Abstract:This article is devoted to study stochastic lattice dynamical systems driven by a fractional Brownian motion with Hurst parameter H ∈ (1/2, 1). First of all, we investigate the existence and uniqueness of pathwise mild solutions to such systems by the Young integration setting and prove that the solution generates a random dynamical system. Further, we analyze the exponential stability of the trivial solution.
“…Following the same procedure, one can obtain (6g). In particular, other desired estimates were proved in [4,Lemma 3.2]. Therefore, the proof of this Lemma is completed.…”
Section: Definition 22 the Generalized Fractional Derivative Of Thementioning
confidence: 68%
“…for all 0 ≤ s ≤ t. The first one can be obtained by the energy inequality and the last two follow by the mean value theorem, see also [4]. Furthermore, using these inequalities we can deduce the following properties of S(t).…”
Section: Definition 22 the Generalized Fractional Derivative Of Thementioning
confidence: 90%
“…Later on, the existence of a global forward attracting set of a stochastic lattice system with a Caputo fractional time derivative was established in the weak mean-square topology [32]. Recently, stochastic lattice dynamical systems driven by fractional Brownian motion with H ∈ (1/2, 1) was proved to have a unique pathwise mild solution, which is exponentially stable under suitable conditions [4]. There has, however, been little mention about the SLDS in the rough paths case, say, H ∈ (0, 1/2].…”
The fBm-driving rough stochastic lattice dynamical system with a general diffusion term is investigated. First, an area element in space of tensor is desired to define the rough path integral using the Chen-equality and fractional calculus. Under certain conditions, the considered equation is proved to possess a unique local mild path-area solution.
“…Following the same procedure, one can obtain (6g). In particular, other desired estimates were proved in [4,Lemma 3.2]. Therefore, the proof of this Lemma is completed.…”
Section: Definition 22 the Generalized Fractional Derivative Of Thementioning
confidence: 68%
“…for all 0 ≤ s ≤ t. The first one can be obtained by the energy inequality and the last two follow by the mean value theorem, see also [4]. Furthermore, using these inequalities we can deduce the following properties of S(t).…”
Section: Definition 22 the Generalized Fractional Derivative Of Thementioning
confidence: 90%
“…Later on, the existence of a global forward attracting set of a stochastic lattice system with a Caputo fractional time derivative was established in the weak mean-square topology [32]. Recently, stochastic lattice dynamical systems driven by fractional Brownian motion with H ∈ (1/2, 1) was proved to have a unique pathwise mild solution, which is exponentially stable under suitable conditions [4]. There has, however, been little mention about the SLDS in the rough paths case, say, H ∈ (0, 1/2].…”
The fBm-driving rough stochastic lattice dynamical system with a general diffusion term is investigated. First, an area element in space of tensor is desired to define the rough path integral using the Chen-equality and fractional calculus. Under certain conditions, the considered equation is proved to possess a unique local mild path-area solution.
“…In this section we recall some notations and necessary concepts for our objectives (see [3]). Let us start by considering two given values T 1 < T 2 .…”
In this article, a stochastic version of a SIR nonautonomous model previously introduced in [11] is considered. The noise considered is a fractional Brownian motion which satisfies the property of long range memory, which roughly implies that the decay of stochastic dependence with respect to the past is only subexponentially slow, what makes this kind of noise a realistic choice for problems with long memory in the applied sciences. The stochastic model containing a standard Brownian motion has been studied in [5].In this paper we analyse the existence and uniqueness of solutions to our stochastic model as well as their positiveness.
“…Therefore, as models, SLDEs have attracted extensive attention. For instance, refer to [2,3,5,6,7,19,26,30,37,38,39,42]. As far as we know, there are few studies about periodic solutions of SLDEs.…”
<p style='text-indent:20px;'>In this paper, we consider stochastic lattice differential equations (SLDEs). Firstly, we discuss the well-posedness of solutions for SLDEs. Then, via upper and lower solutions, we obtain a pair of monotone sequences starting at them respectively, and we prove the existence of periodic solutions in distribution.</p>
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