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A Level · Cambridge (CIE) · 9709

Use equal distances for bisectors and nearer point half planes

Derive a perpendicular-bisector equation from two complex distances and choose the correct half-plane for a nearer-point condition.

Section 3.9 · Complex numbers

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

  • Expand squared Cartesian distances and cancel like terms.
  • Interpret perpendicular bisectors and linear inequalities.

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

Quick readiness check

Why can |z − a| = |z − b| be squared without changing its solutions?

What you will learn

  • Derive and sketch a locus equidistant from two distinct points.
  • Select the half-plane for a strict or inclusive distance comparison.
Equal distance separates nearer sidesa = −2 + i · b = 4 + iReIm0abx = 1x < 1Shaded: nearer a, line excluded
The points a = −2 + i and b = 4 + i have perpendicular bisector x = 1, the red vertical line through midpoint (1,1). Every point on that line satisfies |z − a| = |z − b|. The shaded left half-plane shows |z − a| < |z − b|; the red dashed line is excluded from that strict region, though included in the separate equality locus. Both axes have equal scales. Shading is clipped to the diagram window; the bisector and half-plane extend indefinitely.

Equal distances give a perpendicular bisector

For two distinct fixed points a and b, |z − a| = |z − b| describes their perpendicular bisector. Squaring is valid because both distances are non-negative. With a = −2 + i and b = 4 + i, write (x + 2)² + (y − 1)² = (x − 4)² + (y − 1)². Cancelling gives 12x = 12, so x = 1, the vertical line through their midpoint (1,1). Every point on that line is equidistant, not just the midpoint.

For non-horizontal pairs, expansion still cancels the x² and y² terms and leaves a straight line. With a = 1 + i and b = 3 + 3i, equality gives x + y = 4. The segment between the points has gradient 1, and this bisector has gradient −1 through midpoint (2,2). If a = b, every point is equidistant; the distinct-point condition is needed for a unique bisector.

Choose a side by algebra or a test point

The strict condition |z − a| < |z − b| means z is nearer a. For a = −2 + i and b = 4 + i it gives x < 1. The bisector is excluded; the point a itself satisfies the condition because its distances are zero and six. A test point identifies the side and catches a reversed inequality. Replacing < with ≤ includes the bisector.

Combining a distance comparison with a disk condition means intersecting the two permitted regions. For |z + 2| ≤ |z − 2| and |z| ≤ 3, the first condition is x ≤ 0 and the second is a closed radius-three disk about zero. Their intersection is its left semicircular disk, including the vertical diameter and the circular boundary. Take the intersection of all conditions rather than the union of separately shaded regions.

Pause and explain

For a = −2 + i and b = 4 + i, which region is nearer a?

Put the idea to work

Worked example

For a = −2 + i and b = 4 + i, find the loci |z − a| = |z − b| and |z − a| < |z − b|.

Show the worked solution
  1. Square both non-negative distances and cancel the common y and quadratic terms.
  2. Equality reduces to x = 1, the perpendicular bisector.
  3. The inequality reduces to x < 1; testing a confirms the nearer-a side and excludes the bisector.

Answer Equality: x = 1. Nearer a: x < 1, boundary excluded.

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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

Derive the locus |z − (1 + i)| = |z − (3 + 3i)| for z = x + iy and check its midpoint and direction.

Give me a hint

Expand the squared distances and cancel x² and y².

Compare my reasoning
  1. Use (x − 1)² + (y − 1)² = (x − 3)² + (y − 3)².
  2. Simplification gives 4x + 4y = 16, so x + y = 4.
  3. It passes through midpoint (2,2) and has gradient −1, perpendicular to the gradient-one joining segment.

x + y = 4; perpendicular bisector through (2,2).

Look for these in your work

  • Derive the full line equation from distances.
  • Check its midpoint and perpendicular direction.
2 · Independent

Derive |z − (−1 + 2i)| = |z − (3 − 2i)| and the strict region nearer 3 − 2i.

Give me a hint

Use the same squared-distance difference, then test the second endpoint.

Compare my reasoning
  1. Equality is (x + 1)² + (y − 2)² = (x − 3)² + (y + 2)².
  2. Cancellation gives 8x − 8y = 8, so the bisector is x − y = 1.
  3. Nearer the second point means its squared distance is smaller, giving x − y > 1; the point (3,−2) confirms this side.

Bisector x − y = 1; nearer 3 − 2i: x − y > 1, boundary excluded.

Look for these in your work

  • Use the correct signs for both imaginary coordinates.
  • Check the nearer-point side and strict boundary.
3 · Transfer

Describe the simultaneous conditions |z + 2| ≤ |z − 2| and |z| ≤ 3, including all boundaries.

Give me a hint

Intersect the nearer-point half-plane with the disk rather than combining them by union.

Compare my reasoning
  1. Squaring the first comparison gives (x + 2)² + y² ≤ (x − 2)² + y², hence x ≤ 0.
  2. The second condition is x² + y² ≤ 9.
  3. The intersection is the left semicircular disk of radius 3; both the vertical diameter and its circular arc are included.

x ≤ 0 and x² + y² ≤ 9: left closed semicircular disk, diameter and arc included.

Look for these in your work

  • Derive the signed half-plane from the distance comparison.
  • Intersect both regions and retain their inclusive boundaries.

Common mistakes

  • Equidistance from distinct points defines the entire bisector, not only the midpoint.
  • Test a fixed endpoint to check which side is nearer it.
  • Combined conditions require intersection and separate boundary checks.
Recall without your notes

What can you explain now?

If the fixed points a and b coincide, what is |z − a| = |z − b|?

Compare with the explanation

Every point of the plane.

The two distances are identical for every z; there is no unique bisector.

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

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Make it stick

Derive a bisector from equal complex distances, choose the nearer-point half-plane and intersect it with any further conditions.

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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