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Chinese Science Bulletin
Article . 1998 . Peer-reviewed
License: Springer TDM
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zbMATH Open
Article . 1998
Data sources: zbMATH Open
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Reaction-diffusion processes

Authors: Chen, Mufa;

Reaction-diffusion processes

Abstract

This is a survey paper in the study of reaction-diffusion processes. Schögl's model and Brussel's model are presented in the first section, they are typical models in non-equilibrium statistical physics. The case of a finite number of sites is not so easy, but is now quite well understood. The construction of the process which is associated with an infinite number of sites is very hard. A useful tool in this way is the Markovian coupling. Existence of stationary distributions, ergodicity and phase transitions are discussed. When the formal generator of the process is suitably rescaled, we are lead to the reaction-diffusion equation which describes the macroscopic behavior of the physical system.

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Keywords

ergodicity, Interacting random processes; statistical mechanics type models; percolation theory, Interacting particle systems in time-dependent statistical mechanics, reaction-diffusion process, coupling, phase transitions

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
gold