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

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Homework Help Overview

The discussion revolves around finding eigenvectors for a 3x3 matrix given one known eigenvalue. The original poster presents a matrix and mentions that one eigenvalue is 4, seeking to find another eigenvalue and its corresponding eigenvector.

Discussion Character

  • Exploratory, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss the setup of the determinant for the characteristic polynomial and express confusion over the results obtained. There are attempts to clarify the calculation steps and suggestions to use different methods for finding the determinant. Some participants question the correctness of the polynomials derived from the determinant calculations.

Discussion Status

The discussion includes various attempts to calculate the determinant and derive the characteristic polynomial. Some participants have offered alternative methods and insights into potential errors in the calculations. There is acknowledgment of the eigenvalue 4 and the repeated eigenvalue 1, with indications that finding the corresponding eigenvectors should be straightforward.

Contextual Notes

Participants are working under the constraints of homework rules, which may limit the extent of guidance provided. There is an emphasis on understanding the calculations rather than simply obtaining the final answers.

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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