Date | May 2017 | Marks available | 1 | Reference code | 17M.2.hl.TZ0.4 |
Level | HL only | Paper | 2 | Time zone | TZ0 |
Command term | Explain | Question number | 4 | Adapted from | N/A |
Question
Consider the matrix
A \( = \left[ {\begin{array}{*{20}{c}} \lambda &3&2 \\ 2&4&\lambda \\ 3&7&3 \end{array}} \right]\).
Suppose now that \(\lambda = 1\) so consider the matrix
B \( = \left[ {\begin{array}{*{20}{c}} 1&3&2 \\ 2&4&1 \\ 3&7&3 \end{array}} \right]\).
Find an expression for det(A) in terms of \(\lambda \), simplifying your answer.
Hence show that A is singular when \(\lambda = 1\) and find the other value of \(\lambda \) for which A is singular.
Explain how it can be seen immediately that B is singular without calculating its determinant.
Determine the null space of B.
Explain briefly how your results verify the rank-nullity theorem.
Prove, using mathematical induction, that
B\(^n = {8^{n - 2}}\)B\(^2\) for \(n \in {\mathbb{Z}^ + },{\text{ }}n \geqslant 3\).
Markscheme
det(A) \( = \lambda (12 - 7\lambda ) + 3(3\lambda - 6) + 2(14 - 12)\) M1A1
\( = 12\lambda - 7{\lambda ^2} + 9\lambda - 18 + 4\)
\( = - 7{\lambda ^2} + 21\lambda - 14\) A1
[??? marks]
A is singular when \(\lambda = 1\) because the determinant is zero R1
Note: Do not award the R1 if the determinant has not been obtained.
the other value is 2 A1
[??? marks]
the third row is the sum of the first two rows A1
[??? marks]
the null space satisfies
\(\left[ {\begin{array}{*{20}{c}} 1&3&2 \\ 2&4&1 \\ 3&7&3 \end{array}} \right]\left[ {\begin{array}{*{20}{c}} x \\ y \\ z \end{array}} \right] = \left[ {\begin{array}{*{20}{c}} 0 \\ 0 \\ 0 \end{array}} \right]\) M1
\(x + 3y + 2z = 0\)
\(2x + 4y + z = 0\) (A1)
\(3x + 7y + 3z = 0\)
the solution is (by GDC or otherwise)
\(\left[ {\begin{array}{*{20}{c}} x \\ y \\ z \end{array}} \right] = \left[ {\begin{array}{*{20}{c}} 5 \\ { - 3} \\ 2 \end{array}} \right]\alpha \) where \(\alpha \in \mathbb{R}\) M1A1
[??? marks]
the rank-nullity theorem for square matrices states that
rank of matrix + dimension of null space = number of columns A1
here, rank = 2, dimension of null space = 1 and number of columns = 3 A1
[??? marks]
first show that the result is true for \(n = 3\)
B\(^2 = \left[ {\begin{array}{*{20}{c}} {13}&{29}&{11} \\ {13}&{29}&{11} \\ {26}&{58}&{22} \end{array}} \right]\) A1
B\(^3 = \left[ {\begin{array}{*{20}{c}} {104}&{232}&{88} \\ {104}&{232}&{88} \\ {208}&{464}&{176} \end{array}} \right]\) A1
therefore B\(^3 = 8\)B\(^2\) so true for \(n = 3\) R1
assume the result is true for \(n = k\), that is B\(^k = {8^{k - 2}}\)B\(^2\) M1
consider B\(^{k + 1} = {8^{k - 2}}\)B\(^2\) M1
\( = {8^{k - 2}}8\)B\(^2\)
\( = {8^{k - 1}}\)B\(^2\) A1
therefore, true for \(n = k \Rightarrow \) true for \(n = k + 1\) and since the result is true for \(n = 3\), it is true for \(n \geqslant 3\) R1
[7 marks]