For 2 = -1, we found the eigenspace consists of solutions to the following. 20 2 0 0 0 0 0 0 0 0 0 Writing this as a system of equations gives 2x, + 2x3 = 0, or x, = ] )*3• Let x3 = s be the free variable in the equation. Also, note that x, = t is a free variable as it does not appear in the equations. Therefore, the set of solutions is given by the vector . Thus, the eigenvectors are of the form Find the spanning set for the eigenspace for 1 = -1. span

Algebra and Trigonometry (6th Edition)
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ChapterP: Prerequisites: Fundamental Concepts Of Algebra
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For \(\lambda = -1\), we found the eigenspace consists of solutions to the following:

\[
\begin{bmatrix}
2 & 0 & 2 & 0 \\
0 & 0 & 0 & 0 \\
0 & 0 & 0 & 0 
\end{bmatrix}
\]

Writing this as a system of equations gives \(2x_1 + 2x_3 = 0\), or \(x_1 = \left(\rule{20px}{0.5pt}\right)x_3\). Let \(x_3 = s\) be the free variable in the equation. Also, note that \(x_2 = t\) is a free variable as it does not appear in the equations.

Therefore, the set of solutions is given by the vector \(\begin{bmatrix} \left(\rule{20px}{0.5pt}\right)s \\ t \\ s \end{bmatrix}\). Thus, the eigenvectors are of the form

\[
s \begin{bmatrix} -1 \\ 0 \\ 1 \end{bmatrix} + t \begin{bmatrix} 0 \\ 1 \\ 0 \end{bmatrix}.
\]

Find the spanning set for the eigenspace for \(\lambda = -1\).

\[
\text{span}\left( 
\begin{bmatrix} 
\rule{20px}{0.5pt} \\ 
\rule{20px}{0.5pt} \\ 
\rule{20px}{0.5pt} 
\end{bmatrix} 
\right)
\]
Transcribed Image Text:For \(\lambda = -1\), we found the eigenspace consists of solutions to the following: \[ \begin{bmatrix} 2 & 0 & 2 & 0 \\ 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 \end{bmatrix} \] Writing this as a system of equations gives \(2x_1 + 2x_3 = 0\), or \(x_1 = \left(\rule{20px}{0.5pt}\right)x_3\). Let \(x_3 = s\) be the free variable in the equation. Also, note that \(x_2 = t\) is a free variable as it does not appear in the equations. Therefore, the set of solutions is given by the vector \(\begin{bmatrix} \left(\rule{20px}{0.5pt}\right)s \\ t \\ s \end{bmatrix}\). Thus, the eigenvectors are of the form \[ s \begin{bmatrix} -1 \\ 0 \\ 1 \end{bmatrix} + t \begin{bmatrix} 0 \\ 1 \\ 0 \end{bmatrix}. \] Find the spanning set for the eigenspace for \(\lambda = -1\). \[ \text{span}\left( \begin{bmatrix} \rule{20px}{0.5pt} \\ \rule{20px}{0.5pt} \\ \rule{20px}{0.5pt} \end{bmatrix} \right) \]
Consider the following.

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

(a) Compute the characteristic polynomial of \( A \).

(b) Compute the eigenvalues and bases of the corresponding eigenspaces of \( A \).

(c) Compute the algebraic and geometric multiplicity of each eigenvalue.
Transcribed Image Text:Consider the following. \[ A = \begin{bmatrix} 1 & 0 & 2 \\ 3 & -1 & 3 \\ 2 & 0 & 1 \end{bmatrix} \] (a) Compute the characteristic polynomial of \( A \). (b) Compute the eigenvalues and bases of the corresponding eigenspaces of \( A \). (c) Compute the algebraic and geometric multiplicity of each eigenvalue.
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