Eigenvalues and operations on matrices
Properties of eigenvalues under matrix operations:
- If $\lambda$ is an eigenvalue of $A$, then $\lambda^k$ is an eigenvalue of $A^k$
- If $\lambda$ is an eigenvalue of $A$, then $1/\lambda$ is an eigenvalue of $A^{-1}$ (if $A$ invertible)
- If $\lambda$ is an eigenvalue of $A$, then $\lambda + c$ is an eigenvalue of $A + cI$
- If $\lambda$ is an eigenvalue of $A$, then $c\lambda$ is an eigenvalue of $cA$
- Similar matrices have the same eigenvalues
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Children
- The eigenvalues of a scalar multiple of a matrix are the scalar multiples of the eigenvalues.
- The eigenvalues of a power of a matrix are the power the eigenvalues.
- The eigenvalues of a polynomial of a matrix are the polynomial of the eigenvalues.
- The eigenvalues of the inverse of a nonsingular matrix are the reciprocals of the eigenvalues.
- A matrix and its transpose have the same eigenvalues/characteristic polynomial.