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How do you find roots and areas approximately when an exact answer is not available?

Locating roots by change of sign, iterative methods including the Newton-Raphson method, the trapezium rule for numerical integration, and the conditions under which these methods fail.

A focused answer to the Edexcel A-Level Mathematics numerical methods content, covering locating roots by change of sign, iterative methods, the Newton-Raphson method, the trapezium rule for numerical integration, and when these methods fail.

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  1. What this dot point is asking
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What this dot point is asking

Edexcel wants you to locate roots of an equation by showing a change of sign, use iterative formulae of the form xn+1=g(xn)x_{n+1} = g(x_n), apply the Newton-Raphson method, estimate definite integrals using the trapezium rule, and explain when each method fails.

The answer

Change of sign

Iteration

An equation rearranged into the form x=g(x)x = g(x) gives an iteration xn+1=g(xn)x_{n+1} = g(x_n). Starting from a sensible estimate, repeated application converges to a root when the iteration is suitable, often shown as a staircase or cobweb diagram. The same equation can usually be rearranged into x=g(x)x = g(x) in several ways, and only some of them converge: convergence happens when the gradient of gg near the root has magnitude less than 11. A staircase diagram appears when the iterates approach the root from one side, and a cobweb diagram when they alternate either side as they close in. To show a root is correct to a given number of decimal places, evaluate ff at the two ends of the rounding interval and check for a sign change.

The Newton-Raphson method

The trapezium rule

The rule approximates the area under the curve by a row of trapezia, so it is exact only when the curve is a straight line. For a curve that bends upward (concave up) the trapezia lie above the curve, so the rule overestimates the area; for a curve that bends downward it underestimates. Using more strips makes each trapezium hug the curve more closely and reduces the error.

Examples in context

Try this

Q1. Show that f(x)=x3x1f(x) = x^3 - x - 1 has a root between 11 and 22. [2 marks]

  • Cue. f(1)=1f(1) = -1 and f(2)=5f(2) = 5 have opposite signs, so a root lies between them.

Q2. Use the trapezium rule with two strips to estimate 02x2dx\int_0^2 x^2\,dx. [3 marks]

  • Cue. Ordinates 0,1,40, 1, 4 with h=1h = 1: 12(0+4+2(1))=3\tfrac{1}{2}(0 + 4 + 2(1)) = 3.

Exam-style practice questions

Practice questions written in the style of Pearson Edexcel exam questions on this dot point, with worked answer explainers. The year tag is the paper they imitate, not the source.

Edexcel 20195 marksf(x)=x3+2x5f(x) = x^3 + 2x - 5. Show that f(x)=0f(x) = 0 has a root α\alpha in the interval [1,2][1, 2], and use the iteration xn+1=52xn3x_{n+1} = \sqrt[3]{5 - 2x_n} with x0=1.3x_0 = 1.3 to find x1x_1 and x2x_2 to four decimal places.
Show worked answer →

Evaluate at the ends (M1): f(1)=1+25=2f(1) = 1 + 2 - 5 = -2 and f(2)=8+45=7f(2) = 8 + 4 - 5 = 7. Since f(1)<0f(1) < 0 and f(2)>0f(2) > 0 and ff is continuous, a root lies in [1,2][1, 2] (A1).

Apply the iteration (M1): x1=52(1.3)3=2.431.3389x_1 = \sqrt[3]{5 - 2(1.3)} = \sqrt[3]{2.4} \approx 1.3389 (A1).

x2=52(1.3389)3=2.322231.3243x_2 = \sqrt[3]{5 - 2(1.3389)} = \sqrt[3]{2.3222} \approx 1.3243 (A1).

Markers reward the sign-change argument with continuity stated, and the two iterates to four decimal places.

Edexcel 20225 marksUse the trapezium rule with four strips to estimate 021+x2dx\int_0^2 \sqrt{1 + x^2}\,dx, giving your answer to three decimal places.
Show worked answer →

With four strips on [0,2][0, 2], h=204=0.5h = \dfrac{2 - 0}{4} = 0.5 and the ordinates are at x=0,0.5,1,1.5,2x = 0, 0.5, 1, 1.5, 2 (M1).

Compute y=1+x2y = \sqrt{1 + x^2}: y0=1y_0 = 1, y1=1.251.1180y_1 = \sqrt{1.25} \approx 1.1180, y2=21.4142y_2 = \sqrt{2} \approx 1.4142, y3=3.251.8028y_3 = \sqrt{3.25} \approx 1.8028, y4=52.2361y_4 = \sqrt{5} \approx 2.2361 (A1).

Apply the rule (M1): 0.52[y0+y4+2(y1+y2+y3)]=0.25[3.2361+2(4.3350)]\int \approx \dfrac{0.5}{2}\big[y_0 + y_4 + 2(y_1 + y_2 + y_3)\big] = 0.25\big[3.2361 + 2(4.3350)\big] (A1).

=0.25[3.2361+8.6700]=0.25×11.90612.977= 0.25[3.2361 + 8.6700] = 0.25 \times 11.9061 \approx 2.977 (A1).

Markers reward the strip width, correct ordinates, the bracket structure with only the interior ordinates doubled, and the final value.

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