Trees and Graphs with Non Log-concave Dominating Set Sequence via AI Tools

Fuente: arXiv
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Autores principales: Du, Alina, Heilman, Steven, Panova, Greta
Formato: Preprint
Publicado: 2026
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author Du, Alina
Heilman, Steven
Panova, Greta
author_facet Du, Alina
Heilman, Steven
Panova, Greta
contents We give new examples of graphs and trees with dominating set sequences that are not log-concave. These examples were generated by PatternBoost, a transformer-based reinforcement learning software developed by Charton-Ellenberg-Wagner-Williamson. We also show: for any positive integer $m$, there exists a tree whose dominating set sequence is not log-concave for at least $m$ indices by modifying a similar construction of Bautista-Ramos for the independent set sequence. We show that a large class of caterpillar graphs has log-concave dominating set sequences. A continuous analogue of the sequence is also log-concave for all graphs.
format Preprint
id arxiv_https___arxiv_org_abs_2605_02193
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Trees and Graphs with Non Log-concave Dominating Set Sequence via AI Tools
Du, Alina
Heilman, Steven
Panova, Greta
Combinatorics
Artificial Intelligence
Discrete Mathematics
Machine Learning
We give new examples of graphs and trees with dominating set sequences that are not log-concave. These examples were generated by PatternBoost, a transformer-based reinforcement learning software developed by Charton-Ellenberg-Wagner-Williamson. We also show: for any positive integer $m$, there exists a tree whose dominating set sequence is not log-concave for at least $m$ indices by modifying a similar construction of Bautista-Ramos for the independent set sequence. We show that a large class of caterpillar graphs has log-concave dominating set sequences. A continuous analogue of the sequence is also log-concave for all graphs.
title Trees and Graphs with Non Log-concave Dominating Set Sequence via AI Tools
topic Combinatorics
Artificial Intelligence
Discrete Mathematics
Machine Learning
url https://arxiv.org/abs/2605.02193