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Phys. Rev. E 51, 164–174 (1995)

Topological time-series analysis of a string experiment and its synchronized model

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Nicholas B. Tufillaro
Center for Nonlinear Studies and T13, MS-B258, Los Alamos National Laboratory, Los Alamos, New Mexico 87545

Peter Wyckoff
Department of Chemical Engineering, Massachusetts Institute of Technology, 16-311, Cambridge, Massachusetts 02139

Reggie Brown
Institute for Nonlinear Science, University of California, San Diego. Mail Code 0402, La Jolla, California 92093-0402

Thomas Schreiber
Physics Department, University of Wuppertal, D-42097 Wuppertal, Germany

Timothy Molteno
Department of Physics, University of Otago, Dunedin, New Zealand

Received 1 August 1994; published in the issue dated January 1995

We identify the template organizing the chaotic dynamics of a vibrating string and show how to estimate topological parameter values directly from an experimental time series. We call these data processing techniques ‘‘topological time-series analysis.’’ The chaotic motions of a vibrating string are shown to be governed by a dissipative horseshoe map whose periodic orbit spectrum is, at the topological level, well described by a unimodal map of the interval. In addition, close topological agreement is demonstrated between the experimental data and a synchronized model. The empirical model of the experimental data allows us to create ‘‘synthetic data.’’ Such synthetic data may enable finer characterization of the system than that determined from the seed data alone.

© 1995 The American Physical Society

URL:
http://link.aps.org/doi/10.1103/PhysRevE.51.164
DOI:
10.1103/PhysRevE.51.164
PACS:
05.45.+b, 47.52.+j