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Mathematics · Glossary

What is affine space?

Definition 17.1 University Mathematics — Year 2 · Chapter 17 — Affine Spaces

An affine space directed by a real vector space EE is a nonempty set E\mathcal{E} with a map (A,B)↦AB→∈E(A, B) \mapsto \vect{AB} \in E satisfying

AB→+BC→=AC→(Chasles),for each A, B↦AB→ is a bijection E→E.\vect{AB} + \vect{BC} = \vect{AC} \quad \text{(Chasles)}, \qquad \text{for each } A,\ B \mapsto \vect{AB} \text{ is a bijection } \mathcal{E} \to E .

One writes B=A+uB = A + u for the unique point with AB→=u\vect{AB} = u. The dimension of E\mathcal{E} is dim⁡E\dim E. Every vector space is an affine space over itself (AB→=B−A\vect{AB} = B - A); every choice of origin O∈EO \in \mathcal{E} identifies E\mathcal{E} with EE via M↦OM→M \mapsto \vect{OM}.

Examples

Example 17.2 (An affine space with no natural origin)

The solution plane E={(x,y,z)∈R3:x+y+z=1}\mathcal E = \{(x, y, z) \in \R^3 : x + y + z = 1\} is not a vector subspace (0∉E0 \notin \mathcal E), but it is an affine space directed by E={x+y+z=0}E = \{x + y + z = 0\}: for A,B∈EA, B \in \mathcal E the difference AB→=B−A\vect{AB} = B - A lands in EE (the sums cancel), Chasles is inherited from R3\R^3, and B↦AB→B \mapsto \vect{AB} is bijective onto EE. No point of E\mathcal E is distinguished — any choice of “origin” O∈EO \in \mathcal E works equally well, and all the identifications M↦OM→M \mapsto \vect{OM} differ by translations. This is the typical situation: solution sets of inhomogeneous linear problems (linear systems, linear differential equations in Chapter 16) are affine, never linear, and the slogan “particular solution plus kernel” is exactly the statement F=A+F\mathcal F = A + F of the next definition.

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