to find all the eigenvectors \vec x such that A\vec x=-2\vec x\text{.}
Definition 5.4.2
Since the kernel of a linear map is a subspace of \IR^n\text{,} and the kernel obtained from A-\lambda I contains all the eigenvectors associated with \lambda\text{,} we call this kernel the eigenspace of A associated with \lambda\text{.}
Activity 5.4.3 (~10 min)
Find a basis for the eigenspace for the matrix \left[\begin{array}{ccc}
0 & 0 & 3 \\ 1 & 0 & -1 \\ 0 & 1 & 3
\end{array}\right] associated with the eigenvalue 3\text{.}
Activity 5.4.4 (~10 min)
Find a basis for the eigenspace for the matrix \left[\begin{array}{cccc}
5 & -2 & 0 & 4 \\ 6 & -2 & 1 & 5 \\ -2 & 1 & 2 & -3 \\ 4 & 5 & -3 & 6
\end{array}\right] associated with the eigenvalue 1\text{.}
Activity 5.4.5 (~10 min)
Find a basis for the eigenspace for the matrix \left[\begin{array}{cccc}
4 & 3 & 0 & 0 \\ 3 & 3 & 0 & 0 \\ 0 & 0 & 2 & 5 \\ 0 & 0 & 0 & 2
\end{array}\right] associated with the eigenvalue 2\text{.}
Linear Algebra for Team-Based Inquiry Learning 2022 Edition Steven Clontz Drew Lewis University of South Alabama University of South Alabama August 2, 2022