Alphabeta Math
DefinitionDefinition: Literature-sourcedProof: Not applicableSession-authored (Fable 5 assisted)judge pass (deepseek-v4-pro + gpt-5.6-terra)audited 2026-08-16
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.

Edge counts and densities between nonempty vertex sets

Definition

Let G be a finite simple graph (A finite simple graph is a finite vertex set together with a set of two-element vertex subsets) and let X,YV(G). Define the ordered cross-edge count eG(X,Y):={(x,y)X×Y:xyE(G)}. When X and Y are nonempty, their edge density is dG(X,Y):=eG(X,Y)XY. We omit the subscript when the graph is clear. If X and Y are disjoint, this agrees with the edges between sets in Edges between disjoint vertex sets; complete, anticomplete, pure and mixed pairs. If they overlap, an edge with both endpoints in XY contributes in both orientations, while diagonal pairs (x,x) never contribute.

For a nonempty graph, write d(G):=dG(V(G),V(G))=2E(G)/V(G)2. By convention the density of the null graph is 0.

Depends on

Used by

Dependency tree · next 3 levels

Direct dependencies and their dependencies through the next three levels: 11 results over 9 levels. An arrow runs from a result to what uses it, and this result sits at the bottom with a heavier outline. Click the chart to enlarge it.

Sources