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JOURNALS // Teoriya Veroyatnostei i ee Primeneniya // Archive

Teor. Veroyatnost. i Primenen., 1967 Volume 12, Issue 1, Pages 167–172 (Mi tvp698)

This article is cited in 268 papers

Short Communications

Necessary and Sufficient Conditions for Asymptotic Stability of Linear Stochastic Systems

R. Z. Khas'minskii

Moscow

Abstract: In this paper we consider the following two problems.
(1) Let $x_0$ be an arbitrary element of $E_l$, $x_n=A_nx_{n-1}$ and $A_1,A_2\dots$ be a sequence of equidistributed independent random matrices. When $\mathbf P\{|x_n|\to0\}=1$?
(2) What are the conditions for the solutions of equation (3) to tend to zero with probability 1 as $t\to\infty$?
The answers to these questions are given in terms of the invariant measure of some auxiliary Markov process. In the case of problem (2) and $l=2$ the density of this measure is given by (10).


 English version:
Theory of Probability and its Applications, 1967, 12:1, 144–147

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