Covers the basics of linear algebra, emphasizing the identification of subspaces through key properties.
Covers determining vector spaces, calculating kernels and images, defining bases, and discussing subspaces and vector spaces.
Covers the definition and properties of linear forms in vector spaces, including generating families and direct sums.
Explores equivalence in vector spaces, covering conditions for statements to be considered equivalent and properties of algebraic bases.
Introduces linear applications, span, kernels, and images in vector spaces with illustrative examples and theorems.
