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Interpolation of stochastic and deterministic reduced dynamics

Kyozi Kawasaki

Physica A: Statistical Mechanics and its Applications, 2006, vol. 362, issue 2, 249-260

Abstract: There are roughly speaking the two extreme types of dynamical density functional theories: one is deterministic without noise and another is fully stochastic with noise. We attempt to interpolate these extreme limiting theories for general reduced description of time evolution by making use of a series of projection operators which generalize the so-called Kawasaki–Gunton operator. This helps to clarify, though in a formal way, the controversies or confusions surrounding the current dynamical density functional theories.

Keywords: Dynamical density functional theories; Reduced description; Deterministic dynamics; Stochastic dynamics (search for similar items in EconPapers)
Date: 2006
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:362:y:2006:i:2:p:249-260

DOI: 10.1016/j.physa.2005.08.009

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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