Learn How to Find Eigenvalues of 3x3 Matrices | Eigenvalue Algorithm Explained

  • Thread starter Thread starter sciencegirl1
  • Start date Start date
  • Tags Tags
    Eigenvalues
Click For Summary

Homework Help Overview

The discussion revolves around finding the eigenvalues of a 3x3 matrix, specifically addressing the confusion surrounding the characteristic polynomial and the calculation process. Participants explore the mathematical principles involved in determining eigenvalues and the related equations.

Discussion Character

  • Exploratory, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss the characteristic equation and the process of calculating the determinant of the matrix minus lambda times the identity matrix. There are questions about the correctness of the polynomial derived from the determinant and the methods for solving it.

Discussion Status

Some participants have provided guidance on the steps to take, including polynomial long division and checking calculations for errors. There is an ongoing exploration of the characteristic polynomial and its factors, with no clear consensus on the correct approach yet.

Contextual Notes

There is mention of potential miscalculations in the determinant process, and some participants express uncertainty about the rules for solving cubic equations. The discussion reflects a learning environment where assumptions and methods are being questioned and clarified.

sciencegirl1
Messages
30
Reaction score
0

Homework Statement



find the eigenvalues of 3x3 matrix:

I have to learn how to find eigenvalues of 3x3 matrix

and this is the link, am I not supposed to do lamda-1 instead of 1-lamda like here?
http://en.wikipedia.org/wiki/Eigenvalue_algorithm
(the chapter name is "Eigenvalues of 3×3 matrices")


is there any simpler rule?
 
Physics news on Phys.org
Sadly, no simple rules.

For eigenvalues, you're solving the following equation for [itex]\lambda[/itex].
A[itex]\lambda[/itex] = [itex]\lambda[/itex]x
or equivalently,
(A - [itex]\lambda[/itex]I)x = 0

For the equation above to be true for arbitrary x (which turn out to be the eigenvectors),
(A - [itex]\lambda[/itex]I) has to be singular, which means that its determinant must be zero.
 
A= ( -1 -2 -2;
1 2 1;
-1 -1 0)

this is the matrix

I don´t understand how to get the eigenvalues which are supposed to be -1 1 1
because when I calculate it with the wikipedia rule I get -lamda^3+lamda^2-3lamda+1 and that does not make sense to me.
 
You're taking the determinant of A - [itex]\lambda[/itex]I and setting it to zero, so you'll have a cubic polynomial in [itex]\lambda[/itex] that is equal to zero.
You need to solve for [itex]\lambda[/itex] in that polynomial.
 
What do you mean? :confused:
 
Which part of what I said don't you understand?
 
so you'll have a cubic polynomial in LaTeX Code: \\lambda that is equal to zero.
You need to solve for LaTeX Code: \\lambda in that polynomial.

can you show me?
 
Here's the equation you need to solve:
[tex]-\lambda^3+\lambda^2-3\lambda+1 = 0[/tex]

I haven't checked your work, so it's possible that this isn't the right equation.

If ([itex]\lambda - a[/itex]) is a factor, a has to be a divisor of 1, which severely limits the possibilities for a. By divisor, I mean a has to go into 1 a whole number of times.

Use polynomial long division to work this out. Once you get one factor, you'll be left with a quadratic in lambda, which should be pretty easy to factor or use the quadratic formula on.
 
thanks for your help
i just don´t know how to solve it :( I´be been trying but is there any rule for solving equations like this or...?
 
  • #10
Let me say it again.
Use polynomial long division to work this out. Once you get one factor, you'll be left with a quadratic in lambda, which should be pretty easy to factor or use the quadratic formula on.
Didn't you learn about polynomial long division back when you took elementary or intermediate algebra?
 
  • #11
sciencegirl1 said:
A= ( -1 -2 -2;
1 2 1;
-1 -1 0)

this is the matrix

I don´t understand how to get the eigenvalues which are supposed to be -1 1 1
because when I calculate it with the wikipedia rule I get -lamda^3+lamda^2-3lamda+1 and that does not make sense to me.

It may be worth looking at your determinant calculation again as well, very easy to make a miscalulation in those steps.

if you know the eigenvalues are -1, 1, 1 the you should be able to factorise the determinant in term of these... so try subsitituting 1 or -1 into
[tex]-\lambda^3+\lambda^2-3\lambda+1=0[/tex]
ie
[tex]-(1)^3+(1)^2-3.(1)+1=-2\neq 0[/tex]
which makes me think something may have gone wrong in the det calc

and then
[tex]-\lambda^3+\lambda^2-3\lambda+1 \neq (\lambda-1)^2(\lambda+1)[/tex]
 
  • #12
Your matrix is
[tex]A= \begin{bmatrix} -1 & -2 & -2 \\ 1 & 2 & 1 \\ -1 & -1 & 0\end{bmatrix}[/tex]

So the characteristic equation is
[tex]|A- \lambda I|= \left|\begin{array}{ccc}-1- \lambda & -2 & -2 \\ 1 & 2- \lambda & 1 \\ -1 & -1 & -\lambda\end{array}\right|= 0[/tex]
expanding, on, say, the first row, that is
[tex](-1-\lambda)\left|\begin{array}{cc}2-\lambda 1 \\ -1 & -\lambda\end{array}\right|+ 2\left|\begin{array}{cc}1 & 1 \\ -1 & -\lambda\end{array}\right|+ 2\left|\begin{array}{cc}1 & 2-\lambda \\ -1 & -1\end{array}\right|[/tex]
[tex]= (-1-\lambda)(\lambda^2- 2\lambda+ 1)+ 2(-\lambda+ 1)-2(1-\lambda)[/tex]
[tex]= -(1+\lambda)(\lambda- 1)^2- 2(\lambda-1)+ 2(\lambda-1)[/tex]
and, in that form, it is obvious that the last two terms cancel leaving the already factored form
[tex]-(\lambda+ 1)(\lambda- 1)^2[/tex]
 
  • #13
When you are learning all this keep in mind that no-one actually solves the characteristic polynomial to find eigenvalues in real-world problems. This is mostly useful for small toy problems, or to gain understanding of the theory.

For real problems you would use something like the QR algorithm or the Arnoldi iteration.
 
  • #15
Thanks a lot everybody!
 

Similar threads

Replies
9
Views
2K
  • · Replies 10 ·
Replies
10
Views
2K
  • · Replies 19 ·
Replies
19
Views
4K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 29 ·
Replies
29
Views
4K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 5 ·
Replies
5
Views
2K
Replies
2
Views
2K
Replies
1
Views
2K
  • · Replies 17 ·
Replies
17
Views
9K