Renormalization-group approach to ordered phases in music

IF 2.4 3区 物理与天体物理 Q1 Mathematics
Ryan Buechele, Jesse Berezovsky
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引用次数: 0

Abstract

The organization of disordered sounds into the ordered structures of music can be understood through an analogy to the emergent ordering of physical systems undergoing phase transitions. This work builds off a prior mean-field model for pitch in music [J. Berezovsky, Sci. Adv. 5, eaav8490 (2019)] by using renormalization-group techniques to study the effects of dimensionality and local correlations. We corroborate the results of the mean-field model by showing convergence of the phase diagram as lattice dimension is increased, while also uncovering new phases which the mean-field model does not reveal. We also compute the nearest-neighbor correlations and provide comparisons to the mean-field model, as well as historical tuning systems used by different groups of musicians. The new phases and resulting correlations revealed in this work suggest a number of possible avenues for further exploration, including generating new music using the pitch distributions suggested by the model.

Abstract Image

用重正化群方法研究音乐中的有序相
无序的声音组织成音乐的有序结构,可以通过类比经历相变的物理系统的突发有序来理解。这项工作以先前的音乐音高均场模型为基础[J. Berezovsky, Sci. Adv. 5, eaav8490 (2019)],利用重正化群技术研究了维度和局部相关性的影响。我们证实了均场模型的结果,显示了相图随着晶格维度的增加而收敛,同时也发现了均场模型没有揭示的新相。我们还计算了近邻相关性,并提供了与均场模型以及不同音乐家群体使用的历史调谐系统的比较。这项工作揭示的新阶段和由此产生的相关性为进一步探索提供了许多可能的途径,包括使用模型建议的音高分布生成新的音乐。
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来源期刊
Physical review. E
Physical review. E 物理-物理:流体与等离子体
CiteScore
4.60
自引率
16.70%
发文量
0
审稿时长
3.3 months
期刊介绍: Physical Review E (PRE), broad and interdisciplinary in scope, focuses on collective phenomena of many-body systems, with statistical physics and nonlinear dynamics as the central themes of the journal. Physical Review E publishes recent developments in biological and soft matter physics including granular materials, colloids, complex fluids, liquid crystals, and polymers. The journal covers fluid dynamics and plasma physics and includes sections on computational and interdisciplinary physics, for example, complex networks.
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