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

In summary, the conversation revolved around the topic of finding the characteristic equation, eigenvalues, and eigenvectors of a system of linear equations. The original problem posed a system of equations and asked to find the characteristic equation, but it was clarified that the instructor actually wanted the eigenvalues of the system. This was determined to be a misguided question as the characteristic polynomial is only defined for a square matrix, not a system of linear equations.
  • #1
eurekameh
210
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?
 
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  • #2
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:
  • #3
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.
 
  • #4
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]?
 
  • #5
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?
 
  • #6
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?
 
  • #7
Consider the following system of equations:
...
...
...
a) Calculate the characteristic equation of the system.
b) Find all the eigenvalue and eigenvectors.
 
  • #8
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".
 
  • #9
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.
 

1. What are eigenvalues and eigenvectors?

Eigenvalues and eigenvectors are concepts in linear algebra that are used to study linear transformations. Eigenvalues are the scalars that represent the amount by which an eigenvector is scaled when the transformation is applied to it. Eigenvectors are the non-zero vectors that remain on the same line or plane as the original vector after the transformation is applied.

2. How are eigenvalues and eigenvectors calculated?

Eigenvalues and eigenvectors can be calculated by finding the solutions to the characteristic equation of a linear transformation, which is det(A-λI)=0, where A is the transformation matrix and λ is the eigenvalue. The corresponding eigenvectors can then be found by solving the system of equations (A-λI)x=0.

3. What is the significance of eigenvalues and eigenvectors?

Eigenvalues and eigenvectors are important in many fields of science and mathematics, as they provide insight into the behavior and properties of linear transformations. They are used in applications such as image recognition, quantum mechanics, and data analysis.

4. How can eigenvalues and eigenvectors be used to solve systems of equations?

Eigenvalues and eigenvectors can be used to diagonalize a matrix, which simplifies the process of solving systems of equations. By finding the eigenvalues and eigenvectors of a matrix, it can be transformed into a diagonal matrix, making it easier to solve for the variables in the system.

5. Is it possible for a matrix to have complex eigenvalues and eigenvectors?

Yes, it is possible for a matrix to have complex eigenvalues and eigenvectors. This can occur when the matrix has complex components or when it represents a transformation in a complex vector space. In these cases, the eigenvalues and eigenvectors will also be complex numbers.

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