4.4 Compute all eigenspaces of 1 -2 3 A = -1 1 -1 1

Algebra and Trigonometry (6th Edition)
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Author:Robert F. Blitzer
Publisher:Robert F. Blitzer
ChapterP: Prerequisites: Fundamental Concepts Of Algebra
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Problem 1MCCP: In Exercises 1-25, simplify the given expression or perform the indicated operation (and simplify,...
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**4.4 Compute all eigenspaces of**

Matrix \( A \) is given by:

\[
A = \begin{bmatrix}
0 & -1 & 1 & 1 \\
-1 & 1 & -2 & 3 \\
2 & -1 & 0 & 0 \\
1 & -1 & 1 & 0 
\end{bmatrix}
\]

**Instructions on Calculating Eigenspaces:**

1. **Find the Eigenvalues:**
   - Calculate the determinant of \( A - \lambda I \), where \( \lambda \) is a scalar, and \( I \) is the identity matrix of the same size as \( A \).
   - Solve the characteristic equation \(\det(A - \lambda I) = 0\) for the eigenvalues \(\lambda\).

2. **Find the Eigenvectors:**
   - For each eigenvalue \(\lambda\), solve the equation \((A - \lambda I)\mathbf{v} = 0\) to find the corresponding eigenvector(s) \(\mathbf{v}\).

3. **Determine the Eigenspaces:**
   - The eigenspace corresponding to each eigenvalue is the set of all its eigenvectors, including the zero vector, which forms a vector space.
Transcribed Image Text:**4.4 Compute all eigenspaces of** Matrix \( A \) is given by: \[ A = \begin{bmatrix} 0 & -1 & 1 & 1 \\ -1 & 1 & -2 & 3 \\ 2 & -1 & 0 & 0 \\ 1 & -1 & 1 & 0 \end{bmatrix} \] **Instructions on Calculating Eigenspaces:** 1. **Find the Eigenvalues:** - Calculate the determinant of \( A - \lambda I \), where \( \lambda \) is a scalar, and \( I \) is the identity matrix of the same size as \( A \). - Solve the characteristic equation \(\det(A - \lambda I) = 0\) for the eigenvalues \(\lambda\). 2. **Find the Eigenvectors:** - For each eigenvalue \(\lambda\), solve the equation \((A - \lambda I)\mathbf{v} = 0\) to find the corresponding eigenvector(s) \(\mathbf{v}\). 3. **Determine the Eigenspaces:** - The eigenspace corresponding to each eigenvalue is the set of all its eigenvectors, including the zero vector, which forms a vector space.
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