FP3 June 2011 Q7
7. The matrix \(\mathbf{M}\) is given by \[\mathbf{M} = \begin{pmatrix} k & -1 & 1 \\ 1 & 0 & -1 \\ 3 & -2 & 1 \end{pmatrix}, \qquad k \neq 1\]
The straight line \(l_1\) is mapped onto the straight line \(l_2\) by the transformation represented by the matrix \(\begin{pmatrix} 2 & -1 & 1 \\ 1 & 0 & -1 \\ 3 & -2 & 1 \end{pmatrix}\).
The equation of \(l_2\) is \((\mathbf{r} - \mathbf{a}) \times \mathbf{b} = 0\), where \(\mathbf{a} = 4\mathbf{i} + \mathbf{j} + 7\mathbf{k}\) and \(\mathbf{b} = 4\mathbf{i} + \mathbf{j} + 3\mathbf{k}\).
| Scheme | Marks |
|---|---|
| \(\det\mathbf{M} = k(0 - 2) + 1(1 + 3) + 1(-2 - 0) = -2k + 4 - 2 = 2 - 2k\) | M1 A1 |
| (2) |
Notes
M1 Finding determinant at least one component correct.
A1 CAO
| Scheme | Marks |
|---|---|
| \(\mathbf{M}^{T} = \begin{pmatrix} k & 1 & 3 \\ -1 & 0 & -2 \\ 1 & -1 & 1 \end{pmatrix}\) so cofactors \(= \begin{pmatrix} -2 & -1 & 1 \\ -4 & k - 3 & k + 1 \\ -2 & 2k - 3 & 1 \end{pmatrix}\) | M1 |
| (\(-1\) A mark for each term wrong) \(\mathbf{M}^{-1} = \dfrac{1}{2 - 2k}\begin{pmatrix} -2 & -1 & 1 \\ -4 & k - 3 & k + 1 \\ -2 & 2k - 3 & 1 \end{pmatrix}\) | M1 A3 |
| (5) |
Notes
1M1 Finding matrix of cofactors or its transpose
2M1 Finding inverse matrix, 1/(det) cofactors + transpose
1A1 At least seven terms correct (so at most 2 incorrect) condone missing det
2A1 At least eight terms correct (so at most 1 incorrect) condone missing det
3A1 All nine terms correct, condone missing det
| Scheme | Marks |
|---|---|
| Let \((x, y, z)\) be on \(l_1\). Equation of \(l_2\) can be written as \(\begin{pmatrix} x' \\ y' \\ z' \end{pmatrix} = \begin{pmatrix} 4 \\ 1 \\ 7 \end{pmatrix} + \lambda\begin{pmatrix} 4 \\ 1 \\ 3 \end{pmatrix}\). | B1 |
| Use \(\begin{pmatrix} x \\ y \\ z \end{pmatrix} = \mathbf{M}^{-1}\begin{pmatrix} x' \\ y' \\ z' \end{pmatrix}\) with \(k = 2\). i.e. \(\begin{pmatrix} x \\ y \\ z \end{pmatrix} = \dfrac{1}{-2}\begin{pmatrix} -2 & -1 & 1 \\ -4 & -1 & 3 \\ -2 & 1 & 1 \end{pmatrix}\begin{pmatrix} 4 + 4\lambda \\ 1 + \lambda \\ 7 + 3\lambda \end{pmatrix}\) | M1 |
| \(\therefore \begin{pmatrix} x \\ y \\ z \end{pmatrix} = \begin{pmatrix} 3\lambda + 1 \\ 4\lambda - 2 \\ 2\lambda \end{pmatrix}\) | M1 A1 |
| and so \((\mathbf{r} - \mathbf{a}) \times \mathbf{b} = \mathbf{0}\) where \(\mathbf{a} = \mathbf{i} - 2\mathbf{j}\) and \(\mathbf{b} = 3\mathbf{i} + 4\mathbf{j} + 2\mathbf{k}\) or equivalent or \(\mathbf{r} = \mathbf{a} + \lambda\mathbf{b}\) where \(\mathbf{a} = \mathbf{i} - 2\mathbf{j}\) and \(\mathbf{b} = 3\mathbf{i} + 4\mathbf{j} + 2\mathbf{k}\) or equivalent | B1ft |
| (5) | |
| (12 marks) |
Notes
1B1 Equation of \(l_2\)
1M1 Using inverse transformation matrix correctly
2M1 Finding general point in terms of \(\lambda\).
A1 CAO for general point in terms of one parameter
2B1 ft for vector equation of their \(l_1\)