2015
DOI: 10.1090/tpms/953
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Asymptotic behavior of the martingale type integral functionals for unstable solutions to stochastic differential equations

Abstract: We consider functionals of the type t 0 g(ξ(s)) dW (s), t ≥ 0. Here g is a real valued and locally square integrable function, ξ is a unique strong solution of the Itô stochastic differential equation dξ(t) = a(ξ(t)) dt + dW (t), a is a measurable real valued bounded function such that |xa(x)| ≤ C. The behavior of these functionals is studied as t → ∞. The appropriate normalizing factor and the explicit form of the limit random variable are established.

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Cited by 7 publications
(7 citation statements)
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“…where the processes ξ T (t), W T (t) are related via equation (1), g T (x) is a family of measurable locally bounded real-valued functions, and F T (x) is a family of continuous real-valued functions. This paper is a continuation of [13][14][15]. Note that the behavior of the distributions of functionals β…”
Section: T and Cmentioning
confidence: 97%
See 2 more Smart Citations
“…where the processes ξ T (t), W T (t) are related via equation (1), g T (x) is a family of measurable locally bounded real-valued functions, and F T (x) is a family of continuous real-valued functions. This paper is a continuation of [13][14][15]. Note that the behavior of the distributions of functionals β…”
Section: T and Cmentioning
confidence: 97%
“…A similar problem for the functionals I T (t) in the case of equation (1) with a T (x) ≡ 0 was considered in [18] and in [11], for the class K 1 . In [13][14][15], the behavior of the distributions of the functionals β T (t) was studied in [13], β T (t) was studied in [14], and I T (t) was investigated in [15]. A more detailed review of the known results in this area is presented in [13][14][15].…”
Section: Introductionmentioning
confidence: 99%
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“…T (t)), where W * T (t) is a Wiener process. The same arguments as those used to get (9) in [7] yield that…”
Section: The Functions Qmentioning
confidence: 84%
“…For the practically physical system, the different stochastic perturbations are coming from many natural sources; sometimes, they can not be ignored and we need to incorporate them to the corresponding deterministic model; and then the stochastic differential equations (SDEs) are produced. In more recent decades, the initial and/or boundary value problems for SDEs have been extensively studied theoretically [8,15,20,23] and numerically [2,3,11,21,22,27,36]. However, it seems that there are less literatures related to the theoretical analysis or numerical approximation of stochastic wave equations with fractional derivative or driven by fractional noise.…”
Section: Introductionmentioning
confidence: 99%