Variants of VC dimension and their applications to dynamics

Fuente: arXiv
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Auteurs principaux: Gao, Guorong, Ma, Jie, Rong, Mingyuan, Tran, Tuan
Format: Preprint
Publié: 2023
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author Gao, Guorong
Ma, Jie
Rong, Mingyuan
Tran, Tuan
author_facet Gao, Guorong
Ma, Jie
Rong, Mingyuan
Tran, Tuan
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2310_05353
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Variants of VC dimension and their applications to dynamics
Gao, Guorong
Ma, Jie
Rong, Mingyuan
Tran, Tuan
Combinatorics
Computational Complexity
Dynamical Systems
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.
title Variants of VC dimension and their applications to dynamics
topic Combinatorics
Computational Complexity
Dynamical Systems
url https://arxiv.org/abs/2310.05353