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.
In a disjoint union of cliques of order the whole vertex set is -sparse
Example
Let be a nonempty disjoint union of cliques, each of order at most , on a total of vertices. Then is -sparse.
Facts & Assumptions
Given: A nonempty graph on vertices whose connected components are cliques of order at most .
In a disjoint union of cliques, each vertex is adjacent exactly to the other vertices in its own clique component (The connected components of a graph partition its vertex set and are its maximal connected subgraphs, Connected graphs and connected components defined by the existence of vertex paths).
A set is -sparse when every vertex has at most neighbours inside it (-sparse, -dense and -restricted vertex sets).
Verification
By [L1], every vertex of lies in a clique component of size at most , so it has at most neighbours in the whole vertex set.
Since the whole set has size , the bound of step 1.1 reads for every vertex . Therefore [L2] makes -sparse.
Depends on
- $c$-sparse, $c$-dense and $c$-restricted vertex sets
- Cliques, stable sets, the clique number $\omega(G)$ and stability number $\alpha(G)$
- The connected components of a graph partition its vertex set and are its maximal connected subgraphs
- Connected graphs and connected components defined by the existence of vertex paths
Used by
Dependency tree · two levels
17 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
- Y. Huang, Q. Ju, and X. Zhou, Erdős-Hajnal beyond the five-vertex path, sec. 1.1 (standard reference, not scraped)