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Automated Discharging Arguments for Density Problems in Grids

2 Pith papers cite this work. Polarity classification is still indexing.

2 Pith papers citing it
abstract

Discharging arguments demonstrate a connection between local structure and global averages. This makes it an effective tool for proving lower bounds on the density of special sets in infinite grids. However, the minimum density of an identifying code in the hexagonal grid remains open, with an upper bound of $\frac{3}{7} \approx 0.428571$ and a lower bound of $\frac{5}{12}\approx 0.416666$. We present a new, experimental framework for producing discharging arguments using an algorithm. This algorithm replaces the lengthy case analysis of human-written discharging arguments with a linear program that produces the best possible lower bound using the specified set of discharging rules. We use this framework to present a lower bound of $\frac{23}{55} \approx 0.418181$ on the density of an identifying code in the hexagonal grid, and also find several sharp lower bounds for variations on identifying codes in the hexagonal, square, and triangular grids.

years

2024 1 2023 1

verdicts

UNVERDICTED 2

representative citing papers

On Iiro Honkala's contributions to identifying codes

cs.DM · 2024-02-13 · unverdicted · novelty 1.0

The paper surveys Iiro Honkala's contributions to identifying codes across complexity, combinatorics, grids, graph parameters, structural properties, and optimal code counts.

citing papers explorer

Showing 2 of 2 citing papers.

  • Finding codes on infinite grids automatically math.CO · 2023-03-01 · unverdicted · none · ref 24 · internal anchor

    New upper bound of 53/126 for the minimum density of identifying codes on the infinite hexagonal grid.

  • On Iiro Honkala's contributions to identifying codes cs.DM · 2024-02-13 · unverdicted · none · ref 62 · internal anchor

    The paper surveys Iiro Honkala's contributions to identifying codes across complexity, combinatorics, grids, graph parameters, structural properties, and optimal code counts.