Alphabeta Math
DefinitionDefinition: AI-adaptedProof: AI-adaptedPipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-13
How statement and proof provenance work

The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.

  • Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
  • AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
  • AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.

These labels describe origin, not correctness: citations and verification chips remain separate evidence.

Standard orientation of the affine simplex

Definition

For k≥1, orient the affine span of the standard simplex Δk=[v0,…,vk] by the ordered basis E1=v1−v0,…,Ek=vk−v0. The ordered face opposite vi has the remaining vertices in their original order. Its outward-normal-first boundary orientation is (−1)i times that ordered orientation. Thus the oriented boundary convention is ∂[v0,…,vk]=∑i=0k(−1)i[v0,…,v^i,…,vk].

Orient Δ0 as a positive point. It has no faces. For an interval, the displayed boundary is its positive terminal point minus its positive initial point. These coefficients record determinant-line signs on zero-dimensional faces; they do not assert that a one-vertex abstract simplex has two vertex orderings. Boundary orientation is computed at the relative interior of each face, where the simplex is locally a half-space; no smooth structure on general manifolds with corners is used.

Facts & Assumptions

[F1]

The standard topological simplex and its affine face maps gives barycentric coordinates, vertices and the zero-insertion affine face maps.

[F2]

An orientation of a simplex identifies ordered vertex lists up to even permutation.

[F3]

Determinant-line orientations of finite-dimensional real vector spaces supplies determinant-line rays, including the two rays in dimension zero.

[F4]

Induced boundary orientation uses an outward vector first, followed by a positive boundary determinant.

Verification

Given: The standard simplex and its ordered vertices. For positive dimension write Ω=E1∧⋯∧Ek.

1.1F1F2F3given

The affine parametrization x↦v0+∑j=1kxjEj identifies the simplex with xj≥0 and ∑jxj≤1. The Ej are independent: their coordinates in positions 1,…,k form the identity matrix. Swapping two vertices other than v0 swaps two basis columns and changes the wedge sign. Swapping v0,v1 replaces the basis by −E1,E2−E1,…,Ek−E1, whose wedge is −Ω. These swaps generate the vertex permutations, so a permutation changes the ray by its permutation sign. The affine convention therefore agrees with [F2] for k≥1.

2.1F3F4step 1.1

For 1≤i≤k, the face xi=0 has its ordered basis E1,…,E^i,…,Ek. At a relative interior point, −Ei points outward, since the interior has xi>0. Moving this vector from the first position to position i gives (−Ei)∧E1∧⋯∧E^i∧⋯∧Ek=(−1)iΩ. Multiplying the face determinant by (−1)i makes its wedge after that outward vector positive. Thus [F4] gives exactly the claimed boundary sign on this face.

2.2F3F4step 1.1

On face zero, ∑jxj=1, the remaining ordered vertices are v1,…,vk, with basis E2−E1,…,Ek−E1. The vector E1 points outward, since it increases the coordinate sum. Its wedge with this face basis is Ω, because all terms selecting another E1 vanish by alternation. Hence the ordered face already has the boundary orientation, giving sign (−1)0=1. The outward vectors in this calculation need not be perpendicular: their strict transverse directions are exactly what [F4] requires.

3.1F1F2F3F4step 2.1step 2.2∎

For k=1, the face bases in steps 2.1–2.2 are empty determinants, namely 1∈Λ0{0}=R. The outward vectors at v0,v1 are −E1,E1, so their induced determinant-line signs are respectively minus and plus. This gives [v1]−[v0], despite the unique vertex ordering of each abstract point in [F2]. For k=0, the chosen ray is positive and [F1] gives no face maps or negative-dimensional simplex. The simplex is never empty; zero coefficients or degenerate maps into a target do not change this domain orientation. Every vector and sign was specified explicitly, so no choice principle is used.

Depends on

Dependency tree · 2 levels

Sources