Separating hypergraph Turán densities

Abstract Determining the Turán densities of hypergraphs is a notoriously difficult problem at the core of combinatorics. Although Turán posed this problem in 1941, the value of remains unknown for all . Prior to this work, it was not even known whether holds for general and , and the best‐known bounds on are far from implying anything close to this. We prove that , for all , and provide general criteria to distinguish the Turán densities of two hypergraphs. As a corollary, we also obtain that , for all . For , this was previously proved by Markström, answering a question by Erdős.

Authors

Institutions

Publication Details

Journal
Bulletin of the London Mathematical Society
Published
2025-09-24
DOI
https://doi.org/10.1112/blms.70195
Primary Topic
Limits and Structures in Graph Theory
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Separating hypergraph Turán densities

Shuaichao Wang, Bjarne Schülke, Haotian Yang, Hong Liu et al.
Bulletin of the London Mathematical Society
Limits and Structures in Graph Theory
article

Separating hypergraph Turán densities

Shuaichao Wang, Bjarne Schülke, Haotian Yang, Hong Liu, Yixiao Zhang
article en

Abstract

Abstract Determining the Turán densities of hypergraphs is a notoriously difficult problem at the core of combinatorics. Although Turán posed this problem in 1941, the value of remains unknown for all . Prior to this work, it was not even known whether holds for general and , and the best‐known bounds on are far from implying anything close to this. We prove that , for all , and provide general criteria to distinguish the Turán densities of two hypergraphs. As a corollary, we also obtain that , for all . For , this was previously proved by Markström, answering a question by Erdős.

Bulletin of the London Mathematical SocietyVol. 58(1)
California Institute of Technology (US), Nankai University (CN), Institute for Basic Science (KR), Laboratoire de physique de la matière condensée (FR), Fuzhou University (CN)
Openalex Percentile: Top 67%
Limits and Structures in Graph Theory
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.