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Erschienen in: Mathematics in Computer Science 1/2022

01.03.2022

A Decomposition of Column-Convex Polyominoes and Two Vertex Statistics

verfasst von: Nenad Cakić, Toufik Mansour, Gökhan Yıldırım

Erschienen in: Mathematics in Computer Science | Ausgabe 1/2022

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Abstract

We introduce a decomposition method for column-convex polyominoes and enumerate them in terms of two statistics: the number of internal vertices and the number of corners in the boundary. We first find the generating function for the column-convex polyominoes according to the horizontal and vertical half-perimeter, and the number of interior vertices. In particular, we show that the average number of interior vertices over all column-convex polyominoes of perimeter 2n is asymptotic to \(\alpha _o n^{3/2}\) where \(\alpha _o\approx 0.57895563\ldots .\) We also find the generating function for the column-convex polyominoes according to the horizontal and vertical half-perimeter, and the number of corners in the boundary. In particular, we show that the average number of corners over all column-convex polyominoes of perimeter 2n is asymptotic to \(\alpha _1n\) where \(\alpha _1\approx 1.17157287\ldots .\)

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Metadaten
Titel
A Decomposition of Column-Convex Polyominoes and Two Vertex Statistics
verfasst von
Nenad Cakić
Toufik Mansour
Gökhan Yıldırım
Publikationsdatum
01.03.2022
Verlag
Springer International Publishing
Erschienen in
Mathematics in Computer Science / Ausgabe 1/2022
Print ISSN: 1661-8270
Elektronische ISSN: 1661-8289
DOI
https://doi.org/10.1007/s11786-022-00528-5

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