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Synchronization of stochastic hybrid oscillators driven by a common switching environment
Paul C Bressloff1, James MacLaurin2
1Department of Mathematics, University of Utah, Salt Lake City, Utah 84112, USA.
Chaos (Woodbury, N.Y.)
|January 3, 2019
Summary
Coupled ordinary differential equation (ODE) systems synchronized by a shared Markov jump process exhibit synchronization even when uncoupled. This synchronization is accurately predicted by a second-order perturbation expansion in the fast switching limit.
Area of Science:
- Complex systems dynamics
- Nonlinear dynamics and chaos
- Stochastic processes
Background:
- Ordinary differential equations (ODEs) model many biological, physical, and chemical systems.
- Piecewise smooth ODEs with Markov jump processes exhibit complex dynamics.
- Fast switching limits of these systems converge to deterministic ODEs.
Purpose of the Study:
- Investigate synchronization in uncoupled oscillators driven by a common Markov jump process.
- Analyze the fast switching limit of piecewise smooth ODEs supporting stable limit cycles.
- Determine the Lyapunov coefficient governing phase difference decay.
Main Methods:
- Analysis of synchronization in the fast switching limit of ODEs with Markov jump processes.
- Calculation of the Lyapunov coefficient using quasi-steady-state approximation and second-order perturbation expansion.
- Numerical simulations using the radial isochron clock model.
Main Results:
- Uncoupled oscillators sharing a common Markov jump process can synchronize.
- The Lyapunov coefficient calculation reveals discrepancies between approximation methods.
- A second-order perturbation expansion provides a more accurate Lyapunov coefficient.
Conclusions:
- Synchronization is achievable in systems governed by common random environments modeled by Markov jump processes.
- The discrete nature of the Markov jump process necessitates careful analysis of synchronization dynamics.
- The second-order perturbation expansion offers a more accurate method for predicting synchronization rates in such systems.
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