Introduction

Introduction

A norm gives lengths. An inner product gives more: lengths, angles and distances all at once. The dot product is the familiar example, but other inner products describe "stretched" geometries — for example one where some features count more than others. Every inner product on $\mathbb{R}^n$ turns out to be a symmetric positive definite matrix.