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Mean-field approximation of counting processes from a differential equation perspective
Author(s) -
Dávid Kunszenti-Kovács,
Peter Šimon
Publication year - 2016
Publication title -
electronic journal of qualitative theory of differential equations
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.524
H-Index - 33
ISSN - 1417-3875
DOI - 10.14232/ejqtde.2016.1.75
Subject(s) - mathematics , perspective (graphical) , field (mathematics) , differential equation , statistics , calculus (dental) , mathematical analysis , pure mathematics , geometry , medicine , dentistry
Deterministic limit of a class of continuous time Markov chains is considered based purely on differential equation techniques. Starting from the linear system of master equations, ordinary differential equations for the moments and a partial differential equation, called Fokker–Planck equation, for the distribution is derived. Introducing closures at the level of the second and third moments, mean-field approximations are introduced. The accuracy of the mean-field approximations and the Fokker–Planck equation is investigated by using two differential equation-based and an operator semigroup-based approach.

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