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28 March 2024
 
  » arxiv » cond-mat/0505009

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On the Dynamic Statistical Information Theory
Xing Xiu-San ;
Date 30 Apr 2005
Subject Statistical Mechanics; Materials Science | cond-mat.stat-mech cond-mat.mtrl-sci
AbstractWe extend present Shannon’s static statistical information theory to dynamic processes and establish a dynamic statistical information theory. We derive the nonlinear evolution equations of dynamic information density and dynamic information entropy density. We present the expressions of drift information flow and diffusion information flow, the formulas of information entropy production rate and information dissipation rate. The information dissipation rate is equal to the information entropy production rate in a same dynamic system. Information diffusion and information dissipation occur at the same time. We obtain the dynamic mutual information and dynamic channel capacity reflecting the dynamic dissipation character in the transmission process. These derivations and results are unified and rigorous from evolution equations of dynamic information and dynamic information entropy without adding any extra assumption. Two actual dynamic topics are discussed.
Source arXiv, cond-mat/0505009
Other source [GID 870324] cond-mat/0505009
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