AQA · A-Level · Mathematics

    Course version: 7357 · Version from Sept 2017

    I: Numerical methods: Solve equations approximately using simple iterative methods; be able to draw associated cobweb and staircase diagrams. Solve equations using the Newton-Raphson method and other recurrence relations of the form xn + 1 = g xn Understand how such methods can fail.

    This topic covers approximate equation solving using iteration.

      Study notes

      From the checked teaching notes for this specification point.

      The idea

      This topic covers approximate equation solving using iteration. You rearrange f(x)=0 into x=g(x) and use x_{n+1}=g(x_n). Cobweb and staircase diagrams show convergence or divergence: staircase when iterates approach a root monotonically, cobweb when they alternate. The Newton-Raphson method uses x_{n+1}=x_n - f(x_n)/f'(x_n) for faster convergence. You must understand failure: divergence when |g'(x)|>1, oscillation, or Newton-Raphson failing when f'(x_n)=0 or cycling. For example, solve x^3 - x - 1 = 0 using x_{n+1} = (x_n + 1)^{1/3} from x_0=1.5, and compare with Newton-Raphson. Diagrams help interpret convergence.

      What earns the marks

      • Rearranges an equation f(x)=0 into the iterative form x=g(x) correctly, ensuring the rearrangement is suitable for the starting value.
      • Carries out iterations accurately, showing sufficient decimal places and continuing until a required degree of accuracy is reached.
      • Sketches or describes a cobweb diagram when successive iterates alternate around the root, and a staircase diagram when they approach monotonically.
      • Applies the Newton-Raphson formula x_{n+1}=x_n - f(x_n)/f'(x_n) correctly, including differentiation and substitution.
      • Explains how an iterative method can fail, for example divergence when the derivative of g has magnitude greater than 1 near the root, or Newton-Raphson failure when f'(x)=0 or when iterates cycle.

      Common mistakes and how to put them right

      • Incorrect rearrangement leading to a divergent iteration.

        Put it right: Choose a rearrangement where |g'(x)|<1 near the root.

      • Using degrees instead of radians when differentiating trigonometric functions in Newton-Raphson.

        Put it right: Use radians in calculus.

      • Stopping iterations too early or rounding intermediate values excessively.

        Put it right: Keep full calculator precision and only round the final answer.

      • Confusing cobweb and staircase diagrams.

        Put it right: Staircase occurs when iterates move steadily towards the root; cobweb occurs when they alternate sides.

      Exam tips

      • Show the iterative formula you are using and at least three iterations, even if the answer converges quickly, to demonstrate the method.
      • When asked to justify a rearrangement, refer to the condition |g'(x)|<1 near the root or show that the iteration converges.
      • For Newton-Raphson, write down f(x) and f'(x) clearly before substituting into the formula.
      • If an iteration fails, explain why in terms of the gradient or the behaviour of the iterates, not just that it does not work.

      Try the lesson

      The start of the I: Numerical methods: Solve equations approximately using simple iterative methods; be able to draw associated cobweb and staircase diagrams. Solve equations using the Newton-Raphson method and other recurrence relations of the form xn + 1 = g xn Understand how such methods can fail. lesson, made from checked teaching notes for this specification point.

      Have a go first

      The equation x³ − x − 1 = 0 has a root near 1.3. Using the iteration xₙ₊₁ = (xₙ + 1)^(1/3) with x₁ = 1.3, work out the value of x₂, giving your answer to 3 decimal places.

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      Test your understanding of I: Numerical methods: Solve equations approximately using simple iterative methods; be able to draw associated cobweb and staircase diagrams. Solve equations using the Newton-Raphson method and other recurrence relations of the form xn + 1 = g xn Understand how such methods can fail.

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