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Area of Science:

  • Complex Systems
  • Nonlinear Dynamics
  • Statistical Physics

Background:

  • Adaptation is crucial for collective dynamics in many systems.
  • Synchronization transitions are fundamental to networked systems.
  • Understanding adaptive mechanisms is key to controlling system behavior.

Purpose of the Study:

  • To investigate the conditions for synchronization transitions in adaptive coupled phase oscillators.
  • To analyze the role of feedback between coupling and order parameter.
  • To explore how adaptation influences the nature of phase transitions.

Main Methods:

  • Mathematical analysis of coupled phase oscillators with adaptive feedback.
  • Investigation of power-law functions relating coupling and order parameter.
  • Examination of subcritical and supercritical correlation scenarios.

Main Results:

  • No critical adaptive fraction is needed for first- to second-order or vice-versa transitions.
  • Nonzero adaptation leads to explosive or continuous phase transitions.
  • Synchronization routes depend on relative adaptive weights and scaling behaviors near criticality.

Conclusions:

  • Adaptation significantly alters synchronization transitions in coupled oscillator systems.
  • The findings provide insights into the dynamical nature of phase transitions.
  • This work aids in controlling and manipulating synchronization in adaptive networks.