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 there is an -vertex graph with
Statement
For every integer , there exists an -vertex graph such that
Facts & Assumptions
Given: An integer and .
The homogeneous number of a graph is the larger of its clique and stable-set numbers (Homogeneous vertex sets and the homogeneous number ).
In , all possible edges are independent Bernoulli variables on the labelled vertex set (The Erdős-Rényi finite random graph ).
Prescribing present edges and absent edges in has probability (A prescribed set of present and absent edges in has product probability).
Expectations of a finite family of random variables add without an independence hypothesis (Expectation is linear for every finite family of random variables, without any independence hypothesis).
If a nonnegative integer-valued random variable on a finite probability space has expectation below , some outcome makes it (The first-moment method for avoiding or forcing a finite count of bad events).
There are subsets of size in an -set (The set of -element subsets and the binomial coefficient ).
For with and , (The logarithm to a positive base other than one).
is strictly increasing, and for satisfies , , and (Order, continuity, range, and the product, quotient, and reciprocal laws for the natural logarithm).
Proof
By [L8], , so [L7] makes strictly increasing with . Applying to the factors of an integer power, and for a negative exponent, gives for every integer and for every and every positive integer .
Since , step 1.1 gives , and satisfies .
In let count the -subsets that induce a clique or a stable set. For a fixed -subset these two disjoint events each prescribe all pairs, so [L2] and [L3] give probability .
By [L4] and [L6], .
By step 1.1 the base-two logarithm of that last bound is , where the first inequality uses and , which make . Since is strictly increasing with , the bound itself is below , so .
By [L5], choose an outcome graph with . It has no homogeneous -subset, and any homogeneous set of order at least would contain one, so .
Depends on
- Homogeneous vertex sets and the homogeneous number $\operatorname{hom}(G)=\max\{\omega(G),\alpha(G)\}$
- The Erdős-Rényi finite random graph $G(n,p)$
- A prescribed set of present and absent edges in $G(n,p)$ has product probability
- Expectation is linear for every finite family of random variables, without any independence hypothesis
- The first-moment method for avoiding or forcing a finite count of bad events
- The set $[A]^{k}$ of $k$-element subsets and the binomial coefficient $\binom{n}{k} := \lvert [n]^{k}\rvert$
- The logarithm to a positive base other than one
- Order, continuity, range, and the product, quotient, and reciprocal laws for the natural logarithm
Used by
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 104 results over 26 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
- A. Chernikov, MATH 223M notes, sec. 3.1 (standard reference, not scraped)