Maximum Shattering

ABSTRACT A family of subsets of shatters a set if for every , there is an such that . We develop a framework to analyze , the maximum possible number of subsets of of size that can be shattered by a family of size . Among other results, we determine exactly for and show that if and grow, with both and tending to infinity, then for any satisfying , we have , where , roughly 0.289, is the probability that a large square matrix over is invertible. This latter result extends work of Das and Mészáros. As an application, we improve bounds for the existence of covering arrays for certain alphabet sizes.

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Publication Details

Journal
Journal of Combinatorial Designs
Published
2025-08-29
DOI
https://doi.org/10.1002/jcd.22005
Primary Topic
Computational Geometry and Mesh Generation
Type
article
Field-Weighted Citation Impact
0.00

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article

Maximum Shattering

Daniel G. Zhu, Varun Sivashankar, Noga Alon
Journal of Combinatorial Designs
Computational Geometry and Mesh Generation
article

Maximum Shattering

Daniel G. Zhu, Varun Sivashankar, Noga Alon
article en

Abstract

ABSTRACT A family of subsets of shatters a set if for every , there is an such that . We develop a framework to analyze , the maximum possible number of subsets of of size that can be shattered by a family of size . Among other results, we determine exactly for and show that if and grow, with both and tending to infinity, then for any satisfying , we have , where , roughly 0.289, is the probability that a large square matrix over is invertible. This latter result extends work of Das and Mészáros. As an application, we improve bounds for the existence of covering arrays for certain alphabet sizes.

Journal of Combinatorial DesignsVol. 33(12)
Princeton University (US)
National Science Foundation
Openalex Percentile: Top 59%
Computational Geometry and Mesh Generation
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Maximum Shattering — Daniel G. Zhu, Varun Sivashankar, et al. · Journal of Combinatorial Designs (2025) | TGRS Research Map | TGRS