A Colorful Extension of VC-dimension and Geometric Applications
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 admit a Tverberg theorem with Tverberg number . This bound significantly improves the bound of Alon and Smorodinsky from SODA'26 and is the first quasi-linear bound in , in which the dependence on is not super-exponential. Second, we prove the first colorful -wise Tverberg theorem for separable abstract convexity spaces. Using this theorem, we obtain a colorful selection lemma with colors, an uncolored selection lemma for subsets of size , a weak -net theorem with nets of size , and a -theorem with exponent of . 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).
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}
}
Comments
22 pages