CAIE
FP1
2011
November
Q2
5 marks
Standard +0.3
2 The position vectors of points \(A , B , C\), relative to the origin \(O\), are \(\mathbf { a } , \mathbf { b } , \mathbf { c }\), where
$$\mathbf { a } = 3 \mathbf { i } + 2 \mathbf { j } - \mathbf { k } , \quad \mathbf { b } = 4 \mathbf { i } - 3 \mathbf { j } + 2 \mathbf { k } , \quad \mathbf { c } = 3 \mathbf { i } - \mathbf { j } - \mathbf { k }$$
Find \(\mathbf { a } \times \mathbf { b }\) and deduce the area of the triangle \(O A B\).
Hence find the volume of the tetrahedron \(O A B C\), given that the volume of a tetrahedron is \(\frac { 1 } { 3 } \times\) area of base × perpendicular height.
CAIE
FP1
2011
November
Q6
8 marks
Challenging +1.2
6 Let \(I _ { n } = \int _ { 0 } ^ { 1 } x ^ { n } ( 1 - x ) ^ { \frac { 1 } { 2 } } \mathrm {~d} x\), for \(n \geqslant 0\). Show that, for \(n \geqslant 1\),
$$( 3 + 2 n ) I _ { n } = 2 n I _ { n - 1 }$$
Hence find the exact value of \(I _ { 3 }\).
CAIE
FP1
2011
November
Q7
11 marks
Standard +0.8
7 The curve \(C\) has equation \(y = \frac { x ^ { 2 } + p x + 1 } { x - 2 }\), where \(p\) is a constant. Given that \(C\) has two asymptotes, find the equation of each asymptote.
Find the set of values of \(p\) for which \(C\) has two distinct turning points.
Sketch \(C\) in the case \(p = - 1\). Your sketch should indicate the coordinates of any intersections with the axes, but need not show the coordinates of any turning points.
CAIE
FP1
2011
November
Q8
11 marks
Standard +0.3
8 The vector \(\mathbf { e }\) is an eigenvector of the matrix \(\mathbf { A }\), with corresponding eigenvalue \(\lambda\), and is also an eigenvector of the matrix \(\mathbf { B }\), with corresponding eigenvalue \(\mu\). Show that \(\mathbf { e }\) is an eigenvector of the matrix \(\mathbf { A B }\) with corresponding eigenvalue \(\lambda \mu\).
State the eigenvalues of the matrix \(\mathbf { C }\), where
$$\mathbf { C } = \left( \begin{array} { r r r }
- 1 & - 1 & 3 \\
0 & 1 & 2 \\
0 & 0 & 2
\end{array} \right) ,$$
and find corresponding eigenvectors.
Show that \(\left( \begin{array} { l } 1 \\ 6 \\ 3 \end{array} \right)\) is an eigenvector of the matrix \(\mathbf { D }\), where
$$\mathbf { D } = \left( \begin{array} { r r r }
1 & - 1 & 1 \\
- 6 & - 3 & 4 \\
- 9 & - 3 & 7
\end{array} \right) ,$$
and state the corresponding eigenvalue.
Hence state an eigenvector of the matrix CD and give the corresponding eigenvalue.