1. Introduction
We study the longtime behavior of the following two-dimensional Navier–Stokes equation of fractional order with variable delay on a bounded domain
,
where
is a fractional derivative of order
,
,
is a bounded open set with regular boundary
,
is the kinematic viscosity,
u is the velocity field of the fluid,
p is the pressure,
is the initial datum,
is a constant,
f is an external force field without delay, and
g is the external force containing some functional delay. We will refer to (
1)–(
4) as problem
.
In fact, hereditary characteristics are ubiquitous in engineering, biology and physics. For example, feedback control problem, immune systems, soft matter with viscoelasticity [
1] could all have hereditary properties (including memory, variable delay or distributed delay, constant delay, etc). The delay term is very often denoted by a function
defined on some interval
(here
h could be
). The memory effect is modeled by using fractional calculus, which actually has been widely applied in many sciences [
2,
3,
4,
5]. We would like to mention that the concept of fractional calculus was raised by L’Hospital, who wrote to Leibniz in the year 1695, seeking the meaning of
when
. However, it only became popular in practical applications in the past few decades. Several kinds of definitions of fractional derivatives have been introduced [
2], but maybe the most commonly used nowadays are the so-called Riemann–Liouville derivative and Caputo derivative. More definitions for Riemann–Liouville and Caputo derivative can be found in [
3,
6,
7].
It is worth pointing out that using a convolution group, Li and Liu [
8] introduced a generalized definition of Caputo derivative of order
, and built a convenient framework for studying initial value problems of time fractional differential equations. Compared with Riemann–Liouville derivative, the Caputo derivative defined in [
8] removes the singularity at
and characterizes memory from
. It is probably this character that makes the Caputo derivative share many similarities with the corresponding ordinary derivative and then more manageable for Cauchy problems. In this work, we use the Caputo derivative introduced in [
8] to investigate the fractional dynamic system (
1).
On the other hand, there are many results about time-fractional Navier–Stokes equations, which can be used to simulate anomalous diffusion in fractal media. For instance, applying Laplace and finite Hankel transforms, Chaurasia and Kumar [
9] obtained the solution of a time-fractional Navier–Stokes equation. In [
10], Zhou and Peng studied the mild solutions of Navier–Stokes equations with a time-fractional derivative, meanwhile Nieto and Planas [
11] investigated the existence and uniqueness of mild solutions to the Navier–Stokes equations with time fractional differential operators, and obtained several interesting properties about the solution, such as regularity and decay rate in Lebesgue spaces. Nevertheless, most of the available works including the mentioned ones did not take into account the delay in the external forcing term, and are concerned mainly with the existence of solution/mild solution or the regularity. There is no result on the limit behavior of solutions, even less work about fractional Navier–Stokes equations with delay, such as the existence of weak solution and asymptotical behavior of solutions. Actually, for general fractional PDEs, this discussion is limited due to the lack of tools although some special cases have been studied [
12,
13,
14].
The traditional method used to study solutions of classic nonlinear PDEs is to find some “a priori”’ estimates of approximate solutions, then to apply some compactness criteria—i.e., the Arzelà-Ascoli theorem, etc. However, this method seems not to work for fractional PDEs with variable delay. Because of the appearance of variable delay term, the generalized fractional Gronwall inequality [
15] (Theorem 1) is not enough to find some “a priori” estimates of Lyapunov functions. Even though Ye and Gao [
16] obtained the Henry-Gronwall type retarded integral inequalities, this only works for fractional differential equations with constant delay but not for variable delay. Fortunately, Li and Liu [
17] (Theorem 4.1–4.2), generalized the classic Aubin–Lions lemma and some convergence theorem to the fractional case, respectively. To our purpose, we first improve [
17] (Proposition 3.5) and [
8] (Theorem 4.10). Then, under the condition that
, we investigate the solutions of our system by combing the Galerkin approximation and the generalized Aubin–Lions lemma as well as the Bellman–Gronwall Lemma.
We would like to mention that Wen, Yu and Wang [
18] analyzed the dissipativity of Volterra functional differential equations by using the generalized Halanay inequalities, while Wang and Zou [
19] studied the dissipativity and contractivity analysis for fractional functional differential equations and their numerical approximations via a fractional Halanay inequality. However, to analyze the dissipativity of fractional PDEs with variable delay, the fractional Halanay inequality [
19] alone is not enough any more, in fact, it cannot be applied directly for our case, either. We modify the fractional Halanay inequality [
19] (Lemma 4) to a more general case, and then improve the comparison principle [
20] (Lemma 3.4) and combine the fractional Halanay inequality to overcome this difficulty.
Motivated by [
19], we study the long time behavior of fractional Navier–Stokes equations with variable delay. More precisely, we first prove the existence and uniqueness of weak solutions by Galerkin approximation, and then analyze the dissipativity of system
, namely, we obtain the existence of an absorbing set by fractional Halanay inequalities and generalized comparison principle. We would like to mention that similar results about the classic model of problem
can be found in [
21].
The organization of this work is as follows. In the next Section, we recall some basic concepts about fractional calculus, and present some auxiliary lemmas which will be useful in later study. In
Section 3, we focus on the existence and uniqueness of weak solutions, and the dissipativity of the fractional dynamic system
is shown in
Section 4. Throughout the work,
C,
c are positive constants, which can be different from line to line, even in the same line.
2. Preliminaries
In this Section, we first recollect the generalize definitions of fractional calculus to functions valued in general Banach spaces as studied in [
8,
17]. Then we prefer to recall some notations and abstract spaces for the sake of completeness and to make the reading of the paper easier, although the notations and results included in this section may seem somehow repetitive, since they can be found in several already published monographs or articles [
22,
23,
24]. Besides, two examples of delay are presented and some lemmas, propositions that will be used in our later discussion are stated.
Now, we start with the definition of fractional integral, readers are referred to [
2,
3,
8] for more details.
Definition 1. ([3,17]) The fractional Riemann–Liouville integral of order for a function locally integrable is defined bywhere is the classical Gamma function. Definition 2. ([8]) Let X be a Banach space. For a locally integrable function , if there exists such thatthen is called the right limit of u at , denote as . Similarly, we define to be the left limit of u at —i.e., such that As pointed out in [
8], this fractional integral can be expressed as the convolution between the kernel
and
on
, where
is the standard Heaviside step function. By this fact, it is not difficult to verify that the integral operators
form a semigroup, and
is a bounded linear operator from
to
. Inspired by [
25] (
Section 5, Chapter 1), Li and Liu [
8] proposed a generalized definition of Caputo derivative. The new definition is consistent with various definitions in the literature while revealing the underlying group structure. The underlying group property makes many properties of the Caputo derivative natural.
Before introducing this generalized Caputo derivative, we need to use the distributions
as the convolution kernels for
:
where
is the usual Dirac distribution, and
D means the distributional derivative. As in [
8], the fractional integral operator
can be expressed as
Given
, we define the convolution between
f and
g as
Now, we introduce the generalized Caputo derivative as
Definition 3. ([8]) Let . Suppose that has a right limit at in the sense of Definition 2. The Caputo derivative of fractional order α of u is a distribution in with support in , given by The right fractional Caputo derivative is defined as
Definition 4. ([17]) Let . Consider that has a left limit at in the sense of Definition 2. The right Caputo derivative fractional order α of u is a distribution in with support in , given by To introduce the Caputo derivatives for functions valued in general Banach spaces, for fix
, we present the following sets:
which is analogous of the distribution
used in [
17]. We would like to point out that
can be understood as the generalization of distribution. In fact, if
, then it is reduced to the usual distribution as in [
17].
The weak fractional Caputo derivative of the functions valued in Banach spaces is given by
Definition 5. ([17]) Let X be a Banach space and . Let . We define the weak Caputo derivative of fractional order α of u associated with initial value to be such that for any test function , Next, let us consider the following usual abstract spaces:
the closure of
in
with norm
, and inner product
, where for
,
the closure of
in
with norm
, and inner product
, where for
,
It follows that
, where the injections are dense and compact. We will use
for the norm in
, and
for the duality pairing between
V and
. Now we define
by
, and the trilinear form
B on
by
Note that the trilinear form
B satisfies the following inequalities which will be used later in proofs (see [
23] (p. 2015)).
The phase space used in this paper is defined as
with the norm
where
is a function defined on
—i.e.,
,
.
We now enumerate the assumptions on the delay term g. For , we assume:
- (g1)
For any , the mapping is measurable.
- (g2)
.
- (g3)
There exists
such that, for any
and all
,
Remark 1. (i) As pointed out in [23], condition is not a restriction. Indeed, if , we could redefine and . In this way the problem is exactly the same, and satisfy the required assumptions. (ii) Conditions and imply thatwhence . Example 1. A forcing term with bounded variable delay. Let be a measurable function satisfying for all , and assume that there exists such that Consider a function , which plays the role of the variable delay. Assume that is measurable and define for each , and . Notice that, in this case, the delayed term g in our problem becomes Example 2. A forcing term with finite distributed delay. Let be a measurable function satisfying for all , and there exists a function such that Define for each , , and . Then, the delayed term g in our problem becomes After introducing the above operators, an equivalent abstract formulation to problem
is
The definition of weak solution to problem (
6) and (
7) is defined as
Definition 6. ([17]) Given an initial datum , a weak solution u to (6) and (7) in the interval is a function with such that, for all ,where the equation must be understood in the sense of distribution. The following auxiliary Lemmas will be needed in this work.
Lemma 1. (See [17,26]) For any function absolutely continuous on , one has the inequality The following result is a generalization of the Aubin–Lions Lemma [
27].
Lemma 2. ([17] (Theorem 4.2)) Let , and . Let be Banach spaces. The inclusion compact and the inclusion continuous. Suppose satisfies: - (i)
There exists and such that , - (ii)
There exists , such that, W is bounded in .
- (iii)
There exists , such that for any with right limit at , it holds that Then, W is relatively compact in
Proposition 1. (An improvement in [17] (Proposition 3.5)) Suppose Y is a reflexive Banach space, and . Assume the sequence converges to u in , If there is an assignment of initial values for such that the weak Caputo derivatives are bounded in , then - (i)
There is a subsequence such that converges weakly to some value
- (ii)
If there exists a subsequence such that converges weakly to v and converges weakly to . Moreover, v is the Caputo derivative of u with initial value so that Further, if , then, in Y is the sense of Definition 2.
Proof. We would like to mention that this Proposition is just a slightly improvement of [
17] (Proposition 3.5), in which, the final conclusion—i.e.,
in
Y—holds true for
. However, this conclusion holds for
.
So, we just need to prove that for
, if
, then
in
Y under the sense of Definition 2. By a similar argument in [
17] (Corollary 2.16) and Young’s inequality with the conjugate index
,
, we find
Since is integrable on for some . The proof is finished immediately. □
Remark 2. Li and Liu in [17] (Theorem 5.2) proved the existence of weak solution for a time fractional incompresible Navier–Stokes equation for , because is obtained under this condition. However, by using this Proposition 1, we also can prove for . Therefore, the existence result of [17] (Theorem 5.2) still holds for . In this extent, we say that Proposition 1 improves [17] (Proposition 3.5). Proposition 2. (Modified Fractional Halanay Inequality) Assume that the non-negative continuous function v satisfieswhere γ is a positive constant and , , and the delay function . If , then the following estimates holdswhere , and the parameter is defined byand it holds that . Further, if the delay is bounded—i.e., for some constant —then the parameter defined byis strictly negative, namely, there exists some positive constants satisfying such that , and the estimate in (9) holds for all t such that Proof. Actually, Proposition 2 is a slightly modification of [
19] (Lemma 4), in which
strictly for the first conclusion (
9). However, in our case, (
9) holds true for
. So, we only need to prove (
9) is true when
. We prove this by comparison principle.
If
, then the original system (
8) becomes.
where
is a positive constant and
.
From system (
8), there exists a nonnegative function
satisfying
According to [
2] (Theorem 4.3), the initial value problem (
8) has a unique solution that can be represented by
where we used that
and
are nonnegative and
, as well as the fact that
is non-decreasing respect to
. The proof is complete. □
Remark 3. It turns out that the modified fractional Halanay inequality holds true not only for delay fractional dynamical system but also for the nondelay case, which means that it could be applied to more fractional differential equations. In this sense, we say it improves [19] (Lemma 4). Proposition 3. (The generalized comparison principle.) Assume that for any function u and w are absolutely continuous on , one has the inequalityand the following fractional differential equationwhere are positive constants. Then it holds that Proof. Obviously, (
12) holds true for any
. Hence, we only need to verify that (
12) is correct for
. We will prove this through two steps.
Step 1. We first prove that (
12) holds for
. By contradiction, if it is not true, then there exists some
such that
. Denote
by
Now, set
. Then we know from the definition that
, and
for
. Then by the fractional comparison principle in [
19] (Lemma 3), we have that
However,
which contradicts (
13); therefore,
for
.
Step 2. On the other hand, when
, then
, since
. So (14) and (15) can be rewritten as, respectively,
and the following fractional differential equation
Then there is a nonnegative function
, such that
Then, by [
28] (Theorem 1), system (
16) has a unique solution on
that can be represented as
Similarly, the solution of system (15) can be written as
Notice that and are non-negative for , then we have for all . In summary, for all
Therefore the proof is complete. □
Remark 4. We would like to point out that Proposition 3 generalizes the conclusion in [8] (Theorem 4.10) to some extent. Proposition 3 also improves the comparison principle in [20] (Lemma 3.4), which is proven only for constant delay—i.e., . However, in our case, the delay term is a function taking values in . In this way, we could say that Lemma 3.4 of [20] is a special case of Proposition 3. Lemma 3. (Bellman–Gronwall Lemma [29] (p. 252)) Let , and a.e., , be positive constants. If , a.e., satisfying andthen Remark 5. Actually, the positive constants , can be replaced by functions or , but a similar result can be obtained—readers are referred to [29] (p. 252) for more information.