Improving Pinwheel Density Bounds for Small Minimums

Fuente: arXiv
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Main Authors: Mishra, Ahan, Rho, Parker, Kleinberg, Robert
Format: Preprint
Published: 2025
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author Mishra, Ahan
Rho, Parker
Kleinberg, Robert
author_facet Mishra, Ahan
Rho, Parker
Kleinberg, Robert
contents The density bound for schedulability for general pinwheel instances is $\frac{5}{6}$, but density bounds better than $\frac{5}{6}$ can be shown for cases in which the minimum element $m$ of the instance is large. Several recent works have studied the question of the 'density gap' as a function of $m$, with best known lower and upper bounds of $O \left( \frac{1}{m} \right)$ and $O \left( \frac{1}{\sqrt{m}} \right)$. We prove a density bound of $0.84$ for $m = 4$, the first $m$ for which a bound strictly better than $\frac{5}{6} = 0.8\overline{3}$ can be proven. In doing so, we develop new techniques, particularly a fast heuristic-based pinwheel solver and an unfolding operation.
format Preprint
id arxiv_https___arxiv_org_abs_2508_18422
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Improving Pinwheel Density Bounds for Small Minimums
Mishra, Ahan
Rho, Parker
Kleinberg, Robert
Data Structures and Algorithms
The density bound for schedulability for general pinwheel instances is $\frac{5}{6}$, but density bounds better than $\frac{5}{6}$ can be shown for cases in which the minimum element $m$ of the instance is large. Several recent works have studied the question of the 'density gap' as a function of $m$, with best known lower and upper bounds of $O \left( \frac{1}{m} \right)$ and $O \left( \frac{1}{\sqrt{m}} \right)$. We prove a density bound of $0.84$ for $m = 4$, the first $m$ for which a bound strictly better than $\frac{5}{6} = 0.8\overline{3}$ can be proven. In doing so, we develop new techniques, particularly a fast heuristic-based pinwheel solver and an unfolding operation.
title Improving Pinwheel Density Bounds for Small Minimums
topic Data Structures and Algorithms
url https://arxiv.org/abs/2508.18422