2020
DOI: 10.1515/jnet-2020-0069
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A Framework of Nonequilibrium Statistical Mechanics. II. Coarse-Graining

Abstract: For a given thermodynamic system, and a given choice of coarse-grained state variables, the knowledge of a force-flux constitutive law is the basis for any nonequilibrium modeling. In the first paper of this series we established how, by a generalization of the classical fluctuation-dissipation theorem (FDT), the structure of a constitutive law is directly related to the distribution of the fluctuations of the state variables. When these fluctuations can be expressed in terms of diffusion processes, one may us… Show more

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Cited by 11 publications
(3 citation statements)
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References 64 publications
(112 reference statements)
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“…In this respect, it is crucial to examine whether the fluctuations can be represented adequately in terms of stochastic differential equations (SDE) as discussed in Sect. 5, or whether there are rather rare but large events that prevail [88], where the latter would require other means of coarse graining (e.g., see [72,73]). An equally important question is the one of time-scale separation between the different levels of description; a lack of time-scale separation (as observed, e.g., in dislocation systems [89]) complicates the coarse graining significantly.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…In this respect, it is crucial to examine whether the fluctuations can be represented adequately in terms of stochastic differential equations (SDE) as discussed in Sect. 5, or whether there are rather rare but large events that prevail [88], where the latter would require other means of coarse graining (e.g., see [72,73]). An equally important question is the one of time-scale separation between the different levels of description; a lack of time-scale separation (as observed, e.g., in dislocation systems [89]) complicates the coarse graining significantly.…”
Section: Discussionmentioning
confidence: 99%
“…The evolution of the natural configuration can therefore be imagined as a jump process between local minima [70,71]. If these jumps are rare events, the coarse graining procedure needs to reflect that aspect properly [72,73]. In the following, it is assumed for the purpose of illustration that the dynamics of {R α } takes the form of a SDE with multiplicative noise, using the Itô interpretation of stochastic calculus [56,57],…”
Section: Derivation Of Friction Operator By Coarse Grainingmentioning
confidence: 99%
“…To overcome numerical and theoretical difficulty, the most common approach neglects some "details" of the system (namely, the dynamics of the solvent molecules) in favor of a mesoscopic description in terms of random variables: This corresponds to a temporal and spatial coarse graining. Since one can introduce different possible mesoscopic descriptions, usually different levels of coarse graining are allowed [7]. Therefore, evaluating the consequences of the coarse graining on the physical properties of the system is a general issue of indisputable importance.…”
Section: Introductionmentioning
confidence: 99%