AQA · A-Level · Mathematics

    Course version: 7357 · Version from Sept 2017

    OT2: Mathematical problem solving: Understand that many mathematical problems cannot be solved analytically, but numerical methods permit solution to a required level of accuracy.

    Many equations, like x = cos x, lack exact algebraic solutions.

      Study notes

      From the checked teaching notes for this specification point.

      The idea

      Many equations, like x = cos x, lack exact algebraic solutions. Numerical methods provide approximate roots to a required accuracy. For f(x)=0, if f(a) and f(b) have opposite signs and f is continuous, a root lies between a and b. Iterative methods like Newton-Raphson, x_{n+1} = x_n - f(x_n)/f'(x_n), can converge rapidly. However, convergence is not guaranteed; poor starting values or turning points can cause divergence. To confirm a root to a specific accuracy (e.g. 3 decimal places), do not rely solely on the difference between successive terms. Instead, check for a sign change in f(x) between the upper and lower bounds of the rounded value (e.g. +/- 0.0005). This proves the root lies within the required tolerance.

      What earns the marks

      • Recognises that some equations cannot be solved analytically and selects an appropriate numerical method.
      • Uses a sign-change argument to locate an interval containing a root, explicitly stating that the function must be continuous.
      • Applies an iterative formula, such as Newton-Raphson, correctly evaluating successive approximations.
      • Verifies the final approximation to the required accuracy by checking for a sign change between the appropriate upper and lower bounds.
      • Interprets the limitations of numerical methods, identifying cases where iteration may fail to converge.

      Common mistakes and how to put them right

      • Assuming successive approximations being close guarantees the required accuracy.

        Put it right: Verify the accuracy by checking for a sign change between the upper and lower bounds of the rounded value.

      • Applying Newton-Raphson without checking the derivative.

        Put it right: Ensure the initial guess is not at or near a stationary point, as f'(x_n) = 0 causes the method to fail.

      • Forgetting to state the continuity condition when using the sign-change rule.

        Put it right: Explicitly state that f(x) is continuous on the interval [a, b] when concluding a root exists.

      Exam tips

      • When asked to show a root is accurate to a given number of decimal places, always evaluate the function at the half-unit bounds above and below the value.
      • Write down all intermediate iterative values to at least one more decimal place than the final required accuracy to avoid premature rounding errors.

      Try the lesson

      The start of the OT2: Mathematical problem solving: Understand that many mathematical problems cannot be solved analytically, but numerical methods permit solution to a required level of accuracy. lesson, made from checked teaching notes for this specification point.

      Have a go first

      The equation x⁵ + x = 3 has a solution between 1 and 2. Which statement best describes how this solution can be found?

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