Partitions, their classes, and multicolour evenness

IF 0.5 2区 数学 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Journal of Mathematics and Music Pub Date : 2022-09-02 DOI:10.1080/17459737.2022.2124461
J. Douthett, P. Steinbach, R. Peck, R. Krantz
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引用次数: 1

Abstract

We extend the theory of maximally even sets to determine the evenness of partitions of the chromatic universe . Interactions measure the average evenness of colour sets (partitioning sets) of . For 2-colour partitions the Clough-Douthett maximal-evenness algorithm determines maximally even partitions. But to measure the evenness of non-maximally even partitions, it is necessary to use computational methods. Moreover, for more than two colour sets there is no simple algorithm that determines maximally even partitions. Again, we rely on computational methods. We also explore collections of partitions and partition-classes (orbits under a dihedral group) and construct tables that order partition-classes according to the evenness of their partitions. We use Bell numbers, Stirling numbers of the second kind, and integer partitions to enumerate relevant combinatorial objects related to our investigation.
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分区,它们的类别和多色均匀性
我们将极大偶集理论推广到确定色宇宙分区的均匀性。的颜色集(划分集)的平均均匀性。对于两色分区,Clough-Douthett最大均匀性算法确定最大均匀分区。但是为了测量非最大均匀分区的均匀性,有必要使用计算方法。此外,对于两个以上的颜色集,没有简单的算法来确定最大均匀划分。同样,我们依赖于计算方法。我们还研究了分区和分区类的集合(二面体群下的轨道),并构建了根据分区的均匀性对分区类排序的表。我们使用贝尔数、第二类斯特林数和整数分割来列举与我们的研究相关的相关组合对象。
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来源期刊
Journal of Mathematics and Music
Journal of Mathematics and Music 数学-数学跨学科应用
CiteScore
1.90
自引率
18.20%
发文量
18
审稿时长
>12 weeks
期刊介绍: Journal of Mathematics and Music aims to advance the use of mathematical modelling and computation in music theory. The Journal focuses on mathematical approaches to musical structures and processes, including mathematical investigations into music-theoretic or compositional issues as well as mathematically motivated analyses of musical works or performances. In consideration of the deep unsolved ontological and epistemological questions concerning knowledge about music, the Journal is open to a broad array of methodologies and topics, particularly those outside of established research fields such as acoustics, sound engineering, auditory perception, linguistics etc.
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