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Published on: January 28, 2022
Noise-induced standing waves in oscillatory systems with time-delayed feedback.
Michael Stich1, Amit K Chattopadhyay1
1Non-linearity and Complexity Research Group, Systems Analytics Research Institute, School of Engineering and Applied Science, Aston University, Aston Triangle, Birmingham, B4 7ET, United Kingdom.
Noise can induce standing waves in oscillatory reaction-diffusion systems. Even small amounts of Gaussian white noise can stabilize uniform oscillations, promoting standing wave formation near phase boundaries.
Area of Science:
- Complex systems
- Nonlinear dynamics
- Chemical kinetics
Background:
- Oscillatory reaction-diffusion systems exhibit complex spatiotemporal patterns.
- Time-delay feedback can destabilize uniform oscillations, leading to standing wave formation.
- The role of noise in pattern formation within these systems is not fully understood.
Purpose of the Study:
- To investigate the influence of additive Gaussian white noise on standing wave formation in oscillatory reaction-diffusion systems.
- To determine how noise affects the stability of uniform oscillatory modes.
- To explore the conditions under which noise can induce standing waves.
Main Methods:
- Analytical solutions of the reaction-diffusion model.
- Spatiotemporal simulations of the system dynamics.
- Analysis of the interplay between noisy forcing and reaction-diffusion dynamics.
Main Results:
- Gaussian white noise can induce standing waves in parameter regimes where deterministic uniform oscillatory modes are stable.
- Noise promotes standing wave formation as the deterministic phase boundary is approached due to strengthened spatiotemporal correlations.
- Larger noise strengths can induce standing waves even at finite distances from the deterministic phase boundary.
Conclusions:
- Additive noise plays a crucial role in pattern selection within oscillatory reaction-diffusion systems.
- Noise can act as a mechanism to generate standing waves, complementing deterministic instabilities.
- The interplay between noise and inherent system dynamics governs the emergence of complex spatiotemporal patterns.
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