How to Choose Eigenvectors for Diagonalization

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SUMMARY

When diagonalizing a matrix, the order of eigenvectors in matrix P directly influences the arrangement of eigenvalues in the resulting diagonal matrix. For eigenvalues 1, 2, and 4, the corresponding eigenvectors can be arranged in any order within P, but this will change the order of eigenvalues in the diagonal matrix. The diagonal matrix for eigenvalues 4, 2, and 1 is represented as $$ \begin{bmatrix} 4 & 0 & 0 \\ 0 & 2 & 0 \\ 0 & 0 & 1\end{bmatrix}$$. Therefore, the sequence of eigenvectors must be chosen carefully to achieve the desired arrangement of eigenvalues.

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rtw528
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This isn't really a homework question, but it is relevant to heling me finish my homework.
When you are diagonalizing a matrix, how do you know what order to put the eigenvectors in.
One of my homework problems is with the eigenvalues 1, 2, and 4.
[-1]
[1] is the matrix corresponding to the eigenvalue 1.
[1]

[1]
[0] is the matrix corresponding to the eigenvalue 2
[0]

[7]
[-4] is the matrix corresponding to the eigenvalue 4.
[1]

The answers in the back of the book give the diagonalized matrix as
[7 1 -1]
[-4 0 1]
[2 0 1]
 
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rtw528 said:
This isn't really a homework question, but it is relevant to heling me finish my homework.
When you are diagonalizing a matrix, how do you know what order to put the eigenvectors in.
One of my homework problems is with the eigenvalues 1, 2, and 4.
[-1]
[1] is the matrix corresponding to the eigenvalue 1.
[1]

[1]
[0] is the matrix corresponding to the eigenvalue 2
[0]

[7]
[-4] is the matrix corresponding to the eigenvalue 4.
[1]

The answers in the back of the book give the diagonalized matrix as
[7 1 -1]
[-4 0 1]
[2 0 1]

The matrix above is NOT the diagonal matrix - it is the matrix P, the one with the eigenvectors as columns. The order in which you put the eigenvectors doesn't matter except that it affects how the eigenvalues will appear in the diagonal matrix.

For your example, the columns in P correspond to the eigenvalues 4, 2, and 1, respectively. The diagonal matrix will be
$$ \begin{bmatrix} 4 & 0 & 0 \\ 0 & 2 & 0 \\ 0 & 0 & 1\end{bmatrix}$$
 
If the eigenvalues are [itex]\lambda_1[/itex] with eigenvector [itex]v_1[/itex], [itex]\lambda_2[/itex] with eigenvector [itex]v_2[/itex], and [itex]\lambda_3[/itex] with eigenvector [itex]v_3[/itex], then the order in which you use the vectors as columns in matrix "P" will determine the order of the eigenvalues in the diagonal matrix.

That is, if P have columns [itex]v_1[/itex], [itex]v_2[/itex], [itex]v_3[/itex], in that order, then the diagonal matrix will be
[tex]\begin{bmatrix}\lambda_1 & 0 & 0 \\ 0 & \lambda_2 & 0 \\ 0 & 0 & \lambda_3\end{bmatrix}[/tex]
changing the columns in P changes the order in the diagonal matrix.

For example, if P have columns [itex]v_2[/itex], [itex]v_1[/itex], [itex]v_3[/itex], in that order, then the diagonal matrix will be
[tex]\begin{bmatrix}\lambda_2 & 0 & 0 \\ 0 & \lambda_1 & 0 \\ 0 & 0 & \lambda_3\end{bmatrix}[/tex]
 

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