Variants of VC dimension and their applications to dynamics

TL;DR

This paper explores variants of the VC dimension, providing new bounds and proofs, and demonstrates their applications to dynamical systems, connecting combinatorics, communication complexity, and system dynamics.

Contribution

It introduces a new bound for a generalized VC dimension, extending extremal results, and refines a key lemma with a more concise proof, linking multiple mathematical fields.

Findings

Established a unified bound for generalized VC dimensions.

Strengthened a main theorem in dynamical systems using the new bound.

Connected VC dimension variants to combinatorics and communication complexity.

Abstract

Since its introduction by Vapnik and Chervonenkis in the 1960s, the VC dimension and its variants have played a central role in numerous fields. In this paper, we investigate several variants of the VC dimension and their applications to dynamical systems. First, we prove a new bound for a recently introduced generalization of VC dimension, which unifies and extends various extremal results on the VC, Natarajan, and Steele dimensions. This new bound allows us to strengthen one of the main theorems of Huang and Ye [Adv. Math., 2009] in dynamical systems. Second, we refine a key lemma of Huang and Ye related to a variant of VC dimension by providing a more concise and conceptual proof. We also highlight a surprising connection among this result, combinatorics, dynamical systems, and recent advances in communication complexity.