Langevin Dynamics with Variable Coefficients and Nonconservative Forces: From Stationary States to Numerical Methods

Langevin dynamics is a versatile stochastic model used in biology, chemistry, engineering, physics and computer science. Traditionally, in thermal equilibrium, one assumes (i) the forces are given as the gradient of a potential and (ii) a fluctuation-dissipation relation holds between stochastic and...

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Main Authors: Matthias Sachs, Benedict Leimkuhler, Vincent Danos
Format: Article
Language:English
Published: MDPI AG 2017-11-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/19/12/647
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author Matthias Sachs
Benedict Leimkuhler
Vincent Danos
author_facet Matthias Sachs
Benedict Leimkuhler
Vincent Danos
author_sort Matthias Sachs
collection DOAJ
description Langevin dynamics is a versatile stochastic model used in biology, chemistry, engineering, physics and computer science. Traditionally, in thermal equilibrium, one assumes (i) the forces are given as the gradient of a potential and (ii) a fluctuation-dissipation relation holds between stochastic and dissipative forces; these assumptions ensure that the system samples a prescribed invariant Gibbs-Boltzmann distribution for a specified target temperature. In this article, we relax these assumptions, incorporating variable friction and temperature parameters and allowing nonconservative force fields, for which the form of the stationary state is typically not known a priori. We examine theoretical issues such as stability of the steady state and ergodic properties, as well as practical aspects such as the design of numerical methods for stochastic particle models. Applications to nonequilibrium systems with thermal gradients and active particles are discussed.
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spelling doaj.art-449dcc122e8c4aae95ca68be51fa22522022-12-22T04:25:19ZengMDPI AGEntropy1099-43002017-11-01191264710.3390/e19120647e19120647Langevin Dynamics with Variable Coefficients and Nonconservative Forces: From Stationary States to Numerical MethodsMatthias Sachs0Benedict Leimkuhler1Vincent Danos2Department of Mathematics, Duke University, Durham, NC 27708, USAThe School of Mathematics and the Maxwell Institute of Mathematical Sciences, James Clerk Maxwell Building, University of Edinburgh, Edinburgh EH9 3FD, UKDépartement d’informatique, École Normale Supérieure, 45 rue d’Ulm, F-75230 Paris CEDEX 05, FranceLangevin dynamics is a versatile stochastic model used in biology, chemistry, engineering, physics and computer science. Traditionally, in thermal equilibrium, one assumes (i) the forces are given as the gradient of a potential and (ii) a fluctuation-dissipation relation holds between stochastic and dissipative forces; these assumptions ensure that the system samples a prescribed invariant Gibbs-Boltzmann distribution for a specified target temperature. In this article, we relax these assumptions, incorporating variable friction and temperature parameters and allowing nonconservative force fields, for which the form of the stationary state is typically not known a priori. We examine theoretical issues such as stability of the steady state and ergodic properties, as well as practical aspects such as the design of numerical methods for stochastic particle models. Applications to nonequilibrium systems with thermal gradients and active particles are discussed.https://www.mdpi.com/1099-4300/19/12/647Langevin dynamicsfluctuation-dissipation theoremsnonequilibrium simulationmolecular dynamicssamplinglocal thermal equilibriumtemperature gradients
spellingShingle Matthias Sachs
Benedict Leimkuhler
Vincent Danos
Langevin Dynamics with Variable Coefficients and Nonconservative Forces: From Stationary States to Numerical Methods
Entropy
Langevin dynamics
fluctuation-dissipation theorems
nonequilibrium simulation
molecular dynamics
sampling
local thermal equilibrium
temperature gradients
title Langevin Dynamics with Variable Coefficients and Nonconservative Forces: From Stationary States to Numerical Methods
title_full Langevin Dynamics with Variable Coefficients and Nonconservative Forces: From Stationary States to Numerical Methods
title_fullStr Langevin Dynamics with Variable Coefficients and Nonconservative Forces: From Stationary States to Numerical Methods
title_full_unstemmed Langevin Dynamics with Variable Coefficients and Nonconservative Forces: From Stationary States to Numerical Methods
title_short Langevin Dynamics with Variable Coefficients and Nonconservative Forces: From Stationary States to Numerical Methods
title_sort langevin dynamics with variable coefficients and nonconservative forces from stationary states to numerical methods
topic Langevin dynamics
fluctuation-dissipation theorems
nonequilibrium simulation
molecular dynamics
sampling
local thermal equilibrium
temperature gradients
url https://www.mdpi.com/1099-4300/19/12/647
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