Finding Eigenvectors for 4x4 Matrix A = 4 2, 0 1 | Homework Help

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Homework Help Overview

The discussion revolves around finding eigenvectors for a 4x4 matrix, specifically a matrix with eigenvalues identified as 4 and 1. Participants are exploring the implications of these eigenvalues on the corresponding eigenvectors.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • The original poster attempts to derive eigenvectors from the eigenvalues using the equation (A - lambdaI)V = 0, leading to questions about the validity of different eigenvector representations.
  • Some participants question the method of finding eigenvalues and the implications of having multiple valid eigenvector forms.
  • Others suggest reconsidering the conditions under which eigenvectors can be scaled and the significance of non-zero vectors in the context of eigenvalues.

Discussion Status

The discussion is active, with participants providing insights into the nature of eigenvectors and addressing the original poster's confusion regarding their calculations. There is recognition that multiple representations of eigenvectors are valid, and some clarification on the definitions and properties of eigenvalues and eigenvectors has been offered.

Contextual Notes

Participants are navigating through the constraints of matrix representation and the definitions of eigenvalues and eigenvectors, with some expressing uncertainty about the implications of their findings. There is also mention of limitations in formatting mathematical expressions, which may affect clarity.

Dissonance in E
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Homework Statement


I have matrix
A = 4 2
0 1

Whose eigenvalues I found to be 4 & 1

I need to find the eigenvectors for the same matrix

Homework Equations


(A-lambdaI)V=0

The Attempt at a Solution


Lambda = 4 gives
0 2 x V1 = 0
0 -3 V2

0v1 + 2v2 = 0
0v1 - 3v2 = 0

Eigenvector = 0 , 0
How does that give me any choice? Either there's some fundamental rule I am missing or my maple skills need a workout as according to maple the vector is 1, 0
which would give 1+0 = 0 ? No?

Lambda = 1 gives

3 2 x V1 = 0
0 0 V2

3v1 + 2v2 = 0
0v1 + 0 v2 = 0

eigenvector = -2, 3
Ok I get that this works, why couldn't I say that the eigenvector is 2, -3?
wouldnt this give 3(2) + 2(-3) = 0
Whats the difference?

Clarifications greatly appreciated.

P.s: Sorry for the painful format, couldn't figure out how to draw matrices with latex.
 
Last edited:
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How did you find those eigenvalues?
 
Using det(a - lambdaI) = 0
 
[tex]\lambda =4 \Rightarrow V_2=0[/tex] so [tex]V_1[/tex] can take any value, including 1.

[tex]\lambda =1 \Rightarrow 3V_1=-2V_2[/tex]. Therefore the eigenvector you suggested is just as valid as the one you found using Maple.
 
Last edited:
Donaldos said:
How did you find those eigenvalues?

Dissonance in E said:
Using det(a - lambdaI) = 0
The eigenvalues of a trianguar (or diagonal) matrix are just the numbers on the main diagonal.

Lambda = 4 gives
0 2 x V1 = 0
0 -3 V2

0v1 + 2v2 = 0
0v1 - 3v2 = 0

Eigenvector = 0 , 0
No, you only have 2v2= 0 and -3v2= 0 which are satisfied as long as v2= 0. v1 can be anything. An eigenvector for eigenvalue 4 is any vector of the form <x, 0>.

The definition of "eigenvalue" is that there exist a non-zero vector such that [itex]Av= \lambda v[/itex]
Here you must have
[tex]\begin{bmatrix}4 & 2 \\ 0 & 1\end{bmatrix}\begin{bmatrix}x \\ y\end{bmatrix}[/tex]
[tex]= \begin{bmatrix}4x+ 2y \\ y\end{bmatrix}= \begin{bmatrix}4x \\ 4y\end{bmatrix}[/tex]
which gives you the two equations 4x+ 2y= 4x and 4y= 4y. The first equation reduces to 2y= 0 which gives y= 0 and the second equation is automatically satisfied. Again, x can be anything.
 
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