Eigenvectors from complex eigenvalues

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SUMMARY

This discussion focuses on systematically finding eigenvectors for a 2x2 real matrix when given complex eigenvalues. The example matrix provided is [0, -1; 1, 0], which has eigenvalues i and -i. The relationship between the eigenvector [x, y] and the eigenvalue i is established through the equation [0, -1; 1, 0][x; y] = [ix; iy], leading to the conclusion that eigenvectors can be expressed in the form [y*, 1], where y is a scalar.

PREREQUISITES
  • Understanding of eigenvalues and eigenvectors
  • Familiarity with matrix multiplication
  • Knowledge of complex numbers and their properties
  • Basic linear algebra concepts
NEXT STEPS
  • Study the process of finding eigenvalues and eigenvectors for larger matrices
  • Learn about the implications of complex eigenvalues in dynamic systems
  • Explore the geometric interpretation of eigenvectors in the complex plane
  • Investigate applications of complex eigenvalues in quantum mechanics
USEFUL FOR

Mathematicians, physics students, and anyone involved in linear algebra or systems analysis will benefit from this discussion, particularly those working with complex eigenvalues and their corresponding eigenvectors.

zfolwick
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how does one systematically find the eigenvectors of a 2x2 (or higher) Real matrix given complex eigenvalues?
 
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The same way you do it when you have real eigenvalues.
 
For example, the eigenvalues of the matrix
[tex]\begin{bmatrix}0 & -1 \\ 1 & 0 \end{bmatrix}[/tex]
are i and - i.

If < x, y> is an eigenvector corresponding to eigenvalue i then we must have
[tex]\begin{bmatrix}0 & -1 \\ 1 & 0 \end{bmatrix}\begin{bmatrix}x \\ y\end{bmatrix}= \begin{bmatrix}- y \\ x\end{bmatrix}= \begin{bmatrix} ix \\ iy\end{bmatrix}[/tex]

So we must have -y= ix and x= iy. Since 1/i= -i, those are equivalent. Any such eigenvector is of the form < x, y>= <iy, y>= y<i , 1>.
 

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