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.
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- 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.
Regular Pairs and Induced Counting — Examples
1 · Prerequisites
- Binary Operations, Monoids, Groups and Subgroups
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Countability and Uncountability
- Finite Counting, Factorials and Binomial Coefficients
- Finite Probability and the Probabilistic Method
- Finite Probability Spaces and Random Variables
- Foundations of the Real Numbers for Analysis
- Graphs, Walks and Connectivity
- Induced Subgraphs and Hereditary Graph Classes
- Regular Pairs and Induced Counting
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Roots, Rational Powers, and Classical Inequalities
- Suprema and Infima
- The ZFC Axioms and the Basic Set Constructions
2 · Summary
3 · Logical flowchart
4 · Definitions, theorems and proofs
None yet.
5 · Examples, counterexamples and false statements
Complete and anticomplete disjoint pairs are -regular
Statement
If are disjoint nonempty vertex sets that form a complete pair or an anticomplete pair, then is -regular.
Facts & Assumptions
Given: A complete or anticomplete disjoint pair .
A pair is -regular when every pair of nonempty subsets , has (-regular pairs and self-regular vertex sets).
In a complete pair all possible cross-edges are present, while in an anticomplete pair none are present (Edges between disjoint vertex sets; complete, anticomplete, pure and mixed pairs).
Verification
In the complete case, [L2] gives , and every nonempty subpair also has density .
In the anticomplete case, [L2] gives , and every nonempty subpair has density .
Thus the density difference is zero in either case, which is exactly the -regular convention in [L1].
The half graph has no regularity across its natural bipartition at a fixed small parameter
Statement
Let and , with an edge exactly when . For every , the natural pair is not -regular.
Facts & Assumptions
Given: The displayed bipartite half graph.
Failure of -regularity is witnessed by subsets of relative size at least whose density differs from the full-pair density by more than (-regular pairs and self-regular vertex sets).
A bipartite graph has no edges within either of its two specified sides (Empty and complete graphs, complete bipartite graphs, and the convention that and have vertices).
Counterexample
The number of cross-edges is , so .
Put , , and . Then , and every satisfies for every , so .
For , one has . Together with the size bounds in step 1.2, [L1] shows that is not -regular.
A -regular pair restricted to two half-sized subsets is -regular
Statement
If is -regular and , satisfy and , then is -regular and
Facts & Assumptions
Given: A pair and subsets satisfying the Statement.
The slicing lemma gives new parameter and density shift at most for restrictions of relative sizes at least (Slicing lemma: large subpairs remain regular and their density shifts by at most ).
Verification
Substitute and in [L1]. Each of , , and equals .
The same application of [L1] retains the density-shift bound , proving both decimal-form assertions in the Statement.
The trivial partition has energy , while the singleton partition records every adjacency
Statement
Let be an -vertex graph with and edges. The one-part partition has energy whereas the partition into singletons has energy . The latter is at least the former. For the null graph both energies are by convention.
Facts & Assumptions
Given: A finite graph and its trivial and discrete partitions.
Partition energy is the ordered part-pair weighted sum of squared densities, with null-graph value (The mean-square density, or energy, of a vertex partition).
Energy cannot decrease under refinement (Energy lies in and cannot decrease under refinement).
Verification
For the one-part partition, the ordered-pair density is , so [L1] gives energy .
In the singleton partition, an ordered pair of distinct singleton parts has squared density exactly when its two vertices are adjacent; diagonal densities and nonedge densities are . Every edge contributes its two orientations, so [L1] gives energy .
Since , its square is no larger than itself, agreeing with [L2] because the singleton partition refines the trivial one. The null case is the convention in [L1].
The triangle counting lemma is exact for three complete cross-pairs
Statement
Let be disjoint nonempty vertex sets with every cross-edge between distinct sets present. Every cross-pair is -regular of density , and exactly ordered transversal triples span a triangle.
Facts & Assumptions
Given: Three sets with all cross-edges present.
The triangle counting lemma bounds the number of transversal triangles from the three pair densities and their regularity (Triangle counting lemma for three pairwise regular vertex sets).
Density is the number of ordered cross-edge incidences divided by the product of the set sizes (Edge counts and densities between nonempty vertex sets).
A pair is -regular when every nonempty subpair has the same density as the whole pair (-regular pairs and self-regular vertex sets).
Verification
By [L2], each cross-pair has density . Every nonempty subpair is also complete and has density , so each pair is -regular by [L3].
Every has all three required edges and therefore spans a triangle. Conversely, each ordered transversal triangle is one such product choice, giving exactly .
Substitution and into [L1] yields the same lower bound , so the bound is exact here.
Two complete pairs and one anticomplete pair produce exactly induced copies of
Statement
Let be disjoint nonempty vertex sets. If and are complete and is anticomplete, then exactly part-respecting labelled triples induce the path . All three cross-pairs are -regular.
Facts & Assumptions
Given: Three pure cross-pairs as in the Statement.
The induced counting lemma counts maps satisfying every prescribed edge and nonedge relation across regular pairs (Induced counting lemma: regular edge and nonedge pairs force many induced copies).
Complete and anticomplete pairs have density and , respectively (Edge counts and densities between nonempty vertex sets), and constant-density pure pairs are -regular (-regular pairs and self-regular vertex sets).
The graph has edges and nonedge (Empty and complete graphs, complete bipartite graphs, and the convention that and have vertices).
Verification
Every triple in the product has edges and nonedge . By [L3] it induces the labelled path .
Conversely every part-respecting labelled triple is one of these product choices, so their number is exactly .
The two complete pairs have density and the anticomplete pair density ; every nonempty subpair retains its density. Hence [L2] gives -regularity, making this the zero-error model of [L1].
Three pair densities equal to need not produce a single transversal triangle
Statement
There are three pairwise disjoint vertex sets for which every cross-density equals but no transversal triple spans a triangle.
Facts & Assumptions
Given: Three nonempty even-sized sets, each split equally into parts labelled and .
Cross-density is the proportion of possible cross-pairs that are edges (Edge counts and densities between nonempty vertex sets).
The triangle counting lemma requires regularity in addition to positive pair densities (Triangle counting lemma for three pairwise regular vertex sets).
Counterexample
Join to and to exactly when the endpoint labels agree, and join to exactly when their labels differ.
For each cross-pair and each vertex, exactly half the vertices on the other side are neighbours. Thus all three densities are by [L1].
Suppose, for contradiction, that is a transversal triangle. Its and edges force the three labels to satisfy , while its edge forces .
This contradiction shows that no transversal triangle exists. Therefore density alone does not imply the conclusion of [L2]; its regularity hypothesis carries real content.
Induced removal must permit adding edges as well as deleting them
Statement
For every there is an -vertex graph with an induced empty three-vertex graph that cannot be destroyed by edge deletions, although adding one edge destroys that induced copy.
Facts & Assumptions
Given: An integer .
Induced removal permits changing adjacencies in both directions (Induced graph removal lemma for a fixed graph).
The empty graph on three vertices has no edges (Empty and complete graphs, complete bipartite graphs, and the convention that and have vertices).
Labelled induced copies are injective maps preserving edges and nonedges (The induced-embedding count ).
Counterexample
Begin with , choose a triple , and delete exactly its three internal edges. By [L2] and [L3], induces the empty three-vertex graph.
It is the unique unlabelled empty triple: every triple other than contains a vertex outside , and that vertex is adjacent to both other vertices.
Deleting more edges never changes any of the three nonedges within into an edge, so the induced empty triple on survives every deletion-only operation.
Adding any one of the three missing edges within destroys this copy, and step 2.1 shows the resulting graph has no empty triple. Thus allowing additions, as [L1] does, is indispensable.
Sources
Standard references
Recommended treatments; not extraction sources.
- Y. Zhao, Graph Theory and Additive Combinatorics, Definition 2.1.1
- Y. Zhao, Graph Theory and Additive Combinatorics, sec. 2.1
- Y. Zhao, Graph Theory and Additive Combinatorics, Exercise 2.1.4
- Y. Zhao, Graph Theory and Additive Combinatorics, Definition 2.1.10
- Y. Zhao, Graph Theory and Additive Combinatorics, Theorem 2.2.1
- Y. Zhao, Graph Theory and Additive Combinatorics, Theorem 2.6.2 with Remark 2.6.3(b)
- Y. Zhao, Graph Theory and Additive Combinatorics, Theorem 2.2.1 and Remark 2.2.2
- D. Conlon and J. Fox, Graph removal lemmas, sec. 1