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Classification of the Asymptotic Behaviour of Globally Stable Linear Differential Equations with Respect to State-independent Stochastic Perturbations

机译:全球稳定线性系统渐近性的分类   关于状态无关随机变量的微分方程   扰动

摘要

In this paper we consider the global stability of solutions of an affinestochastic differential equation. The differential equation is a perturbedversion of a globally stable linear autonomous equation with unique zeroequilibrium where the diffusion coefficient is independent of the state. Wefind necessary and sufficient conditions on the rate of decay of the noiseintensity for the solution of the equation to be globally asymptoticallystable, stable but not asymptotically stable, and unstable, each withprobability one. In the case of stable or bounded solutions, or when solutionsare a.s. unstable asymptotically stable in mean square, it follows that thenorm of the solution has zero liminf, by virtue of the fact that $\|X\|^2$ haszero pathwise average a.s. Sufficient conditions guaranteeing the differenttypes of asymptotic behaviour which are more readily checked are developed. Itis also shown that noise cannot stabilise solutions, and that the results canbe extended in all regards to affine stochastic differential equations withperiodic coefficients.
机译:在本文中,我们考虑了仿射随机微分方程解的全局稳定性。微分方程是具有唯一零平衡的全局稳定线性自治方程的扰动版本,其中扩散系数与状态无关。在噪声强度的衰减率上找到了必要和充分的条件,以使方程的解全局渐近稳定,稳定但不是渐近稳定和不稳定,每个都有一个概率。在稳定或有界解的情况下,或在有解的情况下。不稳定的渐近稳定的均方,因此,由于$ \ | X \ | ^ 2 $的路径平均a.s为零,因此解的范数为零。开发了足够条件来保证渐进行为的不同类型,这些条件更易于检查。还表明,噪声不能使解稳定,并且可以在所有方面将结果推广到具有周期系数的仿射随机微分方程。

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