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First-order transitions, like explosive synchronization or epidemic outbreaks, are common in complex systems. Mathematical analysis shows these transitions are expected when models are generalized, not surprising.

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Area of Science:

  • Complex Systems Science
  • Statistical Physics
  • Network Science

Background:

  • Critical transitions, such as synchronization in coupled oscillators or epidemic emergence, are fundamental phenomena in complex systems.
  • First-order transitions, particularly "explosive" types, have garnered significant interest when classical models are enhanced with additional effects.

Purpose of the Study:

  • To provide a mathematical framework demonstrating that first-order transitions are a universally expected outcome in generalized complex systems.
  • To explain the emergence of "explosive" transitions as a natural consequence of model generalization.

Main Methods:

  • Mathematical analysis of classical models generalized by incorporating additional effects.
  • Investigation of generic two-parameter families of models to observe changes in criticality.
  • Application of the theoretical framework to distinct physical systems.

Main Results:

  • A mathematical argument proving that varying classical models along a generic two-parameter family inevitably leads to a change in criticality.
  • Demonstration that first-order transitions are not surprising but universally expected effects in generalized systems.
  • Empirical validation through three distinct examples: adaptive epidemic dynamics, a generalized Kuramoto model, and a percolation transition.

Conclusions:

  • The emergence of first-order transitions, including explosive ones, is a predictable consequence of generalizing classical models.
  • The presented framework unifies the understanding of these transitions across diverse complex systems.
  • This work provides a theoretical basis for expecting and analyzing first-order transitions in various scientific domains.