Linear Applications: Kernel and Image

Covers the determination of matrices associated with linear transformations and explores the kernel and image concepts.

Covers determining vector spaces, calculating kernels and images, defining bases, and discussing subspaces and vector spaces.

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

Covers kernels and images of linear transformations between vector spaces.

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