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A Level · Cambridge (CIE) · 9709

Use double-angle identities without losing valid solutions

Choose an identity that suits the available ratio, expand the solution interval and protect values lost by division or a narrower substitution.

Section 2.3 · Trigonometry

Pure Mathematics 2 & 3 · Trigonometry · 2.3 / 3.3
Exam scope and assessment notes

Pure Mathematics 2 (Paper 2, AS only) and Pure Mathematics 3 (Paper 3, A Level) · Mathematics 9709, 2026–2027. Paper 1 knowledge is assumed. The AS route using Papers 1 + 2 cannot be carried forward to A Level. Shared sections 2.3 and 3.3 cover all six trigonometric functions, reciprocal squared identities, compound and double angles, and amplitude-phase forms used in simplification, exact evaluation and equations. State angle units, keep original domains and find every solution in the supplied interval. Written practice is self-checked.

Before you begin

  • Use compound-angle formulae, factor products and solve basic trigonometric equations.
  • Check original domains and distinguish sin² θ from sin 2θ.

Work on paper. Try each question before revealing help, and explain why your method works.

Quick readiness check

Which identity is correct for sin 2θ?

What you will learn

  • Use sin 2A, all three forms of cos 2A and tan 2A with their valid domains.
  • Solve doubled-angle equations over the complete transformed interval without deleting a valid zero factor.

Choose a form that uses the ratio you know

Putting the same angle into the addition formulae gives sin 2A = 2 sin A cos A and cos 2A = cos² A − sin² A. Using sin² A + cos² A = 1 produces cos 2A = 1 − 2 sin² A = 2 cos² A − 1. If sin A is supplied, choose the sine-square form; if cosine is supplied, choose the cosine-square form. For sin A = 3/5, cos 2A = 1 − 18/25 = 7/25 without needing a sign choice for cos A.

The tangent form is tan 2A = 2 tan A/(1 − tan² A) where both tan A and tan 2A are defined. Its denominator excludes tan A = ±1. It is a representation on a restricted domain, not a reason to exclude extra inputs from an original tan 2A equation: at A = 90°, tan A is undefined, but tan 180° = 0 is valid. If the substituted representation narrows the original domain, inspect those omitted inputs separately.

Factor before dividing and transform the whole interval

For sin 2θ = cos θ, use 2 sin θ cos θ = cos θ and factor cos θ(2 sin θ − 1) = 0. On 0° ≤ θ < 360°, the cosine factor gives 90° and 270°, while sin θ = 1/2 gives 30° and 150°. Dividing by cos θ at the start would erase two valid solutions. Checking the original equation distinguishes a valid zero factor from an excluded original denominator.

If cos 2θ = 1/2 on 0° ≤ θ < 360°, the doubled angle runs through 0° ≤ 2θ < 720°. Its four values are 60°, 300°, 420° and 660°, giving θ = 30°, 150°, 210° and 330°. Searching only one turn of 2θ would miss two answers. State whether an interval includes its endpoints, then filter the recovered angles using the original interval and equation.

Pause and explain

Why must cos θ = 0 be checked before dividing sin 2θ = cos θ by cos θ?

Put the idea to work

Worked example

Solve sin 2θ = cos θ for 0° ≤ θ < 360°.

Show the worked solution
  1. Use sin 2θ = 2 sin θ cos θ and bring both terms to one side.
  2. Factor cos θ(2 sin θ − 1) = 0 without dividing by the cosine factor.
  3. Use both factors: cos θ = 0 gives 90° and 270°, while sin θ = 1/2 gives 30° and 150°; check all four in the original equation.

Answer θ = 30°, 90°, 150° or 270°.

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From guided practice to a new situation

Write your answer and reasoning first. Use a hint only if you are stuck. The model solution is for self-checking; your written work is not automatically marked.

1 · Guided

Solve cos 2θ = 1/2 for 0° ≤ θ < 360°.

Give me a hint

Double both limits before listing the cosine solutions, then divide every angle by 2.

Compare my reasoning
  1. The new angle u = 2θ satisfies 0° ≤ u < 720°.
  2. Cosine 1/2 occurs at u = 60°, 300°, 420° and 660° in that interval.
  3. Divide by 2 to obtain θ = 30°, 150°, 210° and 330°, all satisfying the original equation.

θ = 30°, 150°, 210° or 330°.

Look for these in your work

  • Search the whole doubled interval rather than only one turn.
  • Return every solution to the original variable and interval.
2 · Independent

Solve tan 2θ = 0 for 0° ≤ θ < 360°. Explain why using tan θ as a variable alone can miss answers.

Give me a hint

Solve the original doubled-angle equation first, then inspect the domain of the proposed auxiliary tangent.

Compare my reasoning
  1. On 0° ≤ 2θ < 720°, tangent is zero at 0°, 180°, 360° and 540°.
  2. Hence θ = 0°, 90°, 180° and 270°; tan 2θ is defined and zero at each.
  3. The auxiliary tan θ is undefined at 90° and 270°, so its quotient formula alone would miss those valid original inputs. θ = 360° is excluded by the stated upper endpoint.

θ = 0°, 90°, 180° or 270°; 90° and 270° require checking outside the tan θ substitution's domain.

Look for these in your work

  • Check the original doubled-angle function's domain.
  • Recover valid inputs omitted by a narrower auxiliary expression.
3 · Transfer

A supplied angular response is B(θ) = 2 sin 2θ − cos θ for 0 ≤ θ < 2π radians. Find every zero exactly, using α = sin⁻¹(1/4).

Give me a hint

Use the double-angle sine formula and retain both factors instead of dividing by cosine.

Compare my reasoning
  1. Rewrite B(θ) as 4 sin θ cos θ − cos θ = cos θ(4 sin θ − 1).
  2. The cosine zeros are π/2 and 3π/2; the other factor gives sin θ = 1/4 and angles α and π − α.
  3. All four lie in the interval and satisfy the original response; α is the positive principal inverse-sine angle.

θ = α, π/2, π − α or 3π/2, where α = sin⁻¹(1/4).

Look for these in your work

  • Select the useful identity and preserve every zero factor.
  • Use the radian interval and verify all recovered roots.

Common mistakes

  • sin 2θ is not 2 sin θ or sin² θ.
  • A zero factor may be a valid solution; division by that factor can delete it.
  • A tangent substitution can omit angles where tan θ is undefined but tan 2θ is defined; check them separately.
Recall without your notes

What can you explain now?

If sin θ = 3/5, find cos 2θ exactly.

Compare with the explanation

7/25.

Use 1 − 2 sin² θ = 1 − 18/25, so no cosine sign choice is required.

After trying it yourself, choose your next review. This is your self-assessment.

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Make it stick

Give the double-angle identities and choose a cosine form for a supplied sine value. Explain two ways an algebraic step can accidentally delete original equation solutions.

If you needed the solution, close it and solve the problem again from a blank page. A correct answer is stronger when you can explain the reason for each step.

Keep learning Mathematics

Course scope and assessment

312 sequenced lessons provide 936 guided, independent and application problems covering the 160 objectives in sections 1.1–1.8, 2.1–2.6, 3.1–3.9, 4.1–4.5, 5.1–5.5 and 6.1–6.5. The map lists all 38 sections across six alternative components; all eight Pure Mathematics 1 sections and all six Pure Mathematics 2 sections, from Paper 2 Algebra through Numerical solution of equations, currently have full teaching sequences. Paper 3 Algebra, section 3.1, links the six shared foundation lessons plus six lessons on partial fractions and rational binomial expansions; Paper 3 logarithms, trigonometry and numerical equations use the shared lessons, with the Paper 1 graph foundation linked into trigonometry. Paper 3 differentiation combines the shared methods with its inverse-tangent derivative lesson. Paper 3 Integration links four shared standard and identity lessons plus seven advanced lessons, covering all six section 3.5 requirements. Eight Vectors lessons cover all six section 3.7 requirements, with 2D and 3D line and solid applications. Nine Differential equations lessons cover all four section 3.8 requirements, including Paper 3 integration techniques, initial conditions, equilibrium solutions and conditional model interpretations. Eleven Complex numbers lessons cover all eight section 3.9 requirements, with seven Argand diagrams and explicit argument and boundary checks. All nine Pure Mathematics 3 sections now have teaching linked to every mapped requirement. Nine Forces and equilibrium lessons cover all seven section 4.1 requirements, with six force diagrams, signed incline-friction intervals, reaction-dependent pull and push limits and separate-body third-law checks. Nine Kinematics lessons cover the four official section 4.2 requirements, with the graph requirement mapped to three relationships. Six motion diagrams support directed quantities, graph slopes and signed areas, Paper 1 time-calculus methods, reversal distances, constant-acceleration stages and shared-clock particle meetings. Six Momentum lessons cover both section 4.3 requirements, including signed system totals, conservation assumptions, outgoing velocities, coalescence, unknown masses and successive impacts. Four diagrams show system momentum through the stipulated events, and supplied kinetic-energy checks distinguish conservation of momentum from changes in kinetic energy. Twelve Newton’s laws lessons cover all four section 4.4 requirements, with vertical support and release stages, rough horizontal and incline motion, inferred parameters, hanging and surface pulley systems, rigid tow-bar thrust and slack-string transitions. Seven force diagrams support the separate-particle balances. Nine Energy, work and power lessons cover all five section 4.5 requirements, with angle-dependent work, kinetic and reference potential energy, signed net-work balances, smooth curved slides, rough and driven slopes, ideal connected-system energy and instantaneous power on hills. Five diagrams distinguish the energy inputs, losses and valid positive-speed force model. All five Mechanics sections now have teaching and staged practice linked to their mapped requirements. Thirteen Representation of data lessons cover all five section 5.1 requirements, including choice and limitations of displays, ordered and back-to-back stems, raw summaries and box plots, unequal-width density histograms, cumulative-frequency interpolation, descriptive moment calculations, grouped estimates, coding, combining two datasets and correcting totals. Six accessible diagrams retain repeated observations and distinguish numerical spread, frequency area and estimated readings. Ten Permutations and combinations lessons cover both official section 5.2 requirements, with selection and ordered roles, repeated objects, adjacency blocks, non-adjacency gaps, leading-zero cases, labelled multi-row seating and mixed restrictions. Six accessible diagrams show outcome trees, ordered versus unordered choices, repeated copies, blocks, gaps and distinct row seats. Eleven Probability lessons cover all four section 5.3 requirements, with equiprobable elementary outcomes, selection-based probabilities, complements and disjoint regions, independence tests, restricted sample spaces, two-way tables, replacement and removal trees, reversed conditions and unknown parameters. Seven accessible diagrams show dice outcomes, random subsets, event regions, a conditioned grid, a count table and two probability trees. Twelve Discrete random variables lessons cover all three official section 5.4 requirements, with complete probability tables, moment and parameter checks, binomial assumptions, exact probabilities and moments, geometric first-success probabilities, tails, expectation and integer reliability thresholds. Six accessible diagrams distinguish outcome grouping, weighted moments, fixed trials, discrete probability bars, waiting conventions and integer tail deadlines. Twelve Normal distribution lessons cover all three official section 5.5 requirements, with continuous-area interpretation, MF19 cumulative tables, full standardisation, tail and interval regions, conditional probabilities, percentiles, one- and two-parameter inference, binomial suitability, continuity corrections and approximate integer thresholds. Seven accessible diagrams show model areas, table reading, aligned scales, intervals, quantiles, matched binomial and normal shapes and whole integer cells. All five Statistics 1 sections now have teaching and staged practice linked to their mapped requirements. Fourteen Poisson distribution lessons cover all five official section 6.1 requirements, with homogeneous event-count assumptions, exposure scaling, exact masses and tails, conditional count events, moments, parameter inference, probability duration targets, disjoint and overlapping windows, rare-count binomial approximations, matched normal approximations and continuity corrections. Nine accessible diagrams show event exposures, unit conversions, discrete bars, complete tail complements, population moments, shared windows, approximate count models and integer cells. Exact checks distinguish approximate and exact close-target decisions. Fourteen Linear combinations lessons cover the six listed results in official section 6.2, with affine moments, signed scales and constant cases, expectation without independence, independent squared variance contributions, fixed and random fees, independent copies versus reused values, affine normal events, independent normal sums and differences, weighted and conditional areas, coefficient inference, exact independent Poisson sums and overlapping exposure limits. Nine accessible diagrams distinguish scale changes, variance contributions, component costs, copy mechanisms, aligned normal scales, summed areas, Poisson count pairs and unsupported distribution claims. Fourteen Continuous random variables lessons cover both official section 6.3 requirements, with density validity and units, support-aware intervals, complements and conditional regions, first and second moments, percentiles by direct density areas, symmetry checks, parameter inference, infinite-support power and exponential integrals, divergent-moment limits and combined applications. Nine accessible diagrams distinguish density height from probability, normalisation, negative-density failures, central and conditional areas, mean versus median, percentile locations and partial infinite tails. Explicit cumulative distribution function knowledge is not required. Eighteen Sampling and estimation lessons cover all eight official section 6.4 requirements, with population and frame definitions, random-number selection, sampling-quality limits, independent sample-mean moments, normal means, CLT conditions, SE scaling, raw, summarised and coded unbiased estimates, known-variance and large-sample mean intervals, repeated-sampling interpretation, precision planning, proportion intervals, sparse-outcome limits and contextual applications. Ten accessible diagrams distinguish selection frames, number rejection, repeated sample means, population versus mean density, CLT models, variance divisors, interval targets, illustrative coverage, integer size checks and proportion margins. Eighteen Hypothesis tests lessons cover all five official section 6.5 requirements, with pre-specified alternatives, inclusive count tails, explicit equal-tail conventions, integer critical regions and actual significance, exposure-aware Poisson tests, continuity-corrected count approximations, normal and large-sample mean tests, confidence-interval connections, error classifications, fixed-region binomial, Poisson and normal error probabilities and sample-size power comparisons. Nine accessible diagrams show the testing procedure, exact count regions, unequal Poisson tails, discrete significance jumps, corrected count boundaries, matching mean intervals and alternative error distributions. All shared lessons are counted once in the course total. All 38 sections now link teaching and practice. Eight earlier overview lessons remain available, but do not count as full section coverage. This is a content-availability measure, not full programme completion or exam readiness. Written practice is self-checked, not officially marked. Check the 2028–2030 syllabus separately if sitting an examination from 2028; this teaching map uses 2026–2027 requirements.

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