Determine if X = -3 is an eigenvalue of the matrix A = V 2 6 -12 0 0 -9-4 24 11

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
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**Determine if \(\lambda = -3\) is an eigenvalue of the matrix \( A \):**

\[ 
A = \begin{bmatrix} 
2 & 0 & 0 \\ 
6 & -9 & -4 \\ 
-12 & 24 & 11 
\end{bmatrix}
\]

In this problem, we are tasked with determining whether the scalar \(\lambda = -3\) is an eigenvalue of the matrix \( A \). An eigenvalue of a matrix is a number such that there exists a non-zero vector \(\mathbf{v}\) which satisfies the equation \( A\mathbf{v} = \lambda\mathbf{v} \). 

To verify, one must check whether the determinant of the matrix \( (A - \lambda I) \) is zero, where \( I \) is the identity matrix.
Transcribed Image Text:**Determine if \(\lambda = -3\) is an eigenvalue of the matrix \( A \):** \[ A = \begin{bmatrix} 2 & 0 & 0 \\ 6 & -9 & -4 \\ -12 & 24 & 11 \end{bmatrix} \] In this problem, we are tasked with determining whether the scalar \(\lambda = -3\) is an eigenvalue of the matrix \( A \). An eigenvalue of a matrix is a number such that there exists a non-zero vector \(\mathbf{v}\) which satisfies the equation \( A\mathbf{v} = \lambda\mathbf{v} \). To verify, one must check whether the determinant of the matrix \( (A - \lambda I) \) is zero, where \( I \) is the identity matrix.
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