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A Level · Cambridge (CIE) · 9709

Plot Argand points and find modulus and argument

Read a Cartesian complex number as a point, calculate its distance from the origin and choose its angle in the correct quadrant.

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

  • Use Pythagoras and radian trigonometry.
  • Locate points in Cartesian quadrants.

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

Quick readiness check

Where is −3 + 4i on an Argand diagram?

What you will learn

  • Represent complex numbers and displacements on an Argand diagram.
  • Find modulus and a valid argument with explicit quadrant and zero checks.
One point, a distance and a directionz = −3 + 4iReIm0z = (−3,4)−34θ|z| = 5 · θ ≈ 2.214 rad
The Argand point z = −3 + 4i has coordinates (−3,4) and modulus 5. The arrow joins zero to z, and the arc measures its quadrant II principal argument π − arctan(4/3), approximately 2.214 radians. The dashed projections show its signed components. Both axes use the same scale, so the vector length and direction match the complex value. The negative real-axis principal argument would be π, and zero itself has no argument.

The two parts become perpendicular coordinates

An Argand diagram plots Re z horizontally and Im z vertically. The number −3 + 4i is the point (−3, 4), and the origin represents zero. With equal axis scales, the distance to the origin is |z| = √(x² + y²); here it is 5. Modulus is a non-negative real quantity and is zero only for z = 0. The distance between points a and b is |b − a|, not generally the difference of their individual moduli.

The argument is the directed angle from the positive real axis to the origin-to-point vector, positive anticlockwise. For −3 + 4i it lies in quadrant II, so θ = π − arctan(4/3) ≈ 2.214 radians, or 126.9°. A calculator’s arctan(−4/3) alone gives a quadrant IV angle pointing in the opposite direction. Sketch or inspect signs before accepting an inverse-tangent value.

Angles are equivalent modulo a full turn

Arguments differ by 2π. The usual principal interval is −π < θ ≤ π; for −2 − 2i its principal argument is −3π/4, while 5π/4 is equivalent in 0 ≤ θ < 2π. On the negative real axis the usual principal value is π, not −π. Follow a question’s specified interval and use radians in algebraic expressions unless degrees are requested.

Zero has modulus zero but no argument: its vector has no direction. The conjugate reflects a point across the real axis; its argument is the negative of the original modulo 2π, with the negative real-axis endpoint represented consistently. A displacement from a to b has complex value b − a and its own modulus and argument. These describe the length and direction of the movement, rather than either point’s position from the origin.

Pause and explain

What is the argument of z = 0?

Put the idea to work

Worked example

Plot z = −3 + 4i and find its modulus and principal argument.

Show the worked solution
  1. Plot (−3, 4) in quadrant II with equal axis scales.
  2. Use |z| = √(9 + 16) = 5.
  3. Its quadrant II argument is π − arctan(4/3) ≈ 2.214 rad, or 126.9°.

Answer |z| = 5; arg z = π − arctan(4/3) ≈ 2.214 rad (126.9°).

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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

Find the modulus and principal argument of 1 + i√3.

Give me a hint

Its point is in quadrant I with tangent √3.

Compare my reasoning
  1. The modulus is √(1 + 3) = 2.
  2. The quadrant I angle with tangent √3 is π/3.
  3. The coordinates 2cos(π/3) = 1 and 2sin(π/3) = √3 check the direction.

Modulus 2; principal argument π/3.

Look for these in your work

  • Calculate modulus from both squared components.
  • Check the angle against both coordinate signs.
2 · Independent

Find the modulus of −2 − 2i and give its argument in each interval −π < θ ≤ π and 0 ≤ θ < 2π.

Give me a hint

Its point lies in quadrant III; the reference angle is π/4.

Compare my reasoning
  1. The modulus is √8 = 2√2.
  2. In the principal interval choose −3π/4.
  3. Adding 2π gives 5π/4 in the non-negative interval; both point to the same quadrant.

Modulus 2√2; arguments −3π/4 and 5π/4 in the respective intervals.

Look for these in your work

  • State which interval each angle belongs to.
  • Use equivalent directions rather than the quadrant I arctangent alone.
3 · Transfer

A point moves from a = 1 + 2i to b = 4 − 2i. Find the complex displacement, its distance and principal direction angle.

Give me a hint

Use b − a before calculating distance or direction.

Compare my reasoning
  1. The displacement is 3 − 4i.
  2. Its modulus is √(9 + 16) = 5.
  3. It points to quadrant IV, so its argument is −arctan(4/3) ≈ −0.9273 rad, or −53.1°.

Displacement 3 − 4i; distance 5; direction −arctan(4/3) ≈ −0.9273 rad (−53.1°).

Look for these in your work

  • Use the directed difference from start to finish.
  • Check the displacement’s quadrant and angle convention.

Common mistakes

  • Check the quadrant before choosing an inverse-tangent angle.
  • Argand axes show the real and imaginary coefficients, with equal scales for metric geometry.
  • The argument of zero is undefined; normalise the negative-axis endpoint consistently.
Recall without your notes

What can you explain now?

What is the principal argument of −4 using −π < θ ≤ π?

Compare with the explanation

π.

It points along the negative real axis; −π lies outside this specified interval.

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

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Make it stick

Plot a non-zero complex point or displacement and find its distance and directed angle, checking the quadrant and argument interval.

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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