Lectures related to Linear Applications: Matrices and Spaces

Covers the basics of linear mapping and coordinate systems.

Explores linear dependence and independence of vectors, including subspaces generation and corollaries.

Covers linear algebra basics, including matrices, change of basis, and invertible matrices.

Explains kernel, image, and linear maps, illustrating concepts with examples.

Explores characteristic polynomials, similarity of matrices, and eigenvalues in linear transformations.

Explores changing bases in vector spaces using matrices and the significance of preserving structure within vector spaces.