Multiplicative error set system sparsification: A simpler proof via chain length contraction

Fuente: arXiv
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Auteurs principaux: Brakensiek, Joshua, Guruswami, Venkatesan, Putterman, Aaron
Format: Preprint
Publié: 2026
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author Brakensiek, Joshua
Guruswami, Venkatesan
Putterman, Aaron
author_facet Brakensiek, Joshua
Guruswami, Venkatesan
Putterman, Aaron
contents The chain length of a set family $\mathcal{S} \subseteq 2^{[m]}$ is the largest ascending sequence of sets in containment order in the union-closure of $\mathcal S$. In this work, we provide a significantly simpler and more optimal characterization of the sparsifiability of set systems in terms of their chain length, improving on the work of Brakensiek and Guruswami [STOC 2025]. Our proof relies on a generalization of Karger's [SODA 1993] famous contraction algorithm and its recent linear algebraic extensions [Khanna-Putterman-Sudan SODA 2024], and our resulting bounds show that, just as VC dimension characterizes the \emph{additive sparsifiability} of a set system, chain length governs the \emph{multiplicative sparsifiability}. As a corollary, we obtain improved bounds for weighted CSP sparsification.
format Preprint
id arxiv_https___arxiv_org_abs_2605_01508
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Multiplicative error set system sparsification: A simpler proof via chain length contraction
Brakensiek, Joshua
Guruswami, Venkatesan
Putterman, Aaron
Combinatorics
The chain length of a set family $\mathcal{S} \subseteq 2^{[m]}$ is the largest ascending sequence of sets in containment order in the union-closure of $\mathcal S$. In this work, we provide a significantly simpler and more optimal characterization of the sparsifiability of set systems in terms of their chain length, improving on the work of Brakensiek and Guruswami [STOC 2025]. Our proof relies on a generalization of Karger's [SODA 1993] famous contraction algorithm and its recent linear algebraic extensions [Khanna-Putterman-Sudan SODA 2024], and our resulting bounds show that, just as VC dimension characterizes the \emph{additive sparsifiability} of a set system, chain length governs the \emph{multiplicative sparsifiability}. As a corollary, we obtain improved bounds for weighted CSP sparsification.
title Multiplicative error set system sparsification: A simpler proof via chain length contraction
topic Combinatorics
url https://arxiv.org/abs/2605.01508