Polynomial Characteristic and Eigenvalues

Related lectures (29)

Page 1 of 3

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

Explores eigenvalues and minimal polynomial, emphasizing their importance in linear algebra.

Covers matrix eigenvalues, eigenvectors, and their linear independence.

Covers fundamental concepts in linear algebra, including linear equations, matrix operations, determinants, and vector spaces.

Covers eigenvalues and eigenvectors, explaining their importance in linear algebra.

Explains how to find free variables in matrix equations and analyze characteristic polynomials.

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

Explains the diagonalization of linear transformations using eigenvectors and eigenvalues to form a diagonal matrix.

Showcases a non-diagonalizable matrix example and explores eigenvalues and eigenvectors.

Explores the diagonalization of matrices through eigenvalues and eigenvectors, emphasizing the importance of bases and subspaces.