The distance geometry of music
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Demaine-2009-The distance geometr.pdf
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Author(s) • • • • • • •
Demaine, Erik D.
Gomez-Martin, Francisco
Meijer, Henk
Rappaport, David
Taslakian, Perouz
Winograd, Terry
Wood, David R.
Toussaint, Godfried
Date Issued
December 2008
Journal
Computational Geometry
Publisher
Elsevier
Citation
Demaine, Erik D., Francisco Gomez-Martin, Henk Meijer, David Rappaport, Perouz Taslakian, Godfried T. Toussaint, Terry Winograd, and David R. Wood. “The Distance Geometry of Music.” Computational Geometry 42, no. 5 (July 2009): 429–454. © 2009 Elsevier B.V.
Version
Final published version
Abstract
We demonstrate relationships between the classic Euclidean algorithm and many other fields of study, particularly in the context of music and distance geometry. Specifically, we show how the structure of the Euclidean algorithm defines a family of rhythms which encompass over forty timelines (ostinatos) from traditional world music. We prove that these Euclidean rhythms have the mathematical property that their onset patterns are distributed as evenly as possible: they maximize the sum of the Euclidean distances between all pairs of onsets, viewing onsets as points on a circle. Indeed, Euclidean rhythms are the unique rhythms that maximize this notion of evenness. We also show that essentially all Euclidean rhythms are deep : each distinct distance between onsets occurs with a unique multiplicity, and these multiplicities form an interval 1,2,…,k−11,2,…,k−1. Finally, we characterize all deep rhythms, showing that they form a subclass of generated rhythms, which in turn proves a useful property called shelling. All of our results for musical rhythms apply equally well to musical scales. In addition, many of the problems we explore are interesting in their own right as distance geometry problems on the circle; some of the same problems were explored by Erdős in the plane.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1016/j.comgeo.2008.04.005