Statistical Physics of Adaptation

Whether by virtue of being prepared in a slowly relaxing, high-free energy initial condition, or because they are constantly dissipating energy absorbed from a strong external drive, many systems subject to thermal fluctuations are not expected to behave in the way they would at thermal equilibrium....

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Main Authors: Nikolay Perunov, Robert A. Marsland, Jeremy L. England
Format: Article
Language:English
Published: American Physical Society 2016-06-01
Series:Physical Review X
Online Access:http://doi.org/10.1103/PhysRevX.6.021036
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spelling doaj-3ad00343a0f84f5d9a16e2f39c69d3552020-11-24T22:36:08ZengAmerican Physical SocietyPhysical Review X2160-33082016-06-016202103610.1103/PhysRevX.6.021036Statistical Physics of AdaptationNikolay PerunovRobert A. MarslandJeremy L. EnglandWhether by virtue of being prepared in a slowly relaxing, high-free energy initial condition, or because they are constantly dissipating energy absorbed from a strong external drive, many systems subject to thermal fluctuations are not expected to behave in the way they would at thermal equilibrium. Rather, the probability of finding such a system in a given microscopic arrangement may deviate strongly from the Boltzmann distribution, raising the question of whether thermodynamics still has anything to tell us about which arrangements are the most likely to be observed. In this work, we build on past results governing nonequilibrium thermodynamics and define a generalized Helmholtz free energy that exactly delineates the various factors that quantitatively contribute to the relative probabilities of different outcomes in far-from-equilibrium stochastic dynamics. By applying this expression to the analysis of two examples—namely, a particle hopping in an oscillating energy landscape and a population composed of two types of exponentially growing self-replicators—we illustrate a simple relationship between outcome-likelihood and dissipative history. In closing, we discuss the possible relevance of such a thermodynamic principle for our understanding of self-organization in complex systems, paying particular attention to a possible analogy to the way evolutionary adaptations emerge in living things.http://doi.org/10.1103/PhysRevX.6.021036
collection DOAJ
language English
format Article
sources DOAJ
author Nikolay Perunov
Robert A. Marsland
Jeremy L. England
spellingShingle Nikolay Perunov
Robert A. Marsland
Jeremy L. England
Statistical Physics of Adaptation
Physical Review X
author_facet Nikolay Perunov
Robert A. Marsland
Jeremy L. England
author_sort Nikolay Perunov
title Statistical Physics of Adaptation
title_short Statistical Physics of Adaptation
title_full Statistical Physics of Adaptation
title_fullStr Statistical Physics of Adaptation
title_full_unstemmed Statistical Physics of Adaptation
title_sort statistical physics of adaptation
publisher American Physical Society
series Physical Review X
issn 2160-3308
publishDate 2016-06-01
description Whether by virtue of being prepared in a slowly relaxing, high-free energy initial condition, or because they are constantly dissipating energy absorbed from a strong external drive, many systems subject to thermal fluctuations are not expected to behave in the way they would at thermal equilibrium. Rather, the probability of finding such a system in a given microscopic arrangement may deviate strongly from the Boltzmann distribution, raising the question of whether thermodynamics still has anything to tell us about which arrangements are the most likely to be observed. In this work, we build on past results governing nonequilibrium thermodynamics and define a generalized Helmholtz free energy that exactly delineates the various factors that quantitatively contribute to the relative probabilities of different outcomes in far-from-equilibrium stochastic dynamics. By applying this expression to the analysis of two examples—namely, a particle hopping in an oscillating energy landscape and a population composed of two types of exponentially growing self-replicators—we illustrate a simple relationship between outcome-likelihood and dissipative history. In closing, we discuss the possible relevance of such a thermodynamic principle for our understanding of self-organization in complex systems, paying particular attention to a possible analogy to the way evolutionary adaptations emerge in living things.
url http://doi.org/10.1103/PhysRevX.6.021036
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