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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2016-06-01
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Series: | Physical Review X |
Online Access: | http://doi.org/10.1103/PhysRevX.6.021036 |
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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 |
work_keys_str_mv |
AT nikolayperunov statisticalphysicsofadaptation AT robertamarsland statisticalphysicsofadaptation AT jeremylengland statisticalphysicsofadaptation |
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