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Rotating spiral waves with phase-randomized core in nonlocally coupled oscillators.
Shin-ichiro Shima1, Yoshiki Kuramoto
1Department of Physics, Graduate School of Sciences, Kyoto University, Kyoto 606-8502, Japan. s_shima@ton.scphys.kyoto-u.ac.jp
Summary
Diffusion-free components in reaction-diffusion systems can create rotating spiral waves with phase-randomized cores. This study explores the anomalous spiral dynamics driven by effective nonlocality in coupling.
Area of Science:
- Chemical kinetics
- Nonlinear dynamics
- Pattern formation
Background:
- Reaction-diffusion systems commonly exhibit spiral waves.
- Phase-randomized oscillators can disrupt normal spiral wave behavior.
- Diffusion-free components introduce unique dynamics not seen in standard models.
Purpose of the Study:
- To investigate the emergence of rotating spiral waves with phase-randomized cores in reaction-diffusion systems.
- To elucidate the role of diffusion-free components and effective nonlocality in anomalous spiral dynamics.
- To develop a theoretical framework for understanding these phenomena.
Main Methods:
- Utilized a paradigmatic three-component reaction-diffusion model.
- Performed mathematical analysis, particularly in the weak coupling regime.
- Employed the phase reduction method and derived a functional self-consistency equation.
- Conducted numerical simulations to validate theoretical predictions.
Main Results:
- Demonstrated the formation of rotating spiral waves with phase-randomized cores when components are diffusion-free.
- Identified effective nonlocality in coupling as the origin of anomalous spiral dynamics.
- Estimated a critical coupling strength for the onset of this phenomenon.
- Achieved excellent agreement between theoretical predictions and numerical simulations for oscillator frequencies.
Conclusions:
- Diffusion-free components can lead to novel spiral wave patterns in reaction-diffusion systems.
- Effective nonlocality, particularly at weak coupling, is key to anomalous spiral dynamics.
- The derived functional self-consistency equation accurately describes the system's behavior.