2019
DOI: 10.3390/e21070715
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Dynamic Maximum Entropy Reduction

Abstract: Any physical system can be regarded on different levels of description varying by how detailed the description is. We propose a method called Dynamic MaxEnt (DynMaxEnt) that provides a passage from the more detailed evolution equations to equations for the less detailed state variables. The method is based on explicit recognition of the state and conjugate variables, which can relax towards the respective quasi-equilibria in different ways. Detailed state variables are reduced using the usual principle of maxi… Show more

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Cited by 29 publications
(48 citation statements)
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“…This new requirement plays now a very important role in determining the potentials appearing in ( 29 ). The precise meaning of maximally invariant (or alternatively “quasi-invariant”) used in ( 30 ) as well as the meaning of “appropriately projected” used in ( 33 ) below remains still a part of the pattern recognition analysis of the upper time-evolution that has to be investigated [ 2 , 19 , 20 , 21 , 22 ].…”
Section: Structures In Multiscale Thermodynamicsmentioning
confidence: 99%
See 1 more Smart Citation
“…This new requirement plays now a very important role in determining the potentials appearing in ( 29 ). The precise meaning of maximally invariant (or alternatively “quasi-invariant”) used in ( 30 ) as well as the meaning of “appropriately projected” used in ( 33 ) below remains still a part of the pattern recognition analysis of the upper time-evolution that has to be investigated [ 2 , 19 , 20 , 21 , 22 ].…”
Section: Structures In Multiscale Thermodynamicsmentioning
confidence: 99%
“…The output of the reduction is the lower thermodynamics relation: obtained from ( 29 ) in the same way as ( 21 ) is obtained from ( 19 ) (see more in Section 2.2 ) and the vector field (compare with ( 20 )): which, if appropriately projected on the tangent space of the manifold and pushed forward on by the mapping ( 28 ), becomes the vector field generating the time-evolution at the lower level l . In this paper, we limit ourselves only to recalling the main idea behind the Chapman and Enskog analysis (see more in Section 4.1 and in [ 2 , 18 , 19 , 20 , 21 , 22 , 23 ]).…”
Section: Structures In Multiscale Thermodynamicsmentioning
confidence: 99%
“…The reducing time evolution can be either the time evolution taking place in and approaching an invariant (or in most cases a quasi-invariant) manifold that represents in the state space used on the lower level or it can be the time evolution of vector fields taking the vector field generating the upper time evolution to the vector field generating the lower time evolution. The former viewpoint is discussed for example in [ 11 , 12 , 13 , 14 ]. In this paper we follow the second route, discussed in [ 15 ], since on this route we can directly transpose the 2-level equilibrium thermodynamics introduced in the previous section to 2-level rate-thermodynamics.…”
Section: Landau’s Theory Of Dynamic Critical Phenomenamentioning
confidence: 99%
“…To this end we recall the method of Dynamic MaxEnt (DynMaxEnt) [4,62]. Extensive treatment of the DynMaxEnt principle in the context of the continuum thermodynamics can be found in [63].…”
Section: Dynamic Maximum Entropy Principlementioning
confidence: 99%