Lectures related to Coordinate Application in Vector Spaces

Covers vector spaces, operations, and linear independence with examples from polynomials and functions.

Explores vector spaces in three dimensions, covering linear combinations, subspaces, and properties of families of vectors in R³.

Covers the representation of signals in vector spaces and inner product spaces, including the Projection Theorem.

Covers kernels and images of linear transformations between vector spaces.

Covers isomorphism, dimension, bases, and rank in linear transformations between vector spaces.