Triangular partitions: Enumeration, structure, and generation

IF 1 3区 数学 Q3 MATHEMATICS, APPLIED Advances in Applied Mathematics Pub Date : 2024-11-16 DOI:10.1016/j.aam.2024.102807
Sergi Elizalde , Alejandro B. Galván
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Abstract

A triangular partition is a partition whose Ferrers diagram can be separated from its complement (as a subset of N2) by a straight line. Having their origins in combinatorial number theory and computer vision, triangular partitions have been studied from a combinatorial perspective by Onn and Sturmfels, and by Corteel et al. under the name plane corner cuts, and more recently by Bergeron and Mazin in the context of algebraic combinatorics. In this paper we derive new enumerative, geometric and algorithmic properties of such partitions.
We give a new characterization of triangular partitions and the cells that can be added or removed while preserving the triangular condition, and use it to describe the Möbius function of the restriction of Young's lattice to triangular partitions. We obtain a formula for the number of triangular partitions whose Young diagram fits inside a square, deriving, as a byproduct, a new proof of Lipatov's enumeration theorem for balanced words. Finally, we present an algorithm that generates all the triangular partitions of a given size, which is significantly more efficient than previous ones and allows us to compute the number of triangular partitions of size up to 105.
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三角形分区:枚举、结构和生成
三角形分区是指费里尔斯图与其补集(作为 N2 的子集)可以用一条直线分开的分区。三角分区起源于组合数论和计算机视觉,Onn 和 Sturmfels、Corteel 等人从组合的角度对其进行了研究,并将其命名为平面角切,最近 Bergeron 和 Mazin 又在代数组合学的背景下对其进行了研究。我们给出了三角形分区的新特征,以及在保留三角形条件下可以添加或删除的单元格,并用它来描述杨氏网格对三角形分区的限制的莫比乌斯函数。我们得到了杨格适合正方形的三角形分区的数量公式,并由此得出了李帕托夫平衡词枚举定理的新证明。最后,我们提出了一种生成给定大小的所有三角形分区的算法,这种算法比以前的算法效率要高得多,可以计算出最多 105 个大小的三角形分区的数目。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Advances in Applied Mathematics
Advances in Applied Mathematics 数学-应用数学
CiteScore
2.00
自引率
9.10%
发文量
88
审稿时长
85 days
期刊介绍: Interdisciplinary in its coverage, Advances in Applied Mathematics is dedicated to the publication of original and survey articles on rigorous methods and results in applied mathematics. The journal features articles on discrete mathematics, discrete probability theory, theoretical statistics, mathematical biology and bioinformatics, applied commutative algebra and algebraic geometry, convexity theory, experimental mathematics, theoretical computer science, and other areas. Emphasizing papers that represent a substantial mathematical advance in their field, the journal is an excellent source of current information for mathematicians, computer scientists, applied mathematicians, physicists, statisticians, and biologists. Over the past ten years, Advances in Applied Mathematics has published research papers written by many of the foremost mathematicians of our time.
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