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.
Few induced copies force a linearly large induced subgraph with bounded maximum degree
Statement
Let be a finite graph and let . Then there exists such that every nonempty finite graph with
has a set with for which one of or has maximum degree at most .
Facts & Assumptions
Given: A finite graph , a real , and a nonempty finite graph with .
Nikiforov's theorem yields such that the induced-copy bound forces an -restricted set of size at least (Nikiforov: for every and every there is such that every graph with has an -restricted vertex set of size at least ).
In a sparse graph, any prescribed size up to half the order can be chosen so that the induced subgraph has proportionally bounded maximum degree (A sparse graph has a prescribed-size induced subgraph of bounded maximum degree).
Proof
Apply [L1] with parameter and let . Then there is a set with such that either or is -sparse.
Let . Since , we have . Applying [L2] inside the sparse side on gives with such that the same side has maximum degree at most .
Thus one of or has maximum degree at most , as required.
Depends on
- Nikiforov: for every $H$ and every $\epsilon\in(0,\tfrac12)$ there is $\delta>0$ such that every graph $G$ with $\operatorname{ind}_H(G)<(\delta|V(G)|)^{|V(H)|}$ has an $\epsilon$-restricted vertex set of size at least $\delta|V(G)|$
- A sparse graph has a prescribed-size induced subgraph of bounded maximum degree
- Induced embeddings and induced copies of a graph
- Graph isomorphisms, automorphisms and graph complements
- Edge counts and densities between nonempty vertex sets
Used by
Dependency tree · two levels
20 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
- Maria Chudnovsky, Alex Scott, Paul Seymour, and Sophie Spirkl, Erdős-Hajnal for graphs with no 5-hole, Theorem 6.5 (standard reference, not scraped)
- Shenwei Huang, Yiao Ju, and Yidong Zhou, Erdős-Hajnal beyond the five-vertex path, Theorem 1.2 (standard reference, not scraped)