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Theory of Probability and Mathematical Statistics
Theory of Probability and Mathematical Statistics
ISSN: 1547-7363(e) 0094-9000(p)
     

Convergence of a sequence of Markov chains to a diffusion type process

Author(s): G. L. Kulinich; A. V. Yershov
Translated by: S. Kvasko
Original publication: Teoriya Imovirnostei ta Matematichna Statistika, vipusk 78 (2008).
Journal: Theor. Probability and Math. Statist. No. 78 (2009), 115-131.
MSC (2000): Primary 60H10; Secondary 34G10, 47A50, 47D06
Posted: August 4, 2009
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Abstract | References | Similar articles | Additional information

Abstract: A random polygonal line constructed from a sequence of series of homogeneous Markov chains is considered under rather nonregular dependence of their local characteristics on a series number. Sufficient conditions are obtained for the weak convergence of a random polygonal line to a diffusion type process. The conditions are expressed explicitly in terms of local characteristics of the Markov chains.


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Additional Information:

G. L. Kulinich
Affiliation: Department of General Mathematics, Faculty for Mechanics and Mathematics, National Taras Shevchenko University, Academician Glushkov Avenue 6, Kyiv 03127, Ukraine
Email: a_yershov@univ.kiev.ua

A. V. Yershov
Affiliation: Department of General Mathematics, Faculty for Mechanics and Mathematics, National Taras Shevchenko University, Academician Glushkov Avenue 6, Kyiv 03127, Ukraine

DOI: 10.1090/S0094-9000-09-00766-2
PII: S 0094-9000(09)00766-2
Keywords: A sequence of series of Markov chains, nonregular dependence of local characteristics of Markov chains on the number of a series, a random polygonal line, weak convergence, stochastic differential equation, diffusion type processes
Received by editor(s): 7/MAY/2007
Posted: August 4, 2009
Copyright of article: Copyright 2009, American Mathematical Society


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