2001
DOI: 10.1016/s0377-0257(00)00135-x
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Corrections and enhancements of quasi-equilibrium states

Abstract: We give a compact non-technical presentation of two basic principles for reducing the description of nonequilibrium systems based on the quasi-equilibrium approximation. These two principles are: construction of invariant manifolds for the dissipative microscopic dynamics, and coarse-graining for the entropy-conserving microscopic dynamics. Two new results are presented: first, an application of the invariance principle to hybridization of micro-macro integration schemes is introduced, and is illustrated with … Show more

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Cited by 59 publications
(124 citation statements)
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“…In the limit b → ∞, the Hookean spring is recovered. Recently, it has been demonstrated that FENE-P model appears as first approximation within a systematic self-confident expansion of nonlinear forces [28].…”
Section: Two-peak Approximation For Polymer Stretching In Flow and Exmentioning
confidence: 99%
“…In the limit b → ∞, the Hookean spring is recovered. Recently, it has been demonstrated that FENE-P model appears as first approximation within a systematic self-confident expansion of nonlinear forces [28].…”
Section: Two-peak Approximation For Polymer Stretching In Flow and Exmentioning
confidence: 99%
“…The methods of the first order, based on this idea, were suggested and tested in Refs. [12][13][14]. The method of the thermodynamic projector lets us represent every ansatz-manifold as the solution to the variational problem (2) with specially chosen constraints.…”
Section: S(ψ)mentioning
confidence: 99%
“…Let us assume that in the interesting domain of initial conditions x 0 the solutions x(t) of Eq. (14) are developing in the following way: the vector x(t) is going rapidly to the value that is defined by the slow variables M; after that x can be represented as a function of M with good accuracy, and this function is unique for every initial condition. So, (A) for each value of the slow variables…”
Section: Elimination Of Fast Variables With the Help Of The Lyapunov mentioning
confidence: 99%
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