Extreme Synchronization Transitions
arXiv:2505.10114 · doi:10.1038/s41467-025-59729-8
Abstract
Across natural and human-made systems, transition points mark sudden changes of order and are thus key to understanding overarching system features. Motivated by recent experimental observations, we here uncover an intriguing class of transitions in coupled oscillators, extreme synchronization transitions, from asynchronous disordered states to synchronous states with almost completely ordered phases. Whereas such a transition appears like discontinuous or explosive phase transitions, it exhibits markedly distinct features. First, the transition occurs already in finite systems of units and so constitutes an intriguing bifurcation of multi-dimensional systems rather than a genuine phase transition that emerges in the thermodynamic limit only. Second, the synchronization order parameter jumps from moderate values of the order of to values extremely close to , its theoretical maximum, immediately upon crossing a critical coupling strength. We analytically explain the mechanisms underlying such extreme transitions in coupled complexified Kuramoto oscillators. Extreme transitions may similarly occur across other systems of coupled oscillators as well as in certain percolation processes. In applications, their occurrence impacts our ability of ensuring or preventing strong forms of ordering, for instance in biological and engineered systems.
References in corpus (9)
- The physics of higher-order interactions in complex systems
- Explosive transitions in complex networks' structure and dynamics: percolation and synchronization
- Exact Results for the Kuramoto Model with a Bimodal Frequency Distribution
- Thermodynamic limit of the first-order phase transition in the Kuramoto model
- Impact of Single Links in Competitive Percolation -- How complex networks grow under competition
- Self-organized adaptation of a simple neural circuit enables complex robot behaviour
- Synchrony for weak coupling in the complexified Kuramoto model
- Two Types of Discontinuous Percolation Transitions in Cluster Merging Processes
- Disentangling Scaling Arguments to Empower Complex Systems Analysis