1. Introduction
In this paper, we investigate the dynamics of solutions of stochastic delay parabolic equations with deterministic non-autonomous forcing defined on a bounded domain
(
):
for
and
, with the boundary condition and initial condition
where
,
is a positive constant,
is the delay time of the system,
is the diffusion coefficient,
F is a superlinear source term,
f is a nonlinearity capturing the time delay,
g is a deterministic time-dependent forcing,
are given functions defined on
, and
are independent two-sided real-valued Wiener processes on a probability space which will be specified later.
Stochastic differential equations of this type arise from physical evolution phenomena when time delay is taken into account. For the deterministic version of problem (
1)-(
3), the existence of attractors has been investigated in both autonomous case [
17,
18] and non-autonomous case [
1]. To reveal the essential dynamics of random systems with wide fluctuations, the concept of random attractor was introduced in [
7,
8,
9,
10,
12,
14,
15,
16,
20,
22,
26,
28,
30,
32,
33,
34,
35,
36] as an extension of the theory of attractors for deterministic equations in [
3,
4,
6,
24]. The existence of random attractors has been investigated for stochastic PDEs without delay and time-dependent forcing in [
11,
13]. For equations with delays, the existence of attractors was also obtained in [
19,
29] in the autonomous stochastic case. The existence of random attractors was established in [
21,
27] for the non-autonomous systems without delay. However, there are very few works in the literature to address the problem whether random attractors exist for stochastic PDEs with delay and time-dependent forcing. What dynamics will random attractors exhibit when the delay approaches zero? All that motivate us to investigate the dynamics of problem (
1)-(
3), explore the interaction of delay and time-dependent forcing under random perturbations.
More precisely, we will investigate the existence and upper semicontinuity of random attractors of problem (
1)-(
3). For this purpose, we first show that the systems generate continuous random dynamical systems. However, it is not known whether a stochastic parabolic equation with delay and time-dependent forcing generates a non-autonomous random dynamical system, which is a extremely difficult issue in the field of related research. To overcome the difficulty, we shall transform the stochastic equations into deterministic versions with random coefficients through Ornstein-Uhlenbeck transformation, exploit and develop the ideas from the theory of deterministic PDEs with polynomial nonlinearity and delay PDEs with Lipschitz nonlinearity. Then, we prove the existence and uniqueness of random attractors by establishing the asymptotic compactness and absorbing set of the equations. The critical technique is to derive uniform estimates of solutions with respect to delay and time-dependent forcing for the nonlinearity satisfying an arbitrary polynomial growth condition. Finally, we establish the upper semicontinuity of random attractors of problem (
1)-(
3) as the delay goes to zero. The most important step is to establish the convergence of solutions. It is worth mentioning that our main works improve the relevant results in [
19] and our method is applicable for other non-autonomous stochastic delay PDEs.
The paper is organized as follows. In the next section, we establish the existence of a continuous non-autonomous random dynamical system. In
Section 3, we conduct uniform estimates of solutions which are necessary for proving the pullback absorbing property and the pullback asymptotic compactness of the equation. Then we establish the existence of random attractors in
Section 4. In
Section 5, we obtain the upper semicontinuity of random attractors of problem (
1)-(
3) when the delay approaches zero. In the last section, we present the conclusion based on the results obtained.
2. Mathematical Preparation
In this section, our main goal is to establish the existence of a continuous non-autonomous random dynamical system generated by the stochastic delay parabolic equation (
1).
We first recall some basic results about function spaces which will be used later. Let
and
be the norm and inner product of
, respectively. The norm of
is written as
. Assume that
is the space of all continuous functions from
to
X with norm
for
. The natural energy space for problem (
1)-(
3) involves the space
defined as the closure of
with respect to the norm
The space
is a Hilbert space with respect to the scalar product
For convenience, we denote
and
and their norms by
and
, respectively. The letter
c stands for a general positive constant which may change its value from line to line or even in the same line. In what follows, to study problem (
1)-(
3) we introduce the following hypotheses:
(A1) is a non-negative measurable function such that , and for some , for every ;
(A2)
is a continuous function which satisfies a dissipativeness and growth condition of polynomial type, i.e., there is a number
such that for all
and
,
where
,
,
are positive constants,
,
and
are nonnegative functions on
such that
,
,
;
(A3)
is a continuous function such that for all
and
,
where
,
are positive constants,
, and
satisfies
;
(A4)
and satisfies the following conditions
where
m is a positive constant satisfying
(A5) The functions , belong to for some , where , , and .
Under condition
, the operator
with the domain
is positive and self-adjoint. The space
is a Hilbert space endowed with the usual graph scalar product. Therefore, there exists a complete orthonormal system of eigenvectors
such that
In the sequel, we consider the canonical probability space
, where
and
is the Borel
-algebra induced by the compact-open topology of
, while
P is the corresponding Wiener measure on
. Then we will identify
with
We define the time shift by
Then, is a metric dynamical system.
We now associate a continuous random dynamical system with the stochastic parabolic equation over . To this end, we need to convert the stochastic equation containing white noise terms into a deterministic one with random coefficients.
Given
, consider the one-dimensional Ornstein-Uhlenbeck equation
One may check that a solution to (
13) is given by
In addition, the random variable
is tempered and
is
P-a.e. continuous. Thus, it follows from Proposition 4.3.3 in [
2] that there exists a tempered function
such that
where
satisfies, for
P-a.e
,
Combining (
14) and (
15), it implies that for
P-a.e
,
Putting
, by (
13) we have
Since
, we have
where
.
The existence of a solution to stochastic delay parabolic equation (
1) follows from [
23]. To show that problem (
1)-(
3) generates a random dynamical system, we let
, where
u is a solution of equation (
1). Then
v satisfies
with boundary condition
and initial condition
For the pathwise deterministic problem (
18)-(
20), by the Galerkin method as in [
5] one can show that for all
,
and
P-a.e
, there is a unique solution
if
F and
f satisfy assumptions (A2) and (A3). Moreover, this solution is continuous in
and
is measurable. In terms of the solution
v, we are able to introduce a continuous non-autonomous random dynamical system for the stochastic problem (
1)-(
3). Let
, then the process
u is the solution of equation (
1) with initial condition
. We now define a mapping
by
where
for
. It is easy to show that
satisfies conditions
-
of Definition 2.1 in [
31], and hence it is a continuous non-autonomous random dynamical system on
associated with problem (
1)-(
3). Given a bounded nonempty subset
D of
, the Hausdorff semidistance between
D and the origin in
is denoted by
. Let
be a family of nonempty subsets of
. Such a
D is said to be tempered in
if for every
,
Henceforth, we always assume that is the collection of all families of tempered nonempty subsets of .
3. Uniform Estimates of Solutions
In this section, we conduct a variety of uniform estimates on the solutions of problem (
1)-(
3) by utilizing the converted random equation (
18), to prove the existence of pullback absorbing set and the pullback asymptotic compactness of random dynamical system.
Lemma 1.
Suppose that assumptions - hold. Let . Then for every and P-a.e. , there exists such that for all , the solution u of problem (1)-(3) satisfies
where , and is determined by
with c being a positive deterministic constant independent of τ, ω and D.
Proof. Multiplying (
18) by
v and then integrating over
, we find that
We now estimate each term on the right-hand side of (
24). For the first term, by (
4), (
5) and Young’s inequality, we obtain
The last two terms on the right-hand side of (
24) are bounded by
Consequently, it follows from (
17) and (
25)-(
27) that
where
. Then for
m satisfying (
12), we find from (
28) that
Considering time
instead of
, integrating (
29) over
for any fixed
with
, and then replacing
by
(i.e.,
v now denotes
, we obtain
For the last term on the right-hand side of (
30), we have
It follows from (
12) and (
30)-(
31) that
Since
, we get from the above inequality that
Note that
, where
for
. Therefore, by (
33) we get that, for all
,
where
. Since
and
is tempered, we deduce that
and
On the other hand, it follows from (
15) and (
17) that
Therefore, there exists
such that (
22) holds for all
, which completes the proof of Lemma 1. □
Lemma 2.
Suppose that assumptions - hold. Let . Then for every and P-a.e. , there exists such that for all , the solution v of problem (18)-(20) with ω replaced by satisfies
where c is a positive deterministic constant independent of τ, ω and D.
Proof. Taking the inner product of (
18) with
in
, we get that
Now we estimate each term on the right-hand side of (
36). For the first term, by (
5)-(
7) and Young’s inequality, we have
By (
9) and Young’s inequality, we obtain
In addition, we deduce that
Consequently, it follows from (
37)-(
39) that
where
. Let
,
,
,
, and
. Integrating (
40) over
, we have
Integrating the above inequality with respect to
over
and noticing
, we obtain
where
. By (
22), there exists
such that for all
,
Similarly, by (
22) we get for
,
Note that
and
which together with (
42)-(
44) imply that for all
and
,
Finally, integrating (
40) over
and utilizing the same arguments as above, we obtain for all
,
This completes the proof of Lemma 2. □
Lemma 3.
Suppose that assumptions - hold. Let . Then for every and P-a.e. , there exists such that for all , the solution v of problem (18)-(20) with ω replaced by satisfies for all ,
where c is a positive deterministic constant independent of τ, ω and D.
Proof. Taking the inner product of (
18) with
in
, we obtain
It follows from (A2) and Young’s inequality that
where
. By (
9), we obtain
Utilizing Young’s inequality, the last two terms on the right-hand side of (
50) are bounded by
Combining (
50) and (
51)-(
53), we deduce that
Let
,
,
, and
for
. Integrating (
54) over
, we have
where
. Now integrating the above inequality with respect to
over
, we obtain
Noting that
, we get
where
satisfies
Combining (
43)-(
45) and (
58), we find that there exists
such that for all
,
Finally, integrating (
54) over
and utilizing the same arguments as above, we get for all
,
which along with (
59) yields (
49). This completes the proof. □
4. Existence of Random Attractors
In this section, we establish the existence of tempered pullback attractors for the random dynamical system
associated with the stochastic parabolic equation (
1). For this purpose, we first show that
has a closed random absorbing set in
.
Lemma 4.
Suppose that assumptions - hold. Then the non-autonomous random dynamical system Φ has a closed measurable -pullback absorbing set as defined by
where is given by (23).
Proof. Given
,
, and
, it follows from Lemma 1 that for all
,
This shows that
is a random absorbing set for
in
. In what follows, we prove that
K is tempered. By (
23), we have
Then for an arbitrary positive number
we obtain
Let
, then it follows from (
11) that
Meanwhile, the second term on the right-hand side of (
64) converges to zero as
, which along with (
64) and (
65) shows that
Therefore, K is tempered and belongs to . Notice that for each , is -measurable. This implies that K is a closed measurable -pullback absorbing set for . □
Next, we discuss the
-pullback asymptotic compactness of
, which will be proved by utilizing the Arzela-Ascoli theorem in [
25].
Lemma 5. Suppose that assumptions - hold. Then the non-autonomous random dynamical system Φ of problem (1)-(3) is -pullback asymptotically compact in .
Proof. It suffices to show that for every , and P-a.e. , if and , then the sequence has a convergent subsequence in . To this end, we will utilize the Ascoli-Arzela theorem to prove that is precompact in .
First, we prove that
is uniformly equicontinuous in
. In fact, it follows from (
18) and assumptions (A1)-(A5) that
In view of (
15), and Lemmas 1-3, we can find large enough positive integer
N such that for all
,
Therefore, for every
and
,
By (
21) and (
66) we obtain, for all
and
,
which along with the continuity of
implies the desired equicontinuity.
On the other hand, for each fixed , we can get from Lemma 2 that is bounded in . Then, it follows from the compactness of embedding that is precompact in . Therefore, we deduce that is asymptotically compact in . □
We are now in a position to present the existence of -pullback attractors for in .
Theorem 1. Suppose that assumptions - hold. Then the non-autonomous random dynamical system Φ associated with problem (1)-(3) has a unique -pullback attractor in . If, in addition, there exists such that g is T-periodic in its first argument, then the attractor is also T-periodic.
Proof. Notice that the random dynamical system
has a closed random absorbing set
in
by Lemma 4, and is asymptotically compact in
by Lemma 5. Hence the existence of a unique
-pullback attractor for
follows from Proposition 2.1 in [
31] immediately. If
g is
T-periodic in its first argument, then the random dynamical system
and the absorbing set
K are also
T-periodic, which implies the
T-periodicity of the attractor. □
5. Upper Semicontinuity of Random Attractors
In the section, we will consider the upper semicontinuity of random attractors of problem (
1)-(
3) as the delay approaches zero. Hereafter, we assume
and denote the solution and non-autonomous random dynamical system of problem (
1)-(
3) as
and
, respectively. Given
and
, let
where
is the number given by (
23). It follows from (
67) and Lemma 1 that for every
,
is a
-pullback absorbing set of
in
. Let
be the attractor of
in
. Then we deduce that for all
and
P-a.e.
Let
, from (
1)-(
3) we have
for
and
, with boundary condition
and initial condition
Let
be the non-autonomous random dynamical system generated by problem (
69)-(
71) in
. Suppose that
is the collection of all tempered families of nonempty subsets of
, i.e., for any
,
We notice that all estimates of solutions in section 3 are valid for
. Therefore,
has a unique
-pullback attractor
in
and an absorbing set
given by
From (
67) and (
72), it is trivial to deduce that for all
and
P-a.e.
,
We now prove the convergence of solutions of (
1)-(
3) as
. For this purpose, we introduce the following assumption:
(A6) There exist
and
such that for all
and
,
where
for
, and
for
.
Lemma 6.
Suppose that assumptions - hold, , and . Let and u be the solutions of (1)-(3) and (69)-(71) with initial data and ϕ, respectively. Then for every , there exists depending on , and η such that for all and ,
where c is a positive constant independent of ρ and η.
Proof. Let
and
, where
and
for all
. Fix
, and let
. Then, for
and
,
satisfies
Multiplying (
75) by
and then integrating over
, we have
For the first term on the right-hand side of (
76), by (
6) and (
74) we obtain
It follows from (
77)-(
80) that for
and
,
where
. Let
and
. Integrating the above inequality over
, we obtain
For the fourth term on the right-hand side of (
82), we have
Meanwhile, we observe that
and
By (
82)-(
83), for
and
, we obtain
where
. Therefore, it follows from (
17) that for given
, there exists
such that for all
,
, and
,
Noting that
, we obtain that there exists
such that for all
,
Since
is uniformly continuous, there exists
such that for all
and
,
At the same time, noting that
, we obtain
and hence that there exists
such that for all
, and
,
By utilizing (
29), we get for
Similarly, by (
69) we have
It follows from (
84)-(
90) that for all
,
,
, and
,
Now, the Gronwall’s inequality yields that for all
,
,
, and
,
Note that
which along with (
17) and the continuity of
u shows that there exists
such that for all
,
It follows from (
92) that for all
,
,
, and
,
which implies that for all
,
,
, and
,
In the following, we consider the case
. Let
, then
and
. In this case, we have
Combining
with the continuity of
u at
, we duduce that there exists
such that for all
and
,
which together with (
94) means that for all
,
, and
,
Therefore, the proof of Lemma 6 is completed. □
We now present the uniform compactness of random attractors with respect to
, whose proof is similar to the proof of Lemma 7.2 in [
31], and hence is omitted.
Lemma 7.
Suppose that assumptions - hold. If and , then there exist a subsequence of and satisfy
Finally, we provide the upper semicontinuity of random attractors as .
Theorem 2.
Suppose that assumptions - hold. Then for all and P-a.e. ,
where is the distance defined for any subset E of and S of X by
.
Proof. Let
,
, and
satisfying
as
. It follows from Lemma 6 that for every
,
, and
P-a.e.
,
which together with (
73) and Lemma 7 shows that all conditions of Theorem 2.1 in [
31] are satisfied, and hence (
96) follows immediately. □
6. Conclusions
In this paper, we successfully investigated the dynamics of solutions of a class of stochastic parabolic equations with delay and deterministic non-autonomous forcing. Firstly, we transformed the stochastic equations into deterministic versions with random coefficients by using Ornstein-Uhlenbeck transformation, and proved the existence of a continuous non-autonomous random dynamical system by exploiting the ideas from the theory of deterministic PDEs with polynomial nonlinearity and delay PDEs with Lipschitz nonlinearity. Then, we established the pullback asymptotical compactness of solutions as well as the existence of random attractors by deriving some uniform estimates of solutions with respect to delay and time-dependent forcing for the nonlinearity satisfying an arbitrary polynomial growth condition. Finally, we shown the upper semicontinuity of random attractors when the delay approaches zero by establishing the convergence of solutions.
Author Contributions
All authors contributed to the study conception and design. Zhiyi Tan and Chaoliang Luo wrote the main manuscript text. All authors read and approved the final manuscript.
Acknowledgments
This research was partially supported by National Natural Science Foundation of China (No.11801162), Hunan Provincial Natural Science Foundation of China (No.2019JJ40068), and Hunan Provincial Educational Foundation of China (No.21A0361).
Conflicts of Interest
The authors declare that they have no conflict of interest.
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