Computing eigenvalues and eigenvectors

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SUMMARY

The discussion focuses on computing the eigenvalues and eigenvectors of the matrix [[2, -2, 3], [0, 3, -2], [0, -1, 2]]. The characteristic polynomial derived is x^3 - 7x^2 + 14x - 8, with roots 1, 2, and 4 representing the eigenvalues. The system (2I - A)x = 0 leads to a reduced row echelon form indicating that the eigenvector associated with the eigenvalue 2 can be expressed as (t, 0, 0) for any scalar t, with (1, 0, 0) being a standard representation.

PREREQUISITES
  • Understanding of eigenvalues and eigenvectors
  • Familiarity with characteristic polynomials
  • Knowledge of matrix operations, specifically row reduction
  • Basic linear algebra concepts
NEXT STEPS
  • Study the derivation of characteristic polynomials in linear algebra
  • Learn about the geometric interpretation of eigenvectors
  • Explore the application of eigenvalues in systems of differential equations
  • Investigate the use of software tools like MATLAB for eigenvalue computations
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Students and professionals in mathematics, particularly those studying linear algebra, as well as engineers and data scientists who utilize eigenvalues and eigenvectors in their work.

jinksys
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Find the characteristic polynomial, eigenvectors, and eigenvalues of the matrix.

Code:
[
2 -2 3
0 3 -2
0 -1 2
]

My characteristic poly is x^3 - 7x^2 + 14x - 8

The roots are 1, 2, and 4.

When solving the system, (2I - A)x = 0 I get:
Code:
[
0 1 0 0 
0 0 1 0 
0 0 0 0 
]

Can someone tell me how this relates to a solution?

It looks like x2 and x3 would be zero, but what about x1?
 
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This means that (t 0 0) is an eigenvector for any t. Since constant multiples of eigenvectors are also eigenvectors, typically we would say that (1 0 0) is the eigenvector (associated with the eigenvalue 2).
 
Thanks, that makes sense.
 

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