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International Conference on Mathematics and Computation in Music

MCM 2011: Mathematics and Computation in Music pp 358–361Cite as

Catastrophe Theory: An Enhanced Structural and Ontological Space in Music Composition

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6726))

Abstract

The application of catastrophe theory in music composition offers a solid conceptual frame for handling discontinuity, resulting to an enhancement of the structural space, by converting the music work into a dynamical system. In this frame, the structural stability of the form is put under strain by forces as multiple attractors, consequently enlarging the ontological space of the work to contain indeterminist, de-autocorrelative and deconstructive aspects. A case study is briefly discussed.

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References

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Author information

Authors and Affiliations

  1. Dept. of Music, Ionian University, Corfu, Greece

    Fani Kosona

  2. Dept. of Electrical & Computer Engineering, Aristotle University of Thessaloniki, Greece

    Leontios Hadjileontiadis

  3. State Conservatory of Thessaloniki, Greece

    Leontios Hadjileontiadis

Authors
  1. Fani Kosona
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  2. Leontios Hadjileontiadis
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Editor information

Editors and Affiliations

  1. UMR STMS: IRCAM/CNRS/UPMC, 1, place I. Stravinsky, 75004, Paris, France

    Carlos Agon , Moreno Andreatta , Gérard Assayag  & Jean Bresson , ,  & 

  2. 1, rue du Centre, 66570, St. Nazaire, France

    Emmanuel Amiot

  3. Dipartimento di Matematica “L. Tonelli”, Università di Pisa, Largo Bruno Pontecorvo 5, 56127, Pisa, Italy

    John Mandereau

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© 2011 Springer-Verlag Berlin Heidelberg

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Kosona, F., Hadjileontiadis, L. (2011). Catastrophe Theory: An Enhanced Structural and Ontological Space in Music Composition. In: Agon, C., Andreatta, M., Assayag, G., Amiot, E., Bresson, J., Mandereau, J. (eds) Mathematics and Computation in Music. MCM 2011. Lecture Notes in Computer Science(), vol 6726. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21590-2_33

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  • DOI: https://doi.org/10.1007/978-3-642-21590-2_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21589-6

  • Online ISBN: 978-3-642-21590-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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