Mathematical model of heavy diffusion particles system with drift
Konarovskyi V (2013)
Communications on Stochastic Analysis 7(4): 591-605.
Zeitschriftenaufsatz
| Veröffentlicht | Englisch
Download
Es wurden keine Dateien hochgeladen. Nur Publikationsnachweis!
Autor*in
Einrichtung
Abstract / Bemerkung
In the article we consider the model of coalescing diffusion particles which have some masses. At the moment of coalescing the masses of the particles are summed together and influence their motions. The system of processes that describes evolution of the particles is constructed by martingale methods. The Markov property of this system is stated and the asymptotic restriction on the mass growing of an individual particle is obtained.
Erscheinungsjahr
2013
Zeitschriftentitel
Communications on Stochastic Analysis
Band
7
Ausgabe
4
Seite(n)
591-605
eISSN
0973-9599
Page URI
https://pub.uni-bielefeld.de/record/2960270
Zitieren
Konarovskyi V. Mathematical model of heavy diffusion particles system with drift. Communications on Stochastic Analysis. 2013;7(4):591-605.
Konarovskyi, V. (2013). Mathematical model of heavy diffusion particles system with drift. Communications on Stochastic Analysis, 7(4), 591-605. https://doi.org/10.31390/cosa.7.4.07
Konarovskyi, Vitalii. 2013. “Mathematical model of heavy diffusion particles system with drift”. Communications on Stochastic Analysis 7 (4): 591-605.
Konarovskyi, V. (2013). Mathematical model of heavy diffusion particles system with drift. Communications on Stochastic Analysis 7, 591-605.
Konarovskyi, V., 2013. Mathematical model of heavy diffusion particles system with drift. Communications on Stochastic Analysis, 7(4), p 591-605.
V. Konarovskyi, “Mathematical model of heavy diffusion particles system with drift”, Communications on Stochastic Analysis, vol. 7, 2013, pp. 591-605.
Konarovskyi, V.: Mathematical model of heavy diffusion particles system with drift. Communications on Stochastic Analysis. 7, 591-605 (2013).
Konarovskyi, Vitalii. “Mathematical model of heavy diffusion particles system with drift”. Communications on Stochastic Analysis 7.4 (2013): 591-605.
Google Scholar