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.
The asymptotic extremal density is determined exactly by chromatic number:
Statement
For every finite graph with at least one edge,
In particular, two such graphs have the same Turán density exactly when they have the same chromatic number, and every bipartite has density .
Facts & Assumptions
Given: The hypotheses and notation of the statement above.
If is a finite graph with an edge and , then (Erdős–Stone–Simonovits: for every graph with an edge).
For every finite graph with an edge, the normalized extremal numbers converge to , their infimum over (Every finite graph with an edge has a Turán density ).
Every finite bipartite graph with an edge has Turán density zero (Every bipartite graph with at least one edge has Turán density zero).
Proof
Erdős–Stone–Simonovits states that the normalized extremal number tends to , while the definition of is that same existing limit. This proves the formula.
For integers , the function is strictly increasing, so equal values are equivalent to equal chromatic numbers. At it is , agreeing with the KST-derived bipartite corollary.
Steps 1.1-2.1 prove the exact density statement and both consequences.
Depends on
Used by
Dependency tree · two levels
12 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
- Yufei Zhao, Graph Theory and Additive Combinatorics (standard reference, not scraped)
- Reinhard Diestel, Graph Theory, Chapter 7 (standard reference, not scraped)