx=4x+1\frac{dy}{dx} = 4x + 1

Substitute x=0x = 0:

dydxx=0=4(0)+1=1\frac{dy}{dx}\bigg|_{x=0} = 4(0) + 1 = 1

The gradient of the curve at x=0x = 0 is 1\mathbf{1}.

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Q5. Given y=3x42x2xy = \dfrac{3x^4 - 2x^2}{x}, x0x \neq 0, find dydx\dfrac{dy}{dx} and d2ydx2\dfrac{d^2y}{dx^2}.

<details><summary>Show answer</summary>

Simplify by dividing each term by xx:

y=3x32xy = 3x^3 - 2x

First derivative:

dydx=9x22\frac{dy}{dx} = 9x^2 - 2

Second derivative:

d2ydx2=18x\frac{d^2y}{dx^2} = 18x
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Connections

  • Prerequisite — Coordinate Geometry (straight-line gradients): The chord-gradient formula ΔyΔx\dfrac{\Delta y}{\Delta x} is a direct extension of the straight-line gradient formula. A secure understanding of gradient as "rise over run" is essential before this topic.

  • Prerequisite — Index Laws: Rewriting terms in index form (e.g. x=x1/2\sqrt{x} = x^{1/2}, 1xn=xn\frac{1}{x^n} = x^{-n}) is a critical algebraic skill needed at every stage of differentiation.

  • Next — Differentiating Polynomials and Applying the Power Rule: This note establishes the concept and notation; the next step is fluent, systematic differentiation of a wide range of polynomial and rational expressions.

  • Next — Tangents and Normals: Once you can compute f(a)f'(a), you can find equations of tangents (gradient =f(a)= f'(a)) and normals (gradient =1/f(a)= -1/f'(a)) at a given point.

  • Next — Stationary Points and Curve Sketching: Setting f(x)=0f'(x) = 0 locates stationary points; the sign of f(x)f''(x) at those points determines whether each is a maximum, minimum, or point of inflection.

  • Next — Increasing and Decreasing Functions: The sign of dydx\dfrac{dy}{dx} over an interval tells you whether the function is increasing (>0> 0) or decreasing (<0< 0).

Figures

Graph of a curve y=f(x) showing point P on the curve, a nearby point Q, and the chord PQ. As Q moves closer to P, the chord approaches the tangent at P.
As Q slides along the curve towards P (i.e. h → 0), the chord PQ rotates until it coincides with the tangent at P. The gradient of this tangent is the derivative f′(x) at P.

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