Comparability-Graph Unions Can Have Chromatic Number k^d

For every positive d and k, the authors construct a union of d comparability graphs with clique number k and chromatic number k^d, extending the separation to fractional coloring and the independence ratio.

Editorial Desk·August 9, 2026·2 min readtheoretical

Underlying Paper

On the chromatic number of the union of comparability graphs

Resolving in a strong sense a problem of Gy\'arf\'as on the union of two perfect graphs, we prove that for every pair of positive integers $d$ and $k$, there is a graph $G$ with clique number $k$ and chromatic number $k^d$ that is the union of $d$ comparability graphs. We also show that the chromatic number can be replaced by the fractional chromatic number or $\frac{|V(G)|}{\alpha(G)}$.

arXiv:2606.09415Submitted: Aug 4, 2026v2

Comparability graphs are perfect, so each one individually has chromatic number equal to its clique number. This paper shows that the relationship can fail dramatically after taking an edge union. For every pair of positive integers dd and kk, the authors construct a graph GG that is the union of dd comparability graphs, has clique number kk, and has chromatic number kdk^d. The result resolves, in the strong sense stated by the authors, a problem of Gyárfás concerning unions of perfect graphs.

The distinction is structural: a coloring of the union must respect the edges from every comparability-graph layer at once. Thus, although each layer separately satisfies χ=ω\chi=\omega, their union can require many more colors than its clique number suggests.

Core Contribution

For every d,k1d,k\geq1, the main theorem gives a graph satisfying

ω(G)=kandχ(G)=kd,\omega(G)=k \qquad\text{and}\qquad \chi(G)=k^d,

where GG is the union of dd comparability graphs. The exponent is the number of layers, so the gap between clique number and chromatic number grows as more comparability-graph structures are combined.

Technical Approach

When all aim/2a_i\leq m/2, the proof bounds the probability that such a set is independent using pairwise products of the part sizes, followed by a union bound. It treats the complementary case, in which one part contains more than m/2m/2 vertices of AA, separately. The displayed calculation introduces a parameter Λ\Lambda and chooses it so that θ=e2h22Λ<1\theta=e^2h2^{2-\Lambda}<1, making the resulting series converge.

For sufficiently large mm, this argument shows that the random graph has no independent set larger than mm with probability tending to one. Since each vertex class is independent, the construction has α(G)=m\alpha(G)=m. The proof also establishes positive probability that the graph simultaneously has girth greater than gg and independence number mm.

Results and Analysis

This is a general mathematical result rather than an empirical evaluation: it applies to every positive pair (d,k)(d,k). The fractional-chromatic and independence-ratio versions strengthen the conclusion beyond ordinary chromatic number alone.

For graph theorists studying colorings of graph unions and subclasses of perfect graphs, the theorem demonstrates that perfection-style chromatic bounds do not transfer directly through edge unions. The result is an existence theorem supported by a combinatorial and probabilistic proof.

Evidence Box

theoretical

Key Claims

  • For every positive d and k, there is a union of d comparability graphs with clique number k and chromatic number k^d
  • The conclusion also holds with chromatic number replaced by fractional chromatic number
  • The conclusion also holds with chromatic number replaced by the independence ratio |V(G)|/α(G)

Key Results

  • For every positive d and k, ω(G)=k and χ(G)=k^d
  • The probabilistic auxiliary construction has α(G)=m for sufficiently large m
  • The auxiliary construction can simultaneously have girth greater than g and α(G)=m with positive probability

Limitations & Caveats

  • The result is an existence theorem
  • The probabilistic argument uses sufficiently large auxiliary parameters
  • The theorem concerns unions of comparability graphs

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Readers are encouraged to consult the original arXiv paper for complete details. SOTA Papers does not make claims beyond what is supported by the authors' reported evidence.