Lectures related to Eigenvalues and Eigenvectors

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

Covers the concepts of kernel and image of a linear transformation and their relationship with the rank of the matrix.

Covers the process of finding a base from a system of generators in linear algebra.

Offers a quick review of key linear algebra concepts essential for further topics.

Covers the organization of linear algebra course and exercises for civil engineering and environmental sciences students.

Covers determining vector spaces, calculating kernels and images, defining bases, and discussing subspaces and vector spaces.

Introduces abstract concepts in linear algebra, focusing on operations with vectors and matrices.