CAIE FP1 2017 November — Question 11 EITHER

Exam BoardCAIE
ModuleFP1 (Further Pure Mathematics 1)
Year2017
SessionNovember
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicInvariant lines and eigenvalues and vectors
TypeProve eigenvalue/eigenvector properties
DifficultyStandard +0.8 This is a multi-part Further Maths question requiring proof of eigenvalue properties, finding eigenvalues/eigenvectors of a 3×3 matrix (involving characteristic equation and solving), and applying the proven result. While systematic, the 3×3 characteristic polynomial and the synthesis in part (iii) elevate this above standard A-level, placing it moderately above average difficulty.
Spec4.03a Matrix language: terminology and notation4.03b Matrix operations: addition, multiplication, scalar4.03c Matrix multiplication: properties (associative, not commutative)4.03d Linear transformations 2D: reflection, rotation, enlargement, shear4.03e Successive transformations: matrix products4.03f Linear transformations 3D: reflections and rotations about axes4.03g Invariant points and lines4.03h Determinant 2x2: calculation4.03i Determinant: area scale factor and orientation4.03j Determinant 3x3: calculation4.03k Determinant 3x3: volume scale factor4.03l Singular/non-singular matrices4.03m det(AB) = det(A)*det(B)4.03n Inverse 2x2 matrix4.03o Inverse 3x3 matrix4.03p Inverse properties: (AB)^(-1) = B^(-1)*A^(-1)4.03q Inverse transformations

  1. 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 \(\lambda \mu\).
  2. Find the eigenvalues and corresponding eigenvectors of the matrix \(\mathbf { A }\), where $$\mathbf { A } = \left( \begin{array} { r r r } 0 & 1 & 3 \\ 3 & 2 & - 3 \\ 1 & 1 & 2 \end{array} \right) .$$
  3. The matrix \(\mathbf { B }\), where $$\mathbf { B } = \left( \begin{array} { r r r } 3 & 6 & 1 \\ 1 & - 2 & - 1 \\ 6 & 6 & - 2 \end{array} \right) ,$$ has eigenvectors \(\left( \begin{array} { r } 1 \\ - 1 \\ 0 \end{array} \right) , \left( \begin{array} { r } 1 \\ - 1 \\ 1 \end{array} \right)\) and \(\left( \begin{array} { l } 1 \\ 0 \\ 1 \end{array} \right)\). Find the eigenvalues of the matrix \(\mathbf { A B }\), and state corresponding eigenvectors.

(i) 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 $\lambda \mu$.\\

(ii) Find the eigenvalues and corresponding eigenvectors of the matrix $\mathbf { A }$, where

$$\mathbf { A } = \left( \begin{array} { r r r } 
0 & 1 & 3 \\
3 & 2 & - 3 \\
1 & 1 & 2
\end{array} \right) .$$

(iii) The matrix $\mathbf { B }$, where

$$\mathbf { B } = \left( \begin{array} { r r r } 
3 & 6 & 1 \\
1 & - 2 & - 1 \\
6 & 6 & - 2
\end{array} \right) ,$$

has eigenvectors $\left( \begin{array} { r } 1 \\ - 1 \\ 0 \end{array} \right) , \left( \begin{array} { r } 1 \\ - 1 \\ 1 \end{array} \right)$ and $\left( \begin{array} { l } 1 \\ 0 \\ 1 \end{array} \right)$. Find the eigenvalues of the matrix $\mathbf { A B }$, and state corresponding eigenvectors.\\

\hfill \mbox{\textit{CAIE FP1 2017 Q11 EITHER}}