Homomesies on permutations -- an analysis of maps and statistics in the FindStat database

Fuente: arXiv
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Hauptverfasser: Elder, Jennifer, Lafrenière, Nadia, McNicholas, Erin, Striker, Jessica, Welch, Amanda
Format: Preprint
Veröffentlicht: 2022
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author Elder, Jennifer
Lafrenière, Nadia
McNicholas, Erin
Striker, Jessica
Welch, Amanda
author_facet Elder, Jennifer
Lafrenière, Nadia
McNicholas, Erin
Striker, Jessica
Welch, Amanda
contents In this paper, we perform a systematic study of permutation statistics and bijective maps on permutations in which we identify and prove 122 instances of the homomesy phenomenon. Homomesy occurs when the average value of a statistic is the same on each orbit of a given map. The maps we investigate include the Lehmer code rotation, the reverse, the complement, the Foata bijection, and the Kreweras complement. The statistics studied relate to familiar notions such as inversions, descents, and permutation patterns, and also more obscure constructs. Beside the many new homomesy results, we discuss our research method, in which we used SageMath to search the FindStat combinatorial statistics database to identify potential homomesies.
format Preprint
id arxiv_https___arxiv_org_abs_2206_13409
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Homomesies on permutations -- an analysis of maps and statistics in the FindStat database
Elder, Jennifer
Lafrenière, Nadia
McNicholas, Erin
Striker, Jessica
Welch, Amanda
Combinatorics
In this paper, we perform a systematic study of permutation statistics and bijective maps on permutations in which we identify and prove 122 instances of the homomesy phenomenon. Homomesy occurs when the average value of a statistic is the same on each orbit of a given map. The maps we investigate include the Lehmer code rotation, the reverse, the complement, the Foata bijection, and the Kreweras complement. The statistics studied relate to familiar notions such as inversions, descents, and permutation patterns, and also more obscure constructs. Beside the many new homomesy results, we discuss our research method, in which we used SageMath to search the FindStat combinatorial statistics database to identify potential homomesies.
title Homomesies on permutations -- an analysis of maps and statistics in the FindStat database
topic Combinatorics
url https://arxiv.org/abs/2206.13409