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LearnYMA01WMA11 · Pure Mathematics 1DifferentiationGradients, rates of change and second derivatives
Differentiation · Subtopic 3 of 4

Gradients, Rates of Change and Second Derivatives

Substitute an xx-value into dydx\dfrac{dy}{dx} to get the gradient there; set dydx\dfrac{dy}{dx} equal to a number to find where the curve has that gradient. Differentiating again gives the second derivative d2ydx2\dfrac{d^2y}{dx^2}, the rate at which the gradient itself changes.

Edexcel YMA01 WMA11≈ 30 minRevision 6 · updated 2026-10-27
Section 1 of 14

Learning objectives

  • Find the gradient of a curve at a given point.
  • Find the points where the gradient has a given value.
  • Interpret dydx\dfrac{dy}{dx} as a rate of change.
  • Find and evaluate second derivatives.
Pause and think

A ball's height is hh metres after tt seconds. What would dhdt\dfrac{dh}{dt} tell you? And d2hdt2\dfrac{d^2h}{dt^2}?

Section 2 of 14

Core idea

Start hereThe top of the hill

At the very top of a hill the ground is momentarily flat. Find where a curve's gradient is zero and you've found its peaks and valleys: the key to every "maximum profit" or "least material" problem.

The big idea

dydx>0\frac{dy}{dx}>0 increasing, <0<0 decreasing, =0=0 stationary. Classify with d2ydx2\frac{d^2y}{dx^2}: negative = maximum, positive = minimum.

1. Stationary points

y = x³ − 3x and its gradient function
−2−112−4−22460xyy = x³ − 3xdy/dx = 3x² − 3max (−1, 2)min (1, −2)
The gradient function is zero at x=±1x=\pm1, exactly where the curve has its turning points. Between them it is negative, and the curve goes downhill.
Finding and classifying

d2ydx2\frac{d^2y}{dx^2} tells whether the gradient is falling (max) or rising (min).

Worked exampley=x3−3xy=x^3-3x

Stationary points, their nature, and where yy is decreasing.

Goal
Points; interval.
Strategy
Flowchart.
  1. dydx=3x2−3=3(x−1)(x+1)\frac{dy}{dx}=3x^2-3=3(x-1)(x+1)
    Differentiate and factorise.
  2. x=±1: (−1,2), (1,−2)x=\pm1:\ (-1,2),\ (1,-2)
    y(−1)=−1+3y(-1)=-1+3, y(1)=1−3y(1)=1-3.
  3. d2ydx2=6x: −6 (max⁡), +6 (min⁡)\frac{d^2y}{dx^2}=6x:\ -6\ (\max),\ +6\ (\min)
    Signs.
  4. 3(x−1)(x+1)<0  ⟺  −1<x<13(x-1)(x+1)<0\iff-1<x<1
    Decreasing where gradient negative.
AnswerMax (−1,2)(-1,2), min (1,−2)(1,-2); decreasing for −1<x<1-1<x<1.
✓ CheckPositive cubic: max comes before min ✓.
Worked exampleAlways increasing

Show f(x)=x3+3xf(x)=x^3+3x is increasing for all xx.

Goal
Proof.
Strategy
Show f′(x)>0f'(x)>0 always.
  1. f′(x)=3x2+3f'(x)=3x^2+3
    Differentiate.
  2. x2≥0⇒3x2+3≥3>0x^2\ge0\Rightarrow3x^2+3\ge3>0
    Squares are non-negative.
Answerf′(x)>0f'(x)>0 for all xx, so ff is increasing.
✓ CheckNo stationary points: 3x2+3=03x^2+3=0 has no real solution ✓.
Edge cased2ydx2=0\frac{d^2y}{dx^2}=0 Inconclusive: y=x4y=x^4 (min) and y=x3y=x^3 (inflection) both give 00 at the origin.
Pause and think

Stationary point of y=x2−6xy=x^2-6x?

Summary

  • Gradient zero at stationary points.
  • Second derivative classifies.
Key words
Stationary point
Where the gradient is zero.
HistoryFluxions. Newton called derivatives "fluxions" and thought of quantities as flowing in time. He developed the idea during 1665–1666, when Cambridge closed because of the plague and he worked at home in Lincolnshire.
Fun factJerk, snap, crackle, pop. The derivative of acceleration is called jerk. Physicists have jokingly named the next derivatives snap, crackle and pop. Lift and rollercoaster designers keep jerk low so rides feel smooth.
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