Weak Convergence of Markov Random Evolutions in a Multidimensional Space

Author

Samoilenko, Igor V.

Source

ISRN Probability and Statistics

Issue

Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-19, 19 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2012-08-16

Country of Publication

Egypt

No. of Pages

19

Main Subjects

Mathematics

Abstract EN

We study Markov symmetrical and nonsymmetrical random evolutions in Rn.

Weak convergence of Markov symmetrical random evolution to Wiener process and of Markov non-symmetrical random evolution to a diffusion process with drift is proved using problems of singular perturbation for the generators of evolutions.

Relative compactness in DRn×Θ[0,∞) of the families of Markov random evolutions is also shown.

American Psychological Association (APA)

Samoilenko, Igor V.. 2012. Weak Convergence of Markov Random Evolutions in a Multidimensional Space. ISRN Probability and Statistics،Vol. 2012, no. 2012, pp.1-19.
https://search.emarefa.net/detail/BIM-477353

Modern Language Association (MLA)

Samoilenko, Igor V.. Weak Convergence of Markov Random Evolutions in a Multidimensional Space. ISRN Probability and Statistics No. 2012 (2012), pp.1-19.
https://search.emarefa.net/detail/BIM-477353

American Medical Association (AMA)

Samoilenko, Igor V.. Weak Convergence of Markov Random Evolutions in a Multidimensional Space. ISRN Probability and Statistics. 2012. Vol. 2012, no. 2012, pp.1-19.
https://search.emarefa.net/detail/BIM-477353

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-477353