Lectures related to Linear Maps and Matrices

Covers matrices, linear applications, vector spaces, and bijective functions.

Covers linear applications, matrices, injectivity, surjectivity, and matrix multiplication properties.

Covers matrix multiplication, properties, and inverses in linear algebra.

Covers matrix operations, definitions, properties, and vector operations in Rn, essential for understanding linear algebra concepts.

Covers the matrix representations of linear applications and the equivalence between matrices.

Covers matrix operations and reduction to echelon form with practical examples.

Covers matrix operations and properties of matrices, including symmetric and anti-symmetric matrices.

Explores linear transformations, matrices, injective and surjective functions, and their applications.