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.
For , every sufficiently large -restricted set lies in one side
Example
Let be the disjoint union of two cliques of the same order. For , every -restricted set of unbounded size is concentrated in one of the two cliques.
Facts & Assumptions
Given: A graph that is the disjoint union of two cliques and of the same order, a real , and a nonempty set with and .
A nonempty set contained in one clique is -dense (The -sparse sets are exactly the stable sets and the -dense sets exactly the cliques).
A nonempty set is -restricted when either every vertex of has at most neighbours in , or every vertex of has at most non-neighbours in other than itself (-sparse, -dense and -restricted vertex sets).
Verification
If or , then lies in one clique, so [L1] makes it -dense and hence -restricted.
Suppose . The largest internal degree in is , while the largest number of non-neighbours in is , attained by a vertex in the smaller trace.
If is -restricted, then [L2] and step 1.2 force either in the sparse case or in the dense case. Either implies , so . Thus a restricted set meeting both sides has size bounded solely in terms of .
Therefore every sufficiently large -restricted set is concentrated on one side.
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
13 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.