Linear Algebra: Diagonalization

Related lectures (29)

Page 2 of 3

Explores matrix similarity, diagonalization, characteristic polynomials, eigenvalues, and eigenvectors in linear algebra.

Explores linear applications in R² and matrix representation, including basis, operations, and geometric interpretation of transformations.

Explores vector space operations, linear transformations, matrix representation, and linear applications.

Covers the diagonalization of matrices using eigenvectors and eigenvalues.

Covers linear transformations, matrices, kernels, and properties of invertible matrices.

Explores canonical basis, linear mapping, and eigenvalues in linear algebra.

Explores diagonalization of matrices, similarity relations, and eigenvectors in linear algebra.

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

Covers the reduction of an application, finding reduced forms of matrices, diagonalizability, and polynomial roots.

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