Statistical Physics of Evolving Systems

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Annila , A 2021 , ' Statistical Physics of Evolving Systems ' , Entropy , vol. 23 , no. 12 , 1590 .

Title: Statistical Physics of Evolving Systems
Author: Annila, Arto
Contributor organization: Institute of Biotechnology
Department of Physics
Date: 2021-12
Language: eng
Number of pages: 10
Belongs to series: Entropy
ISSN: 1099-4300
Abstract: Evolution is customarily perceived as a biological process. However, when formulated in terms of physics, evolution is understood to entail everything. Based on the axiom of everything comprising quanta of actions (e.g., quanta of light), statistical physics describes any system evolving toward thermodynamic balance with its surroundings systems. Fluxes of quanta naturally select those processes leveling out differences in energy as soon as possible. This least-time maxim results in ubiquitous patterns (i.e., power laws, approximating sigmoidal cumulative curves of skewed distributions, oscillations, and even the regularity of chaos). While the equation of evolution can be written exactly, it cannot be solved exactly. Variables are inseparable since motions consume driving forces that affect motions (and so on). Thus, evolution is inherently a non-deterministic process. Yet, the future is not all arbitrary but teleological, the final cause being the least-time free energy consumption itself. Eventually, trajectories are computable when the system has evolved into a state of balance where free energy is used up altogether.
Subject: dissipative systems
free energy
natural selection
power laws
quantum of action
114 Physical sciences
Peer reviewed: Yes
Rights: cc_by
Usage restriction: openAccess
Self-archived version: publishedVersion

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