Eigenvalues / Eigenvectors - Is this a legit question to ask?

Click For Summary

Discussion Overview

The discussion revolves around the concept of eigenvalues and eigenvectors in the context of a system of linear equations. Participants are trying to determine whether the given system can be analyzed for eigenvalues and eigenvectors, and how to approach the problem based on the provided equations.

Discussion Character

  • Debate/contested
  • Technical explanation
  • Conceptual clarification

Main Points Raised

  • One participant presents a system of equations and questions how to find eigenvalues when the equations do not explicitly include an eigenvalue parameter (λ).
  • Another participant clarifies that the eigenvalue problem is expressed as Ax = λx, where A is the matrix and x is the eigenvector.
  • Some participants express confusion about the absence of λ in the original equations and question the legitimacy of the problem posed.
  • There is a suggestion to rewrite the equations to fit the eigenvalue form, but uncertainty remains about the relevance of the original system to the eigenvalue problem.
  • Participants discuss the need for a characteristic equation and express doubt about the instructor's intentions regarding the problem's requirements.
  • One participant concludes that the instructor clarified the need for eigenvalues of the matrix A, suggesting that the original question may have been misleading.

Areas of Agreement / Disagreement

Participants generally disagree on the validity of the original question regarding eigenvalues and eigenvectors, with some expressing that it is misguided while others seek clarification on how to approach it. The discussion remains unresolved regarding the appropriateness of the problem as stated.

Contextual Notes

There is a lack of clarity regarding the definitions and assumptions related to the system of equations and the eigenvalue problem, particularly concerning the relationship between the system and the characteristic polynomial.

eurekameh
Messages
209
Reaction score
0
-2x + 3y + z = 0
3x + 4y -5z = 0
x -2y + z = -4

Find the characteristic equation, eigenvalues / eigenvectors of the system.
I'm given to understand the eigenvalue problem is Ax = (lamba)x, but lamba doesn't exist in the system above. How can I solve for the eigenvalues when there are none?
 
Physics news on Phys.org
In the form you have written Ax=λx:
A is your matrix
x is an eigenvector of A
λ is the corresponding eigenvalue

You need to find the characteristic equation to find λ.
 
Last edited:
I do not see any eigenvalues in the system:
-2x + 3y + z = 0
3x + 4y -5z = 0
x -2y + z = -4

The A matrix is A = [-2 3 1; 3 4 -5; 1 -2 1], with ";" denoting a new row. My eigenvector x is x = [x;y;z].
Then, we have Ax = [0;0;-4]. Where are the eigenvalues?
Note that I did not come up with the system of equations above. It was the original question, which is why I'm asking if it is a legit question to ask, seeing that there are no eigenvalues to solve for.
 
eurekameh said:
The A matrix is A = [-2 3 1; 3 4 -5; 1 -2 1], with ";" denoting a new row. My eigenvector x is x = [x;y;z].
Then, we have Ax = [0;0;-4]. Where are the eigenvalues.

What makes you think that x = [x;y;z] is an eigenvector? You have

[tex]\begin{pmatrix} -2 & 3 & 1 \\ 3 & 4 & -5 \\ 1 & -2 & 1\end{pmatrix} \begin{pmatrix} x \\ y \\ z \end{pmatrix} = \begin{pmatrix} 0 \\ 0 \\ -4\end{pmatrix}[/tex]

Does this look like an eigenvalue equation?

The first thing I would suggest you do is to try and get this in the form

[tex]\begin{pmatrix} -2 & 3 & 1 \\ 3 & 4 & -5 \\ 1 & -2 & 1\end{pmatrix} \begin{pmatrix} x - x_0\\ y -y_0 \\ z - z_0 \end{pmatrix} = \begin{pmatrix} 0 \\ 0 \\ 0\end{pmatrix}[/tex]

What must be the values of [itex]x_0[/itex], [itex]y_0[/itex] and [itex]z_0[/itex] to get it into this form?

Then, rewrite your eigenvalue equation as [itex](\mathbf{A}-\lambda\mathbf{I}_{n \times n})\mathbf{x}=\mathbf{0}[/itex] and compare it to the above. How is the characteristic equation related to [itex](\mathbf{A}-\lambda\mathbf{I}_{n \times n})\mathbf{x}[/itex]?
 
Why wouldn't x be an eigenvector? Standard form is Ax = (lambda)x. lambda = eigenvalue, x = eigenvector, no?

The thing I don't understand is that there is no lamba in any of the three equations, but it's asking me to solve for it. It's asking me to solve Ax = b, where b = [0;0;-4], which I can do, but it wants me to solve this eigenvalue problem that doesn't look like one at all.

Why are you writing your matrix equation like that? Where did x0,y0,z0 come from? Is x0=0, y0 = 0, z0 = -4?
 
eurekameh said:
Why wouldn't x be an eigenvector? Standard form is Ax = (lambda)x. lambda = eigenvalue, x = eigenvector, no?

Sure, but you don't have an equation of the form Ax = λx.

Why are you writing your matrix equation like that? Where did x0,y0,z0 come from? Is x0=0, y0 = 0, z0 = -4?

Nevermind my above suggestion, I don't think it will be useful. After thinking a bit more about the problem, I'm not sure what your instructor is looking for here. What was the exact wording on the original problem statement?
 
Consider the following system of equations:
...
...
...
a) Calculate the characteristic equation of the system.
b) Find all the eigenvalue and eigenvectors.
 
eurekameh said:
Consider the following system of equations:
...
...
...
a) Calculate the characteristic equation of the system.
b) Find all the eigenvalue and eigenvectors.

In that case, I have no idea what the instructor (or whoever posed this problem to you) is looking for. As far as I am aware, in linear algebra, the characteristic polynomial is defined only for a square matrix, not a system of linear equations. It makes no sense to me to ask for the "characteristic equation of the system".
 
That's what I thought. In class today, he clarified that he wanted the eigenvalues of the system A. So, Ax = (lambda)x. The b vector above in Ax = b is irrelevant to the problem. So it really is a misguided question. Thanks for your help.
 

Similar threads

  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 5 ·
Replies
5
Views
6K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 5 ·
Replies
5
Views
3K
Replies
5
Views
2K
  • · Replies 5 ·
Replies
5
Views
15K
  • · Replies 17 ·
Replies
17
Views
4K
  • · Replies 17 ·
Replies
17
Views
4K
  • · Replies 1 ·
Replies
1
Views
2K