Eigenvectors of a 3x3 Matrix A: Calculation and Verification

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The discussion revolves around the calculation and verification of eigenvectors for a 3x3 matrix A, specifically addressing the eigenvalues and the corresponding eigenvectors derived from the matrix.

Discussion Character

  • Exploratory, Assumption checking, Problem interpretation

Approaches and Questions Raised

  • The original poster attempts to calculate eigenvalues and eigenvectors for the matrix A and presents their findings, while also questioning the validity of their third eigenvector. Other participants raise concerns about the correctness of the eigenvalues and the nature of the zero vector as an eigenvector.

Discussion Status

Participants are actively engaging with the calculations presented, with some questioning the eigenvalues and the interpretation of the eigenvector results. There is no explicit consensus on the correctness of the calculations, but multiple interpretations and corrections are being explored.

Contextual Notes

There is a noted discrepancy in the matrix provided by the original poster, which may affect the calculations of eigenvalues and eigenvectors. The discussion includes a reference to the theorem regarding eigenvectors and the implications of the zero vector in this context.

Mathman23
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Hi

I have this here matrix

[tex]A = \left[ \begin{array}{ccc} 2 & 1 & 0 \\ 0 & 1 & 0 \\ 3 & 3 & 0 \end{array} \right][/tex]

I calculate the eigenvalues and get (2,1,-1)

Next I calculate the eigenvectors and get (1,0,1) and (-1,1,0) and (0,0,0)

My professor says my third eigenvector is wrong and it should (0,0,1)

My calculation:


[tex]A = \left[ \begin{array}{ccc} (2-(-1) & 1 & 0 \\ 0 & (1-(-1) & 0 \\ 3 & 3 & 1-(-1) \end{array} \right]<br /> = \left[ \begin{array}{ccc} 3 & 1 & 0 \\ 0 & 2 & 0 \\ 3 & 3 & 0 \end{array} \right][/tex]

Then according to the theorem regarding eigenvectors:

[tex]\left[ \begin{array}{ccc} 3 & 1 & 0 \\ 0 & 2 & 0 \\ 3 & 3 & 0 \end{array} \right] \left[ \begin{array}{c} v_1 \\ v_2 \\ v_3 \end{array} \right] = \left[ \begin{array}{c} 0 \\ 0 \\ 0 \end{array} \right][/tex]

then

[tex]3v_1 + v_2 = 0[/tex]

[tex]2v_2 = 0[/tex]

[tex]3v_1 + 3 v_2 = 0[/tex]

Is my calculations correct ??

sincerley and best regards,

Fred
 
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First of all, the zero vector is never an eigenvector (even though it might behave like one). If x is an eigenvector "belonging" to the eigenvalue -1, then Ax = -x, or equivalently (A + I)x = 0. The right-most entry in the bottom row of this equation:

[tex]\left[ \begin{array}{ccc} 3 & 1 & 0 \\ 0 & 2 & 0 \\ 3 & 3 & 0 \end{array} \right] \left[ \begin{array}{c} v_1 \\ v_2 \\ v_3 \end{array} \right] = \left[ \begin{array}{c} 0 \\ 0 \\ 0 \end{array} \right][/tex]

is wrong, there should be a 1 there instead of a 0.
 
Last edited:
Check your eigenvalues again. I get [tex]\lambda = 0,1,2[/tex]
 
Hi and many thanks for Your answer.

I have a second question I hope You can answer for me.

Finding a matrix P which is invertible and which complies with P^-1 AP ? ?

Isn't P then span of the three eigenvector ?

Sincerley and Best Regards,

Fred

Muzza said:
First of all, the zero vector is never an eigenvector (even though it might behave like one). If x is an eigenvector "belonging" to the eigenvalue -1, then Ax = -x, or equivalently (A + I)x = 0. The right-most entry in the bottom row of this equation:

[tex]\left[ \begin{array}{ccc} 3 & 1 & 0 \\ 0 & 2 & 0 \\ 3 & 3 & 0 \end{array} \right] \left[ \begin{array}{c} v_1 \\ v_2 \\ v_3 \end{array} \right] = \left[ \begin{array}{c} 0 \\ 0 \\ 0 \end{array} \right][/tex]

is wrong, there should be a 1 there instead of a 0.
 
Corneo said:
Check your eigenvalues again. I get [tex]\lambda = 0,1,2[/tex]


Hi again

thats because I typed my matrix wrong

[tex]A = \left[ \begin{array}{ccc} 2 & 1 & 0 \\ 0 & 1 & 0 \\ 3 & 3 & -1 \end{array} \right][/tex]

Sincerley

Fred
 

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