How Do You Find Eigenvectors for a 3x3 Matrix with a Known Eigenvalue?

Click For Summary
SUMMARY

The discussion focuses on finding eigenvectors for the 3x3 matrix B given by [[1, 2, 1], [-1, 2, -1], [2, -2, 3]] with a known eigenvalue of 4. Participants detail the process of calculating the determinant using the equation det(B - λI) = 0, ultimately identifying the characteristic polynomial as (λ - 1)²(λ - 4). The repeated eigenvalue of 1 indicates the presence of only one independent eigenvector corresponding to this eigenvalue, while the eigenvector for λ = 4 is straightforward to compute.

PREREQUISITES
  • Understanding of eigenvalues and eigenvectors
  • Familiarity with determinant calculations
  • Knowledge of characteristic polynomials
  • Proficiency in matrix operations
NEXT STEPS
  • Study the process of calculating eigenvalues using the characteristic polynomial
  • Learn about the geometric multiplicity of eigenvalues
  • Explore methods for finding eigenvectors from a given eigenvalue
  • Investigate the implications of repeated eigenvalues on the eigenvector space
USEFUL FOR

Students studying linear algebra, mathematicians, and anyone involved in computational mathematics or engineering requiring a solid understanding of eigenvalues and eigenvectors.

Bkkkk
Messages
11
Reaction score
0

Homework Statement


Given Matrix B:

[ 1 2 1]
[-1 2 -1]
[ 2 -2 3]


and knowing that one of the Eigenvalues is 4, find one other value and its corresponding eigenvector

Homework Equations


Bx=Lx (The basic idea behind eigenvectors)
det(B-LI)=0

The Attempt at a Solution


Ive set up the above determinant


[ 1-L 2 1]
[-1 2-L -1]
[ 2 -2 3-L]


Equal to zero, the only way I could figure how to do this question was using long division after getting the characteristic equation, but I keep getting a remainder which I shouldn't get If I am not making a huge mistake.

For the determinant I get either -L^3 + L^2 -9L +3 or -L^3 + 6L^2 -11L + 6
but I checked both using a calculator and long division and both of them give me a remainder.

I don't want the answer flat out maybe point out where I am going wrong, this problem has been bugging me for ages and I really want to know what the hell is wrong.

Thanks
 
Physics news on Phys.org
I don't get either of your polynomials. Maybe you should show your steps in calculating the determinant.
 
He this is the determinant as I set it up

(1-X){[(2-X)(3-X)]-2}-2{[(-1)(3-X)]+2}+{[(-1)(-2)]-[(2)(2-X)]}

(1-X){[6-5X+X^2-2}-2{X-1}+{2-4-2X}

(1-X){[-5X+X^2+4}-2X+2-2-2X

(1-X){-5X+X^2+4}-2X+2-2-2X

-5X+X^2+4+5X^2-X^3-4X-4X

-13X+6X^2+4-X^3

Completely different but still wrong.
 
{[(-1)(-2)]-[(2)(2-X)]} = 2 -4 -(-2x) = -2 + 2x
 
Hey!

I just tried your problem twice. The first time, I did it the way you did, by calculating the determinant, and like you, I ended up with a factor left after long division. But then, I calculated det(LI-B)=0. It'd do it this way, if I were you, because then you don't get all the -L's in there, which just means there's less chance of numerical errors when you calculate the determinants.
 
malawi_glenn said:
{[(-1)(-2)]-[(2)(2-X)]} = 2 -4 -(-2x) = -2 + 2x
Oh I hate when that happens!

SO then

The final solution is

(x-1)(x-1)(X-4)
 
Bkkkk said:
Oh I hate when that happens!

SO then

The final solution is

(x-1)(x-1)(X-4)
Well, no, the "final solution" is not a polynomial! You still need to find the eigenvalues and corresponding eigenvectors.
 
Yes, sorry I meant the polynomials solution.

So all I have to do now is put the value for lamba back into Matrix B, multiply by the column matrix, make that equal to zero and work out the values of X, Y and Z.
 
  • #10
Yes, finding the eigenvectors should be straightforward. Notice, however, that you have x=1 as a double root. There may be two independent eigenvectors corresponding to that.
 
  • #11
I would use row expansion.

I get:

(1 - r)[(2 - r)·(3 - r) - 2] - 2[(-1)·(3 - r) + 2] + [2 - 2·(2 - r)] = 0

After simplifying you get:

(4 - r)·(r - 1)^2

So one eigenvalue is 4, like you said, and the others would be 1 and 1 (repeated).

Finding the eigenvectors is straight forward from here. If you need anymore help I would be glad to go further :smile:

Good luck!
 
  • #12
Thanks everyone, I managed to get the other eigenvector, there is only one from the repeated L=1 so it was straight forward.

Thanks again.
 

Similar threads

Replies
14
Views
2K
  • · Replies 12 ·
Replies
12
Views
2K
Replies
16
Views
5K
  • · Replies 33 ·
2
Replies
33
Views
2K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 8 ·
Replies
8
Views
1K
Replies
4
Views
2K
Replies
4
Views
3K
  • · Replies 13 ·
Replies
13
Views
3K