Motivated by the class of energy models proposed by Balakrishnan-Taylor (1989), Bass and Zes (1991), and Krasovskii (1963), in this work we study the well-posedness and existence of pullback attractor for the wave equation with time-dependent energy damping. The theory of pullback dynamics is based on the recent results established by Carvalho et al. (2013). More specifically, we prove that the evolution process associated with the proposed problem is strongly pullback bounded dissipative and pullback asymptotically compact. This is the first work on pullback dynamics for an energy-damped wave equation.
Problems involving evolution models with structural damping defined by the energy of the stationary model associated have been addressed by several researchers in recent years, see e.g. Balakrishnan (1988), Balakrishnan and Taylor (1989), Bass and Zes (1991), Chueshov (2015), Krasovskii (1963), Sun and Yang (2022a), and Tang et al. (2023). It is well known that damping in evolutionary models affects long-term behavior, specifically fatigue. When damping terms are nonlocal we have a major realism of the model in question, since relevant models in Continuum Mechanics, Mathematical Physics, and Biology are spatially nonlocal, see e.g. Fernández-Cara et al. (2016), Gilboa and Osher (2008) and Lu (2005). In this article, we consider a non-autonomous semilinear model associated with wave propagation energy damping under Dirichlet boundary conditions. Sufficient conditions for strongly pullback bounded dissipative and pullback asymptotically compact of the nonlinear evolution process associated with our model are obtained.
The Model
Carvalho et al. (2013, Chapter 15) considered the following non-autonomous damped wave equation for a scalar variable posed on a smooth bounded domain :
subject to the boundary condition
and smooth dynamics properties were studied, in the sense of pullback attractors.
In this work, our main objective is to consider model (1.1) to (1.2) in the context of energy damping models. More specifically, let be a domain with smooth boundary , , we consider the following non-autonomous wave model with nonlocal energy damping
where , is a nonlinear source term, , is the total instantaneous energy associated with the linear part of the system, and represents the norm in . We consider (1.3) with the Dirichlet boundary condition
and the initial conditions
Here, we will use the same arguments of Carvalho et al. (2013, Chapter 15) in the analysis of pullback dynamics of boundary-initial value problem (1.3) to (1.5); namely, we consider the pullback attractor theory performed in Carvalho et al. (2013).
In what follows we present the physical justifications for the proposed model and the literature published in connection with this class of problems.
Physical Motivation
Krasovskii (1963) considered the following class of second-order dissipative equations
where the intensity of dissipation is determined by a function that depends on the energy of the system given by . Energy-type nonlinear damping models of the form play a central role and their relation to all other nonlinear damping models is thoroughly studied. This class of problems is connected with damping phenomena in flight structures with free response studied by Balakrishnan (1988) and Balakrishnan and Taylor (1989). In Balakrishnan (1988) the proposed model in terms of the basic second-order dynamics for the displacement variable in free response is described by
where is the mode frequency and is a (small) damping coefficient is a nonlinear damping that can be given by functions like
Later, in Balakrishnan and Taylor (1989) using approximation of Krylov–Bogoliubov, Balakrishnan–Taylor suggested the following class of damping models based on the instantaneous total energy of the system with
where and is the energy associated with system (1.7). Note that, the Krasovskii’s model (1.6) and Balakrishnan–Taylor’s model (1.7) (with ) are identified in the case .
Recent Works
Chueshov (2015, Section 5.3.3) consider the following infinite-dimensional version of the Krasovskii system (1.6)
in a separable Hilbert space where, as above, is a positive operator with a discrete spectrum, is a scalar bounded Lipschitz function on such that and is strictly increasing for . On the interval the function can be arbitrary. For instance,
The existence of a non-compact global attractor has been established.
More recently, Tang et al. (2023) consider the following infinite-dimensional wave version of the Krasovskii’s model (1.6)
where and is a sourcing term, which is naturally used in the study of the dynamics of problems in the context of attractors. The authors prove the existence of a global attractor and, in addition, develop a new process concerning the dimension near the degenerate point individually and show the infinite dimensionality of the attractor. Note that, in model (1.9), the function of Krasovskii can be expressed approximately by
Motivated by this class of energy models, we propose to study problem (1.9) with the nonlocal dissipation coefficient in its intrinsic form proposed by Balakrishnan–Taylor and multiplied by a time-dependent bounded function . The model is established by (1.3)–(1.5).
In the proposed equation (1.3) the function of Krasovskii is given by , , which is a strictly increasing function for with . This function extends the class considered in (1.8) and (1.9). Extends the considered in (1.8) because it is not bounded in , and extends the considered in (1.9) because contains exponents not covered in (1.9). For example, the case . Furthermore, the presence of the function makes the system non-autonomous, which changes the study context from autonomous to non-autonomous systems. The work is justified as the first analysis of pullback dynamics for this class of energy wave models.
Plan Work
Our article is organized as follows. In Section 2, we give some preliminary notations, state and prove the well-posedness results for problem (1.3)–(1.5). The existence and uniqueness of mild and regular solutions are obtained through results from the semigroup theory established by Pazy (1983). In Section 3, we first present the basic definitions and results of the theory of pullback dynamics (which we use in this work) established by in Carvalho et al. (2013). Next, we prove the main result of this work, Theorem 3.2, which guarantees that the evolution process generated by the mild solutions of the problem (1.3)–(1.5) has a pullback attractor. The result shows that the process is strongly pullback bounded dissipative and has the pullback asymptotically compact property.
Well-Posedness
In this section, we shall formalize assumptions on the nonlinear source term and the real function , and we shall establish well-posedness for the model (1.3)–(1.5). In order, denoting by the first eigenvalue of the operator with the Dirichlet boundary condition (1.2), then
We will discuss the existence and uniqueness of the solution to problem (1.3)–(1.5) under Assumption 2.1. Below we use the following notations. Let be a separable Banach space. We denote by with the space of Bochner measurable functions such that . is a Banach space with norm given by
Let also the space of strongly continuous functions with values in and we define
Here is a distributional derivate of with respect to .
We also denote , , and . Here, the notation stands for -inner product, and denotes -norm. Thus, and represent the norms in and respectively. When there is no possibility of confusion we shall use the same notation to represent the duality pairing between any Banach space and its dual . We also consider the following Hilbert spaces
We assume that is bounded, globally Lipschitz, and
We take to be continuously differentiable function with and polynomial growth
for some , and
for some constants , and for .
We set , define , then we can rewrite the non-autonomous problem (1.3)–(1.5) as
where is an unbounded linear operator defined by
and is the nonlinear operator
We will use the following definition of solutions.
A function is a regular (classical) solution of (2.4) on if is continuous on , continuously differentiable on , for and (2.4) is satisfied on .
Let be the infinitesimal generator of a -semigroup . Let and be continuous in on and Lipschitz continuous on . The function given by
is the mild solution of the initial value problem (2.4) on .
Hence, the well-posedness result for (2.4), and consequently for the equivalent non-autonomous system (1.3)–(1.5), reads as follows:
[Well-Posedness] Under Assumption 2.1 we have:
if , then there exists such that the non-autonomous problem (2.4) has a unique mild solution , which is given by
Moreover, if then
If , then the above mild solution is a regular solution.
The proof of item (I) will be established in three steps below.
Step 1 It is easy to see that operator is an infinitesimal generator of a -group of unitary operators on , see e.g. Pazy (1983, Theorem 10.8).
Step 2 The nonlinear operator given in (2.6) is locally Lipschitz independent of . Indeed, let us take and such that . Denoting , we have
Now, let’s estimate the terms on the right-hand side of the above equality. First, note that we can rewrite
Using that , it is easy to see that
Next, again using that and , we have
Finally, from Mean Value Theorem (MVT), Assumption (2.2), Hölder’s inequality with , and embedding , we get
Thus, returning to (2.8), there exists a constant independent of such that
From Pazy (1983, Chapter 6, Theorem 1.4) the initial value problem (2.4) has a unique mild solution on .
Step 3 The mild solution is globally defined, that is, Indeed, in order we define
Multiplying the equation (1.3) by and integrating over we get
where is the energy functional associated with (1.3)–(1.5) given by
where , which implies that
Next, from Assumption (2.3) and using that , we have
Estimate (2.15) implies that any mild solution is globally bounded in time. Therefore, from Pazy (1983, Chapter 6, Theorem 1.4) we conclude that Which completes the proof of .
The regularity of the mild solution for is established in Step 4 below.
Step 4 Let . Deriving the equation (1.3) with respect to and taking the multiplier in the resulting expression, it holds that
where
Now let us estimate the terms on the right-hand side of equality (2.16). Firstly, using (2.10), definition of , Assumption (2.2), Hölder inequality with , embedding , and (2.15), we obtain that
for every . Then, integrating (2.17) on and using Gronwall’s inequality, we arrive at
This implies that is differentiable on . Since , is continuosly differentiable on . Thus, using the continuous differentiability of and the assumption on the differentiable of , it follows that is continuously differentiable on Therefore, from Pazy (1983, Chapter 6, Theorem 1.5) we conclude that the mild solution of (2.4) with is a regular solution of (2.4). This proves (II) and completes the proof of Theorem 2.1.
Nonlinear Evolution Process
Consequently, from Theorem 2.1 we may define a nonlinear evolution process in by
for any . This also implies that each bounded subset of has orbit and pullback orbit bounded.
We recall (see Carvalho et al., 2013, p.3) that a nonlinear evolution process on a metric space is a family of two-parameter continuous maps satisfying
The process is said to be closed if for any pair and any sequence in , such that , we have . Moreover, is said to be continuous if the mapping is continuous for each pair fixed.
Pullback Attractors
This section is dedicated to proving the existence of a pullback attractor for the nonlinear evolution process generated by the non-autonomous problem (1.3)–(1.5) in . In order we will present some important abstract results related to the pullback attractor established in Carvalho et al. (2013).
Abstract Results
Carvalho et al. (2013, Definition 1.11) Let be a nonlinear evolution process on a metric space . Given , a set pullback attracts a set at time under if
pullback attracts bounded sets at time if (3.19) holds for each bounded subset of . A time-dependent family of subsets of , , pullback attracts bounded subsets of under if pullback attracts bounded sets at time under , for each .
Carvalho et al. (2013, Definition 1.12) A family is the pullback attractor for a nonlinear evolution process if
is compact for each ,
is invariant with respect to ,
pullback attracts bounded subsets of , and
is the minimal family of closed sets with property (iii).
Since these conditions are hard to verify in many cases, there are some equivalent statements.
Carvalho and Sonner (2013, Definition 6) Let be a nonlinear evolution process in a metric space . A family of bounded subsets is said to be strongly pullback absorbing all bounded subsets of , if for all bounded and there exits such that
Processes possessing a family of bounded strongly pullback absorbing subsets are called strongly pullback bounded dissipative.
Carvalho et al. (2013, Definition 2.8) A nonlinear evolution process in a metric space is said to be pullback asymptotically compact if, for each , each sequence with as , and each bounded sequence the sequence has a convergent subsequence.
The following theorem gives a sufficient condition for the existence of a compact pullback attractor that is bounded in the past, i.e.
is bounded for each .
Carvalho et al. (2013, Theorem 2.23) If a nonlinear evolution process is strongly pullback bounded dissipative and pullback asymptotically compact and is a family of bounded subsets of such that, for each , pullback attracts bounded subsets of at time for each , then has a compact pullback attractor such that and is bounded for each .
Here is the limit set at time of in given by
or, equivalently
Existence of a Pullback Attractor
The main result of the present article is the following theorem.
(Pullback attractor)
Under Assumption 2.1 with the nonlinear evolution process generated by the non-autonomous problem (1.3)–(1.5) in has pullback attractor in .
The proof is based on two propositions stated below. Proposition 3.3 guarantees that the process is strongly pullback bounded dissipative and Proposition 3.6 shows that has the pullback asymptotically compact property. Then the existence of a pullback attractor follows from Theorem 3.1.
Strong Bounded Dissipativity
Under Assumption 2.1 the evolution process in is strongly pullback bounded dissipative.
In order, we define the functional
Let . Multiplying the equation (1.3) by and integrating over , we get
is a constant pullback absorbing family. Which proves that is strongly bounded dissipative in the sense of Definition 3.3.
Pullback Asymptotically Compact
We now present a convenient criterion for verifying the pullback asymptotic compactness of the process (Definition 3.4). The result is a version for non-autonomous systems of the criterion for autonomous systems established by Chueshov and Lasiecka (2008, Proposition 2.10). The adaptation of the criterion for non-autonomous systems can be carried out with minimal changes in a similar way to that performed by Ma et al. (2017, Theorem 3.2) with and we omit the proof here.
Ma et al. (2017, Theorem 3.2) Let be a Banach spaces and be an evolution process that possesses a pullback absorbing family . Suppose that for any and there exists a time and a contractive function such that
Then the process is pullback asymptotically compact.
We recall that:
Let be a Banach space and be a bounded subset of . We call a function , defined on , a contractive function on if for any sequence , there is a subsequence such that
The main result of this section is set out below.
Let be a bounded set and consider the difference of two generalized solutions of the non-autonomous problem (1.3)–(1.5) given by and with . Under the conditions of the Theorem 2.1 with exponent such that there exists a constants and a constant (depending on ), such that the following inequality holds
where
Denoting and , then the difference solves the following problem
Multiplying the equation (3.31) by and integrating over we obtain the following equality
Now let us give an estimate for the term . By multiplying the equation (3.31) by
and integrating over , we get
where
In what follows, we will estimate the terms . We will use to denote various constants that depend on .
Using that , MVT, Assumptions (2.1) and (2.2), Hölder’s inequality with , and embedding , we obtain the following estimate for
Using that , from Assumption (2.1) it is easy to see that
To estimate the term first let us give an estimate for . In fact, using that each solution is a solution to problem (1.3)–(1.5) the following relation is valid
From Assumption (2.2), Hölder’s inequality with , and embedding , we get
Substituting this last inequality in (3.36), we have
Hence, using that , we have
Thus, from Assumption (2.1), we can estimate the term as follows
Finally, using Assumption (2.1) and that , we have
Substituting the terms in (3.35) and using that , we obtain the following estimate for
Therefore according to the Theorem 3.1, only if the function is a contractive function then the proof of Proposition 3.6 is complete. It remains to show that is contractive on . To this end, let be a sequence in . By estimate (3.29) we have
It follows that is bounded in . Note that the compact embedding is valid for . Then, by the Aubin–Lions Theorem, there exists a subsequence such that converges for some in . Thus, we have
On the other hand, by using Lemma 8.1 in Lions and Magenes (1972, Page 275), (3.46) also implies that is bounded in , and then is bounded in for all From this one gets
and due to the compact embedding theorem, we infer
where we remember that .
Also, from assumptions on , we have
Now, regarding that
we get
From this identity (which also holds true for ) and from the limits (3.49)–(3.50), we finally arrive at
Which proves that is a contractive function. Therefore, the proof of Proposition 3.6 is now complete.
(Further comments)
In this article, we considered the existence of pullback attractor for (2.4) on the space using arguments from Chueshov and Lasiecka (2008); Lions and Magenes (1972); Ma et al. (2017), differently of the ideas in Carvalho et al. (2013). Inspired by Carvalho et al. (2013, Sections 15.5 and 15.6) it is natural to ask whether the pullback attractor is gradient-like, this will require higher regularity of the attractor; namely, it is possible to prove that is a bounded subset of ? These issues are still open to study.
Also, it is natural to ask whether the pullback attractor is upper semicontinuous concerning the scalar parameter or functional parameter , this will require higher regularity of the attractor. These issues also are still open to study.
Footnotes
Author Contributions
All authors contributed to the study conception and design.
Funding
The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Vando Narciso was supported by the Fundect/CNPq 15/2024.
Declaration of Conflicting Interests
The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Data Availability Statement
The data used to support the findings of this study are included in the article.
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