Matrix Representation of Linear Transformation

Explains how to construct the matrix representation of a linear transformation using ordered bases.

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

Explores changing bases in vector spaces and the matrix representation of this change.

Covers matrix kernels, images, linear applications, independence, and bases in vector spaces.

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