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

AI Thread Summary
To find eigenvectors for the given 3x3 matrix B with a known eigenvalue of 4, the characteristic polynomial is derived from the determinant equation det(B - λI) = 0. The calculations led to a polynomial with roots indicating another eigenvalue of 1, which is a repeated root. The process involves substituting the eigenvalue back into the matrix and solving for the corresponding eigenvector. The discussion highlights the importance of careful calculation to avoid numerical errors and confirms that there is only one independent eigenvector associated with the repeated eigenvalue of 1. The final solution confirms the eigenvalues and provides a pathway to find the eigenvectors.
Bkkkk
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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
 
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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.
 
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