Learn in your language
Skip to content
A Level · Cambridge (CIE) · 9709

Connect arithmetic and geometric progressions in one problem

Use three-term conditions, retain possible ratio signs and choose separate formulae when a problem combines different progressions.

Pure Mathematics 1 · Series · 1.6

Pure Mathematics 1 (Paper 1) · AS & A Level Mathematics 9709, 2026–2027. Use positive-integer binomial powers and positive-integer term indices. Written practice is self-checked.

Before you begin

  • Use AP and GP nth terms and finite sums.
  • Solve quadratic equations and apply a supplied positivity condition.

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

Quick readiness check

Which relation is required for consecutive AP terms a, b, c?

What you will learn

  • Use the three-term AP and GP conditions with appropriate restrictions.
  • Solve linked progression problems and compare totals using each sequence's own rule.
Add a difference · Multiply a ratioAP: common difference +231st+252nd+273rd+294thSum of first 4 terms: 24GP: common ratio ×231st×262nd×2123rd×2244thSum of first 4 terms: 45
The arithmetic progression 3, 5, 7, 9 adds 2 between consecutive terms and totals 24 over these four terms. The geometric progression 3, 6, 12, 24 multiplies by 2 between consecutive terms and totals 45 over its first four terms. Both start at 3; their subsequent values and sum rules differ. The circles are ordered terms, and the arrows show each progression's operation.

Translate three terms into a relation

Three consecutive AP terms a, b, c satisfy b − a = c − b, equivalently 2b = a + c. For non-zero consecutive GP terms, b/a = c/b, equivalently b² = ac. Check the original differences or ratios after solving. The squared relation alone needs care with zeros: 0, 0, 5 satisfies b² = ac but cannot be generated by a constant ratio from its first zero term.

If x, x + 3 and 2x + 6 are positive consecutive GP terms, (x + 3)² = x(2x + 6) gives x² = 9. The candidates are x = ±3; positivity selects x = 3 and terms 3, 6, 12 with ratio 2. Without the stated positivity condition, the candidate x = −3 yields −3, 0, 0, which is a GP under the ratio-zero recurrence and must be assessed rather than discarded automatically.

Do not carry one progression's rule into another

The AP 3, 5, 7, 9, … adds 2 each time and has first-four sum 24. The GP 3, 6, 12, 24, … multiplies by 2 and has first-four sum 45. Both start at 3, but their nth terms and total formulae differ. Constant non-zero progressions can be both APs with d = 0 and GPs with r = 1; labels depend on the defining relation, not on whether values happen to increase.

Indexed GP information can leave two ratio signs. If u₂ = 6 and u₄ = 24, then r² = 4, so r = 2 or −2. Recovering a = 6/r gives (a, r) = (3, 2) or (−3, −2). Both match the supplied positive even-indexed terms; they have different odd-indexed terms and different totals. Retain both unless another condition selects one.

Pause and explain

If a GP has u₂ = 6 and u₄ = 24, which ratios are possible?

Put the idea to work

Worked example

Positive numbers x, x + 3 and 2x + 6 are consecutive GP terms. Find x and the common ratio.

Show the worked solution
  1. Use (x + 3)² = x(2x + 6), giving x² + 6x + 9 = 2x² + 6x.
  2. Thus x² = 9, with candidates x = 3 and −3; the requirement that all terms are positive selects x = 3.
  3. The terms are 3, 6, 12, and both consecutive ratios are 2.

Answer x = 3; terms 3, 6, 12; ratio 2.

Try a topic test

Choose Easy, Normal or Difficult. Save your answers and open worked review after finishing.

Test this topic →

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 k such that 2, k + 1 and 3k − 2 are consecutive AP terms.

Give me a hint

Set twice the middle term equal to the sum of its neighbours.

Compare my reasoning
  1. Write 2(k + 1) = 2 + (3k − 2).
  2. This gives 2k + 2 = 3k, hence k = 2.
  3. The terms become 2, 3, 4, with equal differences 1, confirming the condition.

k = 2; terms 2, 3, 4; common difference 1.

Look for these in your work

  • Translate the AP condition into an equation.
  • Verify both original consecutive differences.
2 · Independent

A GP has u₂ = 6 and u₄ = 24. Find all (a, r) pairs and their respective S₅ values.

Give me a hint

Solve for both ratio signs before finding the first term and sum.

Compare my reasoning
  1. r² = 24/6 = 4, so r = 2 or −2; a = 6/r gives 3 or −3 respectively.
  2. For (3, 2), S₅ = 3(2⁵ − 1)/(2 − 1) = 93.
  3. For (−3, −2), the terms −3, 6, −12, 24, −48 total −33; both pairs match the given indexed terms.

(a, r) = (3, 2) gives S₅ = 93; (−3, −2) gives S₅ = −33.

Look for these in your work

  • Retain both ratio signs from the even power.
  • Compute and verify the total for each candidate progression.
3 · Transfer

Two supplied four-week practice-time models are A: 20, 25, 30, 35 minutes and B: 10, 20, 40, 80 minutes. Identify the progressions and compare their four-week totals.

Give me a hint

Use a constant difference for A and a constant ratio for B; compare total time over the same four weeks.

Compare my reasoning
  1. A is an AP with a = 20 and d = 5, so S₄ = 4(20 + 35)/2 = 110 minutes.
  2. B is a GP with a = 10 and r = 2, so S₄ = 10(2⁴ − 1)/(2 − 1) = 150 minutes.
  3. B's supplied model totals 40 minutes more. These are time totals, not evidence of relative learning outcomes or a justification for extending either model indefinitely.

A: AP, 110 min; B: GP, 150 min; B totals 40 min more.

Look for these in your work

  • Recognise each progression from its own consecutive relation.
  • Compare sums over the same indexed interval with appropriate units.

Common mistakes

  • Check the original progression condition, especially when some terms are zero.
  • Positive indexed observations do not necessarily force a positive ratio.
  • Use a separate rule and sum formula for every progression in a combined problem.
Recall without your notes

What can you explain now?

Find all real p such that 3, p, 27 are consecutive GP terms.

Compare with the explanation

p = 9 or −9, with ratios 3 or −3 respectively.

The squared relation p² = 81 gives both signs; each yields equal consecutive non-zero ratios.

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

Your review choice appears on Today. Sign in to sync it across devices.

Make it stick

Explain when 2b = a + c or b² = ac is useful, then give a progression problem with two valid ratio signs and describe the extra condition that would select one.

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.

StudyForA · Learn with understanding

Original teaching content and links to official sources. Check your exam year and qualification before using a resource.