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Pullback attractors for non-autonomous reaction–diffusion equation with infinite delays in \(C_{\gamma,L^{r}(\Omega)}\) or \(C_{\gamma,W^{1,r}(\Omega)}\)
Boundary Value Problems volume 2018, Article number: 99 (2018)
Abstract
In this paper, the well-posedness for the non-autonomous reaction–diffusion equation with infinite delays on a bounded domain is established. The existence of pullback attractors for the process in \(C_{\gamma,L^{r}(\Omega)}\) and \(C_{\gamma,W^{1,r}(\Omega)}\) is proved, respectively. The noncompact Kuratowski measure is applied to check the asymptotic compactness.
1 Introduction
Let \(\Omega \subseteq \mathbb{R}^{n}\) be a smooth bounded domain. Consider the long-time behavior of the following non-autonomous nonlinear reaction–diffusion equation:
where \(\lambda \geq 0\), and we have the nonlinear term
Suppose there exist two positive constants \(k_{1}\), \(k_{2}\), and three positive scalar functions \(m_{0}(\cdot )\), \(e^{-r\gamma \rho (t)}m _{1}(t)\), \(m_{2}(\cdot )e^{-\gamma z}\) which are all in \(L^{1}((- \infty ,0],\mathbb{R}^{+})\) such that the functions \(F\in C( \mathbb{R}\times \mathbb{R};\mathbb{R})\), \(\rho \in C(\mathbb{R};[0,+ \infty ))\), and \(G\in C(\mathbb{R} \times (-\infty ,0]\times \mathbb{R};\mathbb{R})\) satisfy
and the non-autonomous term \(g\in L^{r}_{\mathrm {loc}}(\mathbb{R};L^{r}(\Omega ))\) (\(r>1\)) satisfies
for each \(\delta \in \{\alpha ,\alpha -L,r(\delta -\eta )\}\), where α, L, δ, η will be given in Lemma 4.1, the local r-power integral is the Bochner integral. We will denote \(m_{0}=\int^{0}_{-\infty }m_{0}(s)\,ds\), \(m_{1}=\int^{0} _{-\infty }e^{-\gamma s}m_{1}(s)\,ds\), and \(m_{2}=\int^{0}_{-\infty }e ^{-\gamma s}m_{2}(s)\,ds\).
Let \(C_{\gamma ,X}\) denote the Banach space \(C((-\infty ,0];X)\) endowed with the norm
where X is \(L^{r}{(\Omega )}\) or \(W^{1,r}(\Omega )\).
Given \(\tau \in \mathbb{R}\), \(T>\tau \) and a function \(u:(-\infty ,T]\rightarrow X\). For each \(t\in [\tau ,T]\), \(u_{t}:(- \infty ,0]\rightarrow X\) denotes the function defined by \(u_{t}(z)=u(t+z)\) for \(z\in (-\infty ,0]\). We are interested in the initial condition \(\phi \in C_{\gamma ,X}\).
Retarded differential equations have been used to research many physical systems with non-instant transmission phenomena such as internet data transmission, other memory processes, and specially biological motivations (e.g. species growth or incubating time on disease models [1, 2]). For autonomous systems with delays, the existence of solutions or global attractors has been studied widely in [3–5] and their qualitative theory has also been well-established. For autonomous systems with variable bounded or unbounded delays, the classical theory extended in [6–13] has been applied to deal with the existence of solution and special attractors. In fact, autonomous systems with variable delays are non-autonomous in essence. Except that time-periodic equations can be dealt with classic theory relatively straightforward manner, the qualitative properties or asymptotic behavior of many general non-autonomous systems are analyzed by new ideas and methods. In recent years, non-autonomous diffusion equations have attracted much attention in mathematical literature. Duong [14] considered a class of flux-limited diffusions with external force and established the comparison and maximum principles. Jung et al. [15] considered the nonlinear singularly perturbed reaction–diffusion problems in the polygonal domain and proposed a boundary layer analysis which fits a domain with corners.
For the reaction–diffusion systems with finite delays, there are also a sires of work [11, 16, 17]. More recently, Wang et al. [10] proved the existence of pullback attractors in the weighted space \(C_{\gamma ,H^{1}(\Omega )}\) for the multi-value process generated by (1) based on the concept of the Kuratowski measure of the noncompactness of a bounded set, where the growth of nonlinear term \(F(x,v)\) and \(G(x,s,v)\) are both linear, and the non-autonomous term \(g(t,x)\in L^{2}_{\mathrm {loc}}(\mathbb{R};L^{2}( \Omega ))\) satisfies
In the present paper, we will prove the existence of solution and the pullback attractors of (1) in the bounded domain of \(C_{\gamma , L^{r}{(\Omega )}}\) or \(C_{\gamma , W^{1,r}(\Omega )}\) under the conditions (2)–(6) for \({r\geq 2}\).
The main work of this paper contains three issues. Since the space \(L^{r}{(\Omega )}\) (\(r>2\)) loses the inner product and orthogonality, canonical projector and approximation methods [10] are both ineffective to prove the existence of solutions and pullback attractors of (1). In order to overcome this difficulty, we adopt the idea of [17] and decompose (1) into two equations to separate the non-autonomous term to establish well-posedness (see Theorem 3.7 and Theorem 3.10). In addition we investigate the existence of pullback absorbing set by using the approximation technique of [9, 10] to overcome difficulties stemming from infinite delays and infinite dimensions. Consequently, for verifying the asymptotic compactness of (1) in \(C_{\gamma ,L^{r}{(\Omega )}}\) (\(r>2\)), we employ the weak continuous semigroup theory and finite dimensional approximation method in [16, 18] to construct compact embedding results (see Theorem 5.6). Moreover, by improving smooth effect of the semigroup \(e^{At}\), we prove the dissipativity and the existence of pullback attractors for (1) in \(C_{\gamma ,W^{1,r}(\Omega )}\) (see Lemma 6.1).
The paper is organized as follows. Section 2 gives some preliminaries concerning the definitions of processes and the pullback attractors of non-autonomous dynamical systems. We also give the definition of ω-limit compact and a suitable non-autonomous frameworks for the discussion of attractors in the future. In Sect. 3, we consider the well-posedness of (1) in \(C_{\gamma ,L^{r}{(\Omega )}}\) and \(C_{W^{1,r}(\Omega )}\), respectively. In Sects. 4 and 6, we prove the existence of bounded absorbing sets in both spaces above. In Sects. 5 and 7, the existence of pullback attractors in \(C_{\gamma ,L^{r}{( \Omega )}}\) and \(C_{\gamma ,W^{1,r}(\Omega )}\) is proved.
2 Preliminaries
Let X be a complete metric space with metric \(d_{X}(\cdot ,\cdot )\). Denote by \(H^{*}_{X}(\cdot ,\cdot )\) the Hausdorff semi-distance between two nonempty subsets of a complete metric space X, which is defined by
Definition 2.1
A mapping \(U(t,\tau ):X\rightarrow X\), \(t> \tau \) in \(\mathbb{R}\), is called a process if
-
(1)
\(U(\tau ,\tau )x=x\), \(\forall \tau \in \mathbb{R}\), \(x\in X\);
-
(2)
\(U(t,s)U(s,\tau )x=U(t,\tau )x\), \(\forall \tau \leq s\leq t \in \mathbb{R}\), \(x\in X\).
Definition 2.2
The Kuratowski measure \(k(A)\) of noncompactness of the set A is defined by
Definition 2.3
Let \(\{U(t,\tau )\}\) be a process on X. We say that \(\{U(t,\tau )\}\) is
-
(1)
pullback dissipative, if there exists a family of bounded sets \(\mathcal{D}=\{{D(t)}\}_{t\in \mathbb{R}}\) in X so that, for any bounded set \(B\subset X\) and each \(t\in \mathbb{R}\), there exists a \(S_{0}=S_{0}(B,t)\in \mathbb{R}^{+}\) such that
$$ U(t,t-s)B\subset D(t), \quad \forall s\geq S_{0}; $$ -
(2)
\(\mathcal{{D}}\)-pullback ω-limit compact with respect to each \(t\in \mathbb{R}\), if, for any \(\varepsilon >0\), there exists a \(S_{1}=S_{1}(\mathcal{{D}},t,\varepsilon )\in \mathbb{R}^{+}\) such that
$$ k \biggl(\bigcup_{s\geq S_{1}}U(t,t-s)D(t-s) \biggr)\leq \varepsilon . $$
Proposition 2.4
If the process \(\{U(t,\tau )\}\) is \(\mathcal{D}\)-pullback ω-limit compact in X, then \(\{U(t,\tau )\}\) is pullback ω-limit compact for any bounded subset B of X.
It follows from Theorem 3 of [10].
Definition 2.5
A family of nonempty compact subsets \(A=\{A(t)\}_{t\in \mathbb{R}}\) of X is called to be a pullback attractor for the process \(\{U(t,\tau )\}\) if
-
(1)
\(\mathcal{A}=\{A(t)\}_{t\in \mathbb{R}}\) is invariant, i.e.,
$$ U(t,\tau )A(t)=A(t), \quad \forall t\geq \tau ,\tau \in \mathbb{R} ; $$ -
(2)
\(\mathcal{A}\) is pullback attracting, i.e., for every bounded set B of X and any fixed \(t\in \mathbb{R}\),
$$ \lim_{s\rightarrow +\infty } H^{*}_{X} \bigl(U(t,t-s)B,A(t)\bigr)=0. $$
Definition 2.6
Let \(\{U(t,\tau )\}\) be a process on X. We say that \({U(t,\tau )\zeta }\) is norm-to-weak continuous in ζ for any fixed \(t\geq \tau \), \(\tau \in \mathbb{R}\), if there exists a sequence \(\zeta_{n}\rightarrow \zeta \) in X and \(t_{n} \rightarrow t\) such that \({U(t_{n},\tau )\zeta_{n}}\rightharpoonup {U(t,\tau )\zeta }\) (weak convergence).
The general existence of pullback attractors has been given as follows [10].
Proposition 2.7
Let X be a Banach space, and let \(\{U(t,\tau )\}\) be a process on X. Let \(U(t,\tau ) \zeta \) is norm-to-weak continuous in x for fixed \(t\geq \tau \), \(\tau \in {\mathbb{R}}\). If, for any fixed \(t\in \mathbb{R}\), \(\forall T\in \mathbb{R}^{+}\), \(\bigcup_{t\geq T}D(t)\) is bounded, the process \(\{U(t,\tau )\}\) is pullback dissipative and \(\mathcal{{D}}\)-pullback ω-limit compact with respect to each \(t\in \mathbb{R}\), then \(\{U(t,\tau )\}\) possesses a pullback attractor in \(\mathcal{A}=\{A(t)\}_{t\in \mathbb{R}}\) in X given by
3 Existence of solutions
By a solution \(u\in C((-\infty ,T];X^{1})\) of (1), we mean that, for any \(T>0\), \(z\in (-\infty ,0]\), \(\tau < t\leq T\),
where \(u(t)=\phi (t-\tau ,x)\), \(u(\tau )=\phi (0,x)\), \(t\in (-\infty , \tau ]\).
Let \(A=\Delta \). \(X^{\alpha }\) is the fractional power space associated to the operator Δ. The linear operator \(A=\Delta \) with Dirichlet boundary conditions in a bounded and smooth domain Ω can be seen as an unbounded operator in \(L^{r}(\Omega )\), \(1< r< \infty \), with domain \(D(A)=W^{2,r}(\Omega )\cap W^{1,r}_{0}(\Omega )\). In this situation, \(-A=-\Delta \) is a sectorial operator and generates an analytic semigroup \(e^{At}\) in \(L^{r}({\Omega })\). Denote by \(\{E^{\alpha }_{r}\}_{\alpha \in \mathbb{R}}\) the fractional power spaces associated to A with the norm \(\Vert u \Vert _{E^{\alpha }_{r}}= \Vert (-A)^{ \alpha }u \Vert _{L^{r}({\Omega })}\), \(u\in E^{\alpha }_{r}\). Notice that \(E^{0}_{r}=L^{r}(\Omega )\) and \(E^{1}_{r}=W^{2,r}(\Omega )\cap W^{1,r} _{0}(\Omega )\). It follows from [19] that the semigroup \(e^{At}\) has the following smooth effect:
Since the embedding \(E^{1}_{r}\hookrightarrow E^{0}_{r}\) is compact, we know from Remark 6.1 of [20] that the resolvent of −A is compact, and the embedding \(E^{\alpha }_{r}\hookrightarrow E^{\beta } _{r}\) is continuous and compact for \(\forall \alpha >\beta \).
3.1 Local existence of solutions for (1) in \(C_{\gamma,L^{r}(\Omega)}\) (\(1< r<\infty\))
In order to apply Theorem 1 [18] to prove the existence of a solution for (1), we decompose system (1) into a linear system and a non-autonomous nonlinear system as follows, respectively:
and
where \(\tilde{f}(x,w_{t})=f(x,w_{t}+v_{t})\), \(f_{1}(w)=-\lambda (w+v)\), \(u _{t}=v_{t}+w_{t}\).
Lemma 3.1
([21])
For any \(\tau \leq t_{1}< t_{2}\), \(\frac{1}{p}+\frac{1}{q}=1\),
Furthermore, Eq. (10) has a unique solution \(v(t)\) in the sense of (8) such that
satisfies
where \(T_{0}\) is chosen in Lemma 3.6 later.
Proof
Note that we can choose \(0<{t_{2}}-{t_{1}}\leq 1\). □
Lemma 3.2
Assuming (2)–(5) hold, we have
where \(w,\nu \in C((-\infty ,T_{0}+\tau ];L^{r}(\Omega ))\), \(t\in (\tau ,T_{0}+\tau ]\).
Proof
Denote \(X^{\alpha }_{r}:=E^{\alpha -1}_{r}\), \(\alpha \in \mathbb{R}\). Especially, \(X^{1}_{r}:=L^{r}(\Omega )\). For any \(u,\psi \in C((-\infty ,T_{0}+\tau ];L^{r}(\Omega ))\) and any \(t\in (\tau ,T_{0}+\tau ]\) we get
and
Combining with (15) and (16), for any \(u,\psi \in C(( \tau ,T_{0}+\tau ];X^{1 })\), we have
where \(C_{3}\) and \(C_{4}\) depend on \((k_{1},k_{2},m_{0},m_{1},m_{2})\). From (17) and (18), we obtain
and
Hence, (13) and (14) are obvious. □
Lemma 3.3
If \(u\in C((-\infty ,T_{0}+\tau ],L^{r}(\Omega ))\), then, for all \(t\in (\tau ,T_{0}+\tau ]\), \(z\in (-\infty ,0]\), we have
where
Proof
By (9), it is not difficult to see that
□
Lemma 3.4
For any \(t\in (\tau ,T_{0}+\tau ]\), \(z\in (-\infty ,0]\) and any \(w,\nu \in C((-\infty ,T_{0}+\tau ],L^{r}(\Omega ))\) be such that \((t-\tau ) \Vert w_{t} \Vert _{C_{\gamma ,L^{r}(\Omega )}}\leq \mu \), \((t-\tau ) \Vert \nu_{t} \Vert _{C_{\gamma ,L^{r}(\Omega )}}\leq \mu \), for some \(\mu >0\). Then we have
Proof
□
Lemma 3.5
([22])
Assume \(u:(-\infty ,T_{0})\rightarrow X\) is continuous and \(u_{\tau }=\phi \). If there exists a nondecreasing function \(m(t)\geq 0\) such that
then
Lemma 3.6
Assume (2)–(6) hold. Let \(1< r<\infty \), \(z\in (- \infty ,0]\). For any \(\chi_{\tau }\in C( (-\infty ,0]; L^{r}(\Omega ))\), there exist \(R(\chi_{\tau })>0\) and \(T_{0}=T_{0}(\chi_{\tau })\) with the property that, for any \(\phi \in B_{C_{\gamma ,L^{r}(\Omega )}}( \chi_{\tau },R)\), there exists a continuous function \(w(\cdot ;\phi (0))\) with \(w_{\tau }=\phi \):
such that, for any \(t\in [\tau ,T_{0}+\tau ]\), w is the unique solution of Eq. (11) in the sense of (8). This solution is a classical solution and for any \(t\in (\tau ,T_{0}+ \tau ]\), satisfies
and
and, moreover, if \(\phi_{1},\phi_{2}\in B_{C_{\gamma ,L^{r}(\Omega )}}( \chi_{\tau },R)\) then
Furthermore, the time of existence is uniform on any bounded set (respectively, compact set) S of \(C_{\gamma ,L^{r}(\Omega )}\).
Proof
Fix \(\mu >0\) and for any \(\tau \in \mathbb{R}\), \(\forall t\in (-\infty ,\tau ]\), let \(\Vert \phi \Vert _{C_{\gamma ,L^{r}( \Omega )}}\leq \mu \). We will use the contraction mapping principle to establish the existence of a solution for (11).
Let
with the norm
where \(T_{0}\) is determined later. So that \((K, \Vert \cdot \Vert )\) is a nonempty complete metric space. For each \(t\in (\tau ,T_{0}+\tau ]\), we introduce the mapping
Let us first prove that Φ is a well-defined map and \(\Phi (K(T _{0}))\subset K(T_{0})\). We start by showing that
Fixing \(t_{2}\in (\tau ,T_{0}+\tau ]\), and letting \(T_{0}+ \tau \geq t_{1}>t_{2}\), then we have
In the above, the first and fourth term trivially go to zero as \(t_{1}\rightarrow t_{2}\). Let us consider the second term. For this term we have
which goes to zero as \(t_{1}\rightarrow t_{2}^{+}\). Similarly, the third term also goes to zero as \(t_{1}\rightarrow t_{2}^{+}\). The case \(t_{1}< t_{2}\) is similar.
Let us now show that \(\Vert \Phi (w)(t) \Vert _{L^{r}(\Omega )}\leq \mu +1\), for all \(t\in (\tau ,T_{0}+\tau ]\). For \(\chi_{\tau } \in C((-\infty ,0]; L^{r}(\Omega ))\) fixed, choose \(r\ll 1\) and \(T_{0}\leq \frac{1-r}{C(\lambda +1)(1+\omega (t))}\) such that, for any \(t\in (\tau ,T_{0}+\tau ]\), by (9), we have \(\Vert e^{ A(t- \tau )}\chi_{\tau } \Vert _{L^{r}(\Omega )}\leq \mu \), and \(\Vert e ^{ A(t-\tau )}r \Vert _{L^{r}(\Omega )}\leq r\).
Based on the above fact, we have
On the other hand, it follows from Lemma 3.3 that Φ is a strict contraction in \(K(T_{0})\) and that
The simple computations above suggest that we can choose \(T_{0}\) small enough so that the map Φ is contraction from \(K(T_{0})\) into itself. By the Banach contraction principle we see that Φ has a unique fixed point in \(K(T_{0})\). We will denote this fixed point by \(w(t,\phi )\) for \(t\in (\tau ,T_{0}+\tau ]\), \(\phi \in C((-\infty ,0],L ^{r}(\Omega ))\), and it is defined for \(\Vert \phi -\chi_{\tau } \Vert _{C_{ \gamma ,L^{r}(\Omega )}}\leq \rho\). Note that from (31) \(w(t,\phi )\in C((-\infty ,T_{0}+\tau ];L^{r}(\Omega ))\).
Let us prove that \((t-\tau ) \Vert w_{t} \Vert _{C_{\gamma ,L ^{r}(\Omega )}} \rightarrow 0\) as \(t\rightarrow \tau^{+}\).
From Lemma 3.3,
By Lemma 3.5, we obtain
Thus by the Gronwall inequality, we have
Moreover, if \(\forall \phi_{1},\phi_{2}\in B_{{C_{\gamma ,L ^{r}(\Omega )}} }(\chi_{\tau },r)\), taking into account the estimates of Lemma 3.3 and our choice of \(T_{0}\), we have
By Lemma 3.5, we have
Furthermore,
where \(M_{1}=1+C(1+\lambda )\).
This concludes the existence of the theorem. Notice that, from the existence part, we see that, for any \(\phi \in B_{{C_{\gamma ,L ^{r}(\Omega )}} }(\chi_{\tau },R)\), there exists a unique solution in the sense of (8), defined in \([\tau ,T_{0}+\tau ]\). The uniqueness of solutions for Eq. (11) is proved. □
Theorem 3.7
Assume (2)–(6) hold. Let \(1< r<\infty \), \(g\in L^{r} _{\mathrm {loc}}(\mathbb{R};L^{r}(\Omega ))\) (\(r>1\)), \(z\in (-\infty ,0]\). If \(\nu_{\tau }\in C((-\infty ,0];L^{r}(\Omega ))\), there exist \(0< R(\nu_{\tau })\leq R(\chi_{\tau })\) and \(T_{0}(\nu_{\tau })\leq {T_{0}(\chi_{\tau })} \) with the property that, for any \(\phi \in B _{C_{\gamma ,L^{r}(\Omega )}}(\nu_{\tau },R) \), there exists a continuous function \(u(\cdot ;\phi (0))\) with \(u_{\tau }=\phi \):
which is the unique solution of (1) in the sense of (8). This solution is a classical solution and \(\forall t \in (\tau ,T_{0}+\tau ]\) it satisfies
and
if \(\forall \phi_{1},\phi_{2}\in B_{\gamma ,L^{r}(\Omega )}( \upsilon_{\tau },r)\), then
Furthermore, the time of existence is uniform on any bounded set (respectively, compact set) S of \(C_{\gamma ,L^{r}(\Omega )}\).
Proof
By Lemma 3.1 and Lemma 3.6, Eq. (1) has a unique solution \(u\in C((-\infty ,T_{0}];L^{r}(\Omega ))\) satisfying (33)–(35). □
3.2 Local existence of solutions of (1) in \(C_{\gamma,W^{1,r}(\Omega)}\) (\(1< r< N\))
Lemma 3.8
([21])
For any \(t_{1}< t_{2}\), \(0< \frac{1}{q}-\frac{1}{2}\), where \(\frac{1}{r}+\frac{1}{q}=1\), we have
Furthermore, Eq. (10) has a unique solution \(v(t)\) in the sense of (8) such that
satisfies
Proof
We have
□
Lemma 3.9
Assume (2)–(6) hold. Let \(1< r< N\), \(z\in (-\infty ,0]\). If \(\chi_{\tau }\in C((-\infty ,0]; W^{1,r}(\Omega ))\), there exist \(R(\chi_{\tau })>0\) and \(T_{0}( \chi_{\tau })>0 \) with the property that \(\forall t\in (-\infty , \tau )\) for any \(\phi \in B_{C_{\gamma ,W^{1,r}(\Omega )}}(\chi_{ \tau },R)\), there exists a continuous function \(w(\cdot ;\phi (0))\) with \(w_{\tau }=\phi \):
which is the unique solution of (11) in the sense of (8). This solution is a classical solution and \(\forall t \in (\tau ,T_{0}+\tau ]\), \(z\in (-\infty ,0]\), satisfies
and
and if \(\phi_{1},\phi_{2}\in B_{C_{\gamma ,W^{1,r}(\Omega )}}(\chi _{\tau },R)\), then
Furthermore, the time of existence is uniform on any bounded set (respectively, compact set) S of \(C_{\gamma ,W^{1,r}(\Omega )}\).
Proof
For \(\forall t\in (\tau ,T_{0}+\tau ]\), \(z\in (-\infty ,0]\) and any \(w,\nu \in C((-\infty ,T_{0}+\tau ];W^{1,r}(\Omega ))\), using (2),(3), we obtain (13) and (14). The remaining part of the proof is similar to Lemma 3.6. □
Theorem 3.10
Assume (2)–(6) hold. Let \(1< r<\infty \), \(r>1\), \(z\in (-\infty ,0]\). If \(\nu_{\tau }\in C((-\infty ,0]; W^{1,r}(\Omega ))\), there exist \(0< R(\nu_{\tau })\leq R(\chi_{\tau })\) and \(T_{0}(\nu_{\tau })\leq T_{0}(\chi_{\tau })\) with the property that for any \(\phi \in B_{C_{\gamma ,W^{1,r}(\Omega )}}(\nu_{\tau },R)\), there exists a continuous function \(u(\cdot ;\phi (0))\) with \(u_{\tau }= \phi \):
which is the unique solution of (11) in the sense of (8). This solution is a classical solution and \(\forall t \in [\tau ,T_{0}+\tau ]\) it satisfies
and if \(\phi_{1},\phi_{2}\in B_{C_{\gamma ,W^{1,r}(\Omega )}}(\nu_{ \tau },R) \), then
Furthermore, the time of existence is uniform on any bounded set (respectively, compact set) S of \(C_{\gamma ,W^{1,r}(\Omega )}\).
Proof
It follows from Lemmas 3.8 and 3.9. The proof is similar to Theorem 3.7. Here we omit the details. □
4 Uniform estimates in \(C_{\gamma,L^{r}(\Omega)}\)
Lemma 4.1
Assume that (2), (3), and (6) hold, \(g\in L^{r}_{\mathrm {loc}}(\mathbb{R};L^{r}(\Omega ))\), and there exists a positive constant α such that
and
Then, for any initial data \(\phi \in C_{\gamma ,L^{r}(\Omega )}\), any solution \(u_{t}\) of Eq. (1) satisfies
where \(\varepsilon_{2}\), \(\varepsilon_{4}\) will be determined later on.
Proof
Multiplying (1) by \(\vert u(t) \vert ^{r-2}u(t)\) and integrating by parts, we get
We fix two positive parameters \(\varepsilon_{1}\) and \(\varepsilon_{4}\) that will be chosen later. Then, by assumptions (2), (6) and Young’s inequality, we have
and
Therefore
Let \(\alpha >0\), it will also be determined later. Then
Integrating from τ to t, we have
By assumption (3), (6) and Young’s inequality, we obtain
where \(\varepsilon_{2}\) and \(\varepsilon_{3}\) are other positive constants to be determined later.
Combining (52)–(53) we conclude that
Choosing \(\varepsilon_{1}=\lambda \), \(\varepsilon_{3}=1\), we now can choose positive constants \(\varepsilon_{2}\) and \(\varepsilon_{4}\) small enough such that \((\lambda -(\varepsilon_{2}+\bar{m}_{1} +\varepsilon _{4})({r-1})-\alpha )>0\). Then
Now set \(t+\theta \) instead of t, where \(\theta \in (-\infty ,0]\). By the assumption (45), we have \(\alpha \leq r\gamma \). Multiplying (55) by \(e^{-\alpha ( t+\theta )}\) and \(e^{r\gamma \theta } e^{-r\gamma \theta }\), it follows that
where
Note that
Let \(L:={m}_{1}+\frac{2^{r} k_{2}^{r}}{\lambda^{(r-1)}}<\alpha \). Then it yields
By Fubini’s theorem and Grownwall’s lemma, we find that
Hence, (6) and condition (45) imply that
For each \(t\in \mathbb{R}\), let
which implies that the family of bounded sets \(B=\{B_{R_{1,C_{\gamma ,L^{r}(\Omega )}}}(t)\}_{t\in \mathbb{R}}\) is pullback absorbing for the process \(\{U(t,\tau )\}\) on \(C_{\gamma ,L^{r}(\Omega )}\). □
5 Existence of the pullback attractors in \(C_{\gamma,L^{r}(\Omega)}\) (\(r>2\))
In this section, we will discuss the case where the external forcing term g belongs only to \(L^{r}_{\mathrm {loc}}(\mathbb{R},L^{r}(\Omega ))\). Inspired by the idea for proving the existence of global attractors in \(L^{r}(\Omega )\), we modify Theorem 5.11 [18] to prove the existence of the pullback attractors in \(C_{\gamma ,L^{r}( \Omega )}\).
Lemma 5.1
Hypotheses (2), (3), (6) hold, and \(g\in C(\mathbb{R};L^{2}(\Omega ))\). Then there exists a pullback attractor \(\{\mathcal{A}_{C_{\gamma ,L^{2}(\Omega )}}(t)\}_{t\in \mathbb{R}}\) for the processes \(\{U(t,\tau )\}\) on \({C_{\gamma ,L^{2}( \Omega )}}\) generated by the solution of Eq. (1).
Proof
By Theorem 13 [10], the processes \(\{U(t,\tau )\}\) on \(C_{\gamma ,H^{1}(\Omega )}\) associated with Eq. (1) has a pullback attractor \(\mathcal{A}_{C_{\gamma ,H^{1}( \Omega )}}\). From the Sobolev embedding theorem \(H^{1}(\Omega )\hookrightarrow \hookrightarrow L^{2}(\Omega )\) and \(C_{\gamma ,H^{1}(\Omega )}\subseteq C_{\gamma ,L^{2}(\Omega )}\), \(\mathcal{A}_{C_{\gamma ,H^{1}(\Omega )}}\) is a pullback attractor for the processes \(\{U(t,\tau )\}\) on \(C_{\gamma ,L^{2}(\Omega )}\). □
Lemma 5.2
Let \(\{U(t,\tau )\}\) associated with Eq. (1) be an evolution process on \(C_{\gamma ,L^{r}(\Omega )}\) with a pullback absorbing set \(\mathcal{D}=\{D(t)\}_{t\in \mathbb{R}}\) on \(C_{\gamma ,L^{r}(\Omega )}\). Then, for each \(t\in \mathbb{R}\), for any \(\varepsilon >0\), and any pullback absorbing set \(\mathcal{D}\subset C_{\gamma ,L^{r}(\Omega )}\), there exist \(T =T (\mathcal{D},t,\varepsilon )>0\), \(M=M(\varepsilon )>0\) such that
where \(m(e)\) denotes the Lebesgue measure of \(e\subset \Omega \) and \(\Omega^{\cdot }_{t}( \vert u_{t}(z) \vert \geq M)\overset{\vartriangle }{=} \bigcup_{z\in (-\infty ,0]}\{x\in \Omega\mid \vert u(t+z,x) \vert \geq M\}\).
Proof
From the assumption that \(\{U(t,\tau )\}\) has a pullback absorbing set in \(C_{\gamma ,L^{r}(\Omega )}\), we know that there exists a positive constant \(M_{0}\), such that, for each \(t\in \mathbb{R}\) and for any pullback absorbing set \(\mathcal{D}\) of \(C_{\gamma ,L^{r}( \Omega )}\), we can find a positive constant T which depends on \(\mathcal{D}\), such that
So, we have
This inequality implies that \(m(\Omega^{\cdot }_{t}(\{ \vert U(t,t+z)u^{0}(t+z) \vert \geq M_{1}\}))\leq \varepsilon \), if we choose \(M_{1}\) large enough such that \(M_{1}\geq (\frac{M_{0}}{e^{-\gamma T_{1}}\varepsilon })^{ \frac{1}{r}}\). □
Lemma 5.3
For each \(t\in \mathbb{R}\), any \(\varepsilon >0\), the pullback absorbing set \(\mathcal{D}\) of process \(\{U(t,\tau )\}\) associated with Eq. (1) on \(C_{\gamma ,L^{r}(\Omega )}\) (\(r>0\)) has a finite ε-net in \(C_{\gamma ,L^{r}(\Omega )}\), if there exists a positive constant \(M=M(\varepsilon )\) which depends on ε, such that
-
(i)
\(\mathcal{D}\) has a finite \((3M)^{(2-r)/2}(\frac{\varepsilon }{2})^{ \frac{r}{2}}\)-net in \(C_{\gamma ,L^{2}(\Omega )}\),
-
(ii)
$$\begin{aligned} \begin{aligned}[b]& \biggl(\sup_{z\in (-\infty ,0]} e^{\gamma z} \int_{\Omega^{z}_{t}(\{ \vert u(t+z) \vert \geq M\})} \bigl\vert u(t+z) \bigr\vert ^{r}\,dx \biggr)^{ \frac{1}{r}}\\&\quad < 2^{-(2r+2)/r}\varepsilon , \quad \textit{for any } u_{t}(\cdot )\in \mathcal{D}.\end{aligned} \end{aligned}$$(61)
Proof
For each \(t\in \mathbb{R}\), any fixed \(\varepsilon >0\), it follows from the assumptions that \(\mathcal{D}\) has a finite \(\frac{(3M)^{(2-r)}}{2\varepsilon^{r/2}}\)-net in \(C_{\gamma ,L^{2}( \Omega )}\), that is, there exist \(u_{t}^{1},\ldots,u_{t} ^{k}\in \mathcal{D}\), such that, for each \(u_{t}(\cdot )\in \mathcal{D}\), we can find some \(u_{t}^{i}\) (\(1\leq i\leq k\)) satisfying
Then, obviously, we have
and
On the other hand, set
then we have
From the simple facts that \(\vert u(t+z)-u^{i}(t+z) \vert \leq 2 \vert u(t+z) \vert \) in \(\Omega_{1}^{z}\) and \(\vert u(t+z)-u^{i}(t+z) \vert \leq 2 \vert u^{i}(t+z) \vert \) in \(\Omega_{2}^{z}\), combining with (61), we have
Substituting (64) and (65) into (63), we can deduce that
which means that \(\mathcal{D}\) has a finite ε-net in \(C_{\gamma ,L^{r}(\Omega )}\). □
Lemma 5.4
Let \(\mathcal{D}\) be a pullback absorbing set in \(C_{\gamma ,L^{r}( \Omega )}\) (\(r\geq 1\)). If \(\mathcal{D}\) has a finite ε-net in \(C_{\gamma ,L^{r}(\Omega )}\) (\(r\geq 1\)) then there exists a positive \(M=M(B,\varepsilon )\), such that, for any \(u_{t}(\cdot )\in \mathcal{D}\), \(z\in (-\infty ,0]\), we can find
Proof
Since \(\mathcal{D}\) has a finite ε-net in \(C_{\gamma ,L^{r}(\Omega )}\) (\(r\geq 1\)), for each \(t\in \mathbb{R}\), we know that there exist \(u_{t}^{1},\ldots,u_{t}^{k}\in \mathcal{D}\), such that, for any \(u_{t}(\cdot )\in \mathcal{D}\), we can find some \(u_{t}^{i}\) (\(1\leq i\leq k\)) satisfying
Simultaneously, for the fixed \(\varepsilon >0\), there exists a \(\delta >0\), such that, for each \(u_{t}^{i}\), \(1\leq i\leq k\), we have
provided that \(m(e)<\delta\) (\(e\subset \Omega \)).
On the other hand, since \(\mathcal{D}\) is bounded in \(C_{\gamma ,L^{r}(\Omega )}\) (\(r\geq 1\)), for the fixed \(\delta >0\) above, there exists \(M>0\), such that \(m(\Omega^{\cdot }_{t}( \vert u(t+z) \vert \geq M))< \delta \) holds for each \(u_{t}\in B\). So, \(m(\Omega^{z}_{t}( \vert u(t+z) \vert \geq M))<\delta \) also holds for each \(u_{t}\in B\).
Therefore,
□
Lemma 5.5
For each \(t\in \mathbb{R}\), for any \(\varepsilon >0\) and any pullback absorbing set \(\mathcal{D}\in C_{\gamma ,L^{2}(\Omega )}\), there exist two positive constants \(T_{3}=T_{3}(B,\varepsilon )=\max \{T_{1},T _{2}\}\) and \(M=M(\varepsilon )\), such that
where the constant C is independent of ε and \(\mathcal{D}\).
Proof
For each \(t\in \mathbb{R}\), any fixed \(\varepsilon >0\), there exists \(\delta >0\) such that if \(e\subset \Omega \) and \(m(e)\leq \delta \), then
where \(\phi (x),g(x)\in L^{r}{(\Omega )}\). Moreover, from Lemmas 5.1, 5.2 and 5.4, we know that there exist \(T=T (\mathcal{D},\varepsilon )>0\) and \(M=M(\varepsilon )\), for each \(-z\geq T \), \(u_{t}(\cdot )\in D\), we have
and
Thus, we also have
Multiplying (1) by \((u-M)_{+}^{r-1}\) and integrating over \(\Omega^{0}_{t}=\Omega^{0}_{t}(u >M)\), we have
After integrating over \(\Omega^{0}_{t}(u >M)\), (74) becomes
where
Let \(\Omega^{0}_{1,t}=\Omega^{0}_{t}(u >M)\), then we have
We now estimate every term of (75). First, we obtain
and
By the assumption (2), (3), (6) and Young’s inequality, we have
and
Combining with (76)–(80), we can conclude that
We also have
Let \(\alpha >0\), which will also be determined later. Then
Let \(A=(r\lambda -\alpha -(r-1)(\varepsilon_{1}+\varepsilon_{2}+ {m}_{1}\varepsilon_{3}+\varepsilon_{4}))\). By Gronwall’s inequality, we have
Thanks to (46), and letting \(\alpha_{1}>\alpha \geq \alpha ^{*}\), we can deduce that
Multiplying (84) by \(e^{-\alpha t}\), we have
Now replacing t by \(t+z\), similar to the arguments in Lemma 4.1, in view of (45), we have
Furthermore, by (57) and (70), we have
where \(\alpha >L\). Repeating the same steps above, just taking \((u(t+z )-M)_{-}\) instead of \((u(t+z )-M)_{+}\), we deduce that
From (88), (89) and Lemma 5.1, we know the hypotheses of Lemma 5.3 are all satisfied. Therefore the process \(\{U(t,\tau )\}\) generated by Eq. (1) is \(\mathcal{D}\)-pullback ω-limit compact. □
Theorem 5.6
Suppose in addition to the hypotheses in Lemma 4.1 that \(g\in C(\mathbb{R},L^{r}(\Omega ))\). Then the processes \(\{U(t,\tau ) \}\) on \(C_{\gamma , L^{r}(\Omega )}\) generated by the solution of Eq. (1) with \(u_{0}\in C_{\gamma , L^{r}(\Omega )}\) has the \(\mathcal{D}\)-pullback attractors \(\{\mathcal{A}_{C_{\gamma , L^{r}( \Omega )}}(t)\}_{t\in \mathbb{R}}\).
Proof
From Theorem 7.1, Lemmas 4.1, 5.1 and 5.5, now for every bounded subset B in \(C_{\gamma ,L^{r}(\Omega )}\), the process generated by Eq. (1) has the pullback attractors in \(C_{\gamma ,L^{r}(\Omega )}\). □
6 Uniform estimates in \(C_{\gamma,W^{1,r}(\Omega)}\)
Let semigroup \(e^{At}\) has the following higher smooth effect [19]:
Lemma 6.1
Suppose the conditions of Lemma 4.1 hold and
holds, the family of processes \(\{U_{g}(t,\tau )\}\) is uniformly dissipative in \(C_{\gamma ,W^{1,r}(\Omega )}\), where \(g(x,t)\in L^{r} _{\mathrm {loc}}{(\mathbb{R};L^{r}(\Omega ))}\), \(\eta >0\) will be determined later.
Proof
Choosing \(\alpha_{1}\) with \(\alpha <\alpha_{1}\) and using (46), we obtain
It is obvious that \(Q(\alpha_{1},\alpha ,L,\tau ,\phi ,g_{0},t)\) is bounded, as \(\tau \rightarrow -\infty \). From the well-posedness of (1), we know that the solution of (1) satisfies
Therefore, using (90) and choosing \(\alpha_{1}>0\), \(\eta >0\), \(q=\frac{r}{r-1}<2\), \(r>2\) such that \(0<\alpha <r(\delta -\eta )=\alpha_{1}<r\gamma \), for each \(t\geq \tau \) we obtain
Then, by (46), (92), Hold’s inequality and Young’s inequality, we have
Similarly, combining (2), (3), and (6), we have
and
Similar to the arguments in Lemma 4.1, for each \(t\in \mathbb{R}\), we can conclude that by (91)
Hence, we can see that \(\sup_{z\in [-\infty ,0]}e^{-r\gamma z} \Vert u(t+z) \Vert _{W^{1,r}{(\Omega )}}\) is bounded, for each \(t\in \mathbb{R}\), \(z\in (-\infty ,0]\), as \(\tau \rightarrow -\infty \), which implies the process \(\{U(t,\tau )\}\) has pullback absorbing sets in \(C_{\gamma ,W^{1,r}(\Omega )}\). □
7 Existence of the pullback attractors in \(C_{\gamma,W^{1,r}(\Omega)}\)
Theorem 7.1
Suppose in additional to the hypotheses in Lemma 6.1 and \(g(s)\in C( \mathbb{R}, W^{1,r}(\Omega ))\), \(F\in C^{1}(\mathbb{R}\times \mathbb{R}; \mathbb{R})\), \(G\in C^{1}(\mathbb{R} \times \mathbb{R}\times \mathbb{R};\mathbb{R})\), \(\frac{\partial F}{\partial x}\), \(\frac{\partial G}{\partial x}\) are both bounded. Then the processes \(\{U(t,\tau )\}\) on \(C_{\gamma ,W^{1,r}(\Omega )}\) generated by the solution of Eq. (1) with \(\phi \in C_{\gamma ,W^{1,r}(\Omega )}\) has the pullback attractors \(\mathcal{A}_{C_{\gamma ,W^{1,r}(\Omega )}}\).
Proof
We divide the proof into three steps.
Step 1. Taking gradient operator ∇ to act on (1), we can obtain
Multiplying (100) by \(\vert \nabla u \vert ^{r-2}\nabla u\) and integrating by parts, we get
By the same arguments as Lemma 4.1, we also obtain the process \(\{U(t,\tau )\}\) generating by (100) has pullback absorbing sets in \(C_{\gamma ,W^{1,r}(\Omega )}\).
Step 2. According to Theorem 15 [10], Eq. (1) has a pullback attractor \(\mathcal{A}_{C_{\gamma ,H^{1}(\Omega )}}\). Hence, by the same arguments as Theorem 5.6, we also obtain the process \(\{U(t,\tau )\}\) generating by Eq. (100) on \(C_{\gamma ,L^{2}( \Omega )}\) is ω-limit compact.
Step 3. Combining step 1, step 2, and Lemma 6.1, as the proof of Theorem 5.6, we find that the process \(\{U(t,\tau )\}\) generated by Eq. (100) on \(C_{\gamma ,W^{1,r}(\Omega )}\) has pullback absorbing sets and is \(\mathcal{D}\) pullback ω-limit compact. Thus, we know from Theorem 5.6 the process \(\{U(t,\tau )\}\) generating by Eq. (1) has the pullback attractors \(\mathcal{A}_{C_{\gamma ,W ^{1,r}(\Omega )}}\). □
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Acknowledgements
The authors gratefully acknowledge the support of the National Natural Science Foundation of China (Nos. 11701244, 11772007, 11561060, 11661070, and 51468028), the Natural Science Foundation of Beijing (No. 1172002), the International Science and Technology Cooperation Program of China (No. 2014DFR61080).
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Ran, Y., Li, J. Pullback attractors for non-autonomous reaction–diffusion equation with infinite delays in \(C_{\gamma,L^{r}(\Omega)}\) or \(C_{\gamma,W^{1,r}(\Omega)}\). Bound Value Probl 2018, 99 (2018). https://doi.org/10.1186/s13661-018-1017-8
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DOI: https://doi.org/10.1186/s13661-018-1017-8
Keywords
- Pullback attractor
- Reaction–diffusion equation
- Infinite delays
- Nonautonomous equation