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A Level · Cambridge (CIE) · 9709

Convert between Cartesian and polar complex forms

Use modulus and argument to express a non-zero number as r(cos θ + i sin θ) or re^(iθ), and recover its Cartesian components.

Pure Mathematics 3 · Complex numbers · 3.9
Exam scope and assessment notes

Pure Mathematics 3 (Paper 3, A Level) · Mathematics 9709, 2026–2027, section 3.9. Paper 1 algebra and radian trigonometry are assumed. Use Cartesian working for products, quotients and the two square roots of a non-zero complex number. Arguments usually use −π < θ ≤ π; an alternative interval 0 ≤ θ < 2π is acceptable unless specified. The argument of zero is undefined. General nth-root methods are beyond this mapped sequence. Written practice is self-checked; human subject-teacher review remains pending.

Before you begin

  • Find modulus and argument on an Argand diagram.
  • Use exact sine and cosine values in radians.

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

Quick readiness check

Which expression means cis θ?

What you will learn

  • Convert Cartesian components to modulus-argument form with a valid quadrant.
  • Recover exact Cartesian components from trigonometric or exponential form.

Polar form stores a length and a direction

For non-zero z = x + iy, set r = |z| > 0 and choose an argument θ. Then x = rcos θ and y = rsin θ, giving z = r(cos θ + i sin θ). Exponential notation re^(iθ) represents the same complex value. A useful abbreviation is cis θ = cos θ + i sin θ, but write out its meaning when first used. The number 1 + i√3 is 2cis(π/3), since the coordinates are 2·1/2 and 2·√3/2.

Use the quadrant and the stated interval when choosing θ; arctan(y/x) alone cannot distinguish opposite points. For x = 0 choose the positive or negative imaginary direction directly instead of dividing by zero. The modulus is non-negative; using a negative radius requires changing the direction and is not the standard modulus-argument representation.

Convert back using both trigonometric components

For 3cis(7π/4), cos(7π/4) = √2/2 and sin(7π/4) = −√2/2, so Cartesian form is 3√2/2 − (3√2/2)i. Its principal argument is −π/4, equivalent modulo 2π. Replacing 7π/4 by π/4 would change the imaginary sign and the point. An exact radian angle is preferable to a rounded decimal during subsequent operations.

Although zero can be written with r = 0 and any trigonometric angle, this does not give it an argument: every such expression equals the origin. The non-zero restriction is needed for directional statements and polar division. Do not confuse e^(iθ) with e^θ; the imaginary exponent encodes the cosine and sine pair, rather than ordinary real exponential growth.

Pause and explain

Which polar form represents a point in quadrant III?

Put the idea to work

Worked example

Express 1 + i√3 in trigonometric and exponential form.

Show the worked solution
  1. Its modulus is √(1 + 3) = 2.
  2. Quadrant I gives θ = π/3.
  3. Use x = rcos θ and y = rsin θ to verify both components.

Answer 2(cos(π/3) + i sin(π/3)) = 2e^(iπ/3).

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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

Express √3 + i in modulus-argument and exponential form using the principal argument.

Give me a hint

Calculate the length and use the quadrant I exact angle with tangent 1/√3.

Compare my reasoning
  1. The modulus is √(3 + 1) = 2.
  2. The principal argument is π/6.
  3. The components of 2cis(π/6) are √3 and 1, so the exponential form is 2e^(iπ/6).

2cis(π/6) = 2e^(iπ/6).

Look for these in your work

  • Use the exact modulus and radian angle.
  • Check both Cartesian components.
2 · Independent

Convert −2 − 2√3i to polar form with a principal argument, and give an equivalent angle in 0 ≤ θ < 2π.

Give me a hint

Its reference angle is π/3 but both coordinates are negative.

Compare my reasoning
  1. The modulus is √(4 + 12) = 4.
  2. Quadrant III gives principal argument −2π/3.
  3. Adding 2π gives 4π/3; both have cosine −1/2 and sine −√3/2.

4cis(−2π/3); equivalent angle 4π/3.

Look for these in your work

  • Check both signs when selecting the quadrant.
  • Give the equivalent angle in the requested interval.
3 · Transfer

Convert 3e^(7πi/4) to exact Cartesian form and state its principal argument.

Give me a hint

Use the signs of cosine and sine at the given quadrant IV angle.

Compare my reasoning
  1. Write 3[cos(7π/4) + i sin(7π/4)].
  2. Use cosine √2/2 and sine −√2/2 to obtain 3√2/2 − (3√2/2)i.
  3. Subtracting 2π from 7π/4 gives principal argument −π/4.

3√2/2 − (3√2/2)i; principal argument −π/4.

Look for these in your work

  • Preserve the exact components and imaginary sign.
  • Normalise the supplied angle without changing its direction.

Common mistakes

  • Use a non-negative modulus and a direction in the correct quadrant.
  • Preserve the sign of sine when converting back.
  • A zero modulus does not define an argument for zero.
Recall without your notes

What can you explain now?

What is the Cartesian form of 2e^(iπ/2)?

Compare with the explanation

2i.

The cosine component is zero and the sine component is 2.

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Make it stick

Convert a non-zero complex value between Cartesian, trigonometric and exponential forms, checking radius, angle interval and both coordinate signs.

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.

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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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