Eigenvalues and diagonalization

An eigenvector keeps its direction under A.

Its roots are the eigenvalues.

Subspace of eigenvectors associated with lambda, together with zero.

Represents A in a basis of eigenvectors.

Simplifies matrix powers and recurrences.

Every real symmetric matrix admits an orthogonal diagonalization.