Question
Find the spectral decomposition of the \mathbf{S}. That is, find the eigenvalues and their corresponding eigenvectors.
Enter the eigenvalues in decreasing order (so \lambda _1>\lambda _2.)
\lambda ^{(1)}=\quad
unanswered
\lambda ^{(2)}=\quad
unanswered
Find the eigenvectors \mathbf v_{\lambda _1} and \mathbf v_{\lambda _2}. (All scalar multiples will be accepted)
\mathbf v_{\lambda _1}=\quad
unanswered
{::}
\mathbf v_{\lambda _2}=\quad
unanswered
{::}
Enter the eigenvalues in decreasing order (so \lambda _1>\lambda _2.)
\lambda ^{(1)}=\quad
unanswered
\lambda ^{(2)}=\quad
unanswered
Find the eigenvectors \mathbf v_{\lambda _1} and \mathbf v_{\lambda _2}. (All scalar multiples will be accepted)
\mathbf v_{\lambda _1}=\quad
unanswered
{::}
\mathbf v_{\lambda _2}=\quad
unanswered
{::}
Answers
GPT 3.5
Without having the matrix \mathbf{S}, it is not possible to determine its eigenvalues and eigenvectors. Please provide the matrix \mathbf{S} in order to solve the problem.