Find a basis for the eigenspace corresponding to the eigenvalue. 4 3 -2 A = 9 - 4 A= 3 -1-3 A basis for the eigenspace corresponding to à = 3 is {).

Advanced Engineering Mathematics
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Chapter2: Second-order Linear Odes
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**Title: Finding a Basis for the Eigenspace Corresponding to a Given Eigenvalue**

**Problem Statement:**

Find a basis for the eigenspace corresponding to the eigenvalue.

\[ A = \begin{bmatrix} 4 & 3 & -2 \\ 2 & 9 & -4 \\ -1 & -3 & 5 \end{bmatrix} , \quad \lambda = 3 \]

**Question:**

A basis for the eigenspace corresponding to \( \lambda = 3 \) is _____________ (Type a vector or list of vectors. Type an integer or simplified fraction for each matrix element).

**Explanation:**

In this exercise, you are asked to find a basis for the eigenspace corresponding to the eigenvalue \( \lambda = 3 \) for the given matrix \( A \).

To approach this problem:

1. **Compute \( \mathbf{A} - \lambda \mathbf{I} \) :**
   - Subtract \( \lambda \mathbf{I} \) from \( \mathbf{A} \), where \( \mathbf{I} \) is the identity matrix of the same dimension as \( \mathbf{A} \), and \( \lambda \) is the eigenvalue.
2. **Solve the Homogeneous System \( (\mathbf{A} - \lambda \mathbf{I})\mathbf{x} = \mathbf{0} \) :**
   - Find the solutions to the equation \( (\mathbf{A} - \lambda \mathbf{I})\mathbf{x} = \mathbf{0} \).
3. **Find the Basis for the Eigenspace:**
   - The solution vector(s) \( \mathbf{x} \) corresponding to this equation form a basis for the eigenspace.

By finding these steps, you will identify a set of vector(s) that span the eigenspace for \( \lambda = 3 \).

(Note: Ensure that your final answer is a list of vectors or a vector with integer or simplified fraction entries.)
Transcribed Image Text:**Title: Finding a Basis for the Eigenspace Corresponding to a Given Eigenvalue** **Problem Statement:** Find a basis for the eigenspace corresponding to the eigenvalue. \[ A = \begin{bmatrix} 4 & 3 & -2 \\ 2 & 9 & -4 \\ -1 & -3 & 5 \end{bmatrix} , \quad \lambda = 3 \] **Question:** A basis for the eigenspace corresponding to \( \lambda = 3 \) is _____________ (Type a vector or list of vectors. Type an integer or simplified fraction for each matrix element). **Explanation:** In this exercise, you are asked to find a basis for the eigenspace corresponding to the eigenvalue \( \lambda = 3 \) for the given matrix \( A \). To approach this problem: 1. **Compute \( \mathbf{A} - \lambda \mathbf{I} \) :** - Subtract \( \lambda \mathbf{I} \) from \( \mathbf{A} \), where \( \mathbf{I} \) is the identity matrix of the same dimension as \( \mathbf{A} \), and \( \lambda \) is the eigenvalue. 2. **Solve the Homogeneous System \( (\mathbf{A} - \lambda \mathbf{I})\mathbf{x} = \mathbf{0} \) :** - Find the solutions to the equation \( (\mathbf{A} - \lambda \mathbf{I})\mathbf{x} = \mathbf{0} \). 3. **Find the Basis for the Eigenspace:** - The solution vector(s) \( \mathbf{x} \) corresponding to this equation form a basis for the eigenspace. By finding these steps, you will identify a set of vector(s) that span the eigenspace for \( \lambda = 3 \). (Note: Ensure that your final answer is a list of vectors or a vector with integer or simplified fraction entries.)
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