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Statistical Physics of Evolving Systems.

Arto Annila1

  • 1Department of Physics, University of Helsinki, 00014 Helsinki, Finland.

Entropy (Basel, Switzerland)
|December 24, 2021
PubMed
Summary
This summary is machine-generated.

Physics explains evolution as a universal process driven by the principle of least-time energy leveling. This fundamental law governs all systems, leading to predictable patterns and a teleological drive toward equilibrium.

Keywords:
dissipative systemsevolutionfree energynatural selectionpower lawsquantum of action

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Area of Science:

  • Physics
  • Statistical Mechanics
  • Thermodynamics
  • Evolutionary Theory

Background:

  • Evolution is traditionally viewed as a biological phenomenon.
  • A physics-based perspective suggests evolution is a universal principle applicable to all systems.
  • The concept of quanta of action underlies physical descriptions of evolving systems.

Purpose of the Study:

  • To formulate evolution as a process governed by physical laws.
  • To demonstrate how statistical physics explains universal evolutionary patterns.
  • To identify the least-time free energy consumption as the teleological driver of evolution.

Main Methods:

  • Application of statistical physics principles to systems of quanta.
  • Analysis of energy flux and its role in system evolution.
  • Mathematical formulation of the evolutionary equation and its non-deterministic nature.

Main Results:

  • Systems evolve towards thermodynamic balance with their surroundings.
  • The least-time principle for leveling energy differences generates universal patterns such as power laws and oscillations.
  • Evolutionary processes are inherently non-deterministic due to inseparable variables and energy consumption.

Conclusions:

  • Evolution, when viewed through the lens of physics, is a universal process.
  • The drive towards minimal free energy consumption over the least time dictates evolutionary trajectories.
  • System trajectories become computable only upon reaching a state of thermodynamic equilibrium.