Look at a vector and ask: how long is it? How far apart are two vectors? Are they pointing in the same direction, or are they completely unrelated? These are the questions that inner products and norms answer. They turn abstract vector spaces into places where we can measure similarity, distance, and size — the very things that let us judge whether a numerical method is getting close to the true solution of a differential equation.