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1.15 Eigenvalues and eigenvectorsIB Maths: Applications and Interpretation HL: Flashcards

What these 13 flashcards ask

  • What equation defines an eigenvalue \lambda and eigenvector \mathbf{v}?
  • How do you find the eigenvalues of M?
  • What is the characteristic equation of a 2\times2 matrix?
  • What is the trace of \begin{pmatrix}a&b\\ c&d\end{pmatrix}?
  • How do you find an eigenvector for a known \lambda?
  • Is \mathbf{0} an eigenvector?
  • What is the diagonalisation of M?
  • What must be true of the eigenvalues for diagonalisation here?
  • What is M^n in terms of P and D?
  • What is D^n for D=\begin{pmatrix}\lambda1&0\\ 0&\lambda2\end{pmatrix}?
  • What are the eigenvalues of M^n?
  • What does an eigenvalue of 1 mean in a population model?
  • In \mathbf{x}n=c1\lambda1^n\mathbf{v}1+c2\lambda2^n\mathbf{v}2, what controls the long-term behaviour?

Exam questions on 1.15 Eigenvalues and eigenvectors

  1. M=(4123)M=\begin{pmatrix}4&1\\ 2&3\end{pmatrix}.
    Find an eigenvector of MM corresponding to the eigenvalue 22.2 marks
  2. M=(1230)M=\begin{pmatrix}1&2\\ 3&0\end{pmatrix}.
    Write down the eigenvalues of M5M^5.2 marks
  3. The populations, in thousands, of two towns AA and BB in year nn are ana_n and bnb_n. Each year 20% of the people in town AA move to town BB and 10% of the people in town BB move to town AA. Nobody else moves, so (an+1bn+1)=M(anbn)\begin{pmatrix}a_{n+1}\\ b_{n+1}\end{pmatrix}=M\begin{pmatrix}a_n\\ b_n\end{pmatrix} with M=(0.80.10.20.9)M=\begin{pmatrix}0.8&0.1\\ 0.2&0.9\end{pmatrix}.
    Show that the eigenvalues of MM are 11 and 0.70.7.3 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).