Extremal, enumerative and probabilistic results on ordered hypergraph matchings

Abstract An ordered r-matching is an r -uniform hypergraph matching equipped with an ordering on its vertices. These objects can be viewed as natural generalisations of r-dimensional orders . The theory of ordered 2-matchings is well developed and has connections and applications to extremal and enumerative combinatorics, probability and geometry. On the other hand, in the case $r \ge 3$ much less is known, largely due to a lack of powerful bijective tools. Recently, Dudek, Grytczuk and Ruciński made some first steps towards a general theory of ordered r -matchings, and in this paper we substantially improve several of their results and introduce some new directions of study. Many intriguing open questions remain.

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Publication Details

Journal
Forum of Mathematics Sigma
Published
2025-01-01
DOI
https://doi.org/10.1017/fms.2024.144
Primary Topic
Random Matrices and Applications
Type
article
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0.00
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article

Extremal, enumerative and probabilistic results on ordered hypergraph matchings

Michael Anastos, Zhihan Jin, Matthew Kwan, Benny Sudakov
Forum of Mathematics Sigma
Random Matrices and Applications
article

Extremal, enumerative and probabilistic results on ordered hypergraph matchings

Michael Anastos, Zhihan Jin, Matthew Kwan, Benny Sudakov
article en

Abstract

Abstract An ordered r-matching is an r -uniform hypergraph matching equipped with an ordering on its vertices. These objects can be viewed as natural generalisations of r-dimensional orders . The theory of ordered 2-matchings is well developed and has connections and applications to extremal and enumerative combinatorics, probability and geometry. On the other hand, in the case $r \ge 3$ much less is known, largely due to a lack of powerful bijective tools. Recently, Dudek, Grytczuk and Ruciński made some first steps towards a general theory of ordered r -matchings, and in this paper we substantially improve several of their results and introduce some new directions of study. Many intriguing open questions remain.

Forum of Mathematics SigmaVol. 13
Openalex Percentile: Top 95%
Random Matrices and Applications
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