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.
A decomposition of a graph's edge set into complete bipartite subgraphs
Definition
Let be a finite simple graph. A complete bipartite decomposition of is a list
of pairs of disjoint nonempty subsets of such that:
- for each , every pair with and is an edge of ; and
- every edge of lies in exactly one of those complete bipartite edge sets.
So the decomposition is of the edge set of , not of its vertex set. The unions need not cover all vertices.
Remarks
- The phrase "exactly one" is the key point: the Graham-Pollak argument counts edges through those parts and needs a genuine partition of the edge set.
Depends on
- A finite simple graph is a finite vertex set together with a set of two-element vertex subsets
- Empty and complete graphs, complete bipartite graphs, and the convention that $P_n$ and $C_n$ have $n$ vertices
- A bipartite graph and a proper two-colouring of its vertices
- Subgraphs, induced subgraphs and spanning subgraphs
- Adjacency, incidence, open and closed neighbourhoods, vertex degree, minimum degree and maximum degree
Used by
Dependency tree · two levels
8 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- O. Pikhurko, An Introduction to Combinatorics, §3.2 (standard reference, not scraped)