Theory of Intelligence
MATH FOR AI•Linear Algebra•Angles And Orthogonality•7.2 Orthogonality

Introduction

Orthogonal and orthonormal vectors, orthogonal matrices, and orthonormal bases.

Introduction

Orthogonal means "perpendicular", generalised to any dimension and any inner product. Orthogonal directions don't interfere with each other: moving along one tells you nothing about the other. That makes orthogonal bases and orthogonal matrices the cleanest tools in numerical linear algebra — and the reason PCA's components are so easy to work with.

Discuss theoretical concepts, mathematical formulas, and architectural foundations.

Supports inline code with `backticks`
No comments yet. Be the first to start the discussion!