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Discrete Mathematics & Theoretical Computer Science
Article . 2020 . Peer-reviewed
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Conference object . 2020
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Noncrossing partitions, toggles, and homomesy

Authors: David Einstein; Miriam Farber; Emily Gunawan; Michael Joseph; Matthew Macauley; James Propp; Simon Rubinstein-Salzedo;

Noncrossing partitions, toggles, and homomesy

Abstract

We introduce n(n − 1)/2 natural involutions (“toggles”) on the set S of noncrossing partitions π of size n, along with certain composite operations obtained by composing these involutions. We show that for many operations T of this kind, a surprisingly large family of functions f on S (including the function that sends π to the number of blocks of π) exhibits the homomesy phenomenon: the average of f over the elements of a T -orbit is the same for all T -orbits. Our methods apply more broadly to toggle operations on independent sets of certain graphs.

Keywords

[MATH.MATH-CO] Mathematics [math]/Combinatorics [math.CO], [MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO], QA1-939, [math.math-co]mathematics [math]/combinatorics [math.co], Mathematics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
Published in a Diamond OA journal