Lectures related to Linear Applications: Vectorial Structure

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

Explores linear transformations, matrices as functions, and geometric interpretations.

Explores matrix operations, rank determination, kernel dimensions, and basis concepts in linear algebra.

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

Explores subspaces in linear algebra and transformations, including kernels and images of linear transformations.

Covers operations on linear applications in R³, including definitions, behavior of compositions, and determinants.

Covers the definition and examples of vector spaces, including subspaces and linear transformations.

Covers the basic operations on matrices, including addition, scalar multiplication, and matrix multiplication.