The crossing number of complete bipartite graphs

OpenAI

For all positive integers m and n, the ordinary crossing number of the complete bipartite graph Kₘ,ₙ equals ⌊m/2⌋⌊(m−1)/2⌋⌊n/2⌋⌊(n−1)/2⌋ for plane drawings with continuous simple edge paths.

Sources for this record

What was already known

The classical drawing gave this upper bound, but its original optimality proof had a gap. The formula was proved when one part has at most six vertices; earlier published general claims have not been adjudicated here.

AI involvement AI-led

OpenAI credits its internal model with the manuscript and Lean work. Item-specific autonomy is not documented.

The internal-model release and institutional OpenAI authorship support model leadership, while item-specific autonomy is unproved.

Importance Major

Claims the exact all-size bipartite crossing number and a drawing that attains it.

Limitations

The Lean statement counts spatial crossing points and repeated crossings of an edge pair separately. Its match to every classical drawing convention has not been independently established; earlier priority claims remain unresolved.

Technical verification Formal (Lean 4 formal development with BipartiteCrossing Comparator)

The released scope note states the full K_{m,n} crossing formula for continuous simple edge paths and links a bipartite Comparator statement; the Lean main theorem exposes the equality and drawing attainment. The formal development is source-reported; the correspondence with every informal drawing convention is not documented.

Formal checking

For all positive m,n, ordinary crossing number of K_{m,n} equals the Zarankiewicz product, with a matching drawing. Formal equality and attainment theorem with scope note and Comparator target

Checker
Lean 4 formal development in the OpenAI math release
Scope
For all positive m,n, ordinary crossing number of K_{m,n} equals the Zarankiewicz product, with a matching drawing
Basis
Reported by the linked checker
Evidence source

Checking a formal statement does not establish that it matches the original problem.

Human understanding Few

No named human explanation of the central universal lower-bound mechanism was found in the released release; Few is the evidence default.

Correction and publication history