Skip to main content
Log in

On the Asymptotic Properties of Solutions of Linear Stochastic Differential Equations in Rd

  • Published:
Ukrainian Mathematical Journal Aims and scope

Abstract

We investigate necessary and sufficient conditions for the almost-sure boundedness of normalized solutions of linear stochastic differential equations in R dand their almost-sure convergence to zero. We establish an analog of the bounded law of iterated logarithm.

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

REFERENCES

  1. I. I. Gikhman and A. V. Skorokhod, Stochastic Differential Equations[in Russian], Naukova Dumka, Kiev (1968).

    Google Scholar 

  2. A. V. Mel'nikov, “Stochastic differential equations: nonsmoothness of coefficients, regression models, and stochastic approximation,” Usp. Mat. Nauk,51, No.5, 43–136 (1996).

    Google Scholar 

  3. V. V. Buldygin and S. A. Solntsev, Functional Methods in Problems of Summation of Random Variables[in Russian], Naukova Dumka, Kiev (1989).

    Google Scholar 

  4. F. R. Gantmakher, Theory of Matrices[in Russian], Nauka, Moscow (1966).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Buldygin, V.V., Koval', V.O. On the Asymptotic Properties of Solutions of Linear Stochastic Differential Equations in Rd . Ukrainian Mathematical Journal 52, 1334–1345 (2000). https://doi.org/10.1023/A:1010367716473

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1010367716473

Keywords

Navigation