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Differentiation 2

The shape of functions: increasing and decreasing, second derivatives, turning points, and points of inflection.

01

Topic Importance

Differentiation as a whole is the most important topic on Paper One — 50 questions over the last 12 years, more than any other topic. Differentiation 2 is where those questions are usually going: the classic exam asks — where is a function increasing, where are its turning points, what kind of turning points are they — all live in this block.

The three blocks of differentiation with the second highlighted: Differentiation 2 covers the shape of functions

Differentiation 1 taught you how to compute a derivative. This block teaches you what to do with it.

02

What the Topic Covers

Differentiation 2 focuses on the rates of change of functions — using the derivative to describe a function's shape.

First, increasing and decreasing: the derivative is a function representing the rate of change, so where it is positive or negative tells you where the original function rises or falls. Then second derivatives — what they mean and how to compute them. Then turning points, the special case where the derivative equals zero, with the second derivative classifying each as a maximum or minimum. And finally points of inflection, where the slope itself switches from increasing to decreasing.

Graph of a cubic with its derivative, a quadratic; the roots of the quadratic line up with the turning points of the cubic
Example question

Find the turning points of \(f(x) = x^3 - 3x\) and use the second derivative to classify them.

03

Exam Correlations

In our breakdown of the past papers, Differentiation 1, 2, and 3 are bundled together under the umbrella of Differentiation — whenever the correlation data says "Differentiation", it means that bundle. Taken together, it appears 50 times over 12 years, sharing questions most often with Algebra (20 shared appearances), integration (18), and functions (14).

Questions shared with differentiation over 12 years: algebra 20, integration 18, functions 14, exponentials and logs 9, length area and volume 6, trigonometry 6, and smaller counts for the remaining topics

The algebra share matters especially for this block: finding a turning point of a cubic means differentiating it and then solving a quadratic — the Algebra 2 roots skill. Hidden inside the classic Differentiation 2 question is an algebra question.

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Turning-point questions are among the most predictable on the paper. If your derivative rules and quadratic roots are both solid, this block converts them into reliable marks.

04

Concept Connections

This block sits in the middle of the differentiation chain.

Differentiation 1 and Algebra 3 feed into Differentiation 2, which feeds onward into Differentiation 3
Comes from The idea it gives you Where you will use it in Differentiation 2
Differentiation 1 \(\dfrac{d}{dx}\left(x^3 - 3x\right) = 3x^2 - 3\) The rules — every question in this block starts by computing a derivative with the rules from block one.
Algebra 3 \(f'(x) < 0\) Quadratic inequalities — finding where a function decreases is solving an inequality on its derivative.

Onward, Differentiation 3 applies everything here to real contexts — velocity and acceleration are exactly the first and second derivatives you have just learned to read.

Topic A question you will meet there The Differentiation 2 skill inside it
Differentiation 3 \(a = \dfrac{d^2s}{dt^2}\) Second derivatives — acceleration is the second derivative of displacement; the physics is this block's ideas in context.
05

Study Order

There are four sub-topics in Differentiation 2, and they stack in strict order. Click each step to see how.

Increasing and Decreasing

The first derivative is a function representing the rate of change — where it is positive the function increases, where it is negative the function decreases. As noted in Algebra 3, finding those regions is a quadratic inequality on the derivative.

\(f'(x) > 0 \;\text{ increasing}, \quad f'(x) < 0 \;\text{ decreasing}\)
Second Derivatives

Differentiate the derivative and you get the rate of change of the rate of change. Learn what it means and how to compute it — the next two steps both use it.

\(f''(x) = \dfrac{d}{dx}\, f'(x)\)
Turning Points

The special case where the derivative equals zero rather than being greater or less than it. The second derivative — from the previous step — tells you whether each one is a maximum or a minimum.

\(f'(x) = 0, \quad f''(x) < 0 \;\text{ max}, \quad f''(x) > 0 \;\text{ min}\)
Points of Inflection

Where the slope itself switches from increasing to decreasing (or vice versa) — which is not the same as the function switching direction; a function can keep increasing while its rate of increase falls. It happens where the second derivative is zero, and it comes last because it builds on everything in this block.

\(f''(x) = 0\)
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