Non-Diagonalizable Cases: Proofs

Explains the diagonalization of matrices, criteria, and significance of distinct eigenvalues.

Covers the theory and examples of diagonalizing matrices, focusing on eigenvalues, eigenvectors, and linear independence.

Explores characteristic polynomials, similarity of matrices, and eigenvalues in linear transformations.

Explores symmetric matrices, their diagonalization, and properties like eigenvalues and eigenvectors.

Covers the criteria for diagonalizing a matrix and provides illustrative examples.