Authors:
- Applies concepts and methods to the concrete making of time in composition and performance
- A new mathematically explicit, precise theory of time in music
- First work of its kind
Part of the book series: Computational Music Science (CMS)
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Table of contents (17 chapters)
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Front Matter
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Ontological Orientation
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Front Matter
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General Time Concepts
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Front Matter
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Musical Time Concepts
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Front Matter
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New Developments on Musical Time Concepts
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Front Matter
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About this book
This book is a comprehensive examination of the conception, perception, performance, and composition of time in music across time and culture. It surveys the literature of time in mathematics, philosophy, psychology, music theory, and somatic studies (medicine and disability studies) and looks ahead through original research in performance, composition, psychology, and education. It is the first monograph solely devoted to the theory of construction of musical time since Kramer in 1988, with new insights, mathematical precision, and an expansive global and historical context.
The mathematical methods applied for the construction of musical time are totally new. They relate to category theory (projective limits) and the mathematical theory of gestures. These methods and results extend the music theory of time but also apply to the applied performative understanding of making music. In addition, it is the very first approach to a constructive theory of time, deduced from the recent theory of musical gestures and their categories.
Making Musical Time is intended for a wide audience of scholars with interest in music. These include mathematicians, music theorists, (ethno)musicologists, music psychologists / educators / therapists, music performers, philosophers of music, audiologists, and acousticians.
Authors and Affiliations
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School of Music, University of Minnesota, Minneapolis, USA
Guerino Mazzola, Alex Lubet, Yan Pang, Jordon Goebel, Christopher Rochester, Sangeeta Dey
Bibliographic Information
Book Title: Making Musical Time
Authors: Guerino Mazzola, Alex Lubet, Yan Pang, Jordon Goebel, Christopher Rochester, Sangeeta Dey
Series Title: Computational Music Science
DOI: https://doi.org/10.1007/978-3-030-85629-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-85628-1Published: 16 November 2021
Softcover ISBN: 978-3-030-85631-1Published: 17 November 2022
eBook ISBN: 978-3-030-85629-8Published: 15 November 2021
Series ISSN: 1868-0305
Series E-ISSN: 1868-0313
Edition Number: 1
Number of Pages: XIII, 265
Number of Illustrations: 60 b/w illustrations, 40 illustrations in colour
Topics: Category Theory, Homological Algebra, Mathematics Education