Theory of Intelligence
MATH FOR AI•Linear Algebra•Angles And Orthogonality•7.3 Orthogonal Complements & Function Spaces

Introduction

Orthogonal complements, normal vectors and hyperplanes, and inner products of functions.

Introduction

Given a subspace, everything perpendicular to it forms another subspace — its orthogonal complement. This splits space into two non-overlapping parts and explains why a plane or hyperplane can be described by a single normal vector, the way linear classifiers describe their decision boundary. We finish by extending inner products from lists of numbers to functions.

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