Introduction
In Chapter 1 we said a vector is "anything you can add and scale". This topic makes that precise. We first look at groups — sets with one well-behaved operation — and then define a vector space: a set where addition and scaling follow a short list of rules. Everything later in linear algebra (basis, rank, projections, eigenvectors) is built on these rules.