Lectures related to Linear Algebra: Vector Spaces

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

Introduces the concept of basis and canonical basis in linear algebra, essential for vector space representation.

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