4.6 Article

A unified theory of emergent equilibrium phenomena in active and passive matter

期刊

COMPUTERS & CHEMICAL ENGINEERING
卷 164, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compchemeng.2022.107887

关键词

Emergence; Self-organization; Systems theory; Statistical mechanics; Active matter; Phase equilibria

资金

  1. Center for the Management of Systemic Risk (CMSR) at Columbia University

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Recent attempts towards a theory of active matter have utilized concepts and methods from hydrodynamics, kinetic theory, and non-equilibrium statistical physics. However, these approaches often fail to recognize the crucial feature of active matter, which is the role of purpose and the pursuit of maximum utility. This study introduces a novel game-theoretic framework called statistical teleodynamics, which explicitly accounts for this feature and integrates it with conventional statistical mechanics to create a unified theory of arbitrage equilibrium in both active and passive matter.
Recent attempts towards a theory of active matter utilize concepts and methods from hydrodynamics, kinetic theory, and non-equilibrium statistical physics. However, such approaches typically do not seem to recognize the critical feature of some kinds of active matter (particularly the biological ones), namely, the role of purpose, and the naturally attendant concept of the pursuit of maximum utility, which we believe is the crucial difference between active and passive matter. Here we introduce a novel game-theoretic framework, statistical teleodynamics, that accounts for this feature explicitly and show how it can be integrated with conventional statistical mechanics to develop a unified theory of arbitrage equilibrium in active and passive matter. We propose a spectrum of self-actualizing capabilities, going from none to completely strategic decision-making, and envision the various examples of active matter systems occupying someplace in this spectrum. We show how statistical teleodynamics reduces to familiar results in statistical mechanics in the limit of zero self-actualization. At the other extreme, in an economic setting, it provides novel insights about the emergence of income distributions and their fairness in an ideal free-market society. As examples of agents in between these limits, we show how our theory predicts the behavior of active Brownian particles, the emergence of ant craters, and phase equilibria in social segregation dynamics. We suggest that our theory offers a novel systems theoretic perspective of emergent phenomena that could serve as the starting point for a more comprehensive theory of design, control, and optimization through self-organization. (C) 2022 The Authors. Published by Elsevier Ltd.

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