Dynamic of the three dimensional viscous primitive equations of large-scale atmosphere
Bo You

TL;DR
This paper proves the existence of a finite-dimensional global attractor for the 3D viscous primitive equations modeling large-scale atmospheric dynamics, addressing challenges due to weak solution uniqueness.
Contribution
It introduces a novel approach using $ ext{ extlangle}$-trajectories to establish finite-dimensional global attractors despite weak solution non-uniqueness.
Findings
Existence of a finite-dimensional global attractor proven.
Method applicable despite weak solution non-uniqueness.
Advances understanding of long-term behavior of atmospheric models.
Abstract
The main objective of this paper is to study the existence of a finite dimension global attractor for the three dimensional viscous primitive equations of large-scale atmosphere. Thanks to the shortage of the uniqueness of weak solutions, we prove the existence of a global attractor with finite fractal dimension for the three dimensional viscous primitive equations of large-scale atmosphere by using the method of -trajectories.
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Taxonomy
TopicsStability and Controllability of Differential Equations · Navier-Stokes equation solutions · Mathematical Biology Tumor Growth
Dynamic of the three dimensional viscous primitive equations of large-scale atmosphere
Bo You
School of Mathematics and Statistics, Xi’an Jiaotong University
Xi’an, 710049, P. R. China
Abstract
The main objective of this paper is to study the existence of a finite dimension global attractor for the three dimensional viscous primitive equations of large-scale atmosphere. Thanks to the shortage of the uniqueness of weak solutions, we prove the existence of a global attractor with finite fractal dimension for the three dimensional viscous primitive equations of large-scale atmosphere by using the method of -trajectories.
keywords:
Primitive equation, Global attractor, The method of -trajectories, Fractal dimension.
MSC:
35Q35, 35B40 , 37C60.
1 Introduction
In this paper, we consider the long-time behavior of solutions for the following three dimensional viscous primitive equations of large-scale atmosphere(see [22, 23]):
[TABLE]
in the domain
[TABLE]
where is a bounded domain with smooth boundary. Here , is the velocity field, is the temperature, is the pressure, is the Coriolis parameter, is vertical unit vector and is a heat source. The operators and are given by
[TABLE]
where are positive constants representing the horizontal and vertical Reynolds numbers, respectively, and are positive constants which stand for the horizontal and vertical heat diffusivity, respectively. For the sake of simplicity, let be the horizontal gradient operator and let be the horizontal Laplacian. We denote the different parts of the boundary of by
[TABLE]
Equations (1.1) is equipped with the following boundary conditions, with non-slip and non-flux on the side walls and bottom (see [3])
[TABLE]
In addition, we supply equations (1.1)-(1.2) with the following initial datum
[TABLE]
In the past several decades, the primitive equations of the atmosphere, the ocean and the coupled atmosphere-ocean have been extensively studied from the mathematical point of view (see [3, 8, 10, 11, 12, 16, 17, 22, 23, 26, 27] etc). By introducing -coordinate system and using some technical treatments, Lions, Temam and Wang in [22] obtained a new formulation for the primitive equations of large-scale dry atmosphere which is a little similar with Navier-Stokes equations of incompressible fluid, and they proved the existence of weak solutions for the primitive equations of the atmosphere. In [23], Lions, Temam and Wang introduced the primitive equations of large-scale ocean and proved the existence of weak solutions and the well-posedness of local in time strong solutions for the primitive equations of large-scale ocean, and estimated the dimension of the universal attractor. Based on the works of Lions, Temam and Wang in [22, 23], many authors continued to consider the well-posedness of solutions for the primitive equations of large-scale atmosphere (see [1, 2, 4, 8, 9, 10, 13, 16, 17, 26, 31, 33, 34]). However, the uniqueness of weak solutions and the global existence of strong solutions for the three dimensional primitive equations of large-scale ocean and atmosphere dynamics with any initial datum remain unresolved. Until 2007, Cao and Titi [3] decomposed the three dimensional primitive equations of large-scale ocean and atmosphere dynamics into two systems by using the idea of the decomposition of semigroup, one is similar with the two dimensional incompressible Navier-Stokes equations, the other is the reaction-convection-diffusion equations. As we known, the solutions of each system were fairly regular. Cao and Titi performed some a priori estimates about the solutions of each system by which they obtained some a priori estimates of strong solutions for the three dimensional primitive equations of large-scale ocean and atmosphere dynamics, which implies the well-posedness of strong solutions for the three dimensional primitive equations of large-scale ocean and atmosphere dynamics, they resolved the open question posed in [22, 23]. Meanwhile, the long-time behavior of solutions for the three dimensional primitive equations of large-scale ocean and atmosphere dynamics has been considered extensively (see [6, 7, 10, 11, 12, 13, 14, 15, 18, 19, 20, 21, 32]). In particular, in [11], Guo and Huang obtained a weakly compact global attractor for the primitive equations of large-scale atmosphere which captures all the trajectories. The existence of a global attractor in for the primitive equations of large-scale atmosphere and ocean dynamics was proved by Ning Ju in [18] by using the Aubin-Lions compactness theorem under the assumption In [19, 20], the authors have proved the finite dimensional global attractor for the 3D viscous primitive equations by using the squeezing property.
To the best of our knowledge, the method of -trajectories is based on an observation that the limit behavior of solutions to a dynamical system in an original phase space can be equivalently captured by the limit behavior of -trajectories which are continuous parts of solution trajectories that are para-metrized by time from an interval of the length with and it can weaken the requirements on the regularity of the solution. In this paper, thanks to the shortage of the regularity of weak solutions for the three dimensional viscous primitive equations of large-scale atmosphere, we can not obtain the uniqueness of weak solutions such that we are not able to define the semigroup on Therefore, the existence of a global attractor in can not be obtained by the classical theory of dynamical systems. Fortunately, we know that any weak solutions of equations (1.1)-(1.3) will be unique for any To overcome this difficulty, inspired by the idea of the method of -trajectories for any small proposed in [24], in this paper, we first define a semigroup on some subset of generated by problem (1.1)-(1.3), and then, we prove the existence of a global attractor in for the semigroup by the method of -trajectories and estimate the fractal dimension of the global attractor by using the smooth property of the difference of two solutions. Finally, by defining a Lipschitz continuous operator on the global attractor we obtain the existence of a finite dimensional global attractor in the original phase space for problem (1.1)-(1.3).
Throughout this paper, let be a generic constant that is independent of the initial datum of
2 Mathematical setting of equations (1.1)-(1.3)
2.1 Reformulation of equations (1.1)-(1.3)
Integrating the third equation of (1.1) and combining the boundary condition (1.2), we obtain
[TABLE]
and
[TABLE]
Define an unknown function on say
[TABLE]
which is the pressure of the atmosphere on Then
[TABLE]
Therefore, equations (1.1) can be reformulated as follows
[TABLE]
subject to the following boundary conditions
[TABLE]
and the initial datum
[TABLE]
2.2 Some function spaces
In this subsection, we first introduce the notations for some standard function spaces on as follows
[TABLE]
Denote the norm in by the notation given by
[TABLE]
for any and let be the closure of with respect to the -norm. Similarly, we let be the closure of with respect to the following norms
[TABLE]
for any and respectively, let and with the norm defined by for any and denote by the dual space of
Next, we recall some results used to prove the existence of a finite dimensional global attractor for problem (2.3)-(2.5).
Lemma 2.1
([3]) There exists a positive constant such that
[TABLE]
for any Moreover, we have
[TABLE]
for any where
[TABLE]
Lemma 2.2
([5, 18, 24, 25, 29]) Assume that Let be a Banach space and let be separable and reflexive Banach spaces such that Then
[TABLE]
where is a fixed positive constant.
Definition 2.1
([28, 30]) Let be a semigroup on a Banach space A set is said to be a global attractor if the following conditions hold:
- (i)
* is compact in *
- (ii)
* is strictly invariant, i.e., for any *
- (iii)
For any bounded subset and for any neighborhood of in there exists a time such that for any
Lemma 2.3
([25]) Let be a (subset of) Banach space and be a dynamical system. Assume that there exists a compact set which is uniformly absorbing and positively invariant with respect to Let moreover be continuous on Then has a global attractor.
Definition 2.2
([28, 30]) Let be a separable real Hilbert space. For any non-empty compact subset the fractal dimension of is the number
[TABLE]
where denotes the minimum number of open balls in with radii that are necessary to cover
Lemma 2.4
([25]) Let be norm spaces such that and be bounded. Assume that there exists a mapping such that and is Lipschitz continuous on Then is finite.
Lemma 2.5
([25]) Let and be two metric spaces and be -Hölder continuous on the subset Then
[TABLE]
In particular, the fractal dimension does not increase under a Lipschitz continuous mapping.
3 The existence of a global attractor
We start with the following general existence of weak solutions which can be obtained by the standard Faedo-Galerkin methods (see [3, 30]). Here we only state the result as follows.
Theorem 3.1
Assume that Then for any there exists at least one solution of problem (2.3)-(2.5).
Lemma 3.1
([3, 18]) Assume that Then for any there exists a unique strong solution of problem (2.3)-(2.5), which depends continuously on the initial data with respect to the topology of and the topology of
Corollary 3.1
Assume that and in let be a sequence of weak solution for problem (2.3)-(2.5) such that For any if there exists a subsequence converging (-) weakly in spaces to a certain function Then is a weak solution on with
3.1 The existence of a global attractor in
In this subsection, we will consider the existence of global attractors for problem (2.3)-(2.5) by using the -trajectory method. From Theorem 3.1, we deduce that for any there exists some such that Therefore, we infer from Remark 2.1 in [18] that there exists a unique solution of problem (2.3)-(2.5) with smoother initial data Therefore, many trajectories may start from the same initial data Denote by for short where is the set of indices marking trajectories starting from In the following, we first give the mathematical framework of attractor.
Definition 3.1
Let be a fixed positive constant. Define
[TABLE]
equipped with the topology of
Since it makes sense to talk about the point values of trajectories. On the other hand, it is not clear whether is closed in and hence in general is not a complete metric space. In what follows, we first give the definition of some operators.
For any we define the mapping by
[TABLE]
for any
The operators are given by the relation
[TABLE]
for any where is the unique solution of problem (2.3)-(2.5) on such that we can easily prove the operators is a semigroup on
From the proof of absorbing balls in [18], we immediately obtain the following result.
Theorem 3.2
Assume that Then there exists a positive constant satisfying for any bounded subset there exists a time such that for any weak solutions of problem (2.3)-(2.5) with initial data we have
[TABLE]
for any
Let
[TABLE]
we infer from Theorem 3.2 that there exists a time such that for any and any we have
[TABLE]
where is the solution of problem (2.3)-(2.5) with initial data
Define
[TABLE]
and
[TABLE]
from the proof of absorbing balls in [18] and Theorem 3.2, we deduce
[TABLE]
for any and is a bounded subset of Moreover, we have the following conclusion.
Proposition 3.1
Assume that is a bounded subset of Then is also a positively invariant, bounded subset of
Proof. From the definition of we infer that for any there exists a sequence such that
[TABLE]
Since is uniformly bounded in and is a reflexive Hilbert space, we deduce that there exist some and a subsequence of such that
[TABLE]
From the compactness of and the lower semi-continuity of we obtain
[TABLE]
and
[TABLE]
Therefore, is a bounded subset of
For any and any fixed there exists a sequence such that in as we infer from Lemma 3.1 that in as Notice that for any we obtain Therefore, we obtain
[TABLE]
for any
\qed
From Theorem 3.2, we immediately obtain the following result.
Corollary 3.2
Assume that Then for any bounded subset there exists a time such that for any weak solutions of problem (2.3)-(2.5) with short trajectory we have
[TABLE]
for any
Next, we prove the existence of absorbing sets in for the three dimensional viscous primitive equations of large-scale atmosphere.
Theorem 3.3
Assume that Then there exists a positive constant satisfying for the there exists a time such that for any weak solutions of equations (2.3)-(2.5) with short trajectory we have
[TABLE]
for any
Proof. Taking the inner product of the second equation of (2.3) with and combining Lemma 2.1 with Young inequality, we obtain
[TABLE]
which implies that
[TABLE]
and
[TABLE]
It follows from the classical Gronwall inequality that
[TABLE]
Thanks to
[TABLE]
for any integrating (3.3) with respect to from to and integrating the resulting inequality over with respect to we obtain
[TABLE]
Multiplying the first equation of (2.3) by and integrating over we find
[TABLE]
Let we infer from Young inequality and Poincáre inequality that
[TABLE]
and
[TABLE]
We infer from the classical Gronwall inequality and (3.2) that
[TABLE]
Thanks to
[TABLE]
Integrating (3.8) with respect to between and and integrating the resulting inequality with respect to over using (3.2) and (3.1), we know
[TABLE]
From Proposition 3.1, (3.1) and (3.9), we deduce that there exists some time such that
[TABLE]
for any where
[TABLE]
Integrating (3.1) and (3.5) between and with and combining (3.10), we obtain
[TABLE]
Integrating (3.1) with respect to over and using (3.10), we find
[TABLE]
which implies that
[TABLE]
for any where
[TABLE]
For any from Hölder inequality, we deduce
[TABLE]
and
[TABLE]
which implies that
[TABLE]
Integrating (3.13) over and combining (3.12), we find
[TABLE]
for any
\qed
Let
[TABLE]
equipped with the following norm
[TABLE]
Define
[TABLE]
From Proposition 3.1 and Theorem 3.3, we know that for any as well as for any
Lemma 3.2
Assume that Then for any
Proof. Thanks to for any it is enough to prove that
[TABLE]
For any there exists a sequence of trajectories such that in which implies that in for almost all Since for any there exists a subsequence of and such that in From the proof of the existence of weak solutions for problem (2.3)-(2.5), we deduce that for any there exists a subsequence converging (-) weakly in spaces to a certain function with Therefore, we obtain from Corollary 3.1. It remains to show that Since is weakly closed in we deduce from the proof of Proposition 3.1 that for almost all In particular, for any sequence with From the weak continuity of and the weak closedness of we deduce that Therefore, we obtain
\qed
Lemma 3.3
Assume that Then the mapping is locally Lipschitz continuous on for all
Proof. For any fixed let , be two solutions for problem (2.3)-(2.5) with the initial data respectively. Let from the proof of Theorem 2 in [3], we conclude
[TABLE]
where
[TABLE]
Let and integrating (3.15) from to we obtain
[TABLE]
From the classical Gronwall inequality, we deduce
[TABLE]
where
[TABLE]
is a finite number depending on for any fixed from Remark 2.1 in [18] and the proof of a priori estimates in [3].
Integrating (3.1) with respect to for [math] to we obtain
[TABLE]
which implies the mapping is locally Lipschitz continuous on for all
\qed
We can immediately obtain the existence of a global attractor in from Lemma 2.3 stated as follows.
Theorem 3.4
Assume that Then the semigroup generated by problem (2.3)-(2.5) possesses a global attractor in and is uniformly bounded in with respect to where
[TABLE]
for any
In what follows, we prove the smooth property of the semigroup to estimate the fractal dimension of the global attractor
Theorem 3.5
Assume that let and be two short trajectories belonging to Then there exists a positive constant independent of such that for arbitrary we have
[TABLE]
where is given in (3.18).
Proof. For any let and let Since and is uniformly bounded in with respect to for any from the proof of Theorem 2 in [3], we conclude
[TABLE]
where
[TABLE]
For any integrating (3.20) from to with we conclude
[TABLE]
It follows from the classical Gronwall inequality that
[TABLE]
For any and any integrating (3.20) from to we obtain
[TABLE]
We deduce from the classical Gronwall inequality that
[TABLE]
Combining (3.1) with (3.1), we obtain
[TABLE]
Integrating the above inequality over with respect to we obtain
[TABLE]
Thanks to is bounded for any fixed we obtain
[TABLE]
Thanks to
[TABLE]
and
[TABLE]
we infer from Theorem 3.4, (3.24)-(3.26) that
[TABLE]
The proof of Theorem 3.5 is completed.
\qed
From Lemma 2.4, Theorem 3.4 and Theorem 3.5, we immediately obtain the following result.
Theorem 3.6
Assume that Then the fractal dimension of the global attractor in of the semigroup generated by problem (2.3)-(2.5) established in Theorem 3.4 is finite.
3.2 The existence of a global attractor in
In this subsection, we prove the existence of a finite dimensional global attractor in of problem (2.3)-(2.5). From Lemma 3.1, we deduce that for any given initial condition there exists a unique solution of problem (2.3)-(2.5), hence solution operators is a semigroup on Moreover, is positively invariant with respect to
Theorem 3.7
Assume that Then the mapping is Lipschitz continuous. That is, for any two short trajectories there exists a positive constant dependent on such that
[TABLE]
Proof. For any let and let Thanks to and is uniformly bounded in for any from (3.20), we obtain
[TABLE]
For we infer from the classical Gronwall inequality that
[TABLE]
Integrating (3.2) over we obtain
[TABLE]
Thanks to (3.18), we know that
[TABLE]
which implies that the mapping is Lipschitz continuous.
\qed
Theorem 3.8
Assume that Then dynamical system possesses a global attractor in which is compact, invariant in and attracts every bounded subset in with respect to the topology of Furthermore, is bounded in and its fractal dimension is finite.
Proof. From Lemma 2.5, Theorem 3.6 and Theorem 3.7, we know that is compact and the fractal dimension of is finite. As a result of we have
[TABLE]
for any From the definition of we deduce that for any bounded subset of there exists some time such that for any we have
[TABLE]
Therefore, we only need to prove that
[TABLE]
Otherwise, there exist some positive constant some sequence and some with as such that
[TABLE]
From the definition of we deduce that there exists such that
[TABLE]
Since is bounded in and is a global attractor in of the semigroup generated by problem (2.3)-(2.5), there exist a subsequence of and a subsequence of such that
[TABLE]
Thanks to the continuity of we have
[TABLE]
which contradicts with (3.29).
\qed
Since is bounded in we immediately obtain the following result.
Theorem 3.9
Assume that and is the global attractor established in [18]. Then
[TABLE]
Acknowledgement
This work was supported by the National Science Foundation of China Grant (11401459).
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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