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.
-uniform hypergraphs and complete balanced -partite -graphs
Definition
For , an -uniform hypergraph is a pair with finite and . Its edges are -element vertex sets. Ordinary subhypergraph containment means injectively mapping vertices so that every edge maps to an edge.
For , the complete balanced -partite -graph
has disjoint vertex parts , each of size , and one hyperedge for every transversal choosing exactly one vertex from each part. For this is the ordinary complete bipartite graph .
For an -uniform hypergraph with an edge, denotes the maximum number of hyperedges in an -vertex -free -uniform hypergraph. The edgeless -graph is an admissible candidate, and the family of possible edge sets is finite, so the maximum exists. The uniformity is determined by .
Depends on
Used by
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 43 results over 17 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
- Yufei Zhao, Graph Theory and Additive Combinatorics (standard reference, not scraped)