Convergence to equilibrium for a bulk--surface Allen--Cahn system coupled through a Robin boundary condition
Kei Fong Lam, Hao Wu

TL;DR
This paper proves that solutions to a coupled bulk-surface Allen--Cahn system with Robin boundary conditions converge to a single equilibrium over time, providing convergence rates and addressing new coupling challenges.
Contribution
It establishes convergence to equilibrium for a bulk-surface Allen--Cahn system with Robin boundary conditions, extending previous results to more complex coupling scenarios.
Findings
Global strong solutions converge to equilibrium
An extended Lojasiewicz--Simon inequality is used
Convergence rate estimates are provided
Abstract
We consider a coupled bulk--surface Allen--Cahn system affixed with a Robin-type boundary condition between the bulk and surface variables. This system can also be viewed as a relaxation to a bulk--surface Allen--Cahn system with non-trivial transmission conditions. Assuming that the nonlinearities are real analytic, we prove the convergence of every global strong solution to a single equilibrium as time tends to infinity. Furthermore, we obtain an estimate on the rate of convergence. The proof relies on an extended Lojasiewicz--Simon type inequality for the bulk--surface coupled system. Compared with previous works, new difficulties arise as in our system the surface variable is no longer the trace of the bulk variable, but now they are coupled through a nonlinear Robin boundary condition.
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Taxonomy
TopicsSolidification and crystal growth phenomena · Advanced Mathematical Modeling in Engineering · Nonlinear Partial Differential Equations
Convergence to equilibrium for a bulk–surface Allen–Cahn system coupled through a Robin boundary condition
Kei Fong Lam111Department of Mathematics, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong ([email protected]).
Hao Wu222School of Mathematical Sciences and Shanghai Key Laboratory for Contemporary Applied Mathematics, Fudan University, Shanghai 200433, China; Key Laboratory of Mathematics for Nonlinear Sciences (Fudan University), Ministry of Education, Shanghai 200433, China ([email protected]).
Abstract
We consider a coupled bulk–surface Allen–Cahn system affixed with a Robin-type boundary condition between the bulk and surface variables. This system can also be viewed as a relaxation to a bulk–surface Allen–Cahn system with non-trivial transmission conditions. Assuming that the nonlinearities are real analytic, we prove the convergence of every global strong solution to a single equilibrium as time tends to infinity. Furthermore, we obtain an estimate on the rate of convergence. The proof relies on an extended Łojasiewicz–Simon type inequality for the bulk–surface coupled system. Compared with previous works, new difficulties arise as in our system the surface variable is no longer the trace of the bulk variable, but now they are coupled through a nonlinear Robin boundary condition.
**Key words. ** Allen–Cahn equation, bulk–surface interaction, global well-posedness, convergence to equilibrium, Łojasiewicz–Simon inequality
**AMS subject classification. ** 35B40, 35D35, 35K20, 35K61
1 Introduction
The coupling of bulk and surface (boundary) interactions can be found in various physical processes with boundary effects, for instance, the phase separation of binary mixtures with effective short-range interaction between the mixture and the solid wall [27], the moving contact line problem [34], the heat conduction problem with a boundary heat source [16], certain Markov process with diffusion, absorption and reflection on the boundary [38], and so on. From the mathematical point of view, those nontrivial dynamics on the boundary that serve to account for the influences of the boundary to the bulk dynamics inside the domain are described by the so-call dynamic boundary condition, as besides the spatial derivatives it also involves temporal derivatives of the unknown variable (in some specific cases, its variant is also referred to as the Wentzell boundary condition). As an illustrating example, we recall a generic heat equation with dynamic boundary condition posed in a bounded domain with boundary that reads as
[TABLE]
where , , denote non-negative constants, and are prescribed external heat sources located in the domain and on the boundary, is the normal derivative of on with unit outward normal , and denotes the Laplace–Beltrami operator on . The above problem can be rewritten as the following bulk–surface system
[TABLE]
for the bulk variable defined in as well as a surface variable defined on . In particular, the above nonhomogeneous Dirichlet boundary condition for on turns out to be a transmission condition that connects the two variables by imposing that is the trace of on . In this paper, we focus our interests on the coupling of bulk and surface interactions in certain phase separation process. One typical model is the Allen–Cahn equation [1], a second order semilinear parabolic equation, whose connection with the motion by mean curvature for free interfaces has been well-established by several authors [7, 14, 25]. Together with its fourth-order counterpart i.e., the Cahn–Hilliard equation [4], these so-called phase field models have become essential components of more complex mathematical models for the evolution of multi-phase phenomena.
The bulk–surface coupled Allen–Cahn system that we are going to investigate reads as follows
[TABLE]
where is a positive constant. The study of problem (1.1) is partially motivated by the following system of equations and dynamic boundary conditions of Allen–Cahn type for bulk variable and surface variable in a recent work [11]:
[TABLE]
where is an arbitrary but fixed constant, and are prescribed external forces, and are maximal monotone and possibly non-smooth graphs, while and are some non-monotone Lipschitz perturbations. The system (1.2) generalize previous analyses in [5, 9, 12, 18] from the standard relation in dynamic boundary conditions to an affine linear transmission condition with and . The motivation for such a modification to the relation between the bulk and surface variables, as originally described in [11] for the Cahn–Hilliard equation, is to study potential competitions between bulk and surface phase separations in the special case and . Aside from a direct approach with an abstract formulation [9] to establish the strong well-posedness of (1.2), the authors in [11] appealed to the so-called boundary penalty method [2, 3], which employs a Robin boundary condition as a relaxation to approximate the Dirichlet-type boundary condition . A first analysis was performed for the regularized system
[TABLE]
where . We note that the variables and are coupled only through the Robin-type boundary condition and the term in the surface equation (1.3b). For (possibly nonlinear) relations with , via a two-level approximation the existence of strong solutions to (1.3) on is shown in [11]. Moreover, for the special case , there exists a positive constant independent of such that
[TABLE]
where is the unique strong solution to (1.3) and is the unique strong solution (1.2), with and . In particular, the transmission condition can be attained from the Robin relaxation (1.3) at a linear rate in . It is also worth mentioning that the Robin type relaxation boundary condition has its own interest and appears in many other contexts, see for instance, the weak anchoring boundary condition for a bulk nematic liquid crystal with an included oil droplet [28] as well as the coupled bulk–surface system for receptor-ligand dynamics in cell biology [15].
In this contribution, after establishing the global well-posedness to problem (1.3) (see Theorem 2.1), our aim is to study its long-time behaviour as . The first attempt was made in [11] that the authors gave a characterization on its -limit set. However, the structure of the -limit remains unclear. In particular, for any initial datum can the -limit set be just a singleton? This issue is nontrivial since the nonconvexity of bulk and surface potentials indicate that the set of steady states may have a rather complicated structure. Now writing , , with antiderivatives and such that and , for any , we reformulate (1.3) into our problem (1.1) (with zero external forces for the sake of simplicity). Then at least formally, we can deduce that it exhibits a Lyapunov structure that serves as a starting point of the analysis of long-time behavior:
[TABLE]
where denotes the surface gradient of certain function defined on . More precisely, assuming that the nonlinearities , and are real analytic, we prove that every global strong solution of problem (1.1) will converge to a single equilibrium as and moreover, we obtain a polynomial decay of the solution (See Theorem 2.2). The proof is based on the Łojasiewicz–Simon approach [36], which turns out to be an efficient method in the study of long-time behaviour of evolution equations with energy dissipation structure, see e.g., [6, 18, 19, 23, 26, 31, 40, 42] and the references cited therein. For the Allen–Cahn system (1.2) with Dirichlet transmission condition , zero forcing terms and analytic functions , , , , the convergence of its global solution to a single equilibrium as has been addressed in [37] (see also [41] when the surface diffusion term is neglected). With minor modifications, similar conclusion can be draw for the affine linear case . However, for our problem (1.1), in order to overcome mathematical difficulties due to the bulk–surface coupling structure as well as the nonlinear Robin relaxation boundary condition, we have to derive a new type of gradient inequality of Łojasiewicz–Simon type to achieve our goal (see Theorem 4.2). Besides, it seems that the solution regularities established in [11] are not sufficient for the study of long-time behaviour, partly as the previous estimates therein are not uniform with respect to the fixed terminal time , and partly due to the non-smooth maximal monotone graphs and . Hence, for problem (1.1), we first need to establish new uniform-in-time regularity estimates for global solutions with analytical nonlinearities , and .
We note that the Allen–Cahn equation serves as possibly the simplest example for phase field models. It will be interesting to perform corresponding analysis on the widely studied Cahn–Hilliard equation. While there are numerous contributions for the analysis of the Cahn–Hilliard equation with dynamic boundary conditions, amongst which we list the works [8, 10, 13, 17, 20, 21, 31, 32, 33, 35, 42], to the best of our knowledge, analysis of the Cahn–Hilliard system with general transmission relation between the bulk variable and the surface variable has not received much attention, neither has the corresponding relaxation with the Robin boundary condition. These will be the topics of our future study.
The remaining part of this paper is organized as follows. In Section 2, we introduce the functional settings and state the main results of this paper. In Section 3, we derive new regularity estimates and prove the global well-posedness of strong solutions to problem (1.1). In Section 4, we establish an extended Łojasiewicz–Simon inequality for our system with bulk–surface coupling structure. In Section 5, we prove the convergence to equilibrium along with an estimate for the convergence rate.
2 Main Results
Throughout this paper, for a (real) Banach space we denote by its norm, by its dual space, and by the dual pairing between and . The standard Lebesgue and Sobolev spaces in are denoted by and for and . Likewise, and denote the corresponding Lebesgue and Sobolev spaces on . In the case , we use the notation and . Let be an interval of and a Banach space, the function space , consists of -integrable functions with values in . Moreover, denotes the topological vector space of all bounded and continuous functions from to , while stands for the space of all functions such that , where denotes the vector valued distributional derivative of . For product function spaces, we shall make use of the notations
[TABLE]
with equivalent norms
[TABLE]
Throughout the paper, will stand for a generic constant and for a generic positive monotone increasing function. Special dependence will be pointed out in the text if necessary.
Next, let us state the assumptions we shall work with:
is a bounded domain with smooth boundary . 2.
The function is analytic with and satisfies for some positive constant , holding for all with some exponent . 3.
and are analytic functions and there exist positive constants such that
[TABLE]
with exponents and . 4.
The initial data satisfy with the compatibility condition holding a.e. on .
Now we state the main results of this paper.
Theorem 2.1** (Global well-posedness).**
Suppose that ()–() are satisfied. For any initial data satisfying (), problem (1.1) admits a unique global strong solution such that
[TABLE]
Moreover, for any , we have
[TABLE]
Theorem 2.2** (Long-time behaviour).**
Under assumptions ()–(), for any initial data satisfying (), the unique global strong solution to problem (1.1) converges to an equilibrium , which is a strong solution to the stationary problem
[TABLE]
such that
[TABLE]
where is a constant depending on and is a constant depending on , , and coefficients of the system, but is independent of .
3 Global Well-posedness
In this section, we prove Theorem 2.1. In view of [11], it remains to derive a series of uniform-in-time estimates that can be justified rigorously with the help of a Faedo–Galerkin approximation (using, in particular, the smoothness of the Galerkin coefficients with respect to the time variable due to the analytic nonlinearities to differentiate the equations in time, see [11, §5 and 6] for more details).
3.1 A priori estimates
First estimate. Testing (1.1a) with , (1.1c) with , and using (1.1b) yields the energy identity
[TABLE]
where
[TABLE]
It is clear from the continuous embedding and assumptions ()–() that is finite. This yields
[TABLE]
Then by the assumption (), it holds that
[TABLE]
Then, we obtain with the help of the Gagliardo–Nirenberg inequality and (3.3)–(3.4) that
[TABLE]
By a similar argument, we have for . Hence, combining with (3.3), we get
[TABLE]
Second estimate. As in [11], setting so that by assumptions () and () we have . Taking the time derivative of (1.1a) and testing with , followed by integrating in time, gives rise to
[TABLE]
where we have employed () and (). In light of the previous estimate (3.3) we infer
[TABLE]
In a similar fashion, we set so that holds by ()–(). Then, taking the time derivative of (1.1c) and testing the resulting equation with yields
[TABLE]
By the Gagliardo–Nirenburg inequality in two dimensions
[TABLE]
and on account of the boundedness of in from (3.3) and (), we find that
[TABLE]
and so, combining with (3.3), (3.6), we infer from (3.7) that
[TABLE]
As a consequence of (1.1b), (3.6) and (3.1), we can further deduce that
[TABLE]
Third estimate. From (3.3), (3.5), (3.1), () and (), we claim that
[TABLE]
Indeed, the assertion for comes from (3.1), while using (), () and the Sobolev embedding for any ,
[TABLE]
Hence, applying regularity theory to (1.1c) viewed as an elliptic equation for leads to
[TABLE]
and thus we arrive at
[TABLE]
Meanwhile, for the bulk variable , we aim to apply a similar argument to the elliptic problem (1.1a)–(1.1b). By the Lipschitz continuity of and (3.3), we first note that , and so together with we infer
[TABLE]
On the other hand, according to () we have
[TABLE]
For exponents , the Gagliardo–Nirenberg inequality in three dimensions
[TABLE]
leads to the estimate
[TABLE]
where we used fact that . Hence, together with (3.6), we infer from the elliptic regularity theory and Young’s inequality that
[TABLE]
for the case , which results in
[TABLE]
For exponents , the situation is easier such that the Sobolev embedding and the estimate (3.3) implies , leading immediately to the same regularity assertion (3.12).
Fourth estimate. Employing (), the Sobolev embedding for any and (3.3),
[TABLE]
while using (1.1b), the Lipschitz continuity of , (3.3) and (3.12),
[TABLE]
Then taking the time derivative of the surface equation (1.1c), and testing the resultant with yields
[TABLE]
where we have used the estimates (3.11) and (3.12). Integrating (3.13) in from [math] to some , then dividing the resulting inequality by and employing (3.6) and (3.1), we have
[TABLE]
Similarly, taking the time derivative of (1.1a)–(1.1b) and testing the resultant with , after integrating from [math] to , we obtain
[TABLE]
From (3.6) the first integral on the right-hand side of (3.15) is uniformly bounded in . Meanwhile, we infer from (3.12) and the Sobolev embedding theorem that is uniformly for , and by the continuity of this further implies that is also uniformly bounded in time. Hence,
[TABLE]
For the surface integral, we perform an integration by parts and get
[TABLE]
Then, dividing (3.15) by and employing the above estimates lead to
[TABLE]
by virtue of (3.6), (3.1) and (3.1). The above estimate, together with (3.1), leads to
[TABLE]
Fifth estimate. Next, we check that for all , it holds
[TABLE]
where the second last inequality comes from the trace theorem and the continuous embedding . Then, together with (3.16) and the elliptic regularity theory for we deduce that
[TABLE]
where the constant is independent of but it will tends to as . In a similar fashion, we use () to deduce that , and the trace theorem to conclude that . Then, the relation (1.1b) yields
[TABLE]
Moreover, according to () and (3.12), we see that
[TABLE]
Then, the elliptic regularity theory, (3.12) and (3.16) imply that
[TABLE]
3.2 Proof of Theorem 2.1
Based on the estimates (3.3), (3.5), (3.6), (3.1), (3.11), (3.12), (3.16), (3.1), (3.1), the existence of a global strong solution to problem (1.1) with required regularities can be proved in a standard manner, using a similar Galerkin approximation scheme devised in [11]. Moreover, using (3.6), (3.1), (3.11), (3.12), (3.16), the elliptic regularity theorem for , we can show that for arbitrary , . Then by the continuous embedding (see e.g., [29, Chapter 1, Theorem 3.1]) and is arbitrary, we have . Next, by the same energy method as in [11, §4] and some minor modifications due to assumption (), we are able to derive a continuous dependence result on initial data. More precisely, let and denote two strong solutions to problem (1.1) corresponding to initial data and , respectively, it holds
[TABLE]
for some positive constant depending on the initial data, , , but not on , and . Then the uniqueness of strong solutions easily follows.
The proof of Theorem 2.1 is complete.
4 Extended Łojasiewicz–Simon Inequality
In this section, our aim is to establish an extended Łojasiewicz–Simon inequality, which plays a crucial role in the study of long-time behaviour for the bulk–surface coupled Allen–Cahn system (1.1).
From assumptions ()–(), it is straightforward to verify that the energy functional is continuously Fréchet differentiable on . For any , we define by
[TABLE]
We say that is a critical point of if . Consider the stationary problem
[TABLE]
Then we prove the following result that gives the equivalence between the critical points of and the solutions of problem (4.2).
Proposition 4.1**.**
If is a strong solution to the stationary problem (4.2), then is a critical point to the functional , i.e., as an equality in . Conversely, if is a critical point to the functional , then is a strong solution to the stationary problem (4.2).
Proof.
If satisfies the stationary problem, then for any we have
[TABLE]
Integrating by parts and applying the Robin boundary condition (4.2b) for yields
[TABLE]
Hence, is a critical point of .
Conversely, if is a critical point of , then is a weak solution to the stationary problem (4.2). Substituting in (4.3) yields the weak formulation of the elliptic equation
[TABLE]
Using (), the trace theorem , the growth assumption () for and the Sobolev embedding for any , we find that the right-hand side is bounded in . Then, the elliptic regularity theory yields that is bounded in , and by () one can see that . Then, substituting in (4.3) yields the weak formulation of the elliptic problem
[TABLE]
where from the above discussion it holds that . By () and the embedding we see that for exponents ,
[TABLE]
and so . By the elliptic regularity theory we obtain . For exponents , we follow a similar argument as in the derivation of (3.12) to deduce that . Therefore, is a strong solution to the stationary problem (4.2).
The proof is complete. ∎
Now we state the main result of this section.
Theorem 4.2** (Extended Łojasiewicz–Simon inequality).**
Suppose that ()–() are satisfied. Let be a critical point of the energy functional defined by (3.2). There exist constants and depending on , such that for any satisfying , we have
[TABLE]
The proof of Theorem 4.2 is based along the procedure in [23], see in particular [37] for the modified argument that is valid for nonlinear dynamic boundary conditions. However, in our current case, some new difficulties due to the bulk–surface coupling and the nonlinear Robin type boundary condition have to be handled.
For any critical points (cf. Proposition 4.1) of , we consider perturbation functions and write
[TABLE]
We also set
[TABLE]
so that from the definition of a critical point of , we have . Keeping the above notations in mind, it remains to prove that: for a given critical point of , there exist constants and depending on , such that for any satisfying , it holds
[TABLE]
The proof of Theorem 4.2 consists of several steps.
Step 1: Analysis of a certain linear operator.
We define the strictly positive, self-adjoint and unbounded operator from to . Then, standard spectral theory yields the existence of a complete orthonormal basis in , along with an ordered sequence of eigenvalues satisfying as , such that for all ,
[TABLE]
Next, following [11, §5], we define the Hilbert space and associated inner product:
[TABLE]
for and . Then, it is shown that the abstract operator defined by
[TABLE]
is strictly positive, self-adjoint, coercive on with compact inverse. Hence, by standard spectral theory there exists an ordered sequence of eigenvalues satisfying as , and a corresponding sequence of eigenfunctions that forms an orthonormal basis in satisfying
[TABLE]
such that
[TABLE]
Equivalently, for any , it holds that
[TABLE]
For , we introduce the finite-dimensional subspaces
[TABLE]
with the associated orthogonal projection in onto . For , we use the notation and to denote the first and second components of , respectively. Then, for , consider the operator defined as
[TABLE]
By the orthonormality of in and in , as well as the property (4.6), we have the following result.
Lemma 4.3**.**
For any , it holds that
[TABLE]
Proof.
Denoting by and the coefficients such that
[TABLE]
then, after integrating by parts, we obtain
[TABLE]
once we employ the ordering of the eigenvalues and . The assertion for is proved similarly with the observations , , and
[TABLE]
and so we omit the details. ∎
By the generalized Poincaré inequality, it follows that
[TABLE]
for some positive constants depending only on and . Let
[TABLE]
then it holds that
[TABLE]
Therefore, we arrive at
[TABLE]
For fixed in , and arbitrary , we consider the following linearized operator defined as
[TABLE]
Due to assumptions ()–(), we see from (4) that is well-defined. Besides, one observes that the domain of is and it is clear that is self-adjoint. Associated to is the bilinear form
[TABLE]
which satisfies
[TABLE]
Using the inequality
[TABLE]
and the definition of the operator from (4.7), we see that
[TABLE]
for some positive constant depending only on the norm of , , and . Since the eigenvalues satisfy , as , we can choose sufficiently large so that
[TABLE]
Then we can prove the following result:
Lemma 4.4**.**
Fix such that (4.9) is valid. For any , there exists a unique solution to the abstract equation
[TABLE]
Furthermore, it holds that
[TABLE]
Proof.
Thanks to (4.9), we can deduce that
[TABLE]
From (4.11), the operator is coercive on . Furthermore, it is clear that is bounded on , and so the unique solvability of (4.10) follows directly from the Lax–Milgram theorem. Moreover, from the coercivity of , we obtain
[TABLE]
leading to the -stability estimate
[TABLE]
For regularity in , we observe that is a weak solution to the linear system
[TABLE]
Applying elliptic regularity for the third equation (4.12c) yields
[TABLE]
Then, the regularity for and imply that , and so by elliptic regularity for the system (4.12a)–(4.12b), we obtain
[TABLE]
The proof is complete. ∎
Step 2. Analysis of a certain nonlinear operator.
For sufficiently large chosen in Step 1, we set . For any , consider the nonlinear operator defined as
[TABLE]
Besides, for given , we define the linear operator as
[TABLE]
where is given in (4). Then we have
Lemma 4.5**.**
For any , the operator is Fréchet differentiable with derivative , i.e.,
[TABLE]
Proof.
For arbitrary , we compute that
[TABLE]
By the Newton–Leibniz formula
[TABLE]
and the growth assumption () for , we obtain
[TABLE]
Arguing similarly for the other terms with assumptions () and () in mind, we have
[TABLE]
and hence
[TABLE]
which implies the desired assertion. ∎
We can deduce from the analyticity of , and that the mappings
[TABLE]
are analytic (in the sense of [23, Definition 2.4]). Then, by the embedding , it follows that the restricted operator is also analytic. Furthermore, since is a bijection by Lemma 4.4, we can invoke the analytic implicit function theorem (see for example [43, Corollary 4.37, p. 172]) to deduce the existence of small neighbourhoods around the origins, and , as well as an analytic and bijective inverse such that
[TABLE]
and
[TABLE]
On the other hand, since is a bijection, by the classical local inversion theorem (see for example [43, Theorem 4.F, p. 172]), the operator is a -diffeomorphism near . This assures the existence of neighbourhoods and such that
[TABLE]
In particular, in the intersection we have the identification .
Step 3. Derivation of the Łojasiewicz–Simon inequality.
We now define a function by
[TABLE]
where and are the basis functions introduced in Step 1, and is the index such that (4.11) holds. For and sufficiently small, it holds that
[TABLE]
over which the mapping is analytic. Together with the analyticity of , we infer that is analytic with respect to and . Then, applying the classical Łojasiewicz inequality (see for instance [23, Proposition 2.3]) there exists and such that for all with , it holds
[TABLE]
Next, we consider perturbations satisfying
[TABLE]
for some vectors , where we recall with defined in (4.9) and is the orthogonal projection from to the product finite-dimensional subspace spanned by the first eigenfunctions in and . Then, from the relation we obtain that
[TABLE]
once we recall the Fréchet derivative of is the operator defined in (4.14). Hence, for the gradient appearing on the left-hand side of the Łojasiewicz inequality (4.19), with a short calculation we obtain
[TABLE]
where for , the pair satisfies
[TABLE]
and are the bulk and surface components of , respectively. In particular, and both belong to , and so the right-hand sides of (4.20a) and (4.20b) are well-defined. From the analyticity of , and the fact that , we have
[TABLE]
and so from (4.20a) and (4.20b) we obtain
[TABLE]
Recalling the definition (4.13), we infer that . Then, by invoking the estimates (4.17a) and (4.17b), we arrive at
[TABLE]
Combining (4.21) and (4.22) leads to
[TABLE]
Meanwhile, for the left-hand side of (4.19) we observe that
[TABLE]
and so from (4.19) and (4.23) we infer that
[TABLE]
Hence, to obtain the desired inequality (4.5) it suffices to control the second term on the right-hand side of (4.24). Employing the Newton–Leibniz formula, we have
[TABLE]
Employing a similar argument to the derivation of (4.22), we see that
[TABLE]
and
[TABLE]
Hence, we get
[TABLE]
and from (4.24) this leads to
[TABLE]
Since and , we can find a positive constant such that for ,
[TABLE]
which implies that
[TABLE]
Let be an exponent and be a positive constant such that
[TABLE]
Then, for , we have
[TABLE]
which is exactly (4.5).
The proof of Theorem 4.2 is complete.
5 Long-time Behaviour
First, we deduce the following result on the decay of time derivatives :
Proposition 5.1**.**
Let be the global strong solution to problem (1.1). It holds that
[TABLE]
Proof.
We take the time derivative of (1.1a) and test with , leading to
[TABLE]
Similarly, taking the time derivative of (1.1c) and testing with leads to
[TABLE]
Adding these two inequalities yields
[TABLE]
where we employed the Gagliardo–Nirenburg inequality (3.8) and Young’s inequality. Choosing sufficiently small, we arrive at
[TABLE]
Invoking [44, Lemma 6.2.1] and using the fact that (recall (3.3)), we deduce the desired assertion. ∎
Next, thanks to Theorem 2.1, for any initial data satisfying (), the unique global solution to problem (1.1) allows us to define the -limit set as
[TABLE]
Then by Theorem 2.1 and the Lyapunov structure (1) of problem (1.1), it is standard to conclude the following result:
Lemma 5.2**.**
Under assumptions ()–(), for any satisfying (), the set is a non-empty compact subset in . Furthermore, consists of critical points of the energy functional , which is constant on .
In the remaining part of this section, we prove Theorem 2.2, namely, the set is indeed a singleton and moreover, an estimate on the convergence rate can be obtained.
5.1 Convergence to equilibrium
By definition of and Lemma 5.2, there exists an element and a sequence such that
[TABLE]
Then we prove
[TABLE]
Case 1.
Suppose there is a such that . Then, by the non-increasing property of with respect to , it holds that for all . In particular, by the energy identity (3.1) it holds that
[TABLE]
and so is independent of time after . Employing this fact together with (5.3) leads to the desired convergence (5.4).
Case 2.
Suppose that for all . For strong solution to problem (1.1) we obtain from (4.1) that
[TABLE]
Let be the constant in Theorem 4.2 associated with . For any , if the strong solution satisfies , then we deduce from Theorem 4.2 that
[TABLE]
Using the above fact and the basic energy law (1), one can argue in the exact same manner as in [26] (see also [37, Section 4.1]) to conclude that there exists a such that for all , , and then (5.5) holds for all . As a consequence,
[TABLE]
where we have used the easy fact . Therefore,
[TABLE]
for . Integrating with respect to time yields that
[TABLE]
which together with (5.3) implies that converges to in as . Thanks to the fact that , then by compactness we can deduce the convergence (5.4).
5.2 Convergence rates
In the second step, we derive estimates on the rate of convergence.
Estimates in .
The above analysis asserts that for the solution enters a neighbourhood of a particular equilibrium and remains there, namely (5.5) holds. Hence, from (1) we obtain for
[TABLE]
which yields (see [24, Lemma 2.6])
[TABLE]
Then, we infer from (5.6) that
[TABLE]
Together with the uniform estimate of , we can conclude
[TABLE]
Estimates in .
The higher-order estimate turns out to be more involved. Let , with
[TABLE]
Then, subtracting the stationary problem (4.2) from the evolution equations (1.1) yields
[TABLE]
Testing (5.9a) with and (5.9c) with leads to after summing
[TABLE]
From the fact we see
[TABLE]
and so, testing (5.9a) with and (5.9c) with leads to after summing
[TABLE]
Let
[TABLE]
so that upon adding (5.10) and (5.11) we have
[TABLE]
Since , , then, by the fundamental theorem of calculus we infer
[TABLE]
and in a similar fashion,
[TABLE]
Then we have
[TABLE]
Moreover, by () and the fact that , we obtain
[TABLE]
and for some
[TABLE]
Substituting these into (5.13) yields
[TABLE]
Recalling the estimate (5), which reads in our present setting as
[TABLE]
for some positive constant . Choose a constant such that , then multiplying (5.16) with a constant and adding the result to (5.15) leads to
[TABLE]
By choosing such that , where is the constant from the trace theorem, we can absorb the term on the right-hand side by the term on the left-hand side, which leads to
[TABLE]
Meanwhile, we observe by the Newton–Leibniz formula and the fact that
[TABLE]
and a similar estimate holds for the term involving . So, from the definition (5.12) of we infer that
[TABLE]
On the other hand, we also have
[TABLE]
Substituting (5.8), (5.19) into (5.17), there exists a constant such that
[TABLE]
where . As a result, we can deduce that (cf. [40])
[TABLE]
so that by (5.19) we obtain
[TABLE]
Estimates in .
To deduce the convergence rate in the -norm, we apply elliptic regularity estimates for the system (5.9), whilst employing (), (5.14) and (5.21) to obtain
[TABLE]
The proof of Theorem 2.2 is complete.
Acknowledgements
K.F. Lam expresses his gratitude to School of Mathematical Sciences at Fudan University for the hospitality during his visit in which part of this research was completed, and gratefully acknowledges the support from a Direct Grant of CUHK (project 4053288). H. Wu is partially supported by NNSFC grant No. 11631011 and the Shanghai Center for Mathematical Sciences at Fudan University.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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