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Eigenvalues of [[0,0],[0,1]]
\left[\begin{matrix}0 & 0\\0 & 1\end{matrix}\right]
Step by step
- \det(A - \lambda I) = 0
Eigenvalues are the roots of the characteristic polynomial.
- \det\left[\begin{matrix}- \lambda & 0\\0 & 1 - \lambda\end{matrix}\right] = 0
Subtract λ from the diagonal.
- \lambda^{2} - \lambda = 0
Expand the determinant.
- \lambda \left(\lambda - 1\right) = 0
Factor.
- \lambda = 0, \lambda = 1
Eigenvalues (with multiplicity).
- \lambda = 0:\ (A - \lambda I)\mathbf{v} = 0 \Rightarrow \mathbf{v} = \left[\begin{matrix}1\\0\end{matrix}\right]
Solve (A − 0I)v = 0 for a basis eigenvector.
- \lambda = 1:\ (A - \lambda I)\mathbf{v} = 0 \Rightarrow \mathbf{v} = \left[\begin{matrix}0\\1\end{matrix}\right]
Solve (A − 1I)v = 0 for a basis eigenvector.
Reveal the answer
\lambda = 0,\; \lambda = 1