A vector space consists of a set of vectors (column matrices) and a set of scalars (real numbers), which is closed under vector addition and scalar multiplication. For example, assuming u, v are 3-by-1 matrices; a, b are real numbers; w = a u + b v is a 3-by-1 matrix. Linear independence A set … Continue reading Vector Space & Fundamental Subspaces