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Some unofficial solutions to Cambridge NST IA maths papers

Cramer's rule

2013 Paper 1 Question 11

12th Oct 20201st Nov 2020nstmathsupervisorLeave a comment

(a)

\left( \begin{matrix} 1 & 2 & 3 \\ 1 & -2 & 1 \\ 2 & 1 & -1  \end{matrix} \right) \left( \begin{matrix} x \\ y \\  z \end{matrix} \right)  =  \left( \begin{matrix} 14 \\ 0 \\  1 \end{matrix} \right)

(i)

In Gaussian elimination, reduce the matrix to upper triangular form, then back-substitute.

Eliminate:

\begin{aligned} R_2 &\to R_2 - R_1 \\ R_3 &\to R_3 - 2R_1\end{aligned}

\left( \begin{matrix} 1 & 2 & 3 \\ 0& -4 & -2 \\ 0 & -3 & -7  \end{matrix} \right| \left. \begin{matrix} 14 \\ -14 \\ -27 \end{matrix} \right)

R_3 \to R_3 - (-3)/(-4)R_2

\left( \begin{matrix} 1 & 2 & 3 \\ 0& -4 & -2 \\ 0 & 0 & -11/2  \end{matrix} \right| \left. \begin{matrix} 14 \\ -14 \\ -33/2 \end{matrix} \right)

Back-substitute:

R_3 \Rightarrow z = 3

R_2 \Rightarrow \begin{aligned} -4y -2(3) &= -14 \\ y &= 2 \end{aligned}

R_1 \Rightarrow \begin{aligned} x +2(2) +3(3) &= 14 \\ x &= 1 \end{aligned}

The solution is

\left( \begin{matrix} x \\ y \\  z \end{matrix} \right)  =  \left( \begin{matrix} 1 \\ 2 \\  3 \end{matrix} \right)

2013, Paper 1Cramer's rule, gaussian elimination, linear algebra, matrix inverse

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