Skip to main content
Log in

Averagings in stochastic systems with dependence on the whole past

  • Published:
Ukrainian Mathematical Journal Aims and scope

Abstract

The averaging principle is justified for stochastic systems, subjected to weakly dependent random actions. For normalized fluctuations of the solutions of the initial equation with respect to the solution of the averaged equation, one constructs exponential estimates of the type of Bernshtein's inequalities of sums of independent random variables.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Literature cited

  1. I. A. Ibragimov and Yu. V. Linnik, Independent and Stationary Sequences of Random Variables, Wolters-Noordhoff, Groningen (1971).

    Google Scholar 

  2. I. I. Gikhman and I. A. Kadyrova, “Certain results of the investigation of stochastic differential equations,” in: Theory of Random Processes, No. 1 [in Russian], Naukova Dumka, Kiev (1972), pp. 57–68.

    Google Scholar 

  3. R. Z. Khas'minskii, “On random processes defined by differential equations with a small parameter,” Teor. Veroyatn. Primen.,11, No. 2, 240–259 (1966).

    Google Scholar 

  4. R. Z. Khas'minskii, “A limit theorem for solutions of differential equations with a random right-hand side,” Teor. Veroyatn. Primen.,11, No. 3, 444–462 (1966).

    Google Scholar 

  5. B. V. Bondarev, Limit Theorems for Stochastic Differential Equations with a Random Right-hand Side. Author's Abstract of Candidate's Dissertation, Donetsk (1974).

  6. A. I. Borodin, “A limit theorem for the solutions of differential equations with a random right-hand side,” Teor. Veroyatn. Primen.,22, No. 3, 498–512 (1977).

    Google Scholar 

  7. Ya. S. Brodskii and B. Ya. Lukacher, “Limit theorems for solutions of differential equations with a random right-hand side,” Dokl. Akad. Nauk UkrSSR, Ser. A, No. 5, 3–6 (1983).

    Google Scholar 

  8. H. Watanabe, “Fluctuations in certain dynamical systems with averaging,” Stochastic Process. Appl.,21, No. 1, 147–157 (1985).

    Google Scholar 

  9. F. Moricz, “Exponential estimates for the maximum of partial sums. I. Sequences of rv's,” Acta Math. Acad. Sci. Hungar.,33, No. 1–2, 159–167 (1979).

    Google Scholar 

  10. P. Billingsley, Convergence of Probability Measures, Wiley, New York (1968).

    Google Scholar 

  11. I. I. Gikhman, “Concerning a theorem of Bogolyubov,” Ukr. Mat. Zh.,4, No. 2, 215–219 (1952).

    Google Scholar 

  12. I. I. Gikhman, “Stochastic differential equations and limit theorems,” in: Proc. 6th Math. Summer School: Probability and Math. Statist., Akad. Nauk UkrSSR, Inst., Mat., Kiev (1969), pp. 5–58.

    Google Scholar 

  13. O. B. Golets and E. F. Tsar'kov, On averaging in differential-functional equations random parameters. Preprint No. 88.19, Inst. Mat. Akad. Nauk UkrSSR, Kiev (1988).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Additional information

Translated from Ukrainskii Matematicheskii Zhurnal, Vol. 42, No. 4, pp. 443–451, April, 1990.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Bondarev, B.V. Averagings in stochastic systems with dependence on the whole past. Ukr Math J 42, 391–397 (1990). https://doi.org/10.1007/BF01071323

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01071323

Keywords

Navigation