The Erdős Unit Distance Problem for Small Point Sets

We improve the best known upper bound on the number of edges in a unit-distance graph on n vertices for each n ∈ {16, … , 30}. When n ≤ 21, our bounds match the best known lower bounds, and we fully enumerate the densest unit-distance graphs in these cases. On the combinatorial side, our principal technique is to more efficiently generate ℱ -free graphs for a set of forbidden subgraphs ℱ . On the algebraic side, we are able to determine programmatically whether many graphs are unit-distance, using a custom embedder that is more efficient in practice than tools such as cylindrical algebraic decomposition.

Authors

Institutions

Publication Details

Journal
Studia Scientiarum Mathematicarum Hungarica
Published
2026-11-11
DOI
https://doi.org/10.1556/012.2026.04350
Citations
3
Primary Topic
Limits and Structures in Graph Theory
Type
article
Field-Weighted Citation Impact
3.77

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

The Erdős Unit Distance Problem for Small Point Sets

Dustin G. Mixon, Hans Parshall
3 citations
Studia Scientiarum Mathematicarum Hungarica
Limits and Structures in Graph Theory
3.77
article

The Erdős Unit Distance Problem for Small Point Sets

Dustin G. Mixon, Hans Parshall
article en
3 citations

Abstract

We improve the best known upper bound on the number of edges in a unit-distance graph on n vertices for each n ∈ {16, … , 30}. When n ≤ 21, our bounds match the best known lower bounds, and we fully enumerate the densest unit-distance graphs in these cases. On the combinatorial side, our principal technique is to more efficiently generate ℱ -free graphs for a set of forbidden subgraphs ℱ . On the algebraic side, we are able to determine programmatically whether many graphs are unit-distance, using a custom embedder that is more efficient in practice than tools such as cylindrical algebraic decomposition.

Studia Scientiarum Mathematicarum HungaricaVol. 63(3)
The Ohio State University (US)
National Science Foundation, Air Force Office of Scientific Research
Openalex Percentile: Top 11%
Limits and Structures in Graph Theory
3.77
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon