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
- .Find an eigenvector of corresponding to the eigenvalue .2 marks
- .Write down the eigenvalues of .2 marks
- The populations, in thousands, of two towns and in year are and . Each year 20% of the people in town move to town and 10% of the people in town move to town . Nobody else moves, so with .Show that the eigenvalues of are and .3 marks
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).