Linear Algebra | Lecture 4 скачать в хорошем качестве

Linear Algebra | Lecture 4

Corollaries (relating row reducing to identity, and the inverse matrix + showing row reducing and implying B=PA for P invertible) + Theorem 13 (A invertible ⟺ AX=0 only has the trivial solution ⟺ AX=Y has a solution for all Y) + Corollaries (A square matrix with either a left or right inverse is invertible + If A=A1…Ak then A invertible ⟺ Aj invertible) + Using the augmented matrix to find inverses (and solving non homogeneous systems) + Started Ch 2 Vector Spaces (gave the geometric intuition to begin with) For details and lecture notes, see https://donkeydocs.github.io/