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.
Similar content being viewed by others
REFERENCES
I. I. Gikhman and A. V. Skorokhod, Stochastic Differential Equations[in Russian], Naukova Dumka, Kiev (1968).
A. V. Mel'nikov, “Stochastic differential equations: nonsmoothness of coefficients, regression models, and stochastic approximation,” Usp. Mat. Nauk,51, No.5, 43–136 (1996).
V. V. Buldygin and S. A. Solntsev, Functional Methods in Problems of Summation of Random Variables[in Russian], Naukova Dumka, Kiev (1989).
F. R. Gantmakher, Theory of Matrices[in Russian], Nauka, Moscow (1966).
Author information
Authors and Affiliations
Rights 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
Issue Date:
DOI: https://doi.org/10.1023/A:1010367716473