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Diagonalisation of matricesAQA A-Level Further Maths: Mind map

What this mind map covers

  • The form
  • Method
  • Powers
  • Example
  • Real eigenvalues
  • Exam tips

Exam questions on Diagonalisation of matrices

  1. The matrix M=(3124)M=\begin{pmatrix} 3 & 1 \\ 2 & 4 \end{pmatrix} has eigenvalues 22 and 55, with corresponding eigenvectors (1−1)\begin{pmatrix} 1 \\ -1 \end{pmatrix} and (12)\begin{pmatrix} 1 \\ 2 \end{pmatrix}.
    Taking U=(11−12)U=\begin{pmatrix} 1 & 1 \\ -1 & 2 \end{pmatrix}, find U−1U^{-1}.2 marks
  2. The matrix A=(2112)A=\begin{pmatrix} 2 & 1 \\ 1 & 2 \end{pmatrix} can be written as A=UDU−1A=UDU^{-1}, where U=(111−1)U=\begin{pmatrix} 1 & 1 \\ 1 & -1 \end{pmatrix} and DD is a diagonal matrix.
    Explain why A4A^4 has the same eigenvectors as AA, and state the eigenvalues of A4A^4.2 marks
  3. The matrix B=(100031013)B=\begin{pmatrix} 1 & 0 & 0 \\ 0 & 3 & 1 \\ 0 & 1 & 3 \end{pmatrix} has eigenvalues 11, 22 and 44, with corresponding eigenvectors (100)\begin{pmatrix} 1 \\ 0 \\ 0 \end{pmatrix}, (01−1)\begin{pmatrix} 0 \\ 1 \\ -1 \end{pmatrix} and (011)\begin{pmatrix} 0 \\ 1 \\ 1 \end{pmatrix}.
    Write down a matrix UU and a diagonal matrix DD such that B=UDU−1B=UDU^{-1}.3 marks
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Written by the Exaim team, led by Shaun Daswani (Head of Upper Secondary, Improve ME Institute; MSc Financial Mathematics, Imperial College London; BSc, UCL) and Jason Daswani (operational lead, Improve ME Institute; LSE).