Contraction stability and transverse stability of synchronization in complex networks
Kezan Li1, Michael Small, Xinchu Fu
1Department of Mathematics, Shanghai University, Shanghai 200444, People's Republic of China.
This study links transverse stability and contraction stability in discrete dynamical networks. We show that contraction ensures systems forget initial conditions, leading to synchronized trajectories in complex networks.
Area of Science:
- Complex Systems
- Network Science
- Dynamical Systems Theory
Background:
- Understanding stability is crucial for analyzing discrete dynamical networks.
- Transverse stability and contraction stability are key concepts in network dynamics.
- The partial contraction principle offers a method for analyzing synchronization.
Purpose of the Study:
- To analytically demonstrate the relationship between transverse stability (Milnor sense) and contraction stability.
- To investigate the synchronization of star-shaped complex networks using the partial contraction principle.
- To verify the interrelation between contraction and transverse stability in network dynamics.
Main Methods:
- Analytical demonstration of stability concepts.
- Application of the partial contraction principle.
- Investigation of discrete dynamical networks, including star-shaped complex networks.
Main Results:
- Established an analytical link between transverse stability and contraction stability.
- Demonstrated that contraction implies exponential forgetting of initial conditions and convergence to a unique trajectory.
- Verified the interrelation through the analysis of synchronization in star-shaped networks.
Conclusions:
- Contraction stability is a key factor for achieving synchronization in discrete dynamical networks.
- The partial contraction principle effectively analyzes synchronization phenomena.
- The study confirms the interconnectedness of different stability concepts in complex network dynamics.
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