Pure content (sections A–J)
Completing the square and the vertex
Rewrite as , read off the vertex, line of symmetry and least or greatest value, and use it to sketch parabolas and solve real problems about maximum height or area.
≈ 45 minSolving quadratic equations
Three ways to solve (factorising, completing the square and the formula), choosing the quickest, giving exact answers, and spotting quadratics in disguise such as .
≈ 45 minThe discriminant and the nature of roots
How tells you whether a quadratic has two, one or no real roots without solving it, how to find unknown constants from that, and how to show an expression is always positive.
≈ 40 minLinear and quadratic inequalities
Solve linear inequalities, then quadratic ones using critical values and a sketch, write the answer correctly (and, or, set notation), and combine two conditions.
≈ 35 minSimultaneous equations and lines meeting curves
Solve one linear and one quadratic equation together by substitution, find the points where a line meets a curve, and use the discriminant to decide whether a line crosses, touches or misses a curve.
≈ 40 minGradient, length, midpoint and equations of lines
The three measurements of a line segment (gradient, length and midpoint), the three forms of the equation of a straight line, and how to find where lines cross.
≈ 35 minParallel and perpendicular lines
Why parallel lines share a gradient and perpendicular gradients multiply to , and how to use that for perpendicular bisectors, the foot of a perpendicular and right-angled shapes.
≈ 35 minThe equation of a circle
Why is a circle, how to find the centre and radius from the expanded form by completing the square, and how to use diameters and right angles to find a circle's equation.
≈ 40 minTangents, chords and intersections
The two right angles that unlock circle questions (tangent and radius, centre and chord), and how substituting a line into a circle or curve turns geometry into a quadratic whose discriminant tells you how they meet.
≈ 45 minRadians
What a radian is, why mathematicians prefer it to the degree, and how to convert between the two, with exact values in terms of .
≈ 30 minArc length and sector area
Why the formulae and work, how to use them for perimeters, and how to work backwards from a length or an area to the radius or angle.
≈ 35 minSegments, chords and composite shapes
Cutting a sector with a chord: the segment formula, chord lengths, and the exam-style shaded regions built from sectors, triangles and tangents.
≈ 45 minExact values and the unit circle
How sine, cosine and tangent are defined for any angle using the unit circle, the CAST rule for signs, and the exact values at , and that you need without a calculator.
≈ 40 minGraphs and transformations
The shapes of , and , their symmetries, and how , , and in stretch and shift them. Then use the graphs to count solutions and model things that repeat.
≈ 45 minInverse trigonometric functions
Why has infinitely many solutions but has only one, the restricted domains that make sine, cosine and tangent one-to-one, and the principal values your calculator gives.
≈ 35 minTrigonometric identities
The two identities at the heart of AS trigonometry, where they come from, and how to use them to simplify expressions, find exact values and write clear proofs.
≈ 40 minSolving trigonometric equations
How to find every solution of a trig equation in an interval: principal value, symmetry, and period. Then equations with or inside, quadratics in or , and equations that need an identity first.
≈ 55 minBinomial expansion
How to expand without multiplying out brackets, using Pascal's triangle or , and how to pick out one term, such as the coefficient of or the term independent of .
≈ 45 minArithmetic progressions
Sequences that go up (or down) by the same amount each time: the th term, the sum of the first terms and why it works, and how to find unknowns from given terms or sums.
≈ 40 minGeometric progressions
Sequences that multiply by the same number each time: the th term, the sum of the first terms and its proof, finding unknowns, and the growth and decay problems they model.
≈ 45 minSum to infinity
How adding infinitely many numbers can give a finite answer, the condition that makes it happen, and how to use for recurring decimals, bouncing balls and exam problems.
≈ 35 minGradients and the power rule
What the gradient of a curve means, how chords close in on the tangent, and the power rule that makes differentiating fast, including roots, fractions and second derivatives.
≈ 45 minThe chain rule
How to differentiate a function of a function, such as or , without multiplying out: differentiate the outside, keep the inside, and multiply by the derivative of the inside.
≈ 40 minTangents and normals
Using to find the equation of the tangent and the normal to a curve at a point, points where the tangent has a given gradient, and the follow-on problems examiners love.
≈ 40 minStationary points and increasing functions
Where a curve turns: finding stationary points with , deciding whether each is a maximum or minimum with the second derivative, and finding where a function is increasing or decreasing.
≈ 45 minOptimisation and rates of change
Using derivatives to answer real questions: the largest area, the smallest surface, the cheapest design, and how fast one quantity changes when another one does.
≈ 50 minIndefinite integration
Integration as differentiation in reverse: integrating powers of , why there is always a , and how one point pins down the exact curve.
≈ 40 minIntegrating (ax + b)ⁿ
How to integrate a power of a linear bracket in one step by reversing the chain rule: raise the power, divide by the new power, and divide by the coefficient of .
≈ 35 minDefinite integrals
What means and how to evaluate it, why there is no , how to find an unknown limit, and how some integrals with an infinite limit still give a finite answer.
≈ 40 minAreas under and between curves
Using definite integrals to find areas: under a curve, regions below the axis, between a curve and a line, between two curves, and against the -axis.
≈ 50 minModulus graphs and equations
What means, how to sketch by reflecting the negative part, and two reliable ways to solve modulus equations: squaring both sides, or splitting into cases and checking.
≈ 40 minModulus inequalities
Solving inequalities with moduli: the "between" and "outside" patterns, squaring when both sides are moduli, and using a sketch when a modulus is compared with a line.
≈ 40 minPolynomials: division, factor and remainder theorems
Long division for polynomials, why the remainder on dividing by is just , and how the factor theorem lets you factorise cubics and find unknown coefficients.
≈ 45 minPartial fractions
Splitting a complicated fraction into simpler ones, which you need for integrating and for binomial expansions: the right form for each kind of denominator, and quick ways to find the constants.
≈ 45 minBinomial expansion for any rational n
Extending to negative and fractional powers: an infinite series that only works for , how to handle , and how to use the expansion with partial fractions and for approximations.
≈ 45 minLaws of logarithms
What a logarithm is (the power you need), the three laws that come straight from the index laws, and how to combine and simplify logarithms, including and .
≈ 40 minThe functions eˣ and ln x
Meet , the most natural base for growth, and its inverse : their graphs, asymptotes and intercepts, transformations, inverses and exact answers.
≈ 40 minExponential equations and inequalities
Bringing an unknown power down with logarithms: solving , equations with in two powers, disguised quadratics, and inequalities like "the smallest such that ".
≈ 40 minLogarithmic equations
Solving equations with the unknown inside a logarithm: combine with the log laws, remove the logs by raising to a power, and always check that the answers are in the domain.
≈ 35 minExponential models and linear forms
Using logarithms in the real world: modelling growth and decay with , and turning curves like and into straight lines so their constants can be read from a graph.
≈ 45 minReciprocal functions and their identities
Three new functions that are just over the old ones: their values, their graphs with asymptotes, the two Pythagorean identities they satisfy, and how to use them to solve equations.
≈ 40 minDerivatives of eˣ, ln x and trigonometric functions
The derivatives of , , , and , why they need radians, and how to combine them with the chain rule for functions like , and .
≈ 40 minThe product and quotient rules
How to differentiate two functions multiplied together, , or divided, , and how to tidy the result by factorising, so it is ready for finding stationary points.
≈ 45 minImplicit differentiation
Differentiating curves like that can't easily be written as : differentiate every term with respect to , remembering that terms pick up a factor .
≈ 45 minParametric differentiation
Curves described by a third variable : , . How to find their gradient with , and how to find tangents and special points.
≈ 40 minStationary points and tangents
Putting the Pure 2/3 rules to work: finding exact stationary points of curves like and , deciding their nature, and finding tangents and normals.
≈ 45 minIntegrating eˣ, 1/x and trigonometric functions
Reversing the new derivatives: , (the missing case ), and , and , always remembering to divide by .
≈ 40 minIntegration using trigonometric identities
Some trigonometric expressions can't be integrated as they stand. Rewriting them with identities, such as and , turns them into standard integrals.
≈ 40 minExact definite integrals and logarithms
Evaluating definite integrals exactly when the answer involves , or ; simplifying logarithmic answers; spotting ; and integrating with partial fractions.
≈ 45 minThe trapezium rule
When an integral can't be found exactly, estimate it: replace the curve by straight lines, add up the trapezia, and use the shape of the curve to say whether the answer is too big or too small.
≈ 35 minIntegration by substitution
The reverse of the chain rule: replace part of the integrand by , change into , change the limits, and turn a hard integral into an easy one.
≈ 50 minIntegration by parts
The reverse of the product rule: . How to choose , when to use it twice, and the trick for .
≈ 50 minCompound-angle formulae
is not . The correct formulae for , and , how to use them for exact values, and how they turn awkward equations into .
≈ 45 minDouble-angle formulae
Setting in the compound-angle formulae gives formulae for , and . Three versions of let you match the function in an equation, and they are essential for integration later.
≈ 45 minThe R-form (harmonic form)
Any combination is a single sine wave in disguise: . How to find and , and how this makes equations and maximum and minimum questions easy.
≈ 45 minLocating roots: sketches and sign changes
Most equations have no exact solution. Before you can approximate a root you need to know how many there are and roughly where: sketch two graphs to count them, then trap each one with a change of sign.
≈ 35 minFixed-point iteration
Feed a number into a formula, feed the answer back in, and repeat. When the values settle down they settle on a root. This lesson is the engine of every P2 and P3 numerical question.
≈ 40 minRearrangements, staircases and cobwebs
One equation can be rearranged into in many ways, and they do not all work. See why some iterations close in on a root, some zigzag towards it, and some run away, and learn to find the equation a limit satisfies.
≈ 40 minNewton–Raphson, bisection and interpolation
Slide down the tangent to the axis and repeat: the Newton–Raphson method roughly doubles the number of correct digits at every step. Also the two simpler interval methods in Edexcel FP1, and the ways all of them can go wrong. For AQA and Edexcel Further Pure 1; not examined in Cambridge 9709.
≈ 40 minForming differential equations
Turn words about change into mathematics. "Grows in proportion to", "decreases at a rate inversely proportional to", "flows in and leaks out": each becomes an equation for a derivative, ready to solve.
≈ 30 minSeparating the variables
Gather every with on one side and every with on the other, integrate, and add one constant. The method that solves almost every Paper 3 differential equation.
≈ 35 minParticular solutions with harder integrals
Exam differential equations are integration questions in disguise. Once the variables are separated, one side often needs partial fractions, integration by parts or a trigonometric identity. Bring all of Paper 3 integration to bear, then pin down the constant.
≈ 45 minModelling with differential equations
Populations, cooling drinks, draining tanks and spreading rumours. Solve the equation, use two pieces of data to fix the constants, and then ask the real questions: when, how much, and what happens in the long run?
≈ 45 minPosition vectors, magnitude and unit vectors
Vectors are arrows that carry a size and a direction. Learn to move between points with displacement vectors, measure them with three-dimensional Pythagoras, scale them to length , and use them to find midpoints, ratios and missing corners of shapes.
≈ 35 minDeduction, exhaustion and counterexample
A proof must work for every case, not just the ones you tried. Deduction uses algebra for a general case; exhaustion splits all possibilities into a few cases and checks each; and one single counterexample is enough to show a statement is false.
≈ 30 minProof by contradiction
To prove a statement, assume it is false and show that this leads to something impossible. The assumption must have been wrong, so the statement is true. The two famous examples are that is irrational and that there are infinitely many primes.
≈ 35 min