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Use iteration to approximate a root

By UK GCSE Mathematics · independent study · myAudience

Iteration table, converging estimates and an explicit limitation on convergence.

Original myAudience mathematics teaching illustration; labels, relationships and lesson calculations independently checked. · Original project artwork; no exam-board figures or textbook illustrations reused.

Use iteration to approximate a root

Iteration repeatedly applies a rearranged equation as a rule for the next approximation. For x² − x − 2 = 0, one possible rule is xₙ₊₁ = √(xₙ + 2). Starting at x₀ = 1 gives values approaching the positive root 2.

A rearrangement and starting value can converge, diverge or approach a different solution. This square-root rule cannot produce negative outputs, so it does not find the root −1. Record enough working precision to judge whether the requested rounded answer has stabilised.

Check a candidate in the original equation and examine whether the sequence is genuinely converging. Agreement of a few rounded values is practical evidence for an approximation, not proof that every possible iteration method works.

Worked example: Use the rule xₙ₊₁ = √(xₙ + 2) from x₀ = 1 for two steps.

x₁ = √3, approximately 1.7321.

x₂ = √(√3 + 2), approximately 1.9319.

Retain unrounded values when continuing.

Answer: The first two new estimates are approximately 1.7321 and 1.9319.

Check your understanding: Will this rule find the root −1?

Answer: No.

Why: Its square-root output is nonnegative.

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