Thermodynamic and dynamical predictions for bifurcations and non-equilibrium phase transitions

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作者
Han Yan
Feng Zhang
Jin Wang
机构
[1] Chinese Academy of Sciences,State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry
[2] State University of New York at Stony Brook,Department of Chemistry and Physics
来源
Communications Physics | / 6卷
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摘要
“Critical transitions”, in which systems switch abruptly from one state to another are ubiquitous in physical and biological systems. Such critical transitions in complex systems are commonly described as dynamical processes within the framework of nonlinear dynamics and the bifurcation theory. However, systematic treatment from the global thermodynamic perspective is still challenging. Furthermore, from the previous established dynamical framework, a universal early-warning signal for predicting such transitions is still not very clear and complete. Here we developed a non-equilibrium thermodynamic and dynamical framework for general complex systems. Our approach used the analogy to the conventional statistical mechanical treatment for the equilibrium phase transitions, while the nature of the non-equilibrium dynamics is still captured and reflected. Applying this framework to two well-known non-equilibrium systems, we found warning signals based on thermodynamic quantities and the time-reversal symmetry breaking nature of non-equilibrium systems can be detected much earlier than those explored in the previous works based on nonlinear dynamics and the bifurcation theory. Irreversibility of the observed time series strongly correlates to the behavior of these thermodynamic quantities and provides a practical way for predicting transitions. Our work provides a general yet practical approach for exploring collective behaviors in complex systems.
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  • [1] Scheffer M(2009)Early-warning signals for critical transitions Nature 461 53-59
  • [2] Leung HK(2000)Bifurcation of synchronization as a nonequilibrium phase transition Physica A 281 311C317-107
  • [3] Strogatz SH(2015)Nonlinear dynamics and chaos: with applications to physics, biology, chemistry, and engineering Comput. Phys. 8 532-747
  • [4] Haken H(1975)Cooperative phenomena in systems far from thermal equilibrium and in nonphysical systems Rev. Mod. Phys. 47 67-348
  • [5] Wissel C(1984)A universal law of the characteristic return time near thresholds Oecologia 65 101-E4194
  • [6] van Nes EH(2007)Slow recovery from perturbations as a generic indicator of a nearby catastrophic shift Am. Nat. 169 738-137
  • [7] Scheffer M(2012)Anticipating critical transitions Science 338 344-24
  • [8] Scheffer M(2013)Nonequilibrium landscape theory of neural networks Proc. Natl Acad. Sci. USA 110 E4185-325
  • [9] Yan H(2015)Landscape and flux theory of non-equilibrium dynamical systems with application to biology Adv. Phys. 64 1-81
  • [10] Wang J(2019)Non-equilibrium landscape and flux reveal how the central amygdala circuit gates passive and active defensive responses J. R. Soc. Interface 16 20180756-10381