Find the eigenvalues A, < A2 < Ag and associated unit eigenvectors ū1, üz, üz of the symmetric matrix Го 9 A = 0 -6 0 9. 0. The eigenvalue A, has associated unit eigenvector u The eigenvalue A, = has associated unit eigenvector üz The eigenvalue A3 has associated unit eigenvector ūz Note: The eigenvectors above form an orthonormal eigenbasis for A.

Advanced Engineering Mathematics
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Chapter2: Second-order Linear Odes
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Find the eigenvalues \(\lambda_1 < \lambda_2 < \lambda_3\) and associated unit eigenvectors \(\vec{u}_1, \vec{u}_2, \vec{u}_3\) of the symmetric matrix 

\[
A = \begin{bmatrix} 
0 & 0 & 9 \\ 
0 & -6 & 0 \\ 
9 & 0 & 0 
\end{bmatrix}.
\]

**The eigenvalue \(\lambda_1 =\)** \(\_\_\_\_\_\_\_\) has associated unit eigenvector \(\vec{u}_1 =\) 
\[
\begin{bmatrix} 
\_\_\_\_ \\ 
\_\_\_\_ \\ 
\_\_\_\_ 
\end{bmatrix}.
\]

**The eigenvalue \(\lambda_2 =\)** \(\_\_\_\_\_\_\_\) has associated unit eigenvector \(\vec{u}_2 =\) 
\[
\begin{bmatrix} 
\_\_\_\_ \\ 
\_\_\_\_ \\ 
\_\_\_\_ 
\end{bmatrix}.
\]

**The eigenvalue \(\lambda_3 =\)** \(\_\_\_\_\_\_\_\) has associated unit eigenvector \(\vec{u}_3 =\) 
\[
\begin{bmatrix} 
\_\_\_\_ \\ 
\_\_\_\_ \\ 
\_\_\_\_ 
\end{bmatrix}.
\]

*Note: The eigenvectors above form an orthonormal eigenbasis for \( A \).*
Transcribed Image Text:Find the eigenvalues \(\lambda_1 < \lambda_2 < \lambda_3\) and associated unit eigenvectors \(\vec{u}_1, \vec{u}_2, \vec{u}_3\) of the symmetric matrix \[ A = \begin{bmatrix} 0 & 0 & 9 \\ 0 & -6 & 0 \\ 9 & 0 & 0 \end{bmatrix}. \] **The eigenvalue \(\lambda_1 =\)** \(\_\_\_\_\_\_\_\) has associated unit eigenvector \(\vec{u}_1 =\) \[ \begin{bmatrix} \_\_\_\_ \\ \_\_\_\_ \\ \_\_\_\_ \end{bmatrix}. \] **The eigenvalue \(\lambda_2 =\)** \(\_\_\_\_\_\_\_\) has associated unit eigenvector \(\vec{u}_2 =\) \[ \begin{bmatrix} \_\_\_\_ \\ \_\_\_\_ \\ \_\_\_\_ \end{bmatrix}. \] **The eigenvalue \(\lambda_3 =\)** \(\_\_\_\_\_\_\_\) has associated unit eigenvector \(\vec{u}_3 =\) \[ \begin{bmatrix} \_\_\_\_ \\ \_\_\_\_ \\ \_\_\_\_ \end{bmatrix}. \] *Note: The eigenvectors above form an orthonormal eigenbasis for \( A \).*
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