Lectures related to Linear Applications: Change of Basis

Linear Transformations: Matrices and Applications

Covers linear transformations using matrices, focusing on linearity, image, and kernel.

Linear Applications: Matrices and Spaces

Covers linear applications, matrices, and vector spaces, emphasizing the concept of linear independence.

Explores linear independence in vector spaces and the concept of bases.

Delves into the bijection between linear applications and matrices, exploring linearity, injectivity, surjectivity, and the consequences of this relationship.

Linear Algebra Basics

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

Linear Algebra: Subspaces and Transformations

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