Practice question · Put in order
Order the diagonalisation procedure.
- Find eigenvalues: solve
- Form from eigenvector columns
- Find eigenvectors: solve
- Verify
- Form with eigenvalues on diagonal
Hints
- The eigenvalues must be found before their directions.
- The decomposition is assembled last.
Show the answer
- Find eigenvalues: solve
- Find eigenvectors: solve
- Form from eigenvector columns
- Form with eigenvalues on diagonal
- Verify
Why
Eigenvalues first (characteristic equation), then eigenvectors (null space), then assemble the decomposition.
Practise Matrix Diagonalisation
The app has 7 more questions on this lesson, and keeps your place in the course. Business I is free to start.
More questions on Matrix Diagonalisation
- Diagonalisation writes A as PDP⁻¹. What is the change-of-basis story that makes A¹⁰⁰ = PD¹⁰⁰P⁻¹ obvious?
- A 2x2 matrix has eigenvalues λ1 = 3 and λ2 = 5. What is det(A)?
- Sort: which properties guarantee diagonalisability, and which do not?
- In the decomposition A = PDP⁻¹, the columns of P are the eigenvectors of A.
- After 10 periods, a Markov component with λ = 0.5 has magnitude 0.5¹⁰. Estimate this value (in thousandths).
- Diagonalising A = PDP⁻¹ makes Aⁿ easy because Dⁿ raises the diagonal entries to the nth power. Why does that…