Statistical dynamics of continuous systems: perturbative and approximative approaches

We discuss general concept of Markov statistical dynamics in the continuum. For a class of spatial birth-and-death models, we develop a perturbative technique for the construction of statistical dynamics. Particular examples of such systems are considered. For the case of Glauber type dynamics in th...

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Main Authors: Finkelshtein, Dmitri, Kondratiev, Yuri, Kutovyi, Oleksandr
Other Authors: Massachusetts Institute of Technology. Department of Mathematics
Format: Article
Language:en_US
Published: Springer-Verlag 2016
Online Access:http://hdl.handle.net/1721.1/101898
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author Finkelshtein, Dmitri
Kondratiev, Yuri
Kutovyi, Oleksandr
author2 Massachusetts Institute of Technology. Department of Mathematics
author_facet Massachusetts Institute of Technology. Department of Mathematics
Finkelshtein, Dmitri
Kondratiev, Yuri
Kutovyi, Oleksandr
author_sort Finkelshtein, Dmitri
collection MIT
description We discuss general concept of Markov statistical dynamics in the continuum. For a class of spatial birth-and-death models, we develop a perturbative technique for the construction of statistical dynamics. Particular examples of such systems are considered. For the case of Glauber type dynamics in the continuum we describe a Markov chain approximation approach that gives more detailed information about statistical evolution in this model.
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spelling mit-1721.1/1018982022-09-27T16:15:04Z Statistical dynamics of continuous systems: perturbative and approximative approaches Finkelshtein, Dmitri Kondratiev, Yuri Kutovyi, Oleksandr Massachusetts Institute of Technology. Department of Mathematics Kutovyi, Oleksandr We discuss general concept of Markov statistical dynamics in the continuum. For a class of spatial birth-and-death models, we develop a perturbative technique for the construction of statistical dynamics. Particular examples of such systems are considered. For the case of Glauber type dynamics in the continuum we describe a Markov chain approximation approach that gives more detailed information about statistical evolution in this model. 2016-03-28T19:05:11Z 2016-03-28T19:05:11Z 2014-07 2014-02 Article http://purl.org/eprint/type/JournalArticle 2193-5343 2193-5351 http://hdl.handle.net/1721.1/101898 Finkelshtein, Dmitri, Yuri Kondratiev, and Oleksandr Kutoviy. “Statistical Dynamics of Continuous Systems: Perturbative and Approximative Approaches.” Arab. J. Math. 4, no. 4 (July 30, 2014): 255–300. en_US http://dx.doi.org/10.1007/s40065-014-0111-8 Arabian Journal of Mathematics Creative Commons Attribution http://creativecommons.org/licenses/by/4.0/ application/pdf Springer-Verlag Springer-Verlag
spellingShingle Finkelshtein, Dmitri
Kondratiev, Yuri
Kutovyi, Oleksandr
Statistical dynamics of continuous systems: perturbative and approximative approaches
title Statistical dynamics of continuous systems: perturbative and approximative approaches
title_full Statistical dynamics of continuous systems: perturbative and approximative approaches
title_fullStr Statistical dynamics of continuous systems: perturbative and approximative approaches
title_full_unstemmed Statistical dynamics of continuous systems: perturbative and approximative approaches
title_short Statistical dynamics of continuous systems: perturbative and approximative approaches
title_sort statistical dynamics of continuous systems perturbative and approximative approaches
url http://hdl.handle.net/1721.1/101898
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