Linear Algebra: Matrices and Transformations

Related lectures (26)

Page 1 of 3

Explores eigenvalues and eigenvectors in 3D linear algebra, covering characteristic polynomials, stability under transformations, and real roots.

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

Explores eigenvalues and eigenvectors in matrices through examples and calculations.

Explores eigenvalues and eigenvectors, demonstrating their importance in linear algebra and their application in solving systems of equations.

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 orthogonal matrices, eigenvalues, and orientation-preserving transformations in linear algebra.

Covers eigenvalues, eigenvectors, and matrix similarity for dynamic systems.

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

Covers eigenvalues, eigenvectors, characteristic polynomials, and eigenspaces for square matrices.