Eigenvalues and Eigenvectors

Rarely Tested

For square matrix $$A$$, if $$AX = \lambda X$$ for non-zero $$X$$, then $$\lambda$$ is eigenvalue, $$X$$ is eigenvector.

Characteristic equation: $$\det(A - \lambda I) = 0$$.

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