Questions: Find the eigenvalues of A, and find a basis for each eigenspace. A=[ 1 -0.5 1.6 0.2 ]

Find the eigenvalues of A, and find a basis for each eigenspace.

A=[
1  -0.5 
1.6  0.2
]
Transcript text: Find the eigenvalues of $A$, and find a basis for each eigenspace. \[ A=\left[\begin{array}{rr} 1 & -0.5 \\ 1.6 & 0.2 \end{array}\right] \]
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Solution

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Solution Steps

To find the eigenvalues of matrix \( A \), we need to solve the characteristic equation \( \text{det}(A - \lambda I) = 0 \). Once we have the eigenvalues, we can find the corresponding eigenvectors by solving the equation \( (A - \lambda I)v = 0 \) for each eigenvalue \( \lambda \).

Step 1: Find the Eigenvalues

The eigenvalues of the matrix \( A = \begin{bmatrix} 1 & -0.5 \\ 1.6 & 0.2 \end{bmatrix} \) are calculated from the characteristic polynomial. The eigenvalues are given by: \[ \lambda_1 = 0.6 + 0.8i, \quad \lambda_2 = 0.6 - 0.8i \]

Step 2: Find the Eigenvectors

The corresponding eigenvectors for each eigenvalue can be determined from the equation \( (A - \lambda I)v = 0 \).

For \( \lambda_1 = 0.6 + 0.8i \): The eigenvector is: \[ v_1 = \begin{bmatrix} 0.2182 + 0.4364i \\ 0.8729 \end{bmatrix} \]

For \( \lambda_2 = 0.6 - 0.8i \): The eigenvector is: \[ v_2 = \begin{bmatrix} 0.2182 - 0.4364i \\ 0.8729 \end{bmatrix} \]

Final Answer

The eigenvalues of the matrix \( A \) are \( \lambda_1 = 0.6 + 0.8i \) and \( \lambda_2 = 0.6 - 0.8i \). The corresponding eigenvectors are: \[ v_1 = \begin{bmatrix} 0.2182 + 0.4364i \\ 0.8729 \end{bmatrix}, \quad v_2 = \begin{bmatrix} 0.2182 - 0.4364i \\ 0.8729 \end{bmatrix} \] Thus, the final answer is: \[ \boxed{\text{Eigenvalues: } 0.6 + 0.8i, 0.6 - 0.8i; \text{ Eigenvectors: } v_1, v_2} \]

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