Multirhythmicity but no deterministic chaos in vibrating strings
Damjan Osrajnik,
Vladimir Grubelnik and
Robert Repnik
Chaos, Solitons & Fractals, 2021, vol. 150, issue C
Abstract:
The determination of properties of nonlinear dynamics from recorded time series offers fascinating insights into everyday phenomena that can be explored in the lab as well as in physics classrooms. A noteworthy challenge thereby is the distinction between multirhythmic signals, i.e., time series with many but still a finite number of harmonic frequencies, and deterministically chaotic signals. Especially if the signals are relatively short and decaying in intensity, both can have very similar continuous Fourier transforms. We show that stringed instruments offer easily accessible waveforms that can be studied with methods of nonlinear time series analysis to demonstrate that even highly multirhythmic signals can be robustly distinguished from deterministic chaos. In particular, we study the transition from sounds to chords by means of recordings of picked guitar strings, showing how the increasing complexity of the waveforms is still in fact periodic although it might seem chaotic. The treatment is instructive in terms of identifying common pitfalls that are associated with declaring deterministic chaos in observed data, and since it relies on readily available resources, it seems particularly well suited for the classroom on nonlinear dynamics and time series analysis.
Keywords: Multirhythmicity; Nonlinear dynamics; Chaos; Times series analysis; Stringed instrument (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077921005609
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:150:y:2021:i:c:s0960077921005609
DOI: 10.1016/j.chaos.2021.111206
Access Statistics for this article
Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros
More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().