Alphabeta Math
LemmaStatement: Literature-sourcedProof: AI-adaptedSession-authored (Fable 5 assisted)precheck passaudited 2026-08-13
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.

Zykov symmetrisation turns an extremal clique-free graph into a complete multipartite graph without losing edges

Statement

Let r1, and let G have the maximum number of edges among the n-vertex Kr+1-free graphs. By repeatedly replacing a vertex by a nonadjacent twin of another vertex, without decreasing the edge count or creating Kr+1, one reaches a complete k-partite graph with kr and the same number of edges.

Facts & Assumptions

Given: The hypotheses and notation of the statement above.

[F1]

ex(n,H) is the maximum edge count of an n-vertex graph with no ordinary copy of H (Ordinary-subgraph extremal number ex(n,H), Turán graph Tn,r, and balanced blowup H[s]).

[F2]

The open neighbourhood is NG(v)={u:{u,v}E} and degG(v)=NG(v) (Adjacency, incidence, open and closed neighbourhoods, vertex degree, minimum degree and maximum degree).

[F3]

A clique is a vertex set in which every two distinct vertices are adjacent (Cliques, independent sets, clique number and independence number).

Proof

technique · Zykov duplication with a finite potential
1.1

Replacing u by a twin of a nonneighbor v creates no Kr+1: any new clique containing u becomes a clique after replacing u by v. Its edge-count change is d(v)d(u). Since G is extremal, nonadjacent vertices must have equal degrees, or duplicating the higher-degree one would increase the edge count. Thus every such replacement preserves extremality.

givenF1F2F3
2.1

Group vertices with equal open neighbourhoods into twin classes. If two nonadjacent vertices lie in different classes, duplicate every vertex of the smaller class into the larger class. Step 1.1 preserves the edge count, while the sum of the squares of twin-class sizes strictly increases. This integer is at most n2, so finitely many repetitions reach a graph in which nonadjacent vertices have equal neighbourhoods.

step 1.1
3.1

In the final graph, nonadjacency is transitive: if u is nonadjacent to v and v to w, then N(u)=N(v)=N(w), so u is nonadjacent to w. Its equivalence classes are independent sets, and every pair of distinct classes is completely joined. The graph is therefore complete multipartite. Choosing one vertex from each nonempty part gives a clique, so the number of parts is at most r.

step 2.1givenF2F3
4.1

Steps 1.1-3.1 give a terminating, edge-preserving symmetrisation from the extremal graph to the asserted complete multipartite graph.

step 1.1step 2.1step 3.1

Depends on

Used by

Dependency tree · next 3 levels

Direct dependencies and their dependencies through the next three levels: 31 results over 15 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