Abstract
In this paper, we considered a fractional chemotaxis fluid system with matrix-valued sensitivities and attractive–repulsive signals on a two-dimensional periodic torus . This model describes the interaction between a type of cell that proliferates following a logistic law, and the diffusion of cells is fractional Laplace diffusion. The cells and attractive–repulsive signals are transported by a viscous incompressible fluid under the influence of a force due to the aggregation of cells. We proved the existence and uniqueness of the global classical solution on the matrix-valued sensitivities, and the initial data satisfied the regular conditions. Moreover, by using energy functionals, the stabilization of global bounded solutions of the system was proven.
1. Introduction
We investigated a fractional chemotaxis fluid system with matrix-valued sensitivities and attractive–repulsive signals on a two-dimensional periodic torus in the present paper. This model describes the interaction between a type of cell that can proliferate following a logistic law, and the diffusion of cells is fractional Laplace diffusion. The cells and attractive–repulsive signals are transported by a viscous incompressible fluid under the influence of a force due to the aggregation of cells, where the attractive signal and the repulsive signal are produced by the cells themselves and also degrade at a constant rate. This model is represented by the following system:
is the cell density; , , P, and represent the chemical concentrations of the attractant and repellent, the hydrostatic pressure, and the velocity field of the fluid, respectively. and are matrix-valued sensitivities functions, and we imposed the conditions:
and
for some positive constants . and are the gravitational potential function and the external force, respectively, which satisfy
as well as the initial data:
Here, we write and define
where represents the usual Fourier transform, and the differential operator has the following kernel representation:
where is a normalization constant. The notation P.V. means that the integral is taken in the Cauchy principle value sense (see, for example, []). The positive constants , , , and denote the production of the chemoattractant and chemorepellent, the chemoattractant’s decay, and the chemorepellent’s decay, respectively. The logistic source describes the local dynamics of the mobile species, where is the intrinsic growth rate of cells and is the intraspecific competition of cells.
Next, we discuss the inspirations and developments of Problem (1) and, finally, list the main results.
1.1. The Classical Chemotaxis System with Attractive–Repulsive Signals
Chemotaxis refers to the movement of cells towards the concentration gradient of chemicals in a certain environment. The the movement of cells in the direction of the increasing concentration of a signal is called chemotactic attraction, whereas chemotactic repulsion means that cells move along the decreasing concentration of a cue [,,,]. These results have led some authors to consider the following attraction–repulsion chemotaxis model with a logistic source:
under homogeneous Neumann boundary conditions in a smooth bounded domain . If and , Li et al. [,] proved the existence of a unique global classical solution for (6) in bounded domains of , . If , , , , and . Li et al. [] showed that (6) possesses a unique global bounded classical solution under the conditions and . Moreover, whenever and for any , the solution of the system approaches the steady state in the norm of as . Furthermore, for , Zheng, Mu, and Hu [] proved that the system admits a unique global bounded classical solution provided that with , , and and there exists such that . More recently, the research results of Shi, Liu, and Jin [] implied that, when repulsion cancels attraction (i.e., ), the logistic source plays an important role in the solution behavior of (6).
1.2. The Classical Chemotaxis (Navier) Stokes System with Matrix-Valued Sensitivities
More recent observations have shown that chemotactic migration does not necessarily follow the gradient of the direction of a chemical substance, but may involve rotating flux components. This requires the sensitivity function to be a matrix possibly containing nontrivial off-diagonal entries []. Adjusting the classical model accordingly, some scientists shall subsequently consider the chemotaxis (Navier) Stokes system involving matrix-valued sensitivities:
Next, we briefly introduce some previous results for (7) in the literature. For the case : if and , Cao [] asserted that the above problem possesses a global classical solution, which is bounded and converges to the constant steady state , for which and are sufficiently small. If of (7) is replaced by and , Cao and Lankeit [] showed that (7) has a global classical solution if the initial data satisfy certain smallness conditions and give decay properties of these solution. By applying the results of [], Cao [] proved that, under a mild assumption with some non-decreasing function , the chemotaxis (Navier) Stokes system has a global classical solution under a smallness assumption on , and moreover, they obtained the boundedness and large time convergence for the solution. For the case : if and , when and , Wang and Xiang [] established the existence of a global bounded classical solution for arbitrarily large initial data. Moreover, Wang et al. [] extended the result of [] to the chemotaxis Navier–Stokes model with . When , Wang and Xiang [] developed a method to establish the existence and boundedness of a global classical solution of (7) under the assumption and . Meanwhile, for and , Wang [] defined a weak solution, which requires the solution to satisfy very mild regularity hypotheses only, and they obtained that (7) has a global weak solution. Furthermore, if and , Liu and Wang [] proved that (7) admits at least one global weak solution. Recently, Ke and Zheng [] improved the above results, and they optimized the parametric conditions that and . If , , and are replaced by , Yi et al. [] considered an attraction–repulsion chemotaxis model with matrix-valued sensitivities, for and , and they proved that, under the conditions and , the corresponding initial boundary value problem possessed at least one global bounded weak solution. For more results about matrix-valued sensitivities, interested readers can refer to [,,,,,,,] for more details.
1.3. The Fractional Chemotaxis System
By recent research, we know that, in nature, the behavior of many organisms can no longer be accurately described by classical chemotactic models. The research results of Garfinkel et al. [] showed that mesenchymal cells move due to the attraction of certain chemicals, which does not fit the classical chemotaxis model. Therefore, Escudero [] improved the classical chemotaxis model by replacing the classical Laplace diffusion with the fractional Laplace diffusion. Since then, scientists began to use fractional operators to describe the diffusion of cells. In recent years, fractional chemotaxis models have been studied extensively by scientists. Among them, it is worth noting that Burczak and Granero-Belinchón [,,,,,] conducted a series of studies on the fractional chemotaxis system on the periodic torus . The readers can refer to [,,,,,,,] and the references therein for more details.
To the best of our knowledge, there are few studies on fractional chemotaxis Navier–Stokes models. In 2019, Zhu et al. [] dealt with a fractional chemotaxis fluid model in . They obtained the existence, uniqueness, and asymptotic stability of a global solution without a logistic source and with small initial data. Jiang et al. [] investigated a fractional double-chemotaxis model under the effect of the Navier–Stokes fluid in , . They developed a framework for a unified treatment of the existence, uniqueness, and decay estimates of the global mild solution to this problem under the assumption that the initial data were small enough. Nie and Zheng [] obtained the global-in-time existence and uniqueness of a weak solution to the equations for a class of large initial data of two-dimensional incompressible chemotaxis Navier–Stokes equations with the lower fractional diffusion. Recently, Lei et al. [] investigated the following fractional chemotaxis fluid system with a logistic source:
on a three-dimensional periodic torus . They investigated the global existence of weak solutions of (8) in the case of a weaker diffusion, and after some waiting time, the weak solutions in fact become smooth and converge to the semi-trivial steady state .
Inspired by [,], we investigated a fractional chemotaxis Navier–Stokes system with matrix-valued sensitivities and attractive–repulsive signals on a two-dimensional periodic torus in the present paper. Compared with [], we considered an attraction–repulsion chemotaxis phenomenon, where the attractive–repulsive signals are produced by the cells themselves and degrade at a constant rate. Since the periodic torus is a region without boundary, in comparison with [,], we did not need to consider the nonlinear boundary problem arising from the matrix-valued sensitivities and . In addition, inspired by [], some estimates of the solution can also be obtained, which plays a crucial role in proving the global existence of the solution by using the semigroup method. It is worth noting that, in comparison with [,], because of the existence of fractional diffusion term, when proving the boundedness of , the fractional diffusion term cannot directly control the chemotaxis terms and . Therefore, we used Lemma 4 for to handle the fractional diffusion term. Moreover, since and are matrix-valued sensitivity functions, we needed to deal with the chemotaxis terms by Parseval’s identity and Kato–Ponce’s commutator estimates, so that the chemotaxis terms can be controlled by the fractional diffusion term, thus obtaining the inequalities (87) and (88). Then, from some estimates in Lemma 1 and Lemma 2, we arrived at the existence of the global solution of (1). Finally, we supposed that , then we have , , as . Meanwhile, when and is sufficiently large, we have , , as . Additionally, we found that, if , in either case, satisfies as Here, we list our main conclusions.
Theorem 1.
Theorem 3.
Theorem 4.
This paper is organized as follows. Several useful lemmas are introduced in Section 2. In Section 3, by means of the Banach fixed-point theorem and regularity results, we arrive at the local existence and uniqueness of the classical solution. In Section 4, we obtain some estimates of c, v, w, and . Meanwhile, in Section 5, the existence of a global classical solution is studied. Finally, in Section 6, we prove the stabilization with some certain coefficient conditions.
2. Preliminary
In this section, some lemmas that will be crucial in the following proofs are introduced.
First, we show some important inequalities, which were proven in [].
Lemma 1
([]). Suppose that is the analytic semigroup generated by on . Then, for every , and , and there exist constants and depending on α, p, and q only, which have the following properties:
and
Furthermore, we can obtain that
and
Proof.
Since is a semigroup generated by on , we define as the fractional periodic heat kernel and note
Therefore, we can obtain
and
By the estimates for the convolution product, we have
and
where . We recall Inequalities (2.3), (2.4), and (2.5) of [], and we find
and
Substituting the above equations into (16) and (17), we discover (10) and (11).
Lemma 2
([]). Suppose that is the analytic semigroup generated by on . Then, for any , and , and there exist constants and depending on α, p, and q only, which have the following properties:
and
Furthermore, we can obtain that
and
Proof.
We can complete the proof for Lemma 2 by taking in the proof of Lemma 1. □
Now, we give some lemmas used to prove some estimates in Section 4.
Lemma 3
(Gagliardo–Nirenberg interpolation inequality []). Suppose that and . and satisfy
Then, we have that
Proof.
This lemma can be referenced to Remarks 5 and 7 in []. To avoid confusion, we will denote a general positive constant as C in the present paper. □
Lemma 4
(A pointwise inequality for []). Let . Then, we can obtain
where is a convex function.
Proof.
The proof of Lemma 4 can be referenced to [] (Theorem 2.1). □
Lemma 5
(Kato–Ponce’s commutator estimates []). Suppose that and , then we have that
with and such that
Proof.
Kenig, Ponce, and Vega in Lemma 2.10 of [] proved the above lemma with being replaced by and the homogeneous spaces being replaced by non-homogeneous ones. □
Lemma 6
([]). Suppose that is absolutely continuous and there exists a nonnegative function satisfying
for any such that
for . Then,
for all , where we assumed that , , , and .
Proof.
The proof of Lemma 6 can be obtained in Lemma 3.4 of [] with . □
Finally, we introduce fractional Fisher information, which is key to studying the asymptotic behavior.
Lemma 7
(Fractional Fisher information []). Suppose that , is a smooth, given function and is a fixed constant. Suppose that is an increasing -function such that , where is a constant. Then,
Proof.
We can find the proof of Lemma 7 in Section 4.1 of []. □
3. Local Existence and Uniqueness
Now, the local existence and uniqueness of the classical solution is proven.
Lemma 8.
Proof.
Part 1. Existence of mild solution: First, we prove the existence of the mild solution of (1) with nonnegative initial data and , then there exists satisfying
where, for every vector , we represent the matrix by . Fix satisfying (5), and let , and
which is the Banach space. We define the closed set:
and a mapping on :
for and .
Now, we prove maps into itself. Employing the spatio-temporal estimates of the analytic semigroup in Lemma 1 and (3), we obtain that
It follows from Lemma 2 that
and
By using the same method for and , we deduce that
and
Similarly, since the Helmholtz projection is a bounded linear operator, we can find such that
Combining (29)–(33) with (34), if we choose large enough and pick sufficiently small, we can obtain that maps into itself, where R depends on , , , and .
Next, we show that is a contraction on . Let us take , and denote
by .
Recalling once again the spatio-temporal estimates of the analytic semigroup in Lemma 1 and arguments involving the Lipschitz continuity of and on , for some positive constants and , we have that
By Lemma 2, we can obtain that
and
Similarly, we have that
and
as well as
We selected T so small that is a contraction on . We can then apply Banach’s fixed-point theorem to find a unique mild solution of the problem (1) existing on the time interval .
Part 2. Regularity: In this part, the mild solution of (1) on obtained in Part 1 is a classical solution of (1) proven on . First, according to the Stokes semigroup [,] and the standard regularity theory for the parabolic equation, we know that
Then, as for the smoothness of c, c is affected by the fractional Laplacian operator, so it cannot be obtained directly by the standard regularity theory for the parabolic equation. We note that
Recalling (2), the regularity of v, w, and , and the boundedness of c, we arrive at , . Then, we can use Theorem 3.2 of [] to obtain . Thus, combining this with Theorem 3.3 of [], we have . Furthermore, it was proven in [] that there exists a smooth function P such that Problem (3) has a classical solution in .
Part 3. Nonnegative: Now, the classical solution being nonnegative is proven. We assumed that solves System (1) classically in . Let
Using the proof of Theorem 1 of [] and Theorem 4.1 of [], evaluating the first equation of (1) at the minimum point of c, and using the kernel expression for , we deduce that
By a comparison argument, we have
By the positive of , we can obtain . Moreover, the maximum principle of the parabolic equation ensures and . □
4. A Priori Estimates
In this section, in order to obtain the uniform boundedness of the -norms of c, we made a series of a priori estimates for the components of the solution. These a priori estimates not only help to prove the global existence of the solution, but also play a key role in the study of asymptotic stability.
First, we show the following basic, but important inequalities.
Lemma 9.
Proof.
Integrating the first equation of System (1) over and employing and the Cauchy–Schwarz inequality, we have that
for all . By a straightforward ordinary differential equation comparison argument, we can obtain (35).
Furthermore, integrating (37) in time yields
for all . Then, the proof of Lemma 9 is complete. □
With the help of Lemma 9, we can obtain the following boundedness estimates for .
Lemma 10.
Proof.
We multiply the third equation of System (1) by , integrate over , and integrate by parts, yielding
Using , we deduce that
Combining Hölder’s inequality with Sobolev’s inequality, we know
Applying the above inequality, Hölder’s inequality, and Young’s inequality to (41), we have
for all , which means
By dropping in (44), letting and , and combining this with Lemma 9 and (4), there is such that
for all . Applying Lemma 6, we have
for all , which means (38).
Lemma 11.
There is such that the solution of System (1) fulfills
Proof.
Applying the Helmholtz projector to the third equation of System (1), we arrive at
where denotes the realization of the Stokes operator in the solenoidal subspace of . Multiplying (48) by and integration by parts and combining the orthogonal projection property of [] (Lemma 2.5.2) with Young’s inequality yield
It follows from Hölder’s inequality, the Gagliardo–Nirenberg inequality, Lemma 10, and Young’s inequality that we arrive at
Moreover, combining this with [] (Lemma 2.2.1),
Thus, (49) becomes
Next, we study some estimates of the higher derivatives of v and w.
Lemma 12.
Proof.
Applying v to the second equation of System (1), integrating over and integration by parts yield
By Young’s inequality, we infer from
to
Therefore, we have that
Let and ; by dropping in (61),
for all . By Lemma 6, moreover, (36) shows that there exists such that
for all . Thus, we have
for all , which, in turn, yields (57). Integrating (61) with respect to time and making use of (36) and (57), we can immediately arrive at (59).
Similarly, it is easy to obtain
for all and (60). The proof of Lemma 12 is complete. □
Lemma 13.
Proof.
Test the second equation of System (1) by . Using integration by parts, Hölder’s inequality, Young’s inequality, and the Gagliardo–Nirenberg inequality, we can obtain
Thus, (66) can be written as
Let , and , then (67) becomes
We invoke Lemma 9 and Lemma 10 and find , such that
for all . Meanwhile, Lemma 12 shows that there is such that
for all . Thus, for given , we can employ (70) to choose satisfying
Dropping of (68) and integrating over , we arrive at
which, in light of (69)–(72), implies that
which implies (62). Integrating (68) in time and once more using (62), (69), and (70), we can deduce the inequality (64). Furthermore, by employing the same method for w, we can obtain the inequalities (63) and (65). The proof of Lemma 13 is complete. □
At the end of this section, according to the above results, by an inductive method, we arrive at the uniform boundedness of . To be precise, we used Lemma 4 for to handle . When dealing with the chemotaxis terms, due to the influence of , we need to use Kato–Ponce’s commutator estimates and Parseval’s identity to handle and . Then, the chemotaxis terms can be controlled by the fractional diffusion term; thus, we can obtain (89).
Lemma 14.
Suppose that . Then, there are and such that the solution of System (1) fulfills
then we have that
and
where .
Proof.
For the term , by Lemma 4, we have that
Since is solenoidal, for the term , we have that
To be able to deal with and , first, let us introduce the Riesz transform. We define
and write
Recall [,]; we arrive at
If , we know the boundedness of the Riesz transform . Combining this with integration by parts and Hölder’s inequality, we can obtain that
Using Kato–Ponce’s commutator estimates (27) to deal with
, we can find such that
where
and
For the terms and , by the Gagliardo–Nirenberg interpolation inequality (26), we discover
where , and
where and . For the term , using the Gagliardo–Nirenberg inequality twice, (26), (62), and (3), we have that
where , . For the term , using again Kato–Ponce’s commutator estimates (27) and (3), we can find such that
For the term ,
where , . For the term , employ the Gagliardo–Nirenberg inequality (26) and Young’s inequality:
where . For the term , by the Gagliardo–Nirenberg inequality (26) and Parseval’s identity, then there exist C, , and such that and
Combining this with (84), (85), and (86), we can find C such that
Inserting (81)–(84) into (80) and employing Young’s inequality, (79) becomes
Let ; we have that
By using the same method for , we can deduce that
Combining (77), (78), and (87) with (88) and (76) turns into
By (73), we have that, for given , we can pick , then
Thus, dropping of (89) and integrating over yield
which implies (74). Furthermore, integrating (89) in time and employing (74), we can obtain (75). The proof of Lemma 14 is complete. □
Lemma 15.
For any , we can find such that
Proof.
This result was obtained from Lemma 14 and Lemma 9. □
5. Global Existence
Through Lemma 8, the local existence and uniqueness of the classical solution of Problem (1) is obtained on the interval . Combining this with a priori estimates in Section 3, we prove the global existence of the classical solution (Theorem 1).
Proof of Theorem 1.
First, we claim that, if is finite, then
To check this, we used a priori estimates in the previous lemmas and the estimates in Lemmas 1 and 2; recalling the Gagliardo–Nirenberg inequality, we have that, for ,
Let ; we can obtain that
and
Next, we fix and, moreover, satisfying . Let ; we thereby obtain
Let and . We see from (91) that
with some . Since , by Young’s inequality, we have
Similarly, by using the same method for w, we can obtain that
Finally, combining the above three inequalities with Lemma 1, we have that
This proves (90). Combining this claim with Lemma 8, we can obtain . The proof of Theorem 1 is complete. □
6. Stabilization
In this section, the asymptotic behavior of the global bounded classical solution of (1) is studied. In the case , we discovered that the solutions c, v, and w converge to a zero equilibrium, which was shown in []. In the case , if is large enough, the solutions c, v, and w converge to a non-zero equilibrium. The key idea of our method is to employ the Lyapunov functional, the form of which was inspired by []. Specifically, we dealt with the fractional diffusion term by Lemma 7 (fractional Fisher information) and uses the Riesz transform to handle the chemotaxis terms and ; we can obtain Inequalities (104), (105), and (106). Moreover, because of the influence of , we needed to employ Kato–Ponce’s commutator estimates and Parseval’s identity to handle and . Thus, we can obtain (111) and (112). Finally, when < ∞, then we arrive at as in either case.
6.1. Stability of c, v, and w in the Case
In this subsection, the asymptotic stability of the solution to System (1) is studied in the case .
Lemma 16.
Proof.
Proof of Theorem 2.
Now, we prove the theorem by contradiction. Let as fail. Then, there exist and , for all , such that
Recall Theorem 1; we have that , so we can choose a function and a subsequence of such that
From (92), we have
Thus, and as , which contradicts the former assumption. Therefore, the theorem is valid. Similarly, for the asymptotic stability of v and w, we have that
□
6.2. Stability of c, v, and w in the Case
Lemma 17.
Proof.
According to , where
which enables us to fix some , that simultaneously fulfill
and take such that
where and are some positive constants to be determined later. With this value of and fixed henceforth, we denote
and
for all , and we write
for all . Taking the derivative of in time, using integration by parts, , and Young’s inequality, we discover
and
as well as
for all . Similarly,
and
for all . Therefore, we arrive at
for all , where X is vector functions defined as
and the constant matrix A is given by
Now, the important thing is to prove that A is positive definite. If we prove that, then we can obtain
for some and all , . Thus, focusing attention on the desired definiteness properties, we first calculate the three principal minors of A to obtain that
and
because (101). Sylvester’s criterion guarantees that, indeed, A is positive definite. Therefore, we can obtain
for all . We recall the weak maximum principle of the parabolic equation, which implies
For the term , using Lemma 7 with , we have that
For the term , by the boundedness of the Riesz transform for , integration by parts, Hölder’s inequality, and (3), we can discover
Using Lemma 5, we see
with . We invoke the Gagliardo–Nirenberg inequality (26) to deal with the term , then
For the term , recalling (103), we know that
Thus,
By the Gagliardo–Nirenberg inequality (26), to handle the term , we arrive at
For the term , by the Gagliardo–Nirenberg inequality (26) and Parseval’s identity, then there exist and such that and
Combining (107)–(110) with (106), using Young’s inequality, and choosing ,(105) turns into
Due to Young’s inequality, we can conclude the existence of such that
Similarly, it is possible to find and such that
By using the same method for the term , Young’s inequality provides and such that
Similarly, we can find and such that
Lemma 18.
Proof.
Proof of Theorem 3.
We define
From Lemma 18, we know
The nonnegativity of shows that
According to being uniformly continuous for (Theorem 1), we obtain as . Combining this with the Gagliardo–Nirenberg inequality yields Theorem 3. □
6.3. Stability of
In the last subsection, combining the convergence of c, v, and w with (9) with the external force g, we can obtain the convergence of .
Lemma 19.
Proof.
Going back to (41), then
for . Multiplying (116) by , integrating over , and employing Hölder’s inequality, we discover
Further, (117) implies
where
By Lemma 16 and Lemma 18, we know that
Combining this with (9), for all and any , we deduce that
Thus, Lemma 3.4 of [] shows that
Furthermore, it follows from (38) that we can find large enough, such that
for all , and thus,
Inserting (119) and (120) into (118), for all , we can obtain that
□
Proof of Theorem 4.
Suppose that as . Then, there exist and such that
for all . Recall Theorem 1; we know , so we can choose a function and a subsequence of such that
From (19), we know that
Thus, and as , which contradicts the former supposition. Thus, we can obtain
□
7. Conclusions
We considered the global boundedness and large time behavior of a fractional chemotaxis Navier–Stokes system with matrix-valued sensitivities and attractive–repulsive signals on a two-dimensional periodic torus . When the cell density may proliferate following a logistic law and the diffusion of cells is fractional Laplace diffusion, the attractive–repulsive signals are produced by the cells themselves and degrade at a constant rate, and the cells and chemical substances are transported by an incompressible viscous fluid under the influence of a force due to the aggregation of cells. Our results showed that the global bounded solution of the system converges to the constant steady state. In addition, we are inspiring further researchers working in the fractional chemotaxis system and drawing the attention of the interested readers towards recent articles (see [,,,]). In conclusion, we suggest the recently published article by Lei et al. [], who pointed out the fact that, from the results for the global existence of classical solutions to a coupled chemotaxis Navier–Stokes system with a logistic source and a fractional diffusion, the classical solutions in fact converge to the constant steady state. In addition, we trust that this paper will stimulate a number of researchers to extend this idea for some chemotaxis Navier–Stokes system with matrix-valued sensitivities and fractional diffusion without a logistic source.
Author Contributions
Writing—original draft, C.J.; supervision, Z.L.; methodology, Y.L. All authors have read and agreed to the published version of the manuscript.
Funding
The work is partially supported by the National Natural Science Foundation of China (11771380) and the Natural Science Foundation of Jiangsu Province (BK20191436).
Data Availability Statement
Not applicable.
Acknowledgments
The authors wish to express their hearty thanks to the anonymous Referees for their valuable suggestions and comments.
Conflicts of Interest
The authors declare no conflict of interest.
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