Lectures related to Characteristic Polynomial: Eigenvalues and VAPs

Explores the diagonalization of symmetric matrices through orthogonal decomposition and the spectral theorem.

Covers the diagonalization of matrices with distinct eigenvalues and the importance of this process.

Covers the diagonalization of linear transformations in R^3, exploring properties and examples.

Covers eigenvalues and eigenvectors of a matrix, including the characteristic equation and polynomial.

Explores eigenvalues, matrix trace, and similarity, highlighting their significance in matrix properties.

Covers the diagonalization of symmetric matrices, the spectral theorem, and the use of spectral decomposition.

Explores eigenvalues, diagonalization, and matrix similarity, showcasing their importance and applications.

Covers the properties and calculations of the determinant of a matrix.