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Dynamics of a Class of Stochastic Parabolic Equations with Delay and Non-Autonomous Forcing

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18 July 2025

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18 July 2025

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Abstract
This paper is concerned with the dynamics of solutions of a class of stochastic parabolic equations with delay and deterministic non-autonomous forcing. Specifically, the existence of random attractors is proven, and the upper semicontinuity of random attractors is shown when the delay approaches zero. The key technique in the proof of the existence results of random attractors is to derive some uniform estimates of solutions, and the most important step in the proof of the upper semicontinuity of random attractors is to establish the convergence of solutions.
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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 O R n ( n 2 ):
d u ( t , x ) d t + λ u ( t , x ) div ( σ ( x ) u ( t , x ) ) = F ( x , u ( t , x ) ) + f ( x , u ( t ρ , x ) ) + g ( t , x ) + j = 1 m h j ( x ) d w j ( t ) d t
for t > τ and x O , with the boundary condition and initial condition
u ( t , x ) = 0 , for t > τ , x O ,
u τ ( ξ , x ) : = u ( τ + ξ , x ) = ϕ ( ξ , x ) , for ( ξ , x ) [ ρ , 0 ] × O ,
where τ R , λ is a positive constant, ρ is the delay time of the system, σ 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, { h j } j = 1 m are given functions defined on O , and { w j } j = 1 m 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 · L 2 and ( · , · ) be the norm and inner product of L 2 ( O ) , respectively. The norm of L p ( O ) is written as · L p . Assume that C ( [ ρ , 0 ] , X ) is the space of all continuous functions from [ ρ , 0 ] to X with norm φ C ( [ ρ , 0 ] , X ) = sup { φ ( ξ ) X : ξ [ ρ , 0 ] } for φ C ( [ ρ , 0 ] , X ) . The natural energy space for problem (1)-(3) involves the space D 0 1 , 2 ( O , σ ) defined as the closure of C 0 ( O ) with respect to the norm
u D 0 1 , 2 : = O σ ( x ) | u | 2 d x 1 2 .
The space D 0 1 , 2 ( O , σ ) is a Hilbert space with respect to the scalar product
( u , v ) σ : = O σ ( x ) u · v d x .
For convenience, we denote C p = C ( [ ρ , 0 ] , L p ( O ) ) and C D = C ( [ ρ , 0 ] , D 0 1 , 2 ( O , σ ) ) and their norms by · C p and · C D , 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) σ : O R + { 0 } is a non-negative measurable function such that σ L l o c 1 ( O ) , and for some α ( 0 , 2 ) , lim inf x z | x z | α σ ( x ) > 0 for every z O ¯ ;
  • (A2) F : O × R R is a continuous function which satisfies a dissipativeness and growth condition of polynomial type, i.e., there is a number p 2 such that for all x O and u R ,
    F ( x , u ) u α 1 | u | p + β 1 ( x ) ,
    | F ( x , u ) | α 2 | u | p 1 + β 2 ( x ) ,
    u F ( x , u ) α 3 ,
    x F ( x , u ) β 3 ( x ) ,
    where α 1 , α 2 , α 3 are positive constants, β 1 , β 2 and β 3 are nonnegative functions on O such that β 1 L ( 2 p 2 ) / p ( O ) , β 2 , β 3 L 2 ( O ) ;
  • (A3) f : O × R R is a continuous function such that for all x O and u , v R ,
    | f ( x , u ) f ( x , v ) | C f | u v | ,
    | f ( x , u ) | 2 L f 2 | u | 2 + | η ( x ) | 2 ,
    where C f , L f are positive constants, η L 2 ( O ) , and L f satisfies L f < 1 4 λ ;
  • (A4) g L l o c 2 ( R , L 2 ( O ) ) and satisfies the following conditions
    τ e m s g ( s , · ) L 2 2 d s < τ R ,
    lim t e c t 0 e m s g ( s + t , · ) L 2 2 d s = 0 c > 0 ,
    where m is a positive constant satisfying
    m λ + 4 L f 2 λ e m ρ < 0 ;
  • (A5) The functions h j , j = 1 , , m , belong to L 2 p 2 ( O ) L ( O ) Dom ( A ) D p ( A ) for some p 2 , where A u = div ( σ ( x ) u ) , Dom ( A ) = { u D 0 1 , 2 ( O , σ ) : A u L 2 ( O ) } , and D p ( A ) = { u D 0 1 , 2 ( O , σ ) : O | A u | p d x < + } .
Under condition ( A 5 ) , the operator A = div ( σ ( x ) ) with the domain
Dom ( A ) = { u D 0 1 , 2 ( O , σ ) : A u L 2 ( O ) }
is positive and self-adjoint. The space Dom ( A ) is a Hilbert space endowed with the usual graph scalar product. Therefore, there exists a complete orthonormal system of eigenvectors ( e j , λ j ) such that
( e j , e k ) = δ j k and div ( σ ( x ) e j ) = λ j e j , j , k = 1 , 2 , 3 , ,
0 < λ 1 λ 2 λ 3 , λ j + as j + .
Noting that
λ 1 = inf u D 0 1 , 2 2 u L 2 2 : u D 0 1 , 2 ( O , σ ) , u 0 ,
we have
u D 0 1 , 2 2 λ 1 u L 2 2 , for all u D 0 1 , 2 ( O , σ ) .
In the sequel, we consider the canonical probability space ( Ω , F , P ) , where
Ω = ω = ( ω 1 , ω 2 , , ω m ) C R , R m : ω ( 0 ) = 0 ,
and F is the Borel σ -algebra induced by the compact-open topology of Ω , while P is the corresponding Wiener measure on ( Ω , F ) . Then we will identify ω with
W ( t ) w 1 ( t ) , w 2 ( t ) , , w m ( t ) = ω ( t ) for t R .
We define the time shift by
θ t ω ( · ) = ω ( · + t ) ω ( t ) , ω Ω , t R .
Then, ( Ω , F , P , ( θ t ) t R ) is a metric dynamical system.
We now associate a continuous random dynamical system with the stochastic parabolic equation over ( Ω , F , P , ( θ t ) t R ) . To this end, we need to convert the stochastic equation containing white noise terms into a deterministic one with random coefficients.
Given j = 1 , . . . , m , consider the one-dimensional Ornstein-Uhlenbeck equation
d z j + λ z j d t = d w j ( t ) .
One may check that a solution to (13) is given by
z j ( t ) = z j ( θ t ω j ) λ 0 e λ s ( θ t ω j ) ( s ) d s , t R .
In addition, the random variable | z j ( ω j ) | is tempered and z j ( θ t ω j ) is P-a.e. continuous. Thus, it follows from Proposition 4.3.3 in [2] that there exists a tempered function r ( ω ) > 0 such that
j = 1 m | z j ( ω j ) | 2 + | z j ( ω j ) | p + | z j ( ω j ) | 2 p 2 r ( ω ) ,
where r ( ω ) satisfies, for P-a.e ω Ω ,
r θ t ω e λ 2 | t | r ( ω ) , t R .
Combining (14) and (15), it implies that for P-a.e ω Ω ,
j = 1 m | z j ( θ t ω j ) | 2 + | z j ( θ t ω j ) | p + | z j ( θ t ω j ) | 2 p 2 e λ 2 | t | r ( ω ) , t R .
Putting z ( θ t ω ) = j = 1 m h j z j ( θ t ω j ) , by (13) we have
d z + λ z d t = j = 1 m h j d w j .
Since h j L 2 p 2 ( O ) Dom ( A ) D p ( A ) , we have
p ( θ t ω ) c e λ 2 | t | r ( ω ) ,
where p ( ω ) = z ( ω ) D 0 1 , 2 2 + z ( ω ) L p p + z ( ω ) L 2 p 2 2 p 2 + A z ( ω ) L 2 2 + A z ( ω ) L p p .
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 v ( t ) = u ( t ) z ( θ t ω ) , where u is a solution of equation (1). Then v satisfies
d v d t + A v + λ v = F ( x , v + z ( θ t ω ) ) + f ( x , v ( t ρ ) + z ( θ t ρ ω ) ) + g ( t , x ) A z ( θ t ω ) ,
with boundary condition
v ( t , x ) = 0 , for t , x ( τ , ) × O ,
and initial condition
v τ ( ξ , x ) = ϕ ( ξ , x ) z ( θ τ + ξ ω ) ψ ( ξ , x ) , ( ξ , x ) [ ρ , 0 ] × O .
For the pathwise deterministic problem (18)-(20), by the Galerkin method as in [5] one can show that for all τ R , ψ C 2 and P-a.e ω Ω , there is a unique solution v ( · , τ , ω , ψ ) C ( [ τ ρ , ) , L 2 ( O ) ) L l o c 2 ( τ , ; D 0 1 , 2 ( O , σ ) ) L l o c p ( τ , ; L p ( O ) ) if F and f satisfy assumptions (A2) and (A3). Moreover, this solution is continuous in ψ C 2 and v ( · , τ , · , ψ ) : ( Ω , F ) ( C 2 , B ( C 2 ) ) 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 u ( t , τ , ω , ϕ ) = v ( t , τ , ω , ψ ) + z ( θ t ω ) , then the process u is the solution of equation (1) with initial condition ϕ . We now define a mapping Φ : R + × R × Ω × C 2 C 2 by
Φ ( t , τ , ω , ϕ ) ( · ) = u t + τ ( · , τ , θ τ ω , ϕ ) = v t + τ ( · , τ , θ τ ω , ψ ) + z ( θ t + τ + · ω ) ,
where u t + τ ( ξ , τ , θ τ ω , ϕ ) = u ( t + τ + ξ , τ , θ τ ω , ϕ ) for ξ [ ρ , 0 ] . It is easy to show that Φ satisfies conditions ( i ) - ( iv ) of Definition 2.1 in [31], and hence it is a continuous non-autonomous random dynamical system on C 2 associated with problem (1)-(3). Given a bounded nonempty subset D of C 2 , the Hausdorff semidistance between D and the origin in C 2 is denoted by D C 2 = sup φ D φ C 2 . Let D = { D ( τ , ω ) : τ R , ω Ω } be a family of nonempty subsets of C 2 . Such a D is said to be tempered in C 2 if for every γ > 0 ,
lim t e γ t D ( τ + t , θ t ω ) C 2 = 0 .
Henceforth, we always assume that D is the collection of all families of tempered nonempty subsets of C 2 .

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 ( A 1 ) - ( A 5 ) hold. Let D = { D ( τ , ω ) : τ R , ω Ω } D . Then for every ϵ , τ R and P-a.e. ω Ω , there exists T = T ( τ , ω , D , ϵ ) > 0 such that for all t T , the solution u of problem (1)-(3) satisfies
u ϵ ( · , τ t , θ τ ω , ϕ ) C 2 2 + τ t ϵ e m ( s ϵ ) u ( s , τ t , θ τ ω , ϕ ) D 0 1 , 2 2 d s + τ t ϵ e m ( s ϵ ) u ( s , τ t , θ τ ω , ϕ ) L p p d s R ( ϵ , τ , ω ) ,
where ϕ D ( τ t , θ t ω ) , and R ( ϵ , τ , ω ) is determined by
R ( ϵ , τ , ω ) = c ϵ τ e m ( s + τ ϵ ) g ( s + τ ) L 2 2 d s + c r ( ω ) + 1 ,
with c being a positive deterministic constant independent of τ, ω and D.
Proof. Multiplying (18) by v and then integrating over O , we find that
1 2 d d t v ( t ) L 2 2 + v ( t ) D 0 1 , 2 2 + λ v ( t ) L 2 2 = O F ( x , u ( t , x ) ) v d x + O f ( x , u ( t ρ , x ) ) v d x + O g ( t , x ) v d x O A z ( θ t ω ) v d x .
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
O F ( x , u ( t , x ) ) v d x = O F ( x , u ( t , x ) ) u d x O F ( x , u ( t , x ) ) z ( θ t ω ) d x α 1 u ( t ) L p p + β 1 L 1 + α 2 O | u ( t ) | p 1 z ( θ t ω ) d x + O β 2 ( x ) z ( θ t ω ) d x α 1 2 u ( t ) L p p + β 1 L 1 + p 1 p β 2 L p 1 p p 1 p + 1 p + 2 α 2 ( p 1 ) α 1 p 2 z ( θ t ω ) L p p .
By (9), we deduce that
O f ( x , u ( t ρ , x ) ) v d x 1 λ O L f 2 | u ( t ρ ) | 2 + | η ( x ) | 2 d x + λ 4 v ( t ) L 2 2 2 L f 2 λ v ( t ρ ) L 2 2 + λ 4 v ( t ) L 2 2 + 1 λ η ( x ) L 2 2 + 2 L f 2 λ z ( θ t ρ ω ) L 2 2 .
The last two terms on the right-hand side of (24) are bounded by
O g ( t , x ) v d x O A z ( θ t ω ) v d x λ 4 v ( t ) L 2 2 + 2 λ g ( t ) L 2 2 + 2 λ A z ( θ t ω ) L 2 2 .
Consequently, it follows from (17) and (25)-(27) that
d d t v ( t ) L 2 2 + v ( t ) D 0 1 , 2 2 + α 1 u ( t ) L p p λ v ( t ) L 2 2 + 4 L f 2 λ v ( t ρ ) L 2 2 + 4 λ g ( t ) L 2 2 + c p 1 ( θ t ω ) + c ,
where p 1 ( ω ) = z ( ω ) L p p + z ( θ ρ ω ) L 2 2 + A z ( ω ) L 2 2 . Then for m satisfying (12), we find from (28) that
d d t e m t v ( t ) L 2 2 + e m t v ( t ) D 0 1 , 2 2 + α 1 e m t u ( t ) L p p e m t 4 L f 2 λ v ( t ρ ) L 2 2 + 4 λ g ( t ) L 2 2 + c p 1 ( θ t ω ) + c + e m t m λ v ( t ) L 2 2 .
Considering time τ t instead of τ , integrating (29) over [ τ t , ϵ + ζ ] for any fixed ζ [ ρ , 0 ] with ϵ τ t + ρ , and then replacing ω by θ τ ω (i.e., v now denotes v ( · , τ t , θ τ ω , ψ ) ) , we obtain
e m ( ϵ + ζ ) v ( ϵ + ζ , τ t , θ τ ω , ψ ) L 2 2 + τ t ϵ + ζ e m s v ( s , τ t , θ τ ω , ψ ) D 0 1 , 2 2 d s + α 1 τ t ϵ + ζ e m s u ( s , τ t , θ τ ω , ϕ ) L p p d s e m ( τ t ) ψ ( 0 ) L 2 2 + m λ τ t ϵ + ζ e m s v ( s , τ t , θ τ ω , ψ ) L 2 2 d s + 4 λ τ t ϵ + ζ e m s g ( s ) L 2 2 d s + c τ t ϵ + ζ e m s p 1 ( θ s τ ω ) + 1 d s + 4 L f 2 λ τ t ϵ + ζ e m s v ( s ρ , τ t , θ τ ω , ψ ) L 2 2 d s .
For the last term on the right-hand side of (30), we have
τ t ϵ + ζ e m s v ( s ρ , τ t , θ τ ω , ψ ) L 2 2 d s = τ t ρ ϵ + ζ ρ e m ( s + ρ ) v ( s , τ t , θ τ ω , ψ ) L 2 2 d s 1 m e m ( τ t + ρ ) ψ C 2 2 + τ t ϵ + ζ e m ( s + ρ ) v ( s , τ t , θ τ ω , ψ ) L 2 2 d s .
It follows from (12) and (30)-(31) that
v ( ϵ + ζ , τ t , θ τ ω , ψ ) L 2 2 + τ t ϵ + ζ e m ( s ϵ ζ ) v ( s , τ t , θ τ ω , ψ ) D 0 1 , 2 2 d s + α 1 τ t ϵ + ζ e m ( s ϵ ζ ) u ( s , τ t , θ τ ω , ϕ ) L p p d s c e m ( τ t ϵ + ρ ζ ) ψ C 2 2 + c τ t ϵ + ζ e m ( s ϵ ζ ) g ( s ) L 2 2 d s + c τ t ϵ + ζ e m ( s ϵ ζ ) p 1 ( θ s τ ω ) + 1 d s .
Since ζ [ ρ , 0 ] , we get from the above inequality that
v ( ϵ + ζ , τ t , θ τ ω , ψ ) L 2 2 + τ t ϵ + ζ e m ( s ϵ ) v ( s , τ t , θ τ ω , ψ ) D 0 1 , 2 2 d s + α 1 τ t ϵ + ζ e m ( s ϵ ) u ( s , τ t , θ τ ω , ϕ ) L p p d s c e 2 m ρ e m ( τ t ϵ ) ψ C 2 2 + c e m ρ τ t ϵ e m ( s ϵ ) g ( s ) L 2 2 d s + c e m ρ τ t ϵ e m ( s ϵ ) p 1 ( θ s τ ω ) + 1 d s .
Note that u ( t , τ , θ t ω , ϕ ) = v ( t , τ , θ t ω , ψ ) + z ( θ t ω ) , where ϕ ( ζ , x ) = ψ ( ζ , x ) + z ( θ τ + ζ ω ) for ζ [ ρ , 0 ] . Therefore, by (33) we get that, for all t τ ,
u ϵ ( · , τ t , θ τ ω , ϕ ) C 2 2 + τ t ϵ + ζ e m ( s ϵ ) u ( s , τ t , θ τ ω , ϕ ) D 0 1 , 2 2 d s + τ t ϵ + ζ e m ( s ϵ ) u ( s , τ t , θ τ ω , ϕ ) L p p d s c e m ( τ t ϵ ) ϕ C 2 2 + z ( θ · ω ) C 2 2 + c τ t ϵ e m ( s ϵ ) g ( s ) L 2 2 d s + c τ t ϵ e m ( s ϵ ) p 2 ( θ s τ ω ) d s + c ,
where p 2 ( ω ) = p 1 ( ω ) + z ( ω ) D 0 1 , 2 2 . Since ϕ D ( τ t , θ t ω ) and z ( ω ) C 2 2 is tempered, we deduce that
lim sup t e m ( τ t ϵ ) ϕ C 2 2 lim sup t e m ( τ t ϵ ) D ( τ t , θ t ω ) C 2 2 = 0 ,
and
lim sup t e m ( τ t ϵ ) z ( θ · ω ) C 2 2 = 0 .
On the other hand, it follows from (15) and (17) that
τ t ϵ e m ( s ϵ ) p 2 ( θ s τ ω ) d s c τ t ϵ 0 e m s λ 2 ( s + ϵ τ ) r ( ω ) d s c r ( ω ) .
Therefore, there exists T = T ( τ , ω , D , ϵ ) > 0 such that (22) holds for all t T , which completes the proof of Lemma 1. □
Lemma 2.
Suppose that assumptions ( A 1 ) - ( A 5 ) hold. Let D = { D ( τ , ω ) : τ R , ω Ω } D . Then for every τ R and P-a.e. ω Ω , there exists T = T ( τ , ω , D ) ρ + 1 such that for all t T , the solution v of problem (18)-(20) with ω replaced by θ τ ω satisfies
v τ ( · , τ t , θ τ ω , ψ ) C D 2 + τ ρ τ A v ( s , τ t , θ τ ω , ψ ) L 2 2 d s c 0 e m s g ( s + τ ) L 2 2 d s + c r ( ω ) + 1 ,
where c is a positive deterministic constant independent of τ, ω and D.
Proof. Taking the inner product of (18) with A v = div ( σ ( x ) v ) in L 2 ( O ) , we get that
1 2 d d t v D 0 1 , 2 2 + A v L 2 2 + λ v D 0 1 , 2 2 = O F ( x , u ( t ) ) A v d x + O f ( x , u ( t ρ ) ) A v d x + O g ( t , x ) A v d x O A z ( θ t ω ) A v d x .
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
O F ( x , u ( t ) ) A v d x = O F ( x , u ( t ) ) A u d x O F ( x , u ( t ) ) A z ( θ t ω ) d x O F ( x , u ) x σ ( x ) u d x + O F ( x , u ) u σ ( x ) | u | 2 d x + O F ( x , u ( t ) ) A z ( θ t ω ) d x O β 3 ( x ) σ ( x ) u d x + α 3 O σ ( x ) | u | 2 d x + α 2 O | u | p 1 A z ( θ t ω ) d x + O β 2 ( x ) A z ( θ t ω ) d x 1 2 O | β 3 ( x ) | 2 σ + σ | u | 2 d x + α 3 u D 0 1 , 2 2 + α 2 ( p 1 ) p u L p p + α 2 p A z ( θ t ω ) L p p + p 1 p O | β 2 ( x ) | p p 1 d x + 1 p O | A z ( θ t ω ) | p d x c u D 0 1 , 2 2 + u L p p + A z ( θ t ω ) L p p + 1 .
By (9) and Young’s inequality, we obtain
O f ( x , u ( t ρ ) ) A v d x O f ( x , u ( t ρ ) ) 2 d x + 1 4 O | A v | 2 d x L f 2 u ( t ρ ) L 2 2 + η ( x ) L 2 2 + 1 4 A v L 2 2 .
In addition, we deduce that
O g ( t , x ) A v d x O A z ( θ t ω ) A v d x 2 g ( t ) L 2 2 + 2 A z ( θ t ω ) L 2 2 + 1 4 A v L 2 2 .
Consequently, it follows from (37)-(39) that
d d t v D 0 1 , 2 2 + A v L 2 2 c u D 0 1 , 2 2 + u L p p + u ( t ρ ) L 2 2 + g ( t ) L 2 2 + p 3 ( θ t ω ) + 1 ,
where p 3 ( ω ) = A z ( ω ) L p p + A z ( ω ) L 2 2 . Let τ R , t ρ + 1 , ω Ω , ϵ ( τ + ζ 1 , τ + ζ ) , and ζ [ ρ , 0 ] . Integrating (40) over ( ϵ , τ + ζ ) , we have
v ( τ + ζ , τ t , ω , ψ ) D 0 1 , 2 2 v ( ϵ , τ t , ω , ψ ) D 0 1 , 2 2 + c τ ρ 1 τ u ( s ρ , τ t , ω , ϕ ) L 2 2 d s + c τ ρ 1 τ u ( s , τ t , ω , ϕ ) D 0 1 , 2 2 d s + c τ ρ 1 τ u ( s , τ t , ω , ϕ ) L p p d s + c τ ρ 1 τ g ( s ) L 2 2 d s + c τ ρ 1 τ p 3 ( θ s ω ) d s + c .
Integrating the above inequality with respect to ϵ over ( τ + ζ 1 , τ + ζ ) and noticing u ( t , τ t , ω , ϕ ) = v ( t , τ t , ω , ψ ) + z ( θ t ω ) , we obtain
v ( τ + ζ , τ t , θ τ ω , ψ ) D 0 1 , 2 2 c τ ρ 1 τ u ( s , τ t , θ τ ω , ϕ ) D 0 1 , 2 2 d s + c τ ρ 1 τ u ( s , τ t , θ τ ω , ϕ ) L p p d s + c τ ρ 1 τ u ( s ρ , τ t , θ τ ω , ϕ ) L 2 2 d s + c τ ρ 1 τ g ( s ) L 2 2 d s + c τ ρ 1 τ p 4 ( θ s τ ω ) d s + c ,
where p 4 ( ω ) = p 3 ( ω ) + z ( ω ) D 0 1 , 2 2 . By (22), there exists T = T ( τ , ω , D ) ρ + 1 such that for all t T ,
e m ( ρ + 1 ) τ ρ 1 τ u ( s , τ t , θ τ ω , ϕ ) D 0 1 , 2 2 d s + τ ρ 1 τ u ( s , τ t , θ τ ω , ϕ ) L p p d s τ ρ 1 τ e m ( s τ ) u ( s , τ t , θ τ ω , ϕ ) D 0 1 , 2 2 d s + τ ρ 1 τ e m ( s τ ) u ( s , τ t , θ τ ω , ϕ ) L p p d s τ t τ e m ( s τ ) u ( s , τ t , θ τ ω , ϕ ) D 0 1 , 2 2 d s + τ t τ e m ( s τ ) u ( s , τ t , θ τ ω , ϕ ) L p p d s 0 e m s g ( s + τ ) L 2 2 d s + c r ( ω ) + 1 .
Similarly, by (22) we get for t T ,
τ ρ 1 τ u ( s ρ , τ t , θ τ ω , ϕ ) L 2 2 d s τ ρ 1 τ u s ( · , τ t , θ τ ω , ϕ ) C 2 2 d s ( ρ + 1 ) sup τ ρ 1 s τ u s ( · , τ t , θ τ ω , ϕ ) C 2 2 c ( ρ + 1 ) e m ( ρ + 1 ) 0 e m s g ( s + τ ) L 2 2 d s + c ( ρ + 1 ) e m ( ρ + 1 ) r ( ω ) + 1 .
Note that
τ ρ 1 τ g ( s ) L 2 2 d s e m ( ρ + 1 ) 0 e m s g ( s + τ ) L 2 2 d s
and
τ ρ 1 τ p 4 ( θ s τ ω ) d s = ρ 1 0 p 4 ( θ s ω ) d s c ρ 1 0 e λ 2 s r ( ω ) d s c r ( ω ) ,
which together with (42)-(44) imply that for all ζ [ ρ , 0 ] and t T ,
v τ ( · , τ t , θ τ ω , ψ ) C D 2 c 0 e m s g ( s + τ ) L 2 2 d s + c r ( ω ) + 1 .
Finally, integrating (40) over ( τ ρ , τ ) and utilizing the same arguments as above, we obtain for all t T ,
τ ρ τ A v ( s , τ t , θ τ ω , ψ ) L 2 2 d s v ( τ ρ , τ t , θ τ ω , ψ ) D 0 1 , 2 2 + c τ ρ τ u ( s , τ t , θ τ ω , ϕ ) D 0 1 , 2 2 d s + c τ ρ τ u ( s , τ t , θ τ ω , ϕ ) L p p d s + c τ ρ τ u ( s ρ , τ t , θ τ ω , ϕ ) L 2 2 d s + c τ ρ τ g ( s ) L 2 2 d s + c τ ρ τ p 3 ( θ s τ ω ) d s + c c 0 e m s g ( s + τ ) L 2 2 d s + c r ( ω ) + 1 .
This completes the proof of Lemma 2. □
Lemma 3.
Suppose that assumptions ( A 1 ) - ( A 5 ) hold. Let D = { D ( τ , ω ) : τ R , ω Ω } D . Then for every τ R and P-a.e. ω Ω , there exists T = T ( τ , ω , D ) ρ + 1 such that for all t T , the solution v of problem (18)-(20) with ω replaced by θ τ ω satisfies for all ζ [ ρ , 0 ] ,
v ( τ + ζ , τ t , θ τ ω , ψ ) L p p + τ ρ τ v ( s , τ t , θ τ ω , ψ ) L 2 p 2 2 p 2 d s c 0 e m s g ( s + τ ) L 2 2 d s + c r ( ω ) + 1 ,
where c is a positive deterministic constant independent of τ, ω and D.
Proof. Taking the inner product of (18) with | v | p 2 v in L 2 ( O ) , we obtain
1 p d d t O | v | p d x + ( p 1 ) O σ ( x ) | v | 2 | v | p 2 d x + λ O | v | p d x = O F ( x , u ( t ) ) | v | p 2 v d x + O f ( x , u ( t ρ ) ) | v | p 2 v d x + O g ( t , x ) | v | p 2 v d x O A z ( θ t ω ) | v | p 2 v d x .
It follows from (A2) and Young’s inequality that
O F ( x , u ( t ) ) | v | p 2 v d x = O F ( x , u ( t ) ) | v | p 2 u d x O F ( x , u ( t ) ) | v | p 2 z ( θ t ω ) d x O α 1 | u | p + β 1 ( x ) | v | p 2 d x + O α 2 | u | p 1 + β 2 ( x ) | z ( θ t ω ) | | v | p 2 d x O α 1 2 | u | p + β 1 ( x ) + p 1 p β 2 p p 1 ( x ) + 1 p + 2 α 2 ( p 1 ) α 1 p 2 | z ( θ t ω ) | p | v | p 2 d x O α 1 2 p | v | p + β 1 ( x ) + p 1 p β 2 p p 1 ( x ) + 1 p + 2 α 2 ( p 1 ) α 1 p 2 | z ( θ t ω ) | p | v | p 2 d x 2 κ p v ( t ) L 2 p 2 2 p 2 + c z ( θ t ω ) L 2 p 2 2 p 2 + c ,
where κ = α 1 p 2 p + 2 . By (9), we obtain
O f ( x , u ( t ρ ) ) | v | p 2 v d x κ 2 p O | v | 2 p 2 d x + p 2 κ O | f ( x , u ( t ρ ) ) | 2 d x κ 2 p v ( t ) L 2 p 2 2 p 2 + c u ( t ρ ) L 2 2 + c .
Utilizing Young’s inequality, the last two terms on the right-hand side of (50) are bounded by
O g ( t , x ) | v | p 2 v d x O A z ( θ t ω ) | v | p 2 v d x κ 2 p v ( t ) L 2 p 2 2 p 2 + c g ( t ) L 2 2 + c A z ( θ t ω ) L 2 2 + c .
Combining (50) and (51)-(53), we deduce that
d d t v ( t ) L p p + κ v ( t ) L 2 p 2 2 p 2 c u ( t ρ ) L 2 2 + c g ( t ) L 2 2 + c z ( θ t ω ) L 2 p 2 2 p 2 + c A z ( θ t ω ) L 2 2 + c .
Let τ R , t ρ + 1 , ω Ω , and ϵ ( τ + ζ 1 , τ + ζ ) for ζ [ ρ , 0 ] . Integrating (54) over ( ϵ , τ + ζ ) , we have
v ( τ + ζ , τ t , ω , ψ ) L p p v ( ϵ , τ t , ω , ψ ) L p p + c τ ρ 1 τ u ( s ρ , τ t , ω , ϕ ) L 2 2 d s + c τ ρ 1 τ g ( s ) L 2 2 d s + c τ ρ 1 τ p 5 ( θ s ω ) d s + c ,
where p 5 ( ω ) = z ( ω ) L 2 p 2 2 p 2 + A z ( ω ) L 2 2 . Now integrating the above inequality with respect to ϵ over ( τ + ζ 1 , τ + ζ ) , we obtain
v ( τ + ζ , τ t , θ τ ω , ψ ) L p p τ ρ 1 τ v ( s , τ t , θ τ ω , ψ ) L p p d s + c τ ρ 1 τ u s ( · , τ t , θ τ ω , ϕ ) C 2 2 d s + c τ ρ 1 τ g ( s ) L 2 2 d s + c τ ρ 1 τ p 5 ( θ s τ ω ) d s + c .
Noting that v ( s , τ t , ω , ψ ) L p p 2 p 1 u ( s , τ t , ω , ψ ) L p p + z ( θ s ω ) L p p , we get
v ( τ + ζ , τ t , θ τ ω , ψ ) L p p c τ ρ 1 τ u ( s , τ t , θ τ ω , ψ ) L p p d s + c τ ρ 1 τ u s ( · , τ t , θ τ ω , ϕ ) C 2 2 d s + c τ ρ 1 τ g ( s ) L 2 2 d s + c τ ρ 1 τ p 6 ( θ s τ ω ) d s + c ,
where p 6 ( ω ) = p 5 ( ω ) + z ( ω ) L p p satisfies
τ ρ 1 τ p 6 ( θ s τ ω ) d s = ρ 1 0 p 6 ( θ s ω ) d s c ρ 1 0 e λ 2 s r ( ω ) d s c r ( ω ) .
Combining (43)-(45) and (58), we find that there exists T = T ( τ , ω , D ) ρ + 1 such that for all t T ,
v ( τ + ζ , τ t , θ τ ω , ψ ) L p p c 0 e m s g ( s + τ ) L 2 2 d s + c r ( ω ) + 1 .
Finally, integrating (54) over ( τ ρ , τ ) and utilizing the same arguments as above, we get for all t T ,
κ τ ρ τ v ( s , τ t , θ τ ω , ψ ) L 2 p 2 2 p 2 d s v ( τ ρ , τ t , θ τ ω , ψ ) L p p + c τ ρ τ u ( s ρ , τ t , θ τ ω , ϕ ) L 2 2 d s + c τ ρ τ g ( s ) L 2 2 d s + c τ ρ τ p 5 ( θ s τ ω ) d s + c c 0 e m s g ( s + τ ) L 2 2 d s + c r ( ω ) + 1 ,
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 Φ associated with the stochastic parabolic equation (1). For this purpose, we first show that Φ has a closed random absorbing set in D .
Lemma 4.
Suppose that assumptions ( A 1 ) - ( A 5 ) hold. Then the non-autonomous random dynamical system Φ has a closed measurable D -pullback absorbing set K = { K ( τ , ω ) : τ R , ω Ω } D as defined by
K ( τ , ω ) = φ C 2 : φ C 2 2 R ( τ , τ , ω ) ,
where R ( τ , τ , ω ) is given by (23).
Proof. Given τ R , ω Ω , and D D , it follows from Lemma 1 that for all t T ,
Φ t , τ t , θ t ω , D ( τ t , θ t ω ) K ( τ , ω ) .
This shows that K ( τ , ω ) ω Ω is a random absorbing set for Φ in D . In what follows, we prove that K is tempered. By (23), we have
R ( τ , τ , ω ) = c 0 e m s g ( s + τ ) L 2 2 d s + c r ( ω ) + 1 .
Then for an arbitrary positive number γ we obtain
e γ t K ( τ + t , θ t ω ) C 2 2 e γ t R ( τ + t , τ + t , θ t ω ) = c e γ t 0 e m s g ( s + τ + t ) L 2 2 d s + c e γ t r ( ω ) + 1 .
Let t 1 = t + τ , then it follows from (11) that
lim t e γ t 0 e m s g ( s + τ + t ) L 2 2 d s = e γ τ lim t 1 e γ t 1 0 e m s g ( s + t 1 ) L 2 2 d s = 0 .
Meanwhile, the second term on the right-hand side of (64) converges to zero as t , which along with (64) and (65) shows that
lim t e γ t K ( τ + t , θ t ω ) C 2 2 = 0 .
Therefore, K is tempered and belongs to D . Notice that for each τ R , R ( τ , τ , · ) : Ω R is ( F , B ( R ) ) -measurable. This implies that K is a closed measurable D -pullback absorbing set for Φ . □
Next, we discuss the D -pullback asymptotic compactness of Φ , which will be proved by utilizing the Arzela-Ascoli theorem in [25].
Lemma 5.
Suppose that assumptions ( A 1 ) - ( A 5 ) hold. Then the non-autonomous random dynamical system Φ of problem (1)-(3) is D -pullback asymptotically compact in C 2 .
Proof. It suffices to show that for every τ R , D = { D ( τ , ω ) : τ R , ω Ω } D and P-a.e. ω Ω , if t n and ϕ n D ( τ t n , θ t n ω ) , then the sequence Φ ( t n , τ t n , θ t n ω , ϕ n ) has a convergent subsequence in C 2 . To this end, we will utilize the Ascoli-Arzela theorem to prove that u τ ( · , τ t n , θ τ ω , ϕ n ) is precompact in C 2 .
First, we prove that u τ ( · , τ t n , θ τ ω , ϕ n ) is uniformly equicontinuous in C 2 . In fact, it follows from (18) and assumptions (A1)-(A5) that
τ ρ τ d d s v ( s , τ t n , θ τ ω , ψ n ) L 2 2 d s c τ ρ τ A v ( s , τ t n , θ τ ω , ψ n ) L 2 2 d s + c τ ρ τ v s ( · , τ t n , θ τ ω , ψ n ) C 2 2 d s + c τ ρ τ u ( s , τ t n , θ τ ω , ψ n ) L 2 p 2 2 p 2 d s + c τ ρ τ u s ( · , τ t n , θ τ ω , ψ n ) C 2 2 d s + c ρ 0 p ( θ s τ ω ) d s + c .
In view of (15), and Lemmas 1-3, we can find large enough positive integer N such that for all n N ,
τ ρ τ d d s v ( s , τ t n , θ τ ω , ψ n ) L 2 2 d s c r ( ω ) + 1 .
Therefore, for every n N and s 1 , s 2 [ ρ , 0 ] ,
v τ ( s 2 , τ t n , θ τ ω , ψ n ) v τ ( s 1 , τ t n , θ τ ω , ψ n ) L 2 | s 2 s 1 | 1 2 τ + s 1 τ + s 2 d d s v ( s , τ t n , θ τ ω , ψ n ) L 2 2 d s 1 2 | s 2 s 1 | 1 2 τ ρ τ d d s v ( s , τ t n , θ τ ω , ψ n ) L 2 2 d s 1 2 c r ( ω ) + 1 | s 2 s 1 | 1 2 .
By (21) and (66) we obtain, for all n N and s 1 , s 2 [ ρ , 0 ] ,
u τ ( s 2 , τ t n , θ τ ω , ϕ n ) u τ ( s 1 , τ t n , θ τ ω , ϕ n ) L 2 c | s 2 s 1 | 1 2 + c z ( θ τ + s 2 ω ) z ( θ τ + s 1 ω ) L 2 ,
which along with the continuity of ω implies the desired equicontinuity.
On the other hand, for each fixed s [ ρ , 0 ] , we can get from Lemma 2 that u ( τ + s , τ t n , θ τ ω , ϕ n ) is bounded in D 0 1 , 2 ( O , σ ) . Then, it follows from the compactness of embedding D 0 1 , 2 ( O , σ ) L 2 ( O ) that u ( τ + s , τ t n , θ τ ω , ϕ n ) is precompact in C 2 . Therefore, we deduce that Φ ( t n , τ t n , θ t n ω , ϕ n ) is asymptotically compact in C 2 . □
We are now in a position to present the existence of D -pullback attractors for Φ in C 2 .
Theorem 1.
Suppose that assumptions ( A 1 ) - ( A 5 ) hold. Then the non-autonomous random dynamical system Φ associated with problem (1)-(3) has a unique D -pullback attractor in C 2 . If, in addition, there exists T > 0 such that g is T-periodic in its first argument, then the attractor is also T-periodic.
Proof. Notice that the random dynamical system Φ has a closed random absorbing set K ( τ , ω ) ω Ω in D by Lemma 4, and is asymptotically compact in C 2 by Lemma 5. Hence the existence of a unique D -pullback attractor for Φ follows from Proposition 2.1 in [31] immediately. If g is T-periodic in its first argument, then the random dynamical system Φ 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 ρ ( 0 , 1 ] and denote the solution and non-autonomous random dynamical system of problem (1)-(3) as u ρ and Φ ρ , respectively. Given τ R and ω Ω , let
B ρ ( τ , ω ) = { φ C 2 : φ C 2 2 R ( τ , τ , ω ) } ,
where R ( τ , τ , ω ) is the number given by (23). It follows from (67) and Lemma 1 that for every ρ ( 0 , 1 ] , B ρ = B ρ ( τ , ω ) : τ R , ω Ω is a D -pullback absorbing set of Φ ρ in C 2 . Let A ρ be the attractor of Φ ρ in C 2 . Then we deduce that for all τ R and P-a.e. ω Ω
A ρ ( τ , ω ) B ρ ( τ , ω ) .
Let ρ = 0 , from (1)-(3) we have
d u d t + λ u ( t , x ) div ( σ ( x ) u ( t , x ) ) = F ( x , u ( t , x ) ) + f ( x , u ( t , x ) ) + g ( t , x ) + j = 1 m h j ( x ) d w j ( t ) d t
for x O and t > τ , with boundary condition
u ( t , x ) = 0 , t > τ , x O ,
and initial condition
u ( τ , x ) = ϕ ( x ) , x O .
Let Φ 0 be the non-autonomous random dynamical system generated by problem (69)-(71) in L 2 ( O ) . Suppose that D 0 is the collection of all tempered families of nonempty subsets of L 2 ( O ) , i.e., for any c > 0 ,
D 0 = { D ( τ , ω ) L 2 ( O ) : τ R , ω Ω } : lim t e c t D ( τ + t , θ t ω ) L 2 = 0 .
We notice that all estimates of solutions in section 3 are valid for ρ = 0 . Therefore, Φ 0 has a unique D 0 -pullback attractor A = A ( τ , ω ) : τ R , ω Ω in L 2 ( O ) and an absorbing set K 0 = K 0 ( τ , ω ) : τ R , ω Ω given by
K 0 ( τ , ω ) = { φ L 2 ( O ) : φ L 2 2 R ( τ , τ , ω ) } .
From (67) and (72), it is trivial to deduce that for all τ R and P-a.e. ω Ω ,
lim sup ρ 0 B ρ ( τ , ω ) C 2 = K 0 ( τ , ω ) L 2 .
We now prove the convergence of solutions of (1)-(3) as ρ 0 . For this purpose, we introduce the following assumption:
  • (A6) There exist α 4 > 0 and β 4 ( x ) L p * ( O ) such that for all x O and u R ,
    u F ( x , u ) α 4 | u | p 2 + β 4 ( x ) ,
    where p * = for p = 2 , and p * = p p 2 for p > 2 .
Lemma 6.
Suppose that assumptions ( A 1 ) - ( A 6 ) hold, τ R , ω Ω and T > 0 . Let u ρ and u be the solutions of (1)-(3) and (69)-(71) with initial data ϕ ρ and ϕ, respectively. Then for every η ( 0 , 1 ] , there exists ϱ ( 0 , 1 ] depending on τ , ω , T , and η such that for all ρ ϱ and t [ τ , τ + T ] ,
sup ρ ζ 0 u ρ ( t + ζ ) u ( t ) L 2 2 c η ϕ ρ C 2 2 + ϕ L 2 2 + r ( ω ) + 1 + c sup ρ ζ 0 ϕ ρ ( ζ ) ϕ L 2 2 ,
where c is a positive constant independent of ρ and η.
Proof. Let v ( t , τ , ω , ψ ) = u ( t , τ , ω , ϕ ) z ( θ t ω ) and v ρ ( t , τ , ω , ψ ρ ) = u ρ ( t , τ , ω , ϕ ρ ) z ( θ t ω ) , where ϕ ( x ) = ψ ( x ) + z ( θ τ ω ) and ϕ ρ ( ζ ) = ψ ρ ( ζ ) + z ( θ τ + ζ ω ) for all ζ [ ρ , 0 ] . Fix ζ [ ρ , 0 ] , and let v ˜ ( t ) = v ρ ( t + ζ ) v ( t ) . Then, for t > τ ζ and ζ [ ρ , 0 ] , v ˜ ( t ) satisfies
v ˜ t + A v ˜ + λ v ˜ = F ( x , u ρ ( t + ζ ) ) F ( x , u ( t ) ) + f ( x , u ρ ( t + ζ ρ ) ) f ( x , u ( t ) ) + g ( t + ζ , x ) g ( t , x ) A z ( θ t + ζ ω ) + A z ( θ t ω ) .
Multiplying (75) by v ˜ and then integrating over O , we have
1 2 d d t v ˜ ( t ) L 2 2 + v ˜ ( t ) D 0 1 , 2 2 + λ v ˜ ( t ) L 2 2 = O ( F ( x , u ρ ( t + ζ ) ) F ( x , u ( t ) ) ) v ˜ d x + O ( f ( x , u ρ ( t + ζ ρ ) ) f ( x , u ( t ) ) ) v ˜ d x + O ( g ( t + ζ ) g ( t ) ) v ˜ d x O ( A z ( θ t + ζ ω ) A z ( θ t ω ) ) v ˜ d x .
For the first term on the right-hand side of (76), by (6) and (74) we obtain
O ( F ( x , u ρ ( t + ζ ) ) F ( x , u ( t ) ) ) v ˜ d x = O F u ( x , u ) ( u ρ ( t + ζ ) u ( t ) ) v ˜ d x = O F u ( x , u ) v ˜ 2 d x + O F u ( x , u ) ( z ( θ t + ζ ω ) z ( θ t ω ) ) v ˜ d x O ( α 4 ( | u ρ ( t + ζ ) | + | u ( t ) | ) p 2 + β 4 ( x ) ) ( | z ( θ t + ζ ω ) | + | z ( θ t ω ) | ) | v ˜ | d x + α 3 v ˜ ( t ) L 2 2 c u ρ L p p + u L p p + v ˜ L p p + z ( θ t + ζ ω ) L p p + z ( θ t ω ) L p p + β 4 L p * p * + α 3 v ˜ L 2 2 .
By (8), we have
O ( f ( x , u ρ ( t + ζ ρ ) ) f ( x , u ( t ) ) ) v ˜ d x C f O | u ρ ( t + ζ ρ ) u ( t ) | | v ˜ ( t ) | d x c v ˜ ( t ) L 2 2 + c u ρ ( t + ζ ρ ) u ( t ) L 2 2 .
Note that
O ( g ( t + ζ ) g ( t ) ) v ˜ d x 1 2 v ˜ ( t ) L 2 2 + 1 2 g ( t + ζ ) g ( t ) L 2 2 ,
and
O ( A z ( θ t + ζ ω ) A z ( θ t ω ) ) v ˜ d x 1 2 v ˜ ( t ) L 2 2 + A z ( θ t + ζ ω ) L 2 2 + A z ( θ t ω ) L 2 2 .
It follows from (77)-(80) that for t > τ ζ and ζ [ ρ , 0 ] ,
d d t v ˜ ( t ) L 2 2 c u ρ ( t + ζ ) L p p + u ( t ) L p p + 1 + c u ρ ( t + ζ ρ ) u ( t ) L 2 2 + c v ˜ ( t ) L 2 2 + g ( t + ζ ) g ( t ) L 2 2 + c p 7 ( θ t ω ) ,
where p 7 ( ω ) = z ( θ ζ ω ) L p p + z ( ω ) L p p + A z ( θ ζ ω ) L 2 2 + A z ( ω ) L 2 2 . Let t [ τ , τ + T ] and t τ ζ . Integrating the above inequality over ( τ ζ , t ) , we obtain
v ˜ ( t ) L 2 2 v ˜ ( τ ζ ) L 2 2 + c τ ζ t v ˜ ( s ) L 2 2 d s + c τ ζ t u ρ ( s + ζ ) L p p + u ( s ) L p p + 1 d s + c τ ζ t u ρ ( s + ζ ρ ) u ( s ) L 2 2 d s + τ ζ t g ( s + ζ ) g ( s ) L 2 2 d s + c τ ζ t p 7 ( θ s ω ) d s .
For the fourth term on the right-hand side of (82), we have
τ ζ t u ρ ( s + ζ ρ ) u ( s ) L 2 2 d s = τ ζ τ + ρ ζ u ρ ( s + ζ ρ ) u ( s ) L 2 2 d s + τ + ρ ζ t u ρ ( s + ζ ρ ) u ( s ) L 2 2 d s .
Meanwhile, we observe that
τ ζ τ + ρ ζ u ρ ( s + ζ ρ ) u ( s ) L 2 2 d s 2 τ ζ τ + ρ ζ u ρ ( s + ζ ρ ) ϕ L 2 2 d s + 2 τ ζ τ + ρ ζ u ( s ) ϕ L 2 2 d s 2 τ ρ τ u ρ ( s ) ϕ L 2 2 d s + 2 τ ζ τ + ρ ζ u ( s ) ϕ L 2 2 d s ,
and
τ + ρ ζ t u ρ ( s + ζ ρ ) u ( s ) L 2 2 d s = τ ζ t ρ u ρ ( s + ζ ) u ( s + ρ ) L 2 2 d s τ ζ t u ρ ( s + ζ ) u ( s + ρ ) L 2 2 d s 2 τ ζ t u ρ ( s + ζ ) u ( s ) L 2 2 d s + 2 τ ζ t u ( s + ρ ) u ( s ) L 2 2 d s .
Thus, we have
τ ζ t u ρ ( s + ζ ρ ) u ( s ) L 2 2 d s 2 ρ sup ρ ζ 0 ϕ ρ ( ζ ) ϕ L 2 2 + 2 τ ζ τ + ρ ζ u ( s ) ϕ L 2 2 d s + 4 τ ζ t v ˜ ( s ) L 2 2 d s + 4 τ ζ t z ( θ s + ζ ω ) z ( θ s ω ) L 2 2 d s + 2 τ ζ t u ( s + ρ ) u ( s ) L 2 2 d s .
By (82)-(83), for t [ τ , τ + T ] and t τ ζ , we obtain
v ˜ ( t ) L 2 2 v ˜ ( τ ζ ) L 2 2 + c ρ sup ρ ζ 0 ϕ ρ ( ζ ) ϕ L 2 2 + c τ ζ t v ˜ ( s ) L 2 2 d s + c τ ζ t u ρ ( s + ζ ) L p p + u ( s ) L p p + 1 d s + c τ τ + 2 ρ u ( s ) ϕ L 2 2 d s + c τ t u ( s + ρ ) u ( s ) L 2 2 d s + τ t g ( s + ζ ) g ( s ) L 2 2 d s + c τ t p 8 ( θ s ω ) d s ,
where p 8 ( θ s ω ) = p 7 ( θ s ω ) + z ( θ ζ ω ) L 2 2 + z ( ω ) L 2 2 . Therefore, it follows from (17) that for given η > 0 , there exists ρ 1 ( 0 , 1 ] such that for all ρ ρ 1 , ζ [ ρ , 0 ] , and s [ τ , τ + T ] ,
τ t p 8 ( θ s ω ) d s c τ t e λ 2 s r ( ω ) d s c η r ( ω ) .
Noting that lim ρ 0 τ τ + 2 ρ u ( s ) ϕ L 2 2 d s = 0 , we obtain that there exists ρ 2 ρ 1 such that for all ρ ρ 2 ,
τ τ + 2 ρ u ( s ) ϕ L 2 2 d s η .
Since u : [ τ , τ + T + 1 ] L 2 ( O ) is uniformly continuous, there exists ρ 3 ρ 2 such that for all ρ ρ 3 and s [ τ , τ + T ] ,
u ( s + ρ ) u ( s ) L 2 η .
At the same time, noting that g L l o c 2 ( R , L 2 ( O ) ) , we obtain
lim ζ 0 τ τ + T g ( s + ζ ) g ( s ) L 2 2 d s = 0 ,
and hence that there exists ρ 4 ρ 3 such that for all ρ ρ 4 , and ζ [ ρ , 0 ] ,
τ τ + T g ( s + ζ ) g ( s ) L 2 2 d s η .
By utilizing (29), we get for ρ ( 0 , 1 ]
τ ζ t u ρ ( s + ζ ) L p p d s c ϕ ρ C 2 2 + τ τ + T g ( s ) L 2 2 d s + r ( ω ) + 1 .
Similarly, by (69) we have
τ τ + T u ( s ) L p p d s c ϕ L 2 2 + τ τ + T g ( s ) L 2 2 d s + r ( ω ) + 1 .
It follows from (84)-(90) that for all ρ ρ 4 , t [ τ , τ + T ] , t τ ζ , and ζ [ ρ , 0 ] ,
v ˜ ( t ) L 2 2 v ˜ ( τ ζ ) L 2 2 + c τ ζ t v ˜ ( s ) L 2 2 d s + c η ϕ ρ C 2 2 + ϕ L 2 2 + r ( ω ) + 1 + c ρ sup ρ ζ 0 ϕ ρ ( ζ ) ϕ L 2 2 .
Now, the Gronwall’s inequality yields that for all ρ ρ 4 , t [ τ , τ + T ] , t τ ζ , and ζ [ ρ , 0 ] ,
v ˜ ( t ) L 2 2 c v ˜ ( τ ζ ) L 2 2 + c η ϕ ρ C 2 2 + ϕ L 2 2 + r ( ω ) + 1 + c ρ sup ρ ζ 0 ϕ ρ ( ζ ) ϕ L 2 2 .
Note that
v ˜ ( τ ζ ) L 2 2 4 u ρ ( τ ) ϕ L 2 2 + 4 u ( τ ζ ) ϕ L 2 2 + 2 z ( θ τ ω ) L 2 2 + 2 z ( θ τ ζ ω ) L 2 2 ,
which along with (17) and the continuity of u shows that there exists ρ 5 ρ 4 such that for all ρ ρ 5 ,
v ˜ ( τ ζ ) L 2 2 c η r ( ω ) + 1 + c sup ρ ζ 0 ϕ ρ ( ζ ) ϕ L 2 2 .
It follows from (92) that for all ρ ρ 5 , t [ τ , τ + T ] , t τ ζ , and ζ [ ρ , 0 ] ,
v ρ ( t + ζ ) v ( t ) L 2 2 c η ϕ ρ C 2 2 + ϕ L 2 2 + r ( ω ) + 1 + c sup ρ ζ 0 ϕ ρ ( ζ ) ϕ L 2 2 ,
which implies that for all ρ ρ 5 , t [ τ , τ + T ] , t τ ζ , and ζ [ ρ , 0 ] ,
u ρ ( t + ζ ) u ( t ) L 2 2 c η ϕ ρ C 2 2 + ϕ L 2 2 + r ( ω ) + 1 + c sup ρ ζ 0 ϕ ρ ( ζ ) ϕ L 2 2 .
In the following, we consider the case τ t τ ζ . Let ς = t τ , then t = ς + τ and 0 ς ρ . In this case, we have
u ρ ( t + ζ ) u ( t ) L 2 2 2 sup ρ ζ 0 ϕ ρ ( ζ ) ϕ L 2 2 + 2 u ( ς + τ ) ϕ L 2 2 .
Combining 0 ς ρ with the continuity of u at τ , we duduce that there exists ρ 6 ρ 5 such that for all ρ ρ 6 and τ t τ ζ ,
u ρ ( t + ζ ) u ( t ) L 2 2 c sup ρ ζ 0 ϕ ρ ( ζ ) ϕ L 2 2 + c η ,
which together with (94) means that for all ρ ρ 6 , t [ τ , τ + T ] , and ζ [ ρ , 0 ] ,
u ρ ( t + ζ ) u ( t ) L 2 2 c η ϕ ρ C 2 2 + ϕ L 2 2 + r ( ω ) + 1 + c sup ρ ζ 0 ϕ ρ ( ζ ) ϕ L 2 2 .
Therefore, the proof of Lemma 6 is completed. □
We now present the uniform compactness of random attractors with respect to ρ , whose proof is similar to the proof of Lemma 7.2 in [31], and hence is omitted.
Lemma 7.
Suppose that assumptions ( A 1 ) - ( A 6 ) hold. If ρ n 0 and u n A ρ n ( τ , ω ) , then there exist a subsequence u n m of u n and u L 2 ( O ) satisfy
lim m sup ρ n m ζ 0 u n m ( ζ ) u L 2 = 0 .
Finally, we provide the upper semicontinuity of random attractors as ρ 0 .
Theorem 2.
Suppose that assumptions ( A 1 ) - ( A 6 ) hold. Then for all τ R and P-a.e. ω Ω ,
lim ρ 0 dist H ( A ρ ( τ , ω ) , A ( τ , ω ) ) = 0 ,
where dist H is the distance defined for any subset E of C ( [ ρ n , 0 ] , X ) and S of X by
dist H ( E , S ) = sup ϕ E inf x S sup ρ s 0 ϕ ( s ) x X .
.
Proof. Let ρ n 0 , ϕ ρ n A ρ n , and ϕ L 2 ( O ) satisfying sup ρ n ζ 0 ϕ ρ n ( ζ ) ϕ L 2 0 as n . It follows from Lemma 6 that for every τ R , t 0 , and P-a.e. ω Ω ,
lim n sup ρ n ζ 0 Φ ρ n ( t , τ , ω , ϕ ρ n ) ( ζ ) Φ 0 ( t , τ , ω , ϕ ) L 2 = 0 ,
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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