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A Colorful Extension of VC-dimension and Geometric Applications

Combinatorics 2026-07-11 v1 Computational Geometry

Abstract

The VC-dimension is a fundamental measure of the complexity of a set system. In this paper, we introduce and study a colorful variant of VC-dimension that captures the behavior of set systems on colored ground sets. By studying this new notion, we obtain a variety of geometric results. First, we prove that separable abstract convexity spaces with Radon number DD admit a Tverberg theorem with Tverberg number O(D2rlogr)O(D^2 r \log r). This bound significantly improves the O(Dr2logr)O(Dr^2\log r) bound of Alon and Smorodinsky from SODA'26 and is the first quasi-linear bound in rr, in which the dependence on DD is not super-exponential. Second, we prove the first colorful kk-wise Tverberg theorem for separable abstract convexity spaces. Using this theorem, we obtain a colorful selection lemma with O(D3)O(D^3) colors, an uncolored selection lemma for subsets of size O(D3)O(D^3), a weak ε\varepsilon-net theorem with nets of size OD(εO(D3))O_D(\varepsilon^{-O(D^3)}), and a (p,q)(p,q)-theorem with exponent of poly(D)\mathrm{poly}(D). All these quantitative bounds are significantly better than the best previously known general bounds for abstract convexity spaces. Finally, we extend our method to obtain a colorful Tverberg theorem for unions of convex sets, generalizing the uncolored theorem of Alon and Smorodinsky (SODA'26).

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Cite

@article{arxiv.2607.10496,
  title  = {A Colorful Extension of VC-dimension and Geometric Applications},
  author = {Chaya Keller and Shakhar Smorodinsky},
  journal= {arXiv preprint arXiv:2607.10496},
  year   = {2026}
}

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22 pages