Introduction

Introduction

So far a matrix has been a table of numbers. The deeper view: a matrix is a machine that moves vectors. Feed in $\mathbf{x}$, get out $A\mathbf{x}$. Applied to every point of the plane at once, a matrix stretches, rotates, shears or flips the whole grid. This picture is the key to understanding eigenvectors, SVD and neural networks.