2. Verify wh

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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**Problem Statement:**

Verify which of the following vectors are eigenvectors of the matrix \( A \), and determine the corresponding eigenvalues.

**Given Matrix:**

\[ A = \begin{bmatrix} 
5 & 12 & -6 \\ 
-3 & -10 & 6 \\ 
-12 & 6 & 8 
\end{bmatrix} \]

**Vectors to Verify:**

1. \(\begin{bmatrix} 2 \\ 1 \\ 0 \end{bmatrix}\)

2. \(\begin{bmatrix} 2 \\ 1 \\ 1 \end{bmatrix}\)

**Task:**

- Determine if each vector is an eigenvector of matrix \( A \).
- If a vector is an eigenvector, find the corresponding eigenvalue.

**Instructions:**

1. Multiply the matrix \( A \) by each vector.
2. Check if the result is a scalar multiple of the original vector.
3. If it is, the scalar is the eigenvalue. If it is not, the vector is not an eigenvector.
Transcribed Image Text:**Problem Statement:** Verify which of the following vectors are eigenvectors of the matrix \( A \), and determine the corresponding eigenvalues. **Given Matrix:** \[ A = \begin{bmatrix} 5 & 12 & -6 \\ -3 & -10 & 6 \\ -12 & 6 & 8 \end{bmatrix} \] **Vectors to Verify:** 1. \(\begin{bmatrix} 2 \\ 1 \\ 0 \end{bmatrix}\) 2. \(\begin{bmatrix} 2 \\ 1 \\ 1 \end{bmatrix}\) **Task:** - Determine if each vector is an eigenvector of matrix \( A \). - If a vector is an eigenvector, find the corresponding eigenvalue. **Instructions:** 1. Multiply the matrix \( A \) by each vector. 2. Check if the result is a scalar multiple of the original vector. 3. If it is, the scalar is the eigenvalue. If it is not, the vector is not an eigenvector.
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