OCR MEI Further Numerical Methods 2022 June — Question 3 7 marks

Exam BoardOCR MEI
ModuleFurther Numerical Methods (Further Numerical Methods)
Year2022
SessionJune
Marks7
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicFixed Point Iteration
TypeApply iteration to find root (pure fixed point)
DifficultyStandard +0.3 This is a straightforward application of the secant method (linear interpolation) with clear spreadsheet context. Parts (a)-(c) require recognizing the formula and performing routine calculations. Parts (d)-(e) test basic understanding of rounding and scientific notation. While it involves Further Maths content, the question is highly structured with given values, requiring minimal problem-solving or insight—just careful arithmetic and standard numerical methods knowledge.
Spec1.09c Simple iterative methods: x_{n+1} = g(x_n), cobweb and staircase diagrams

3 The equation \(\mathrm { f } ( x ) = \sin ^ { - 1 } ( x ) - x + 0.1 = 0\) has a root \(\alpha\) such that \(- 1 < \alpha < 0\).
Alex uses an iterative method to find a sequence of approximations to \(\alpha\). Some of the associated spreadsheet output is shown in the table.
CDE
4\(r\)\(\mathrm { x } _ { \mathrm { r } }\)\(\mathrm { f } \left( \mathrm { x } _ { \mathrm { r } } \right)\)
50- 1- 0.4707963
61- 0.8- 0.0272952
72- 0.787691- 0.0193610
83- 0.7576546- 0.0020574
94- 0.7540834- 0.0001740
105
116
The formula in cell D7 is $$= ( \mathrm { D } 5 * \mathrm { E } 6 - \mathrm { D } 6 * \mathrm { E } 5 ) / ( \mathrm { E } 6 - \mathrm { E } 5 )$$ and equivalent formulae are in cells D8 and D9.
  1. State the method being used.
  2. Use the values in the spreadsheet to calculate \(x _ { 5 }\) and \(x _ { 6 }\), giving your answers correct to 7 decimal places.
  3. State the value of \(\alpha\) as accurately as you can, justifying the precision quoted. Alex uses a calculator to check the value in cell D9, his result is - 0.7540832686 .
  4. Explain why this is different to the value displayed in cell D9. The value displayed in cell E11 in Alex's spreadsheet is \(- 1.4629 \mathrm { E } - 09\).
  5. Write this value in standard mathematical notation.

Question 3:
AnswerMarks Guidance
3(a) Secant (method)
[1]2.2a
3(b) −0.7576546×−0.000174−(−0.7540834)×(−0.0020574)
(−0.000174−(−0.0020574))
oe
‒0.7537535
AnswerMarks
‒0.7537502M1
A1
A1
AnswerMarks
[3]1.1
1.1
AnswerMarks
1.1allow sign errors; may be implied by equivalent cell formulae
or by correct answers to 3 or more dp
allow ‒0.7537501 from working with values rounded to 7 dp
AnswerMarks Guidance
3(c) ‒0.75375 cao since the last two
approximations agree to this precision
or ‒0.753750 is possible since convergence
AnswerMarks Guidance
is faster than 1st order oeB1
[1]2.2b must see value and justification
3(d) the spreadsheet uses the numbers to a higher
precision than is displayed; the calculator
AnswerMarks Guidance
uses the displayed values oeB1
[1]2.4 B0 if answer spoiled by eg spreadsheet stores exact values
3(e) ‒1.4629×10‒9
or ‒ 0.000 000 001 462 9B1
[1]1.1
Question 3:
3 | (a) | Secant (method) | B1
[1] | 2.2a
3 | (b) | −0.7576546×−0.000174−(−0.7540834)×(−0.0020574)
(−0.000174−(−0.0020574))
oe
‒0.7537535
‒0.7537502 | M1
A1
A1
[3] | 1.1
1.1
1.1 | allow sign errors; may be implied by equivalent cell formulae
or by correct answers to 3 or more dp
allow ‒0.7537501 from working with values rounded to 7 dp
3 | (c) | ‒0.75375 cao since the last two
approximations agree to this precision
or ‒0.753750 is possible since convergence
is faster than 1st order oe | B1
[1] | 2.2b | must see value and justification
3 | (d) | the spreadsheet uses the numbers to a higher
precision than is displayed; the calculator
uses the displayed values oe | B1
[1] | 2.4 | B0 if answer spoiled by eg spreadsheet stores exact values
3 | (e) | ‒1.4629×10‒9
or ‒ 0.000 000 001 462 9 | B1
[1] | 1.1
3 The equation $\mathrm { f } ( x ) = \sin ^ { - 1 } ( x ) - x + 0.1 = 0$ has a root $\alpha$ such that $- 1 < \alpha < 0$.\\
Alex uses an iterative method to find a sequence of approximations to $\alpha$. Some of the associated spreadsheet output is shown in the table.

\begin{center}
\begin{tabular}{ | c | l | l | c | }
\hline
 & C & \multicolumn{1}{|c|}{D} & E \\
\hline
4 & $r$ & \multicolumn{1}{c|}{$\mathrm { x } _ { \mathrm { r } }$} & $\mathrm { f } \left( \mathrm { x } _ { \mathrm { r } } \right)$ \\
\hline
5 & 0 & - 1 & - 0.4707963 \\
\hline
6 & 1 & - 0.8 & - 0.0272952 \\
\hline
7 & 2 & - 0.787691 & - 0.0193610 \\
\hline
8 & 3 & - 0.7576546 & - 0.0020574 \\
\hline
9 & 4 & - 0.7540834 & - 0.0001740 \\
\hline
10 & 5 &  &  \\
\hline
11 & 6 &  &  \\
\hline
\end{tabular}
\end{center}

The formula in cell D7 is

$$= ( \mathrm { D } 5 * \mathrm { E } 6 - \mathrm { D } 6 * \mathrm { E } 5 ) / ( \mathrm { E } 6 - \mathrm { E } 5 )$$

and equivalent formulae are in cells D8 and D9.
\begin{enumerate}[label=(\alph*)]
\item State the method being used.
\item Use the values in the spreadsheet to calculate $x _ { 5 }$ and $x _ { 6 }$, giving your answers correct to 7 decimal places.
\item State the value of $\alpha$ as accurately as you can, justifying the precision quoted.

Alex uses a calculator to check the value in cell D9, his result is - 0.7540832686 .
\item Explain why this is different to the value displayed in cell D9.

The value displayed in cell E11 in Alex's spreadsheet is $- 1.4629 \mathrm { E } - 09$.
\item Write this value in standard mathematical notation.
\end{enumerate}

\hfill \mbox{\textit{OCR MEI Further Numerical Methods 2022 Q3 [7]}}