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Asymptotic behavior of plate equations driven by colored noise on unbounded domains
Boundary Value Problems volume 2023, Article number: 27 (2023)
Abstract
This paper investigates mainly the asymptotic behavior of the nonautonomous random dynamical systems generated by the plate equations driven by colored noise defined on \(\mathbb{R}^{n}\). First, we prove the well-posedness of the equation in the natural energy space. Secondly, we define a continuous cocycle associated with the solution operator. Finally, we establish the existence and uniqueness of random attractors of the equation by the uniform tail-ends estimates methods and the splitting technique.
1 Introduction
Colored noise was first introduced in [17, 21] in order to obtain information on the velocity of randomly moving particles, which cannot be obtained from white noise since the Wiener process is nowhere differentiable. Moreover, for many physical systems, the stochastic fluctuations are correlated and should be modeled by colored noise rather than white noise, see [14].
This paper is concerned with the asymptotic behavior of the plate equation driven by nonlinear colored noise in unbounded domains:
where \(\tau \in \mathbb{R}\), α, ν are positive constants, f and h are given nonlinearity, \(g \in L^{2}_{\mathrm{loc}}(\mathbb{R}, H^{1}(\mathbb{R}^{n}))\), and \(\zeta _{\delta}\) is a colored noise with correlation time \(\delta >0\).
The existence and uniqueness of pathwise random attractors of stochastic plate equations have been studied in [12, 13, 15, 16] in the case of bounded domains; and in [30–35] in the case of unbounded domains. We also mention that the global attractors of deterministic plate equations have been investigated in [2, 7, 9, 10, 24, 26–29, 37] in bounded domains, and in [5, 6, 11, 25, 36] on unbounded domains.
In all these publications ([30–35]), only the additive white noise and linear multiplicative white noise were considered. Note that the random equation (1.1) is driven by colored noise rather than white noise. In general, it is very difficult to study the asymptotic dynamics of differential equations driven by nonlinear white noise, including the random attractors. Indeed, only when the white noise is linear can the stochastic equations be transformed into a deterministic equations, then one can obtain the existence of random attractors of the plate equation (1.1). However, this transformation does not apply to stochastic equations driven by nonlinear white noise, and that is why we are currently unable to prove the existence of random attractors for systems with nonlinear white noise.
For the colored noise, even if it is nonlinear, we are able to show system (1.1) has a random attractor in \(H^{2}(\mathbb{R}^{n})\times L^{2}(\mathbb{R}^{n})\), which is quite different from the nonlinear white noise. The reader is referred to [3, 4, 22, 23] for more details on random attractors of differential equations driven by colored noise. In this paper, instead of using white noise, we will consider the random equation (1.1) driven by nonlinear colored noise. The main aim of this paper is to obtain the existence and uniqueness of random attractors for (1.1) when the diffusion term h is a nonlinear continuous function.
Note that system (1.1) is defined in the unbounded domain \(\mathbb{R}^{n}\) where the noncompactness of Sobolev embeddings on unbounded domains gives rise to difficulty in showing the pullback asymptotic compactness of solutions; to overcome this we use the tail-estimates method (as in [18]) and the splitting technique to obtain the pullback asymptotic compactness.
The rest of this article consists of four sections. In the next section, we define some functions sets and recall some useful results. In Sect. 3, we first establish the existence, uniqueness, and continuity of solutions in initial data of (1.1) in \(H^{2}(\mathbb{R}^{n})\times L^{2}(\mathbb{R}^{n})\), then define a nonautonomous random dynamical system based on the solution operator of problem (1.1). The last two sections are devoted to deriving necessary estimates of solutions of (1.1) and the existence of random attractors.
Throughout the paper, the inner product and the norm of \(L^{2}(\mathbb{R}^{n})\) will be denoted by \((\cdot , \cdot )\) and \(\|\cdot \|\), respectively. The letters c and \(c_{i}\) (\(i = 1, 2, \ldots \)) are generic positive constants that may depend on some parameters in the contexts.
2 Asymptotic compactness of cocycles
In this section, we define some functions sets and recall some useful results, see [19, 20]. These results will be used to establish the asymptotic compactness of the solutions and attractor for the random plate equation defined on the entire space \(\mathbb{R}^{n}\).
From now on, we assume \((\Omega ,\mathcal{F},P)\) is the canonical probability space where \(\Omega =\{\omega \in C(\mathbb{R},\mathbb{R}):\omega (0)=0\}\) with compact-open topology, \(\mathcal{F}\) is the Borel σ-algebra of Ω, and P is the Wiener measure on \((\Omega ,\mathcal{F})\). Recall the standard group of transformations \(\{\theta _{t}\}_{t\in \mathbb{R}}\) on Ω:
Let X be a Banach space with norm \(\|\cdot \|_{X}\). Suppose \(\Phi :\mathbb{R}^{+}\times \mathbb{R}\times \Omega \times X \rightarrow X\) is a continuous cocycle on X over \((\Omega ,\mathcal{F},P,\{\theta _{t}\}_{t\in \mathbb{R}})\). Let \(\mathcal{D}\) be a collection of some families of the nonempty subset of X:
Suppose Φ has a \(\mathcal{D}\)-pullback absorbing set \(K=\{K(\tau ,\omega ):\tau \in \mathbb{R},\omega \in \Omega \}\in \mathcal{D}\); that is, for every \(\tau \in \mathbb{R}\), \(\omega \in \Omega \), and \(D\in \mathcal{D}\) there exists \(T=T(\tau ,\omega ,D)>0\) such that for all \(t\geq T\),
Assume that
where both \(\Phi _{1}\) and \(\Phi _{2}\) are mappings from \(\mathbb{R}^{+}\times \mathbb{R}\times \Omega \times X\) to X.
Given \(k\in \mathbb{N}\), denote by \(\mathcal{O}_{k}=\{x\in \mathbb{R}^{n}:|x|< k\}\) and \(\tilde{\mathcal{O}}_{k}=\{x\in \mathbb{R}^{n}:|x|>k\}\). Let X be a Banach space with norm \(\|\cdot \|_{X}\) that consists of some functions defined on \(\mathbb{R}^{n}\). Given a function \(u:\mathbb{R}^{n}\rightarrow \mathbb{R}\), the restrictions of u to \(\mathcal{O}_{k}\) and \(\tilde{\mathcal{O}}_{k}\) are written as \(u|_{\mathcal{O}_{k}}\) and \(u|_{\tilde{\mathcal{O}}_{k}}\), respectively. Denote by
Suppose \(X_{\mathcal{O}_{k}}\) and \(X_{\tilde{\mathcal{O}}_{k}}\) are Banach spaces with norm \(\|\cdot \|_{\mathcal{O}_{k}}\) and \(\|\cdot \|_{\tilde{\mathcal{O}}_{k}}\), respectively, and
We further assume that for every \(\delta >0\), \(\tau \in \mathbb{R}\), and \(\omega \in \Omega \), there exists \(t_{0}=t_{0}(\delta ,\tau ,\omega ,K)>0\) and \(k_{0}=k_{0}(\delta ,\tau ,\omega )\geq 1\) such that
and
In addition, we assume that for every \(k\in \mathbb{N}\), \(t\in \mathbb{R}^{+}\), \(\tau \in \mathbb{R}\), and \(\omega \in \Omega \), the set
Theorem 2.1
If (2.1)–(2.6) hold, then the cocycle Φ is \(\mathcal{D}\)-pullback asymptotically compact in X; that is, the sequence \(\{ \Phi (t_{n},\tau -t_{n},\theta _{-t_{n}}\omega ,x_{n})\}^{\infty}_{n=1}\) is precompact in X for any \(\tau \in \mathbb{R}\), \(\omega \in \Omega \), \(D\in \mathcal{D}\), \(t_{n} \rightarrow \infty \) monotonically, and \(x_{n}\in D(\tau -t_{n}, \theta _{-t_{n}}\omega )\).
Theorem 2.2
Let \(\mathcal{D}\) be an inclusion closed collection of some families of nonempty bounded subsets of X, and Φ be a continuous cocycle on X over \((\Omega ,\mathcal{F}, P ,\{\theta _{t}\}_{t\in \mathbb{R} })\). Then, Φ has a unique \(\mathcal{D}\)-pullback random attractor \(\mathcal{A}\) in \(\mathcal{D}\) if Φ is \(\mathcal{D}\)-pullback asymptotically compact in X and Φ has a closed measurable \(\mathcal{D}\)-pullback absorbing set K in \(\mathcal{D}\).
3 Cocycles of random plate equations
In this section, we first establish the existence of a solution for problem (1.1), then we define a nonautonomous cocycle of (1.1).
Given \(\delta >0\), let \(\zeta _{\delta}(\theta _{t}\omega )\) be the unique stationary solution of the stochastic equation:
where W is a two-sided real-valued Wiener process on \((\Omega ,\mathcal{F},P)\). The process \(\zeta _{\delta}(\theta _{t}\omega )\) is called one-dimensional colored noise. Recall that there exists a \(\theta _{t}\)-invariant subset of full measure (see [1]), which is still denoted by Ω, such that for all \(\omega \in \Omega \), \(\zeta _{\delta}(\theta _{t}\omega )\) is continuous in \(t\in \mathbb{R}\) and
Let −Δ denote the Laplace operator in \(\mathbb{R}^{n}\), \(A=\Delta ^{2}\) with the domain \(D(A)=H^{4}(\mathbb{R}^{n}) \). We can also define the powers \(A^{\nu}\) of A for \(\nu \in \mathbb{R}\). The space \(V_{\nu} = D(A^{\frac{\nu}{4}})\) is a Hilbert space with the following inner product and norm
We introduce the following hypotheses to complete the uniform estimates.
Let \(f:\mathbb{R}^{n}\times \mathbb{R}\rightarrow \mathbb{R}\) be a continuous function and \(F(x,r)=\int ^{r}_{0}f(x,s)\,ds\) for all \(x\in \mathbb{R}^{n}\), \(r\in \mathbb{R}\) and \(s, s_{1}, s_{2}\in \mathbb{R}\),
where \(p>0\) for \(1\leq n\leq 4\) and \(0< p\leq \frac{4}{n-4}\) for \(n\geq 5\), \(\alpha _{1}\) is a positive constant, \(\varphi _{1}\in L^{1}(\mathbb{R}^{n})\), and \(\varphi \in L^{\infty}(\mathbb{R}^{n})\).
Let \(h:\mathbb{R}\times \mathbb{R}^{n}\times \mathbb{R}\rightarrow \times \mathbb{R}\) be continuous such that for all \(t, s, s_{1}, s_{2}\in \mathbb{R}\) and \(x\in \mathbb{R}^{n}\),
where \(\alpha _{2}\) and \(\alpha _{3}\) are positive constants, and \(\varphi _{2}\in L^{2}_{\mathrm{loc}}(\mathbb{R},L^{2}(\mathbb{R}^{n}))\).
Definition 3.1
Given \(\tau \in \mathbb{R}\), \(\omega \in \Omega \), \(T>0\), \(u_{0}\in H^{2}( \mathbb{R}^{n})\), and \(u_{1,0}\in L^{2}(\mathbb{R}^{n})\), a function \(u(\cdot ,\tau ,\omega ,u_{0},u_{1,0}):[\tau ,\tau +T]\rightarrow H^{2}( \mathbb{R}^{n})\) is called a (weak) solution of (1.1) if the following conditions are fulfilled:
(i) \(u(\cdot ,\tau ,\omega ,u_{0},u_{1,0})\in L^{\infty}(\tau ,\tau +T;H^{2}( \mathbb{R}^{n}))\cap C([\tau ,\tau +T],L^{2}(\mathbb{R}^{n}))\) with \(u(\tau ,\tau ,\omega ,u_{0},u_{1,0})=u_{0}\), \(u_{t}(\cdot ,\tau , \omega ,u_{0},u_{1,0})\in L^{\infty}(\tau ,\tau +T;L^{2}(\mathbb{R}^{n})) \cap C([\tau ,\tau +T],L^{2}(\mathbb{R}^{n}))\) with \(u_{t}(\tau ,\tau ,\omega ,u_{0},u_{1,0})=u_{1,0}\).
(ii) \(u(t,\tau ,\cdot ,u_{0},u_{1,0}):\Omega \rightarrow H^{2}(\mathbb{R}^{n})\) is \((\mathcal{F},\mathcal{B}(H^{2}(\mathbb{R}^{n}))\)-measurable, and \(u_{t}(t,\tau ,\cdot ,u_{0},u_{1,0}):\Omega \rightarrow L^{2}( \mathbb{R}^{n})\) is \((\mathcal{F},\mathcal{B}(L^{2}(\mathbb{R}^{n}))\)-measurable.
(iii) For all \(\xi \in C^{\infty}_{0}((\tau ,\tau +T)\times \mathbb{R}^{n})\),
In order to investigate the long-time dynamics, we are now ready to prove the existence and uniqueness of solutions of (1.1). We first recall the following well-known existence and uniqueness of solutions for the corresponding linear plate equations of (1.1).
Lemma 3.1
Let \(u_{0}\in H^{2}(\mathbb{R}^{n})\), \(u_{1,0}\in L^{2}(\mathbb{R}^{n})\) and \(g\in L^{1}(\tau ,\tau +T;L^{2}(\mathbb{R}^{n}))\) with \(\tau \in \mathbb{R}\) and \(T>0\). Then, the linear plate equation
with the initial conditions
possesses a unique solution u in the sense of Definition 3.1. In addition,
and there exists a positive number C depending only on ν (but independent of τ, T, \(u_{0}\), \(u_{1,0}\), and g) such that for all \(t \in [\tau , \tau + T]\),
Furthermore, the solution u satisfies the energy equation
and
for almost all \(t \in [\tau , \tau + T]\).
Theorem 3.1
Let \(\tau \in \mathbb{R}\), \(u_{0}\in H^{2}(\mathbb{R}^{n})\), \(u_{1,0}\in L^{2}( \mathbb{R}^{n})\). Suppose (3.2)–(3.6) hold, then:
(a) Problem (1.1) possesses a solution u in the sense of Definition 3.1;
(b) The solution u to problem (1.1) is unique, continuous with initial data in \(H^{2}(\mathbb{R}^{n})\times L^{2}(\mathbb{R}^{n})\), and
Moreover, the solution u to problem (1.1) satisfies the energy equation:
for almost all \(t\in [\tau ,\tau +T]\).
Proof
The proof will be divided into four steps. We first construct a sequence of approximate solutions, and then derive uniform estimates, in the last two steps we take the limit of those approximate solutions to prove the uniqueness of the solutions.
Step (i): Approximate solutions Given \(k\in \mathbb{N}\), define a function \(\eta _{k}:\mathbb{R}\rightarrow \mathbb{R}\) by
Then, for every fixed \(k\in \mathbb{N}\), the function \(\eta _{k}\) as defined by (3.12) is bounded and Lipschitz continuous; more precisely, for all \(s, s_{1}, s_{2}\in \mathbb{R}\)
For all \(x\in \mathbb{R}^{n}\) and \(t, s\in \mathbb{R}\), denote
By (3.2) we know that there exists \(k_{0}\in \mathbb{N}\) such that for all \(|s|\geq k_{0}\) and \(x\in \mathbb{R}^{n}\),
thus, for all \(k\geq k_{0}\) and \(x\in \mathbb{R}^{n}\),
By (3.3), (3.4), (3.13), (3.14), and (3.16) we know that for all \(s, s_{1}, s_{2}\in \mathbb{R}\) and \(x\in \mathbb{R}^{n}\),
and
By (3.17) we obtain that for all \(s\in \mathbb{N}\) and \(x\in \mathbb{R}^{n}\),
By (3.5), (3.6), (3.13), and (3.14) we obtain that for all \(k\geq 1\), \(t, s, s_{1}, s_{2}\in \mathbb{R}\) and \(x\in \mathbb{R}^{n}\),
By (3.3), (3.13), and (3.14), we find that for all \(k\in \mathbb{N}\), \(s, s_{1}, s_{2}\in \mathbb{N}\) and \(x\in \mathbb{R}^{n}\),
For every \(k\in \mathbb{N}\), consider the following approximate system for \(u_{k}\):
From (3.21), (3.23), \(\varphi \in L^{\infty}(\mathbb{R}^{n})\), and the standard method (see, e.g., [8]), it follows that for each \(\tau \in \mathbb{R}\), \(\omega \in \Omega \), \(u_{0}\in H^{2}(\mathbb{R}^{n})\), \(u_{1,0}\in L^{2}(\mathbb{R}^{n})\), problem (3.24) has a unique global solution \(u_{k}\) defined on \([\tau ,\tau +T]\) for every \(T>0\) in the sense of Definition 3.1. In particular, \(u_{k}(\cdot ,\tau ,\omega ,u_{0})\in C([\tau ,\tau +T],H^{2}( \mathbb{R}^{n}))\) and \(u_{k}(t,\tau ,\omega ,u_{0})\) is measurable with respect to \(\omega \in \Omega \) in \(H^{2}(\mathbb{R}^{n})\) for every \(t\in [\tau ,\tau +T]\). Similarly, \(\partial _{t}u_{k}(\cdot ,\tau ,\omega ,u_{0})\in C([\tau ,\tau +T],L^{2}( \mathbb{R}^{n}))\) and \(\partial _{t}u_{k}(t,\tau ,\omega ,u_{0})\) is measurable with respect to \(\omega \in \Omega \) in \(L^{2}(\mathbb{R}^{n})\) for every \(t\in [\tau ,\tau +T]\). Furthermore, the solution \(u_{k}\) satisfies the energy equation:
for almost all \(t\in [\tau ,\tau +T]\). Next, we use the energy equation (3.25) to derive a uniform estimate on the sequence \(\{u_{k}\}^{\infty}_{k=1}\).
Step (ii): Uniform estimates
For the last term on the right-hand side of (3.25), by (3.21) we have
By Young’s inequality, we obtain
By (3.25)–(3.27), it follows that for almost all \(t\in [\tau ,\tau +T]\),
where \(c_{1} > 0\) depends only on \(\alpha _{2}\), but independent of k.
By (3.18) and (3.28) we obtain
where \(c_{2} > 0\) depends only on ν and \(\alpha _{2}\), but is independent of k.
Multiplying (3.29) by \(e^{-c_{2}\int ^{t}_{0}(1+|\zeta _{\delta}(\theta _{r}\omega )|)\,dr}\), and then integrating the inequality on \((\tau , t)\), we have
By (3.19) we obtain, for all \(k\geq 1\),
Equations (3.30) and (3.31) imply that there exists a positive constant \(c_{3}=c_{3}(\tau ,T,\varphi ,\varphi _{1},\varphi _{2}, g,\omega , \delta ,\alpha _{1},\nu )\) (but independent of k, \(u_{0}\), and \(u_{1,0}\)) such that for all \(t\in [\tau ,\tau +T]\) and \(k\geq 1\),
which along with (3.18) show that for all \(t\in [\tau ,\tau +T]\) and \(k\geq k_{0}\),
thus,
and
By (3.17), there exists a positive constant \(c_{4}=c_{4}(p,n,\alpha _{1})\) such that
which along with the embedding \(H^{2}(\mathbb{R}^{n})\hookrightarrow L^{2(p+1)}(\mathbb{R}^{n})\) and the assumption \(\varphi \in L^{\infty}(\mathbb{R}^{n})\) implies that there exists \(c_{5}=c_{5}(p,n,\alpha _{1},\varphi )>0\) (independent of k) such that
By (3.33) and (3.35) we see that
By (3.20) we obtain
which together with (3.33) shows that
By (3.33), (3.34), (3.36), and (3.37), it follows that there exists \(u\in L^{\infty}(\tau ,\tau +T;H^{2}(\mathbb{R}^{n}))\) with \(\partial _{t}u\in L^{\infty}(\tau ,\tau +T;L^{2}(\mathbb{R}^{n}))\), \(\kappa _{1}\in L^{2}(\tau ,\tau +T;L^{2}(\mathbb{R}^{n}))\), \(\kappa _{2} \in L^{2}(\tau ,\tau +T;L^{2}(\mathbb{R}^{n}))\), \(v^{\tau +T}\in H^{2}( \mathbb{R}^{n})\) and \(v^{\tau +T}_{1}\in L^{2}(\mathbb{R}^{n})\) such that
It follows from (3.38) and (3.39) that there exists a subsequence that is still denoted \(u_{k}\), such that
By (3.13) and (3.44) we obtain that for almost all \((t,x)\in [\tau ,\tau +T]\times \mathbb{R}^{n}\),
By (3.45), we have
It follows from (3.40), (3.41), (3.46), and (3.47) that
Step (iii): Existence of solutions
Choosing an arbitrary \(\xi \in C^{\infty}_{0}((\tau ,\tau +T)\times \mathbb{R}^{n})\). By (3.24) we obtain
Letting \(k\rightarrow \infty \) in (3.50), it follows from (3.38), (3.39), (3.48), and (3.49) that for any \(\xi \in C^{\infty}_{0}((\tau ,\tau +T)\times \mathbb{R}^{n})\),
Note that
By (3.52) we obtain
We claim that
In fact, by (3.3) we obtain that there exists some \(c_{6}=c_{6}(p,n,\alpha _{1},\varphi )>0\) such that
which along with (3.52) leads to (3.54).
By (3.51)–(3.54), we can obtain
where \(H^{-2}(\mathbb{R}^{n})\) is the dual space of \(H^{2}(\mathbb{R}^{n})\).
Next, we prove u and \(u_{t}\) satisfy the initial conditions (1.1)2.
By (3.24), we obtain that for any \(v\in C^{\infty}_{0}( \mathbb{R}^{n})\) and \(\psi \in C^{2}([\tau ,\tau +T])\),
Letting \(k\rightarrow \infty \) in (3.56), by (3.38), (3.39), (3.42), (3.43), (3.48), and (3.49) we obtain, for any \(v\in C^{\infty}_{0}(\mathbb{R}^{n})\) and \(\psi \in C^{2}([\tau ,\tau +T])\),
By (3.51) we obtain that for any \(v\in C^{\infty}_{0}(\mathbb{R}^{n})\),
By (3.58) we find that for any \(v\in C^{\infty}_{0}(\mathbb{R}^{n})\) and \(\psi \in C^{2}([\tau ,\tau +T])\),
together with (3.57) to obtain, for \(v\in C^{\infty}_{0}(\mathbb{R}^{n})\) and \(\psi \in C^{2}([\tau ,\tau +T])\),
Let \(\psi \in C^{2}([\tau ,\tau +T])\) such that \(\psi (\tau +T)=\psi '(\tau +T)=\psi '(\tau )=0\) and \(\psi (\tau )=1\), then by (3.60) we have
Let \(\psi \in C^{2}([\tau ,\tau +T])\) such that \(\psi (\tau +T)=\psi '(\tau +T)=\psi (\tau )=0\) and \(\psi '(\tau )=1\), then by (3.60) we have
which together with (3.61) shows that u satisfies the initial conditions (1.1)2.
Through choosing proper \(\psi \in C^{2}([\tau ,\tau +T])\), we can also obtain from (3.60) that
which along with (3.42) and (3.43) implies that
Similar to (3.63) and (3.64), one can verify that for any \(t\in [\tau , \tau +T]\),
Thus, we obtain the claim. By (3.65) and (3.66), we obtain that u is a solution of (1.1) in the sense of Definition 3.1.
Step (iv): Uniqueness of solutions
Let \(u_{1}\) and \(u_{2}\) be solutions to (1.1), denote \(v=u_{1}-u_{2}\). Then, we have
By (3.8), we obtain
Since \(H^{2}(\mathbb{R}^{n})\hookrightarrow L^{2(p+1)}(\mathbb{R}^{n})\) for \(0< p\leq \frac{4}{n-4}\), by (3.3), we obtain
and hence
By (3.6) we obtain
It follows from (3.68)–(3.70) that
where \(c_{7} > 0\) depends on τ and T. Since \(u_{1}, u_{2}\in L^{\infty}(\tau ,\tau +T;H^{2}(\mathbb{R}^{n}))\), then applying Gronwall’s lemma on \([\tau ,\tau +T]\), we can obtain the uniqueness of solution as well as the continuous dependence property of the solution with initial data. □
We now define a mapping \(\Phi :\mathbb{R}^{+}\times \mathbb{R}\times \Omega \times H^{2}( \mathbb{R}^{n})\times L^{2}(\mathbb{R}^{n})\rightarrow H^{2}( \mathbb{R}^{n})\times L^{2}(\mathbb{R}^{n})\) such that for all \(t\in \mathbb{R}^{+}\), \(\tau \in \mathbb{R}\), \(\omega \in \Omega \) and \((u_{0},u_{1,0})\in H^{2}(\mathbb{R}^{n})\times L^{2}(\mathbb{R}^{n})\),
where u is the solution of (1.1). Then, Φ is a continuous cocycle on \(H^{2}(\mathbb{R}^{n})\times L^{2}(\mathbb{R}^{n})\) over \((\Omega ,\mathcal{F},P,\{\theta _{t}\}_{t\in \mathbb{R}})\).
4 Uniform estimates of solutions
In this section, we derive necessary estimates of solutions of (1.1) under stronger conditions than (3.2)–(3.6) on the nonlinear functions f and h. These estimates are useful for proving the asymptotic compactness of the solutions and the existence of pullback random attractors.
From now on, we assume f satisfies: for all \(x\in \mathbb{R}^{n}\) and \(s\in \mathbb{R}\),
where \(p>0\) for \(1\leq n\leq 4\) and \(0< p\leq \frac{4}{n-4}\) for \(n\geq 5\), \(\gamma \in (0,1]\), \(\alpha _{4}\), ς are positive constants, \(\varphi _{3}\in L^{1}(\mathbb{R}^{n})\), and \(\varphi _{4}\in L^{2}(\mathbb{R}^{n})\cap L^{\infty}(\mathbb{R}^{n})\), \(\iota >0\) will be denoted later.
By (3.3) and (4.1) we obtain that for all \(x\in \mathbb{R}^{n}\) and \(s\in \mathbb{R}\),
Assume the nonlinearity h satisfies: for all \(x\in \mathbb{R}^{n}\) and \(t, s\in \mathbb{R}\),
where \(\varphi _{5}\in L^{\infty}(\mathbb{R}^{n})\cap L^{2+\frac{4}{p}}( \mathbb{R}^{n})\), \(\varphi _{6}\in L^{2}(\mathbb{R}^{n})\), and \(\varphi _{7}\in L^{2}(\mathbb{R}^{n})\cap L^{\infty}(\mathbb{R}^{n})\).
Let \(\mathcal{D}\) be the set of all tempered families of nonempty bounded subsets of \(H^{2}(\mathbb{R}^{n})\times L^{2}(\mathbb{R}^{n})\). \(D=\{D(\tau ,\Omega ):\tau \in \mathbb{R},\omega \in \Omega \}\) is called tempered if for any \(c>0\),
where \(\|D\|_{H^{2}(\mathbb{R}^{n})\times L^{2}(\mathbb{R}^{n})}=\sup_{\xi \in D}\|\xi \|_{H^{2}(\mathbb{R}^{n})\times L^{2}( \mathbb{R}^{n})}\).
Under \(\alpha >0\), \(\nu >0\), and \(\gamma \in (0, 1]\), we can choose a sufficiently small positive constant ε such that
We also assume
Lemma 4.1
Let (3.2), (3.3), (3.6), (4.1), (4.2), and (4.5)–(4.8) hold. Then, for any \(\tau \in \mathbb{R}\), \(\omega \in \Omega \) and \(D\in \mathcal{D}\), there exists \(T=T(\tau ,\omega ,D)>0\) such that for all \(t\geq T\), the solution of (1.1) satisfies
where \((u_{0},u_{1,0}) \in D(\tau -t,\theta _{-t}\omega )\) and \(M_{1}\) is a positive constant independent of τ, ω, and D.
Proof
By (3.9), (3.11), (4.1), and (4.10) we obtain, for almost all \(t\in [\tau ,\tau +T]\),
For the second term on the right-hand side of (4.10), using (4.2) and (4.5) we have
where \(c_{4}>0\) depends on α, ν, γ, ε.
It follows from (4.10) and (4.11) and rewriting the result obtained, we have
where \(c_{5}>0\) depends on α, ν, γ, ε.
For the second term on the right-hand side of (4.12) we obtain
By (4.12) and (4.13) we obtain
Multiplying (4.14) by \(e^{\frac{1}{4}\varepsilon \gamma t}\), and then integrating the inequality \([\tau -t,\tau ]\), after replacing ω by \(\theta _{-\tau}\omega \), we obtain
For the first term on the right-hand side of (4.15), by (4.4) we obtain
By (4.15) and (4.16) we find that there exists \(T=T(\tau ,\omega ,D)>0\) such that for all \(t\geq T\),
By (4.7) we obtain
It follows from (4.2), (4.17), and (4.18) that for all \(t\geq T\),
Then, the proof is completed. □
Based on Lemma 4.1, we can easily obtain the following Lemma that implies the existence of tempered random absorbing sets of Φ.
Lemma 4.2
If (3.2), (3.3), (3.6), (4.1), (4.2), and (4.5)–(4.9) hold, then the cocycle Φ possesses a closed measurable \(\mathcal{D}\)-pullback absorbing set \(B=\{B(\tau ,\omega ):\tau \in \mathbb{R},\omega \in \Omega \}\in \mathcal{D}\), which is given by
where
In order to derive the uniform tail-estimates of the solutions of (1.1) for large space variables when time is long enough, we need to derive the regularity of the solutions in a space higher than \(H^{2}(\mathbb{R}^{n})\).
Lemma 4.3
Let (3.2), (3.3), (3.6), (4.1), (4.2), and (4.5)–(4.8) hold. Then, for any \(\tau \in \mathbb{R}\), \(\omega \in \Omega \) and \(D\in \mathcal{D}\), there exists \(T=T(\tau ,\omega ,D)>0\) such that for all \(t\geq T\), the solution of (1.1) satisfies
where \((u_{0},u_{1,0}) \in D(\tau -t,\theta _{-\tau}\omega )\) and \(M_{2}\) is a positive number independent of τ, ω, and D.
Proof
Taking the inner product of (1.1)1 with \(A^{\frac{1}{2}} u\) in \(L^{2}(\mathbb{R}^{n})\), we have
Taking the inner product of (1.1)1 with \(A^{\frac{1}{2}} u_{t}\) in \(L^{2}(\mathbb{R}^{n})\), we find that
By (4.20) and (4.21), we obtain
For the right-hand side of (4.22), using (4.5), (4.6), and Lemma 4.1, we have
From (4.3) and Lemma 4.1 we find
where the definition of L see Lemma 4.2, and C is the positive constant satisfying
Choosing
we obtain
which can be rewritten as
For the last term on the right-hand side of (4.25) we have
from which together with (4.25), we obtain
Similar to the remainder of Lemma 4.1, we can obtain the desired result. □
Lemma 4.4
Let (3.2), (3.3), (3.6), (4.1), (4.2), and (4.5)–(4.8) hold. Then, for every \(\eta >0\), \(\tau \in \mathbb{R}\), \(\omega \in \Omega \) and \(D\in \mathcal{D}\), there exists \(T_{0}=T_{0}(\eta ,\tau ,\omega ,D)>0\) and \(m_{0}=m_{0}(\eta ,\tau ,\omega )\geq 1\) such that for all \(t\geq T_{0}\), \(m\geq m_{0}\) and \((u_{0},u_{1,0}) \in D(\tau -t,\theta _{-\tau}\omega )\), the solution of (1.1) satisfies
Proof
Let \(\rho :\mathbb{R}^{n}\rightarrow \mathbb{R}\) be a smooth function such that \(0\leq \rho (x)\leq 1\) for all \(x\in \mathbb{R}^{n}\), and
For every \(m\in \mathbb{N}\), let
Then, there exist positive constants \(c_{11}\) and \(c_{12}\) independent of m such that \(|\nabla \rho _{m}(x)|\leq \frac{1}{m}c_{11}\), \(|\Delta \rho _{m}(x)|\leq \frac{1}{m}c_{12}\) for all \(x\in \mathbb{R}^{n}\) and \(m\in \mathbb{N}\).
Similar to the energy equation (3.11), we have
Taking the inner product of (1.1)1 with \(\rho _{m}(x)u\) in \(L^{2}(\mathbb{R}^{n})\), we have
By (4.27) and (4.28), we obtain
Similar to the arguments of (4.11), we know that the first term on the right-hand side of (4.30) is bounded by
where \(c_{13}\) depends only on α, ν, γ, and ε.
By (4.30) and (4.31) we obtain
where \(c_{14}>0\) depends only on α, ν, γ, and ε, but not on m.
By (4.32) we obtain
By Young’s inequality we obtain
By (4.33) and (4.34) we obtain
Multiplying (4.36) by \(e^{\frac{1}{4}\varepsilon \gamma t}\), and then integrating the inequality \([\tau -t,\tau ]\), after replacing ω by \(\theta _{-\tau}\omega \), we obtain
Next, we estimate the right-hand side of (4.37). By (4.16), we know that there exists \(T_{1}(\eta ,\tau ,\omega ,D)>0\) such that for all \(t\geq T_{1}\),
For the second and the third terms on the right-hand side of (4.37) we obtain
By (4.8) and with the conditions of \(\varphi _{i}(x)\) (\(i=1,3,5,6\)) satisfied, we know that there exists \(m_{1}=m_{1}(\eta ,\tau ,\omega )\geq 1\) such that for all \(m\geq m_{1}\), the right-hand of side of (4.39) is bounded by η, i.e.,
For the last term in (4.37), by Lemma 4.1 and Lemma 4.3, we know that there exists \(T_{2}(\eta ,\tau ,\omega ,D)\geq T_{1}\) such that for all \(t\geq T_{2}\),
where \(c_{15}>0\) depends only on α, ν, γ, ε, τ, and ω, but not on m. Thus, there exists \(m_{2}=m_{2}(\eta ,\tau ,\omega )\geq m_{1}\) such that for all \(m\geq m_{2}\) and \(t\geq T_{2}\),
By (4.37), (4.38), (4.40), and (4.41) we see that for all \(m\geq m_{2}\) and \(t\geq T_{2}\),
By (4.7) we have
which together with (4.2) and (4.42) yields that for all \(m\geq m_{2}\) and \(t\geq T_{2}\),
Since \(\varphi _{1}\in L^{1}(\mathbb{R}^{n})\), there exists \(m_{3}=m_{3}(\eta ,\tau ,\omega )\geq m_{2}\) such that for all \(m\geq m_{3}\),
From (4.43) and (4.44) we obtain, for all \(m\geq m_{3}\) and \(t\geq T_{2}\),
□
5 Existence of random attractors
In this section, we present the existence and uniqueness of \(\mathcal{D}\)-pullback random attractors of (1.1).
Let u be the solution of (1.1). Denote \(u=\tilde{v}+v\), where ṽ and v are the solutions of the following equations, respectively,
and
Lemma 5.1
Suppose (4.7) and (4.8) hold. Then, for every \(\tau \in \mathbb{R}\), \(\omega \in \Omega \) and \(D\in \mathcal{D}\), there exists \(T=T(\tau ,\omega ,D)>0\) such that for all \(t\geq T\) and \(r\in [-t,0]\), the solution ṽ of (5.1) satisfies
where \((u_{0},u_{1,0})\in D(\tau -t,\theta _{-t}\omega )\) and \(M_{2}\) is a positive number independent of τ, ω, and D.
Proof
From (3.8), (3.9), and (5.1) we see that
In addition, we obtain
which can be rewritten as
It follows from (4.7) and (5.5) that
Applying Gronwall’s lemma to (5.6), we obtain for all \(\tau \in \mathbb{R}\), \(t\geq 0\), \(r\in [-t,0]\) and \(\omega \in \Omega \),
By (4.7) we have
By (5.7) and (5.8) we see that for all \(\tau \in \mathbb{R}\), \(t\geq 0\), \(r\in [-t,0]\) and \(\omega \in \Omega \),
Similar to (4.16), one can verify that
which along with (5.9) yields the desired result. □
Based on Lemma 5.1, we infer that system (5.1) has a tempered pullback random absorbing set.
Lemma 5.2
Suppose (4.8) and (4.9) hold, then (5.1) possesses a closed measurable \(\mathcal{D}\)-pullback absorbing set \(B_{1}=\{B_{1}(\tau ,\omega ):\tau \in \mathbb{R},\omega \in \Omega \}\in \mathcal{D}\), which is given by
where
Lemma 5.3
Suppose (4.8) and (4.9) hold, then the sequence of the solutions to (5.1)
converges in \(H^{2}(\mathbb{R}^{n})\times L^{2}(\mathbb{R}^{n})\) for any \(\tau \in \mathbb{R}\), \(\omega \in \Omega \), \(D\in \mathcal{D}\), \(t_{n} \rightarrow \infty \) monotonically, and \((u^{(n)}_{0},u^{(n)}_{1,0})\in D(\tau -t_{n},\theta _{-t_{n}}\omega )\).
Proof
Let \(m>n\) and
for \(t\geq \tau -t_{n}\).
By (5.1) we obtain
Similar to (5.9) with \(r = 0\), \(t = t_{n}\), and \(g = 0\), we obtain
which together with (5.12)2, gives
By (5.9) with \(r = -t_{n}\), and \(t = t_{m}\), we obtain
It follows from (5.14) and (5.15) that for \(m > n\rightarrow \infty \),
which together with (5.11) implies \(\{\tilde{v}(\tau ,\tau -t_{n},\theta _{-\tau}\omega ,u^{(n)}_{0}), \tilde{v}_{t}(\tau ,\tau -t_{n},\theta _{-\tau}\omega ,u^{(n)}_{1,0}) \}^{\infty}_{n=1} \) is a Cauchy sequence in \(H^{2}(\mathbb{R}^{n})\times L^{2}(\mathbb{R}^{n})\). This complete the proof. □
Lemma 5.4
Suppose (4.8) and (4.9) hold, then (5.1) has a unique \(\mathcal{D}\)-pullback random attractor \(\mathcal{A}_{1}=\{\mathcal{A}_{1}(\tau ,\omega ):\tau \in \mathbb{R}, \omega \in \Omega \}\in \mathcal{D}\) in \(H^{2}(\mathbb{R}^{a}n)\times L^{2}(\mathbb{R}^{n})\), which is actually a singleton; that is, \(\mathcal{A}_{1}(\tau ,\omega )\) consisting of a single point for all \(\tau \in \mathbb{R}\), \(\omega \in \Omega \).
Proof
From Lemmas 5.2 and 5.3 by applying the abstract results in [19], we can obtain the existence and uniqueness of the \(\mathcal{D}\)-pullback random attractor \(\mathcal{A}_{1}\in \mathcal{D}\) of (5.1) in \(H^{2}(\mathbb{R}^{n})\times L^{2}(\mathbb{R}^{n})\) immediately.
Next, we prove \(\mathcal{A}_{1}\) is a singleton. Suppose \(\{t_{n}\}^{\infty}_{ n=1}\) 1 is a sequence of numbers such that \(t_{n}\rightarrow \infty \) as \(n\rightarrow \infty \). Given \(\tau \in \mathbb{R}\), \(\omega \in \Omega \), let \((z^{(n)}_{0},z^{(n)}_{1,0}), (y^{(n)}_{0},y^{(n)}_{1,0})\in \mathcal{A}_{1}(\tau -t_{n},\theta _{-t_{n}}\omega )\).
Similar to (5.13) we have
Due to \(\mathcal{A}_{1}\in \mathcal{D}\), we see that the right-hand side of (5.16) tends to zero as \(n\rightarrow \infty \), and thus we obtain
which, together with the invariance of \(\mathcal{A}_{1}\), shows that the \(\mathcal{D}\)-pullback random attractor \(\mathcal{A}_{1}\) is a singleton. This complete the proof. □
To obtain the asymptotic compactness of the solutions of (5.2), we need the following Lemma.
Lemma 5.5
Let \(u_{0}\in H^{2}(\mathbb{R}^{n})\), \(u_{1,0}\in L^{2}(\mathbb{R}^{n})\), \(\tau \in \mathbb{R}\), \(\omega \in \Omega \) and \(T>0\). If (3.2), (3.3), (3.6), (4.1), (4.2), and (4.5)–(4.8) hold, then the solution of (5.2) satisfies, for all \(t\in [\tau ,\tau +T]\),
where C is a positive number depending on τ, ω, T and R when \(\|(u_{0},u_{1,0})\|_{H^{2}(\mathbb{R}^{n})\times L^{2}(\mathbb{R}^{n})} \leq R\).
Proof
This is an immediate consequence of Lemma 4.3. □
Lemma 5.6
Let (3.2), (3.3), (3.6), (4.1), (4.3), and (4.5)–(4.9) hold. Then, the cocycle Φ is \(\mathcal{D}\)-pullback asymptotically compact in \(H^{2}(\mathbb{R}^{n})\times L^{2}(\mathbb{R}^{n})\); that is, the sequence \(\{\Phi (t_{n},\tau -t_{n},\theta _{-t_{n}}\omega ,(u^{(n)}_{0},u^{(n)}_{1,0}) \}^{\infty}_{n=1}\) has a convergent subsequence in \(H^{2}(\mathbb{R}^{n})\times L^{2}(\mathbb{R}^{n})\) for any \(\tau \in \mathbb{R}\), \(\omega \in \Omega \), \(D\in \mathcal{D}\), \(t_{n} \rightarrow \infty \), and \((u^{(n)}_{0},u^{(n)}_{1,0})\in D(\tau -t_{n},\theta _{-t_{n}}\omega )\).
Proof
Given \(t\in \mathbb{R}^{+}\), \(\tau \in \mathbb{R}\), \(\omega \in \Omega \), and \((u_{0},u_{1,0}\in H^{2}(\mathbb{R}^{n})\times L^{2}(\mathbb{R}^{n})\), define
where ṽ and v are the solutions of (5.1) and (5.2), respectively.
By (3.72) we have
Let \(B\in \mathcal{D}\) be the \(\in \mathcal{D}\)-pullback absorbing set of Φ given by (4.19). From Lemmas 4.2, 4.4, and 5.4 we see that for every \(\delta >0\) there exists \(t_{0}=t_{0}(\delta ,\tau ,\omega ,B)>0\) and \(k_{0}=k_{0}(\delta ,\tau ,\omega )\geq 1\) such that for all \((u_{0},u_{1,0})\in B(\tau -t_{0},\theta _{-t_{0}}\omega )\),
with \(\tilde{\mathcal{O}}_{k_{0}}=\{x\in \mathbb{R}^{n}:|x|>k_{0}\}\), and
in \(H^{2}(\mathbb{R}^{n})\times L^{2}(\mathbb{R}^{n})\).
In addition, by Lemma 5.5 we know that for every \(t\in \mathbb{R}^{+}\), \(\tau \in \mathbb{R}\), \(\omega \in \Omega \), and \(k\in \mathbb{N}\),
and thus for each \(k\in \mathbb{N}\),
with \(\mathcal{O}_{k}=\{x\in \mathbb{R}^{n}:|x|< k\}\).
It follows from (5.17)–(5.20) that all conditions of Theorem 2.1 are satisfied, hence, Φ is \(\mathcal{D}\)-pullback asymptotically compact in \(H^{2}(\mathbb{R}^{n})\times L^{2}(\mathbb{R}^{n})\). □
Since Lemma 4.2 implies a closed measurable \(\mathcal{D}\)-pullback absorbing set for Φ, and Φ is \(\mathcal{D}\)-pullback asymptotically compact in \(H^{2}(\mathbb{R}^{n})\times L^{2}(\mathbb{R}^{n})\) from Lemma 5.6, we immediately obtain the following existence theorem by Theorem 2.2.
Theorem 5.1
Let (3.2), (3.3), (3.6), (4.1), (4.3), and (4.5)–(4.9) hold. Then, the cocycle Φ has a unique \(\mathcal{D}\)-pullback random attractor in \(H^{2}(\mathbb{R}^{n})\times L^{2}(\mathbb{R}^{n})\).
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Yao, X.B. Asymptotic behavior of plate equations driven by colored noise on unbounded domains. Bound Value Probl 2023, 27 (2023). https://doi.org/10.1186/s13661-023-01715-4
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DOI: https://doi.org/10.1186/s13661-023-01715-4
MSC
- 35B40
- 60H15
- 35R60
- 35B41
- 35L05
Keywords
- Plate equation
- Colored noise
- Asymptotic compactness
- Random attractor
- Unbounded domain