Lectures related to Linear Algebra: Matrix Decomposition and Base Change

Explains the diagonalization of linear transformations using eigenvectors and eigenvalues to form a diagonal matrix.

Covers the concepts of kernel and image of a linear transformation and their relationship with the rank of the matrix.

Explores matrix representations of linear maps and their invariance, using examples and special cases.