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Название: Principle of Maximum Entropy and Reduced Dynamics
Автор: Kawasaki K.
Аннотация:
Journal of Statistical Physics, Vol. 123, No. 4, May 2006. p. 711-740.
DOI: 10.1007/s10955-006-9121-z
A new method to obtain a series of reduced dynamics at various stages of coarse-graining is proposed. This ranges from the most coarse-grained one which agrees with the deterministic time evolution equation for averages of the relevant variables to the least coarse-grained one which is the generalized Fokker-Planck equation for the probability distribution function of the relevant variables. The method is based on the extention of the Kawasaki-Gunton operator with the help of the principle of maximum entropy.