Finding Eigenvectors for a Matrix A

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SUMMARY

The discussion focuses on finding eigenvectors for the matrix A defined as [1 3 0; 3 1 0; 0 0 -2]. The eigenvalues identified are -4, 2, and 2. The user initially encountered issues obtaining non-trivial solutions for the eigenvectors, indicating linear independence. After further analysis and suggestions from peers, the user successfully resolved the issue and expressed gratitude for the assistance.

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  • Understanding of eigenvalues and eigenvectors
  • Familiarity with matrix operations and row-reduced echelon form (RREF)
  • Knowledge of characteristic polynomials
  • Basic linear algebra concepts
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  • Learn about the significance of linear independence in eigenvector solutions
  • Explore the application of characteristic polynomials in matrix analysis
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Homework Statement


a matrix A:
[1 3 0
3 1 0
0 0 -2]

Find Q and D where

QTAQ=D

The Attempt at a Solution



I found the eigenvalues of -4,2,2

When I plug them back in and rref the matrix I only get the trivial solution meaning the matrices are linearly independent. How do I get the eigenvectors if that's the case?
 
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Check your eigenvalues.
 


[L-1 -3 0
-3 L-1 0
0 0 L+2]

(L+2)((L-1)^2 - 9)
(L+2)(L^2 -2L +1 -9)
(L+2)(L^2 -2L -8)
(L^3 -2L^2 -8L +2L^2 -4L -16)
L^3 -12L -16
...
meh, got it nevermind. Thanks for the suggestion.
 

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