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Synchronization of chaotic systems: A microscopic description
Open accessAbstract
The synchronization of coupled chaotic systems represents a fundamental example of self organization and collective behavior. This well-studied phenomenon is classically characterized in terms of macroscopic parameters, such as Lyapunov exponents, that help predict the system's transitions into globally organized states. However, the local, microscopic, description of this emergent process continues to elude us. Here we show that at the microscopic level, synchronization is captured through a gradual process of topological adjustment in phase space, in which the strange attractors of the two coupled systems continuously converge, taking similar form, until complete topological synchronization ensues. We observe the local nucleation of topological synchronization in specific regions of the system's attractor, providing early signals of synchrony, that appear significantly before the onset of complete synchronization. This local synchronization initiates at the regions of the attractor characterized by lower expansion rates, in which the chaotic trajectories are least sensitive to slight changes in initial conditions. Our findings offer an alternative description of synchronization in chaotic systems, exposing its local embryonic stages that are overlooked by the currently established global analysis. Such local topological synchronization enables the identification of configurations where prediction of the state of one system is possible from measurements on that of the other, even in the absence of global synchronization.
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Coupled attractors have recently been found to adjust their dynamics beginning at sparsely frequented areas of phase space.
“Notably, coupled attractors have recently been found to adjust their dynamics beginning at sparsely frequented areas of phase space (Lahav et al., 2018).”
From An Integrated World Modeling Theory (IWMT) of Consciousness (2020) · cites this paper as Lahav et al., 2018
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Memory processes, brain oscillations and EEG synchronization
Klimesch, W. (1996) · International Journal of Psychophysiology · doi:10.1016/s0167-8760(96)00057-8 · Cited by 923
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Safron, A. (2020) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2020.00030 · Cited by 133
“Notably, coupled attractors have recently been found to adjust their dynamics beginning at sparsely frequented areas of phase space (Lahav et al., 2018).”
Background
Metadata
- Authors
- Lahav, N., Sendiña-Nadal, I., Hens, C., Ksherim, B., Barzel, B., Cohen, R., & Boccaletti, S.
- Affiliations
- Bar-Ilan University (IL)
- Northwestern Polytechnical University (CN)
- Venue
- Physical Review E
- Publisher
- American Physical Society (APS)
- Published
- 2018-11-06
- Volume
- 98
- Issue
- 5
- ISSN
- 2470-0045 (ISSN-L)
- 2470-0053
- OpenAlex
- W2899630137
- Cited by
- 17
- References
- 1
- Citations by year
- 2025: 2 · 2023: 2 · 2022: 4 · 2021: 2 · 2020: 3 · 2019: 4
- FWCI
- 1.15
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Licence
- Locations
- Physical review. E (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- National Science Foundation (1735505)
- Ministerio de Economía y Competitividad (FIS2013-41057-P, FIS2017-84151-P)
- Topics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Chaos control and synchronization
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Nonlinear Dynamics and Pattern Formation
- Physical Sciences › Mathematics › Mathematical Physics › Mathematical Dynamics and Fractals
- Keywords
- chaos synchronization, coupled chaotic systems, chaotic attractors, phase space topology, local synchronization, Lyapunov exponents, self-organization, collective behavior
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