Cogito
Linear Algebra · Chapter 7 · Lesson 2
Finding Eigenvalues
The characteristic equation, and where it comes from.
12 problems · about 25 minutes · N-VM.C.11, A-REI.B.4
Figure — use these to answer the problems
- i-hat lands on(2, 1)
- j-hat lands on(2, 3)
- Determinant4
- Eigenvalues4 and 1
Warm Up
Straightforward practice. Get the method working first.
5 problemsTrace 12 and determinant 35. What is the larger eigenvalue?
AnswerWhy must the determinant of A − λI be zero?
- It has to crush a non-zero vector, and only a singular matrix does that.
- It is a convention chosen to make the algebra tidy.
Rows [3, 0] and [0, 8]. What is the trace?
AnswerRows [3, 0] and [0, 8]. What is the larger eigenvalue?
AnswerTrace 10 and determinant 21. What is the larger eigenvalue?
Answer
Build It Up
The same ideas with more to keep track of.
3 problemsEigenvalues 6 and 2. What is the determinant?
AnswerEigenvalues 6 and 2. What is the trace?
AnswerTrace 0 and determinant 1. Are the eigenvalues real? 1 yes, 0 no.
Answer
Stretch Yourself
Mixed problems. Work out what kind of question it is before you start.
4 problemsOrder the steps for finding eigenvalues and eigenvectors.
Write 1 to 4 in the boxes to put these in order.
- Write the characteristic equation from the trace and determinant
- Solve it for the eigenvalues
- Substitute each eigenvalue back into A minus lambda I
- Solve that system for the eigenvector
A triangular matrix with diagonal 2 and 9. What is the smaller eigenvalue?
AnswerThe Trace
Rows [6, 2] and [1, 5]. What is the trace?
AnswerThe Missing One
Trace 9 and one eigenvalue is 4. What is the other?
Answer