English

Phase Transitions and the Theory of Early Warning Indicators for Critical Transitions

Statistical Mechanics 2021-10-26 v1 Adaptation and Self-Organizing Systems Quantitative Methods

Abstract

Critical transitions, or large changes in the state of a system after a small change in the system's external conditions or parameters, commonly occur in a wide variety of disciplines, from the biological and social sciences to physics. Statistical physics first confronted the problem of emergent phenomena such as critical transitions in the 1800s and 1900s, culminating in the theory of phase transitions. However, although phase transitions show a strong resemblance to critical transitions, the theoretical connections between the two sets of phenomena are tenuous at best, and it would be advantageous to make them more concrete in order to take advantage of the theoretical methods developed by physicists to study phase transitions. Here we attempt to explicitly connect the theory of critical transitions to phase transitions in physics. We initially find something paradoxical, that many critical transitions closely resemble first-order phase transitions, but that many of the early warning indicators developed to anticipate critical transitions, such as critical slowing down or increasing spatial correlations, occur instead in second-order phase transitions. We attempt to reconcile these disparities by making the connection with other phenomena associated with first-order phase transitions, such as spinodal instabilities and metastable states.

Keywords

Cite

@article{arxiv.2110.12287,
  title  = {Phase Transitions and the Theory of Early Warning Indicators for Critical Transitions},
  author = {George I. Hagstrom and Simon A. Levin},
  journal= {arXiv preprint arXiv:2110.12287},
  year   = {2021}
}

Comments

16 pages, 5 figures, To appear as book chapter in Global Systemic Risk