A-Level Maths Study Guides
A-Level Maths revision: differentiation, integration, and vectors.
16 topic guides with interactive diagrams, flashcards, and mark-scheme practice questions.
Differentiation: Rules & Applications
Interactive LabDifferentiation measures the instantaneous rate of change of a function and gives the gradient of the tangent to a curve at any point. At A-Level Maths, extending differentiation with the chain rule, product rule, quotient rule, and implicit differentiation lets you locate stationary points and solve optimisation problems.
5 definitions · 5 cards · 3 QsOpen →Integration: Techniques & Applications
Interactive ModelIntegration is the reverse process of differentiation and is used to find original functions from their rates of change as well as exact areas under curves. At A-Level Maths, you combine standard integrals with integration by substitution, integration by parts, and partial fractions to evaluate both indefinite and definite integrals.
5 definitions · 5 cards · 3 QsOpen →Vectors in 2D and 3D
Interactive ModelVectors describe quantities that possess both magnitude and direction in two-dimensional and three-dimensional space. In A-Level Maths, column vectors and i, j, k unit vectors are used to find distances, unit vectors, position vectors, and geometric relationships between points and lines.
5 definitions · 5 cards · 3 QsOpen →Proof by Contradiction, Algebraic Division & Partial Fractions
Interactive LabMathematical proof and algebraic manipulation underpin every topic in Pure Mathematics across AQA, Edexcel, and OCR A-Level Maths. In Year 2 Pure, you must construct rigorous proofs by contradiction, including proving the irrationality of √2 and Euclid's proof that there are infinitely many prime numbers. Alongside formal proof, decomposing rational functions into partial fractions is an essential gateway skill: you cannot integrate complex rational expressions or expand them using the general binomial theorem until you have split them into simpler fractions, including cases with repeated linear factors and improper algebraic fractions.
6 definitions · 6 cards · 4 QsOpen →Arithmetic & Geometric Series, Sum to Infinity & Recurrence Relations
Interactive LabSequences and series bridge pure algebra, discrete modelling, and calculus. At A-Level, you need more than just plugging numbers into the arithmetic and geometric sum formulas: examiners regularly ask for the formal first-principles derivations of S_n for both series, test convergence criteria (|r| < 1) for infinite geometric series, and combine sigma notation (Σ) with logarithms to find when a sum first exceeds a threshold. You must also classify recurrence relations u_(n+1) = f(u_n) as increasing, decreasing, or periodic with period k.
6 definitions · 6 cards · 4 QsOpen →Binomial Expansion for Negative & Fractional Powers & Validity
Interactive LabIn Year 1 Pure Maths, the binomial expansion of (a + b)^n only works when n is a positive integer, producing a finite polynomial of n + 1 terms using nCr coefficients. In Year 2 Pure Maths, Isaac Newton's general binomial theorem extends the expansion of (1 + x)^n to any rational power n, including negative integers (such as (1 + x)^(-2) = 1 / (1 + x)²) and fractions (such as (1 + x)^(1/2) = √(1 + x)). Because this infinite series only converges when |x| < 1, learning how to factor out a constant from (a + bx)^n and combining partial fractions with binomial expansions are top-tier exam skills.
6 definitions · 6 cards · 4 QsOpen →Exponentials, Logarithms & Linearising Non-Linear Data
Interactive LabExponential functions and logarithms appear across Pure Mathematics, Differential Equations, and Statistics. At A-Level, you must move fluently between exponential and logarithmic forms, solve disguised quadratic equations in e^x or a^x, and differentiate e^(kx) to find instantaneous rates of growth or decay. A guaranteed exam question tests your ability to reduce non-linear relationships, specifically power laws y = ax^n and exponential laws y = ab^x - into straight-line graphs by plotting log(y) against log(x) or log(y) against x.
6 definitions · 6 cards · 4 QsOpen →Parametric Equations, Cartesian Conversion & Parametric Calculus
Interactive LabMany curves in mathematics and physics, such as projectiles, orbits, cycloids, and figure-of-eight Lissajous figures, cannot be written as a single function y = f(x) because multiple y-values exist for a single x-value. Parametric equations solve this by expressing both x and y separately in terms of a third variable called the parameter (usually t or θ): x = f(t) and y = g(t). At A-Level, you must eliminate the parameter to find the Cartesian equation (including finding its domain and range), differentiate parametrically to locate tangents and turning points, and integrate parametrically to find areas.
6 definitions · 6 cards · 4 QsOpen →First-Order Differential Equations, Separation of Variables & Modelling
Interactive LabDifferential equations are the language of mathematical modelling in science, engineering, and finance. Whenever a rate of change is described in words, such as 'the rate of cooling of a liquid is proportional to the temperature difference' or 'the rate of population growth is proportional to both the current population and the remaining carrying capacity' - it translates directly into a first-order differential equation. At A-Level, you must formulate differential equations from connected rates of change, solve them by separating variables (often using partial fractions or reverse chain rule), and apply boundary conditions to find particular solutions.
6 definitions · 6 cards · 4 QsOpen →Change of Sign, Cobweb/Staircase Iteration, Newton-Raphson & Trapezium Rule
Interactive LabMost equations encountered in real-world engineering and science, such as e^x = 4 - x² or sin(x) = ln(x) - cannot be solved algebraically, and many definite integrals such as ∫ e^(-x²) dx have no elementary antiderivative. Numerical methods provide systematic algorithms to approximate roots and integrals to any desired degree of accuracy. At A-Level, you must write watertight change-of-sign proofs, classify fixed-point iterations x_(n+1) = g(x_n) using staircase and cobweb diagrams, apply and explain failure cases of the Newton-Raphson method, and determine whether the Trapezium Rule overestimates or underestimates an integral.
6 definitions · 6 cards · 4 QsOpen →2D & 3D Vectors, Position Vectors, Geometric Proofs & Vector Kinematics
Interactive LabVectors provide a unified coordinate-free framework for geometry and mechanics in two and three dimensions. In Year 2 A-Level Maths, you extend i-j vectors by adding the orthogonal unit vector k along the z-axis, calculating 3D magnitudes, unit vectors, and angles with the coordinate axes. Examiners test two demanding applications: pure geometric vector proofs (finding unknown ratios where two lines intersect by expressing a point's position vector in two independent ways and equating coefficients) and 2D/3D vector kinematics in Mechanics.
6 definitions · 6 cards · 4 QsOpen →Coordinate Geometry of Circles, Tangents, Normals & Circle Theorems
Interactive LabCoordinate geometry of circles combines pure algebra (completing the square, simultaneous quadratic equations, and the discriminant b² - 4ac) with Euclidean geometry. Every circle question at A-Level is built around three geometric properties that allow you to avoid messy calculus: first, the tangent to a circle is perpendicular to the radius at the point of contact; second, the angle in a semicircle is a right angle (90°); and third, the perpendicular from the centre of a circle to a chord bisects the chord.
6 definitions · 6 cards · 4 QsOpen →Functions, Domain & Range, Composite/Inverse & Modulus Graphs
Interactive LabFunctions are the structural backbone of Year 2 Pure Mathematics. Examiners test subtle distinctions: why a many-to-one quadratic must have its domain restricted at its vertex before an inverse function can exist, why the domain of f⁻¹(x) is always determined by finding the range of f(x) first, and how to solve modulus equations and inequalities without introducing extraneous roots. You must also sketch and combine multi-step graph transformations, distinguishing clearly between the vertical reflection y = |f(x)| and the horizontal reflection y = f(|x|).
6 definitions · 6 cards · 4 QsOpen →Variable Acceleration (Calculus) & 2D Projectile Motion
Interactive LabIn A-Level Mechanics, the first question you must ask before writing any equation is: 'Is the acceleration constant or a function of time t?' When acceleration varies with time, whether in 1D along a straight line or in 2D using i-j vectors, the SUVAT equations are completely invalid and you must use differentiation and integration. Conversely, a projectile moving freely under gravity has constant acceleration (0 horizontally and -g vertically), allowing you to combine horizontal and vertical SUVAT equations to find maximum height, time of flight, and the parabolic Cartesian trajectory equation.
6 definitions · 6 cards · 4 QsOpen →Connected Particles, Pulleys, Inclined Planes with Friction & Moments
Interactive LabForces, Newton's Laws, and Rigid Body Moments make up the core of Paper 3 Mechanics. In Year 2 Mechanics, simple horizontal force diagrams evolve into rough inclined planes where normal reaction R is altered by angled forces, connected particles passing over smooth pulleys (including string-breaking or floor-hitting two-stage problems), and non-uniform rigid rods resting on supports at the point of tilting or slipping. Learning clear free-body diagrams and resolving parallel and perpendicular to a plane or rod will secure full marks.
6 definitions · 6 cards · 4 QsOpen →Conditional Probability, Normal Approximation & PMCC Hypothesis Testing
Interactive LabYear 2 A-Level Statistics unites three high-yield exam topics: conditional probability across Venn diagrams, two-way tables, and tree diagrams; the Normal distribution (including finding unknown mean μ and standard deviation σ simultaneously using Z-scores, and approximating Binomial distributions); and testing whether linear correlation or non-linear exponential/power regression is statistically significant using the Product Moment Correlation Coefficient (PMCC, r).
6 definitions · 6 cards · 4 QsOpen →
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