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Dynamics for Generalized Incompressible Navier--Stokes Equations in ℝ2

  • Boling Guo , Daiwen Huang , Qiaoxin Li and Chunyou Sun EMAIL logo
Published/Copyright: April 6, 2016

Abstract

In this paper, we consider the dynamics for damped generalized incompressible Navier–Stokes equations defined on 2. The generalized Navier–Stokes equations here refer to the equations obtained by replacing the Laplacian in the classical Navier–Stokes equations by the more general operator (-Δ)α with α(12,1). We prove that the rate of dissipation of enstrophy vanishes as ν0+, where ν is the viscosity parameter. Moreover, we prove the existence and finite dimensionality of a global attractor in (H1(2))2 as ν>0 is kept fixed for the generalized Navier–Stokes equations.

MSC 2010: 35Q30; 76D60; 35B41

1 Introduction

We consider the damped and driven generalized incompressible Navier–Stokes (GNS) equations in 2

(1.1) { t u + ν ( - Δ ) α u + u u + γ u + p = f , u = 0 , u ( x , 0 ) = u 0 ( x ) ,

where α(12,1), γ>0 is a fixed damping coefficient, and the coefficient ν>0 is a parameter that we will let vary. The force f is given and time-independent, and the initial velocity is divergence-free and belongs to (H1(2))2. The fractional Laplacian Λ2α=(-Δ)α is defined in terms of the Fourier transform

Λ 2 α ϕ ^ ( ξ ) = | ξ | 2 α ϕ ^ ( ξ ) ,

where ϕ^(ξ)=2ϕ(x)e-ixξ𝑑x and Λ=(-Δ)12.

The fractional Laplacian operator appears in a wide class of physical systems and engineering problems, including Lévy flights, stochastic interfaces and anomalous diffusion problems. In fluid mechanics, the fractional Laplacian is often applied to describe many complicated phenomenons via partial differential equations. Equations (1.1) are generalizations of the classical Navier–Stokes equations.

When α=1, the GNS equations (1.1) reduce to the usual Navier–Stokes equations. One advantage of working with the GNS equations is that they allow simultaneous consideration of their solutions corresponding to a range of α’s. The well-posedness and regularity about the GNS equations in different spaces have been studied by many authors, see, for example, Wu [22, 23], Li–Zhai [15], Wu–Fan [24], Zhang–Fang [25].

In this paper, we mainly consider the dynamics of the solutions of (1.1). More precisely, we accomplish two major goals. First, as ν0+, in spirit of [5, 12], we consider the zero viscosity limit of long time averages of vorticity. Second, as ν>0 is kept fixed, we prove the existence and finite dimensionality of a compact global attractor for the dynamical systems generated by (1.1) in (H1(2))2.

In Section 2, we recall the notation and properties that we will use throughout this paper. Especially, we give a simple proof about the existence and uniqueness of the solution for the GNS equations (1.1), see Lemma 2.1.

Principal substantive questions related to turbulence have been raised since the beginning of the twentieth century, a large number of empirical and heuristical results were derived, among them the works of Lamb [14] on addressing idealized inviscid flows, and Taylor [19] on viscous flows. Anomalous dissipation is important in revealing the turbulence, see [12, 13, 5, 6] for the details. Anomalous dissipation of energy in three-dimensional turbulence is one of the basic statements of physical theory, which is open mostly in mathematics. Recently, Constantin et al. have proved in [5] the absence of anomalous dissipation of enstrophy for two-dimensional forced damped Navier–Stokes equations, and in [6] the absence of anomalous dissipation of energy for forced surface quasi-geostrophic equations. In Section 3, following the blueprint in Constantin–Ramos [5], we prove the absence of anomalous dissipation of enstrophy for the two-dimensional GNS equations (1.1), that is, the following theorem.

Theorem 1.1

Let u0(L2(2))2 be divergence-free and u0=ω0L1(2)L(2) and fW1,1(2)W1,(2). Let S(ν)(t,ω0) be the vorticity of the solution of the damped and driven generalized Navier–Stokes equations. Then

lim ν 0 ν ( lim sup t 1 t 0 t Λ α S ( ν ) ( s + t 0 , ω 0 ) L 2 ( 2 ) 2 𝑑 s ) = 0

for any t0>0.

Theorem 1.1 shows that a same result as that in [5] holds when we relax the exponent α=1 to α(12,1). However, it is unknown for the case α12.

The long time average of solutions considered in Theorem 1.1 corresponds to some invariant measures. Following the idea of [5, 10, 11, 12], we will use the so-called stationary statistical solution, which is a measure in the phase space and is a natural extension of the notion of invariant measure for deterministic finite dimensional dynamical systems to infinite dimensional case; we refer the readers to [12] for more details about the stationary statistical solution.

On the other hand, from the pioneering works of [10, 11, 12], we know that the stationary statistical solutions are supported in the corresponding global attractor. Hence, in Section 4, we will concentrate on studying the asymptotic behaviors of solutions for system (1.1). More precisely, we consider the existence and finite dimensionality of a compact global attractor in (H1(2))2 as ν>0 is kept fixed for the GNS equations (1.1). The main result in this section is the following theorem.

Theorem 1.2

Let α(12,1), ν,γ>0 and f(W1,2(2))2 be time-independent. Then the semigroup {S(t)}t0 generated by the solutions of (1.1) has a unique global attractor 𝒜 in V; that is, 𝒜 is compact, invariant in V and attracts every bounded subset of V in the V-norm. Moreover, the fractal dimension of 𝒜 is finite in V.

Since ν>0 is kept fixed and (1.1) has certain smoothing effect, we can get easily some regularity estimates, which, combined with the tail estimate technique introduced in Wang [21], allow us to deduce the existence of a compact global attractor directly. Nevertheless, the finite dimensionality requires much more than just regularity, especially for the systems defined on unbounded domains that lack compact embeddings. In this part, we apply a criterion originally introduced in Chueshov–Lasiecka [3] for the hyperbolic equation, but with a combination of the idea of l-trajectory in Malek–Prazak [17], see Theorem 4.8 below. Note that such method allows us to deduce the finite dimensionality of the attractor only via the energy estimates and tail estimates that are already established for the existence of the attractor.

2 Preliminaries

2.1 Notation and Solution

Set

𝒱 = { u ( C c ( 2 ) ) 2 div u = 0 } .

For each s[0,2], define Hs as the completion of 𝒱 with respect to the norm s, where, for any u𝒱,

u s := ( 2 ( 1 + | ξ | s ) | u ^ ( ξ ) | 2 𝑑 ξ ) 1 2 .

Especially, to simplify the notation we denote

H = H 0 , = 0 with inner products ( u , v ) = 2 u v 𝑑 x , u , v H 0 ,
V = H 1 , V = dual space of V .

Then the mathematical framework of (1.1) is now classical, and we consider the following weak formulation of (1.1): find

(2.1) u L ( 0 , T ; V ) L 2 ( 0 , T ; H 2 α ) for all T > 0

such that

(2.2) d d t ( u , v ) + ν ( Λ α u , Λ α v ) + γ ( u , v ) + b ( u , u , v ) = ( f , v ) for all v V , t > 0

and

(2.3) u ( x , 0 ) = u 0 ,

where b:V×V×V is given by

b ( u , v , w ) = i , j = 1 2 2 u i v j x i w j 𝑑 x .

Lemma 2.1

Let ν,γ>0, α(12,1) and f(W1,2(2))2. Then for each initial data u0V and any T>0, there exists a unique uL(0,T;V) such that (2.2) and (2.3) hold. Moreover, uL2(0,T;H) and uC([0,T);V).

This existence and uniqueness indeed can be seen as a special result of Wu [22, 23]. Here, since we can use the vorticity equation in 2, we give a simple proof as follows. Moreover, since our initial data and forcing term are nice, the definition of the solution given in (2.1)–(2.3) is different, e.g., compared with [22, 23].

Proof.

The existence can be obtained by the well-known viscosity solution method (see [16]): consider the following equation, ε>0:

(2.4) { t u ε + ν ( - Δ ) α u ε + u ε u ε + γ u ε + p ε - ε Δ u ε = f , u ε = 0 , u ε ( x , 0 ) = u 0 ( x ) .

By the classical result for Navier–Stokes equations we know that for each ε>0 and u0V, there exists a unique solution uεL(0,T;V)L2(0,T;H2(2)) which satisfies (2.4)1 almost everywhere in 2×(0,T).

We will get a solution for the weak formulation (2.2) by taking ε0+.

For this, we need to show that {uε} is bounded in V with the bounds independent of ε, which will imply uL(0,T;V). Indeed, this can be done by considering the corresponding vorticity ωε (the curl of the incompressible two-dimensional velocity):

ω ε = u ε = 1 u ε 2 - 2 u ε 1 ,

which obeys

t ω ε + u ε ω ε + γ ω ε + ν Λ 2 α ω ε - ε Δ ω ε = g

with gL2(2), g=f. It is easy to see that ωε(,t)L2(2) can be controlled by the bounds which depend only on ωε(,0)L2(2) and the coefficients in the equations. Then the uniformly (with respect to ε) boundedness of uε in V can be deduced immediately by noting uε=Kωε (see, e.g., Lemma 3.4; where K=12πx|x|2 is the Biot–Savart kernel). Note that here we used crucially the fact that u0V and f(W1,2(2))2.

To see uL2(0,T;H2α), we multiply (1.1) (this can be justified by multiplying (2.4) with Λ2αuε and then taking the limitation) by Λ2αu and integrate in space to deduce that

d d t Λ α u 2 + 2 γ Λ α u 2 + 2 ν Λ 2 α u 2 2 2 | u u | | Λ 2 α u | 𝑑 x .

We will use the fact uL(0,T;V) to deal with the nonlinear term as follows:

(2.5) 2 | u u | | Λ 2 α u | 𝑑 x Λ 2 α u u L 2 p p - 2 ( 2 ) u L p ( 2 ) ,

where p(2,) is large enough (e.g., H(2α-1)-L2pp-2(2) since α(12,1)) such that

(2.6) u L 2 p p - 2 ( 2 ) C η u + η Λ 2 α u

for any η>0; where (2α-1)- denotes the number smaller than 2α-1 but approaching 2α-1. Consequently, combining with H1Lp(2) for any p[2,), we have

d d t Λ α u ( t ) 2 + 2 γ Λ α u ( t ) 2 + 2 ν Λ 2 α u ( t ) 2
2 Λ 2 α u ( t ) ( C η u ( t ) + η Λ 2 α u ( t ) ) u L ( 0 , T ; V )
( 3 η Λ 2 α u ( t ) 2 + C η u ( t ) 2 ) u L ( 0 , T ; V ) for a.e. t ( 0 , T ) .

Hence, by taking η small enough such that 3ηuL(0,T;V)ν, we integrate the above inequality over (0,T) and obtain that

ν 0 T Λ 2 α u ( s ) 2 𝑑 s Λ α u ( 0 ) 2 + C η u L ( 0 , T ; V ) 0 T u ( s ) 2 𝑑 s ,

which, combined with the fact u(0)V and the a priori bounds about uL(0,T;V) again, implies that uL2(0,T;H2α).

We can see from (1.1) that uL2(0,T;H), directly after we obtained uL(0,T;V)L2(0,T;H2α). Then uC([0,T);V) follows immediately.

The uniqueness is obvious by noticing the fact that the solution belongs to L(0,T;V): let (ui,pi) be the solutions corresponding to initial data u0i, i=1,2, and write w=u1-u2, then w solves the following equation:

(2.7) { t w + ν ( - Δ ) α w + u 1 u 1 - u 2 u 2 + γ w + p 1 - p 2 = 0 , w = 0 , w ( x , 0 ) = u 0 1 - u 0 2 .

Multiplying (2.7) by w and integrating in space, we get

(2.8) d d t w ( t ) 2 + 2 min { γ , ν } w ( t ) H α 2 2 | b ( w , u 1 , w ) | 2 w ( t ) L 4 ( 2 ) 2 u 1 ( t ) V .

Then, noting that u1L(0,T;V) and using the fact (since α>12)

w ( t ) L 4 ( 2 ) C w ( t ) r w ( t ) H α 1 - r

for some constant r(0,1), we can deduce from (2.8) that

d d t w ( t ) 2 C 1 w ( t ) 2 ,

where the constant C1 depends on u1L(0,T;V) and γ,ν; which immediately implies that

(2.9) w ( t ) 2 e C 1 t u 0 1 - u 0 2 2 for all t [ 0 , T ) .

This finishes the proof. ∎

2.2 Useful Properties

We will frequently use the following properties. For the proofs we refer to [7, 9].

Proposition 2.2

Let 0<α<2, x2 and θ𝒮, the Schwartz class. Then

Λ α θ ( x ) = C α P . V . 2 [ θ ( x ) - θ ( y ) ] | x - y | 2 + α 𝑑 y ,

where Cα>0.

Proposition 2.3

Proposition 2.3 (Pointwise identity)

Let 0α2, x2 and θ𝒮. Then

2 θ Λ α θ ( x ) = Λ α ( θ 2 ( x ) ) + D α [ θ ] ( x ) ,

where

D α [ θ ] ( x ) = P . V . 2 [ θ ( y ) - θ ( x ) ] 2 | x - y | 2 + α 𝑑 y 0 .

Proposition 2.4

Proposition 2.4 (Positivity lemma)

Let 0α2, x2 and θ,ΛαθLp with 1p<. Then

2 | θ | p - 2 θ Λ α θ 𝑑 x 0 .

3 Inviscid Limit

Throughout the section, we assume that α(12,1) and γ>0 are kept fixed, and that the force f(W1,1(2)W1,(2))2 is given and time-independent. The results follow the idea in Constantin–Ramos [5], see also Foias et al. [10, 11, 12] for more details.

3.1 Preliminaries

We start with some properties of the solutions, which are the same as that in [5] for the usual damped and driven Navier–Stokes equation.

Theorem 3.1

Let u0V. Then the solution of (1.1) with initial datum u0 exists for all time, is unique and satisfies the energy equation

(3.1) d 2 d t 2 | u | 2 𝑑 x + γ 2 | u | 2 𝑑 x + ν 2 | Λ α u | 2 𝑑 x = 2 f u 𝑑 x .

The kinetic energy is bounded uniformly in time, with bounds independent of viscosity ν:

(3.2) u ( , t ) L 2 ( 2 ) e - γ t { u 0 L 2 ( 2 ) - 1 γ 2 f L 2 ( 2 ) } + 1 γ 2 f L 2 ( 2 ) .

The vorticity

ω = u = 1 u 2 - 2 u 1

obeys

(3.3) t ω + u ω + γ ω + ν Λ 2 α ω = g

with gL1(2)L(2), g=f. The map

[ 0 , + ) L 2 ( 2 ) , t ω ( t )

is continuous. If the initial vorticity ω0 is in Lp(2),p>1, then the p-enstrophy is bounded uniformly in time, with bounds independent of viscosity:

(3.4) ω ( , t ) L p ( 2 ) e - γ t { ω 0 L p ( 2 ) - 1 γ 2 g L p ( 2 ) } + 1 γ 2 g L p ( 2 )

for p1. Moreover, the positive semi-orbit

O + ( ω ) = { ω = ω ( , t ) t 0 } L 2 ( 2 )

is equi-integrable in L2(2): for every ϵ>0, there exists R>0 such that

(3.5) | x | R | ω ( x , t ) | 2 𝑑 x ϵ

for all t0, where the radius R depends on the coefficients γ,ν,α and ω(x,0).

Proof.

See Lemma 2.1 for the existence and uniqueness of solutions.

The energy equation (3.1) follows from the incompressibility of u and integration by parts. The bounds (3.2) and (3.4) follow from the positivity lemma and an application of the Gronwall inequality; see, for example, Section 4.

In the following, we only prove the equi-integrability (3.5). As in [5], we consider the function

Y R ( t ) = 2 χ ( x R ) ω 2 ( x , t ) 𝑑 x ,

where χ() is a nonnegative smooth function supported in {x2:|x|12} and identically equal to 1 for |x|1. We multiply equation (3.3) by 2χ(xR)ω(x,t) and integrate in space. The only challenging term we encounter is

2 ν 2 Λ 2 α ω ( x ) χ ( x R ) ω ( x , t ) 𝑑 x .

Using Proposition 2.3, we have

2 ν 2 Λ 2 α ω ( x , t ) χ ( x R ) ω ( x , t ) 𝑑 x ν 2 Λ 2 α ( ω 2 ( x , t ) ) ( 1 - ( 1 - χ ( x R ) ) ) 𝑑 x
= - ν 2 ω 2 ( x , t ) Λ 2 α ( 1 - χ ( x R ) ) 𝑑 x ,

where we have used

2 Λ 2 α ( ω 2 ) 𝑑 x = Λ 2 α ( ω 2 ) ^ ( 0 ) = 0

since α>0, and the fact that Λ2α(1-χ(xR)) is well defined because 1-χ(xR)Cc(2). Moreover, it is easy to see that

1 - χ ( x R ) = : ϕ ( x R ) .

In view of

Λ 2 α ( ϕ ( x R ) ) = 1 R 2 α ( Λ 2 α ϕ ) ( x R )

and

| ( Λ 2 α ϕ ) ( x ) | 2 | Λ 2 α ϕ ^ ( ξ ) | 𝑑 ξ = 2 | ξ | 2 α | ϕ ^ ( ξ ) | 𝑑 ξ C 0 ,

we have

(3.6) 2 ν 2 Λ 2 α ω ( x , t ) χ ( x R ) ω ( x , t ) 𝑑 x - C 0 ν R 2 α ω ( , t ) L 2 ( 2 ) 2 .

So we can obtain that

d d t Y R ( t ) + 2 γ Y R ( t ) C R u ( , t ) L 2 ( 2 ) ω ( , t ) L 4 ( 2 ) 2 + C 0 ν R 2 α ω ( , t ) L 2 ( 2 ) 2 + C ( Y R ( t ) | x | R 2 | g ( x ) | 2 𝑑 x ) 1 2 ,

that is,

Y R ( t ) - e - γ t Y R ( 0 ) C R max s [ 0 , t ] { u ( , s ) L 2 ( 2 ) } 0 t e γ ( s - t ) ω ( , s ) L 4 ( 2 ) 2 𝑑 s
(3.7) + C 0 ν γ R 2 α max s [ 0 , t ] { ω ( , s ) L 2 ( 2 ) 2 } + C γ 2 | x | R 2 | g ( x ) | 2 𝑑 x .

On the other hand, multiplying (3.3) by ω(x,t) and integrating in space, we obtain that

d d t 2 | ω ( x , t ) | 2 𝑑 x + 2 γ 2 | ω ( x , t ) | 2 𝑑 x + 2 ν 2 | Λ α ω ( x , t ) | 2 𝑑 x 2 2 | ω ( x , t ) | | g ( x ) | 𝑑 x ,

which implies that, for any t0,

ω ( x , t ) L 2 ( 2 ) 2 + 2 ν 0 t e γ ( s - t ) Λ α ω ( x , s ) L 2 ( 2 ) 2 𝑑 s F <

with a positive constant F which is bounded in terms of γ, gL2(2)2 and ω(x,0)L2(2)2 (but is independent of t). Hence, combining with the embedding HαL4(2) for α>12, we have

(3.8) 0 t e γ ( s - t ) ω ( x , s ) L 4 ( 2 ) 2 𝑑 s C F , ν < for any t 0 .

Therefore, from (3.2), (3.4), (3.8) and the fact that |g|2 is integrable, the right-hand side of (3.7) will be arbitrary small if we take R large enough. Then the equi-integrability (3.5) follows from the fact that YR(0) is small for large R. ∎

Remark 3.2

The vorticity equation (3.3) with a different draft term is a special case of the viscous surface quasi-geostrophic equation, which has been studied by many authors (e.g., see [1, 6, 7, 8] and the references therein). Especially, in [8], Dlotko, Kania and Sun obtained some approximation estimates that may be helpful in considering the inviscid limit problem (as what we do in this section for (1.1)) for the surface quasi-geostrophic equation.

In the following, let γ,ν>0 be fixed. We give some a priori estimates about the vorticity ω(x,t).

We write S(ν)(t,ω0) for the solution of the vorticity equation (3.3) at time t0 which started at time t=0 from the initial data ω0.

Theorem 3.3

Let ω0L2(2), gL2(2) and uL(0,;V). Then for any t0>0, the positive semi-orbit

O + ( t 0 , ω 0 ) = { ω ( , t ) t t 0 }

is relatively compact in L2(2).

The proof of this theorem follows from the equi-integrability (3.5) and Lemma 3.5 below.

Lemma 3.4

Let s0 and ΛsωL2(2). Then for u=12πx|x|2ω, we have Λ1+su(L2(2))2 and

Λ 1 + s u ( L 2 ( 2 ) ) 2 C Λ s ω L 2 ( 2 ) ,

Proof.

Note that u=12πx|x|2ω=Λ-1ω, hence

Λ 1 + s u ( L 2 ( 2 ) ) 2 = Λ s ω ( L 2 ( 2 ) ) 2 C Λ s ω L 2 ( 2 ) ,

where the constant C depends only on the L2-bounds of the Riesz transform . ∎

Lemma 3.5

Let ω0L2(2), gL2(2) and uL(0,;V). Then the solution ω(,t) of (3.3) is uniformly (with respect to tt0 ) bounded in Wα,2(2) for any t0>0.

Proof.

At first, we multiply (3.3) by ω to deduce that

(3.9) 0 t 0 2 | Λ α ω ( x , τ ) | 2 𝑑 x 𝑑 τ M ~ 0 ,

where the constant M~0 depends only on ν, gL2(2) and ω(,0)L2(2).

Secondly, we multiply again the vorticity equation (3.3) by Λ2αω and integrate in space, to get

d 2 d t 2 | Λ α ω | 2 𝑑 x + 2 ( u ω ) Λ 2 α ω 𝑑 x + γ 2 | Λ α ω | 2 𝑑 x + ν 2 | Λ 2 α ω | 2 𝑑 x = 2 g Λ 2 α ω 𝑑 x .

The nonlinear term 2(uω)Λ2αω𝑑x can be estimated as (2.5) and (2.6):

| 2 ( u ω ) Λ 2 α ω 𝑑 x | C u V ω L 2 ( 2 ) 1 - r Λ 2 α ω L 2 ( 2 ) 1 + r

with some positive constant r(0,1). Then, applying the Young inequality, we obtain that

(3.10) d d t 2 | Λ α ω | 2 𝑑 x + 2 γ 2 | Λ α ω | 2 𝑑 x M ~ 1 ,

where the constant M~1 depends on u(,t)V, ω(,t)L2(2), gL2(2) and ν.

Then, combining with (3.4), (3.9), (3.10) and Lemma 3.4, we can finish the proof by applying a Gronwall’s inequality. ∎

Moreover, we have the following a priori estimates.

Lemma 3.6

Let ω0L2(2)L(2), gL1(2)L(2) and uL(0,;V). Then the solution ω(,t) of (3.3) satisfies

ω L ( 2 × ( t 0 , ) )

for any t0>0.

Proof.

The proof is based on an idea of Caffarelli and Vasseur [1]. The details for our case are exactly as in [2, Lemmas 2.2 and 2.3]. Note that our assumptions here are stronger than that required in [2]. ∎

3.2 Stationary Statistical Solutions and Enstrophy Balance

We introduce first the notation of stationary statistical solution for damped and driven generalized incompressible Navier–Stokes equations in the vorticity phase space, in spirit of [5, 10, 11, 12]. The solution is a Borel probability measure in L2(2).

Definition 3.7

A stationary statistical solution of damped and driven generalized incompressible Navier–Stokes equations in the vorticity phase space is a Borel probability measure μ(ν) on L2(2) such that

(3.11) L 2 ( 2 ) ω H α ( 2 ) 2 𝑑 μ ( ν ) ( ω ) <

and

(3.12) L 2 ( 2 ) u ω + γ ω - g , Ψ ( ω ) + ν Λ 2 α ω , Ψ ( ω ) d μ ( ν ) ( ω ) = 0

for any test functional Ψ𝒯, with u=12πx|x|2ω, where we used the notation v,w=2v(x)w(x)𝑑x; and

(3.13) E 1 ω L 2 ( 2 ) E 2 ( γ ω L 2 ( 2 ) 2 + ν Λ α ω L 2 ( 2 ) 2 - g , ω ) 𝑑 μ ( ν ) ( ω ) 0

for any 0E1E2.

The class 𝒯 of cylindrical test functions is given as follows.

Definition 3.8

Definition 3.8 ([12, 5])

The class 𝒯 of test functions is the set of functions Ψ:L2(2) of the form

Ψ ( ω ) := Ψ I ( ω ) = ψ ( ω , 𝐰 1 , , ω , 𝐰 m )

or

Ψ ( ω ) := Ψ ε ( ω ) = ψ ( α ϵ ( ω ) , 𝐰 1 , , α ϵ ( ω ) , 𝐰 m ) ,

where ψ is a C1 scalar valued function defined on m, m, 𝐰1,,𝐰m belong to C02(2) and

α ϵ ( ω ) = J ϵ β ( J ϵ ( ω ) ) ,

where βC3 is a compactly supported function of one real variable, and Jϵ is the convolution operator

J ϵ ( ω ) = j ϵ ω ,

with j0 a fixed smooth, even function supported in |z|1 and with 2j(z)𝑑z=1.

Remark 3.9

We make mathematical sense of the conditions (3.11) and (3.13) in Definition 3.7: the function ωωHα(2)2 is Borel measurable in L2(2) because it is everywhere the limit of a sequence of continuous functions ωJϵωHα(2)2.

Remark 3.10

The support of any stationary statistical solution of damped and driven generalized incompressible Navier–Stokes equations is included in the ball:

supp μ ( ν ) { ω L 2 ( 2 ) : ω L 2 ( 2 ) 1 γ g L 2 ( 2 ) } .

Indeed (note that the following proof differs slightly from that in [5, 12]), set

E = { ω L 2 ( 2 ) : E 1 2 ω L 2 ( 2 ) 2 E 2 2 } .

Then from (3.13) we have

γ E ω L 2 ( 2 ) 2 𝑑 μ ν ( ω ) g L 2 ( 2 ) E ω L 2 ( 2 ) 𝑑 μ ν ( ω )
g L 2 ( 2 ) ( E ω L 2 ( 2 ) 2 𝑑 μ ν ( ω ) ) 1 2 ( mes ( E ) ) 1 2 .

Therefore,

E ω L 2 ( 2 ) 2 𝑑 μ ν ( ω ) g L 2 ( 2 ) 2 γ 2 mes ( E ) ,

which implies immediately that

E ( ω L 2 ( 2 ) 2 - g L 2 ( 2 ) 2 γ 2 ) 𝑑 μ ν ( ω ) 0 .

Thus, we can deduce the support of μν by taking E1=gL2(2)γ in (3.13).

Remark 3.11

The test functions Ψ in Definition 3.8 are locally bounded and weakly sequentially continuous in L2(2).

We can compute Ψ for test functions Ψ𝒯 as follows (see [5]):

Ψ I ( ω ) = j = 1 m j ψ ( ω , 𝐰 1 , , ω , 𝐰 m ) 𝐰 j

and

Ψ ϵ ( ω ) = j = 1 m j ψ ( α ϵ ( ω ) , 𝐰 1 , , α ϵ ( ω ) , 𝐰 m ) ( β ( ω ϵ ) 𝐰 j ϵ ) ϵ .

Next, we state some important properties.

Lemma 3.12

Lemma 3.12 ([5])

Let Ψ𝒯 and ωL2(2). Then Ψ(ω)C02(2). Consider Fi:L2(2), i=1,2,3, given by

F 1 ( ω ) = γ ω - g , Ψ ( ω ) ,
F 2 ( ω ) = Λ α ω , Λ α Ψ ( ω ) ,
F 3 ( ω ) = u ω , Ψ ( ω ) , u = 1 2 π x | x | 2 ω .

Then these three maps are well defined for ωL2(2), locally bounded and weakly continuous in L2(2).

Proof.

The maps F1 and F3 are exactly as in [5]. For F2, we just need to follow the idea of [5]:

The fact that F2(ω) is well defined follows from that Λ2αΨ(ω) is well defined (since Ψ(ω)C02(2) by the fact that 𝐰jC02(2)) and

F 2 ( ω ) = Λ 2 α Ψ ( ω ) , ω .

Concerning the weak continuity of F2, for ΨI, we have

Λ 2 α Ψ I ( ω ) , ω = j = 1 m j ψ ( ω , 𝐰 1 , , ω , 𝐰 m ) Λ 2 α 𝐰 j , ω ,

which is obviously a weakly continuous and locally bounded function of ωL2(2). In the case of Ψϵ, we have

Λ 2 α Ψ ϵ ( ω ) , ω = j = 1 m j ψ ( α ϵ ( ω ) , 𝐰 1 , , α ϵ ( ω ) , 𝐰 m ) Λ 2 α ( β ( ω ϵ ) 𝐰 j ϵ ) ϵ , ω
= j = 1 m j ψ ( α ϵ ( ω ) , 𝐰 1 , , α ϵ ( ω ) , 𝐰 m ) 𝐰 j ϵ , β ( ω ϵ ) Λ 2 α ω ϵ .

If ωiω in L2(2), then ωϵiωϵ and Λ2αωϵiΛ2αωϵ converge pointwise, and they are bounded. Consequently, β(ωϵi)Λ2αωϵi converges pointwise and is uniformly bounded. Therefore we use the Lebesgue dominated convergence theorem and obtain that F2(ω) is weakly continuous. It is also clear that

β ( ω ϵ ) Λ 2 α ω ϵ L 2 ( 2 ) C ϵ ω L 2 ( 2 ) .

Thus, F2() is locally bounded in L2(2). ∎

We define the notation of a renormalized stationary statistical solution of the Euler equation.

Definition 3.13

Definition 3.13 ([5])

A Borel probability measure μ0 on L2(2) is a renormalized stationary statistical solution of the damped and driven Euler equation if

(3.14) L 2 ( 2 ) u ω + γ ω - g , Ψ ( ω ) 𝑑 μ 0 ( ω ) = 0

for any test functional Ψ𝒯, where u=12πx|x|2ω.

We say that a renormalized stationary statistical solution μ0 of the Euler equation satisfies the enstrophy balance if

(3.15) L 2 ( 2 ) ( γ ω L 2 ( 2 ) 2 - g , ω ) 𝑑 μ 0 ( ω ) = 0 .

Theorem 3.14

Let μ(ν) be a sequence of stationary statistical solutions of damped and driven generalized incompressible Navier–Stokes equations in vorticity phase space, with ν0. There exist a subsequence, denoted also μ(ν), and a Borel probability measure μ0 on L2(2) such that

lim ν 0 L 2 ( 2 ) Φ ( ω ) 𝑑 μ ( ν ) ( ω ) = L 2 ( 2 ) Φ ( ω ) 𝑑 μ 0 ( ω )

for all weakly continuous, locally bounded real-valued functions Φ. Furthermore the weak limit measure μ0 is a renormalized stationary statistical solution of the damped and driven Euler equation.

Proof.

By Remark 3.10, the support of μ(ν) is included in

B = { ω L 2 ( 2 ) : ω L 2 ( 2 ) 1 γ g L 2 ( 2 ) } .

The set B endowed with the weak L2(2) topology is a separable metrizable compact space. We apply Prokhorov’s theorem. There exists a subsequence of μ(ν) that converges weakly to a Borel probability measure μ0 in B. So the weak limit μ0 is a Borel probability measure on B. Because B is convex and so weakly closed in L2(2), we can extend the measure μ0 to L2(2) by setting μ0(X)=μ0(XB). We claim that μ0 is a renormalized stationary statistical solution of the damped and driven Euler equation. In order to verify that μ0 satisfies (3.14), take Ψ𝒯. Then for each i=1,2,3, noting that suppμνB, we have

lim ν 0 L 2 ( 2 ) F i ( ω ) 𝑑 μ ( ν ) ( ω ) = L 2 ( 2 ) F i ( ω ) 𝑑 μ 0 ( ω )

in view of Lemma 3.12 (here the limitation limν is taken for the subsequence which is weak convergence). In particular, the sequence L2(2)F2(ω)𝑑μ(ν)(ω) is bounded and so

lim ν 0 ν L 2 ( 2 ) F 2 ( ω ) 𝑑 μ ( ν ) ( ω ) = 0 .

Because μ(ν) are stationary statistical solutions of damped and driven generalized incompressible Navier–Stokes equations, using (3.12), we have

L 2 ( 2 ) ( F 1 ( ω ) + F 3 ( ω ) ) 𝑑 μ ( ν ) ( ω ) = - ν L 2 ( 2 ) F 2 ( ω ) 𝑑 μ ( ν ) ( ω ) .

Passing to the limit ν0, we obtain

L 2 ( 2 ) ( F 1 ( ω ) + F 3 ( ω ) ) 𝑑 μ 0 ( ω ) = 0 .

That is, measure μ0 satisfies condition (3.14), and therefore is a renormalized stationary statistical solution of the damped and driven Euler equation. ∎

We consider the sets

B p ( r ) = { ω B ω L p ( 2 ) r , ω L ( 2 ) r }

defined for r>0, 1p<2.

In exactly the same way as the proof of [5, Theorem 4.7], we can check that if we proved that the limitation μ0 is a renormalized stationary statistical solution of the damped and driven Euler equation and μ0 is supported in some bounded subset, then μ0 must satisfy the enstrophy balance (3.15). Hence, similar to [5, Theorem 4.7], from Theorem 3.14 we also have the following result.

Theorem 3.15

Let μ(ν) be a sequence of stationary statistical solutions of damped and driven generalized incompressible Navier–Stokes equations in vorticity phase space, with ν0. Assume that there exist 1<p<2 and r>0 such that

supp μ ( ν ) B p ( r ) .

Then the limit μ0 of any weakly convergent subsequence is a renormalized stationary statistical solution of the damped and driven Euler equation that is supported in set Bp(r) and satisfies the enstrophy balance (3.15).

3.3 Long Time Averages and the Inviscid Limit

In this subsection we consider the stationary statistical solutions obtained as generalized (Banach) limits of long time averages of functionals of determined solutions of the damped and driven generalized incompressible Navier–Stokes equations. These stationary statistical solutions have enough properties to pass to the inviscid limit and are used to prove that the time averaged enstrophy dissipation vanishes in the zero viscosity limit. We start by recalling the concept of the generalized (Banach) limit (see for example [12]).

Definition 3.16

A generalized limit (Banach limit) is a linear continuous functional

Lim t : 𝒞 ( [ 0 , ) )

such that

  1. Limt(g)0 for all g𝒞([0,)) with g(s)0 for all s0,

  2. Limt(g)=limtg(t), whenever the usual limit exists.

The space 𝒞([0,)) is the Banach space of all bounded continuous real valued functions defined on [0,) endowed with the sup norm.

Remark 3.17

Remark 3.17 ([12])

It can be shown that any generalized limit satisfies

lim inf t g ( t ) Lim t ( g ) lim sup t g ( t ) for all g 𝒞 ( [ 0 , ) ) .

Remark 3.18

Remark 3.18 ([12])

Given a fixed g0𝒞([0,)) and a sequence tj for which limjg0(tj)=l exists, we can construct a generalized limit Limt satisfying Limt(g0)=l. This implies that one can choose a functional Limt so that Limtg0=lim suptg0(t).

We now state the result about long time averages of the damped and driven generalized incompressible Navier–Stokes equations.

Theorem 3.19

Let u0(L2(2))2, u0=ω0L1(2)L(2), fW1,1(2)W1,(2), and Limt be a Banach limit. Given t0>0. Then μν, defined by

(3.16) L 2 ( 2 ) Φ ( ω ) 𝑑 μ ( ν ) ( ω ) = Lim t 1 t 0 t Φ ( S ( ν ) ( s + t 0 , ω 0 ) ) 𝑑 s ,

is a stationary statistical solution of the damped and driven generalized incompressible Navier–Stokes equation in the vorticity phase space, where Φ is a continuous real functional on L2(2). For any p>1 there exists r depending only on γ,f,ω0 but not on ν nor t0 such that

supp μ ( ν ) B p ( r ) .

The following inequality holds:

(3.17) ν L 2 ( 2 ) Λ α ω L 2 ( 2 ) 2 𝑑 μ ( ν ) ( ω ) L 2 ( 2 ) [ g , ω - γ ω L 2 ( 2 ) 2 ] 𝑑 μ ( ν ) ( ω ) .

Proof.

From Theorem 3.3, the positive semi-orbit

O + ( t 0 , ω 0 ) = { ω ( , t ) = S ( μ ) ( t , ω 0 ) t t 0 }

is relatively compact in L2(2). For any ΦC(L2(2)), we have ΦC(O+(t0,ω0)¯) and the function sΦ(S(ν)(s+t0,ω0)) is a continuous bounded function on [0,) and so is its time average on [0,t]. Thus we may apply the generalized limit Limt to it and define the functional

Φ Lim t 1 t 0 t Φ ( S ( ν ) ( s + t 0 , ω 0 ) ) 𝑑 s .

This functional is linear and nonnegative. Hence, applying the Riesz representation theorem on compact spaces, it follows that there exists a Borel measure μ(ν) representing it, that is, (3.16) holds. The measure μ(ν) is supported on O+(t0,ω0)¯. Extend μ(ν) to L2(2) given by μ(ν)(X)=μ(ν)(XO+(t0,ω0)¯), for any X Borelian in L2(2). It follows Theorem 3.1 that the measure μ(ν) is supported in the set Bp(r).

Take a test function Ψ𝒯. Then, noticing that O+(t0,ω0) is precompact in L2(2), we can calculate directly that

L 2 ( 2 ) u ω + γ ω + ν Λ 2 α ω , Ψ ( ω ) 𝑑 μ ( ν ) ( ω ) = Lim t 1 t 0 t d d s Ψ ( S ( ν ) ( s + t 0 , ω 0 ) ) 𝑑 s = 0 ,

where the second equality is due to the boundedness of Ψ on O+(t0,ω0). This verifies (3.12) of Definition 3.7.

In order to verify conditions (3.11) and (3.13) we take solution ω(t)=S(ν)(t,ω0) and mollify it,

ω ϵ ( t ) = J ϵ ( ω ( t ) ) .

We obtain from (3.3) that

d 2 d t ω ϵ ( t ) L 2 ( 2 ) 2 + γ ω ϵ ( t ) L 2 ( 2 ) 2 + ν Λ α ω ϵ ( t ) L 2 ( 2 ) 2 - J ϵ g , ω ϵ ( t ) = ( ρ ϵ ( u ( t ) , ω ( t ) ) , ω ϵ ( t ) ) ,

where we have used the identity in [4] with

ρ ϵ ( u , ω ) = 2 j ( z ) ( u ( x - ϵ z ) - u ( x ) ) ( ω ( x - ϵ z ) - ω ( x ) ) 𝑑 z - ( u - u ϵ ) ( ω - ω ϵ ) .

Integrating in time we deduce

1 t 0 t [ γ ω ϵ ( s + t 0 ) L 2 ( 2 ) 2 + ν Λ α ω ϵ ( s + t 0 ) L 2 ( 2 ) 2 - J ϵ g , ω ϵ ( s + t 0 ) ] 𝑑 s
= 1 2 t [ ω ϵ ( t 0 ) L 2 ( 2 ) 2 - ω ϵ ( t + t 0 ) L 2 ( 2 ) 2 ] + 1 t 0 t ( ρ ϵ ( u ( s + t 0 ) , ω ( s + t 0 ) ) , ω ϵ ( s + t 0 ) ) 𝑑 s .

We apply Limt and from (3.16) we have

L 2 ( 2 ) [ γ ω ϵ L 2 ( 2 ) 2 + ν Λ α ω ϵ L 2 ( 2 ) 2 - J ϵ g , ω ϵ ] 𝑑 μ ( ν ) ( ω )
= Lim t 1 t 0 t ( ρ ϵ ( u ( s + t 0 ) , ω ( s + t 0 ) ) , ω ϵ ( s + t 0 ) ) 𝑑 s .

Similar to [5], noting that iωϵ(x)=2ijϵ(z-x)ω(z)𝑑z (i=1,2), we have

ω ϵ ( t ) L ( 2 ) C j 1 ϵ ω ( t ) L ( 2 )

with the constant Cj depending only on the mollifier j(). For u=(u1,u2)=12πx|x|2ω, we have

u ( - ϵ z ) - u ( ) H c 1 ϵ | z | ( u 1 H + u 2 H ) c 2 ϵ | z | ω L 2 ( 2 ) ,

and obviously

u ( x ) - u ϵ ( x ) = 2 j ( z ) ( u ( x ) - u ( x - ϵ z ) ) 𝑑 z .

Therefore, we have

| ( ρ ϵ ( u ( s + t 0 ) , ω ( s + t 0 ) ) , ω ϵ ( s + t 0 ) ) |
C j 1 ϵ ω ( s + t 0 ) L ( 2 ) ( 2 j ( z ) δ ϵ z ω ( s + t 0 ) L 2 ( 2 ) c 2 ϵ | z | ω ( s + t 0 ) L 2 ( 2 ) d z
    + ω ( s + t 0 ) - ω ϵ ( s + t 0 ) L 2 ( 2 ) 2 j ( z ) c 2 ϵ | z | ω ( s + t 0 ) L 2 ( 2 ) d z )
M ( 2 j ( z ) δ ϵ z ω ( s + t 0 ) L 2 ( 2 ) | z | 𝑑 z + ω ( s + t 0 ) - ω ϵ ( s + t 0 ) L 2 ( 2 ) )
2 M 2 j ( z ) δ ϵ z ω ( s + t 0 ) L 2 ( 2 ) 𝑑 z ,

where δhω(x)=ω(x)-ω(x-h), and M is a constant depending only on ω(s+t0)L(2)ω(s+t0)L2(2). Consequently, we have

| Lim t 1 t 0 t ( ρ ϵ ( u ( s + t 0 ) , ω ( s + t 0 ) ) , ω ϵ ( s + t 0 ) ) 𝑑 s |
(3.18) M Lim t 1 t 0 t 2 j ( z ) δ ϵ z ω ( s + t 0 ) L 2 ( 2 ) 𝑑 z 𝑑 s ,

where M is a bound on sups0ω(s+t0)L(2)ω(s+t0)L2(2).

Note that O+(t0,ω0)¯ is compact in L2(2). Then for every small number h>0 there exists ϵ>0 such that

δ ϵ z ω ( s + t 0 ) L 2 ( 2 ) h

for all s0 and all z in the compact support of j. Therefore we have

(3.19) L 2 ( 2 ) [ γ ω ϵ L 2 ( 2 ) 2 + ν Λ α ω ϵ L 2 ( 2 ) 2 - J ϵ g , ω ϵ ] 𝑑 μ ( ν ) ( ω ) h ( ϵ ) ,

where 0h(ϵ), a function satisfying limϵ0h(ϵ)=0. We remove the mollifier. First we note that

L 2 ( 2 ) ( γ ω L 2 ( 2 ) 2 - g , ω ) 𝑑 μ ( ν ) ( ω ) = lim ϵ 0 L 2 ( 2 ) ( γ ω ϵ L 2 ( 2 ) 2 - J ϵ g , ω ϵ ) 𝑑 μ ( ν ) ( ω )

holds trivially. This, together with (3.19), implies that

ν lim sup ϵ 0 L 2 ( 2 ) Λ α ω ϵ L 2 ( 2 ) 2 𝑑 μ ( ν ) ( ω ) - L 2 ( 2 ) ( γ ω L 2 ( 2 ) 2 - g , ω ) 𝑑 μ ( ν ) ( ω ) .

By Fatou’s lemma, we have

ν L 2 ( 2 ) Λ α ω L 2 ( 2 ) 2 𝑑 μ ( ν ) ( ω ) - L 2 ( 2 ) ( γ ω L 2 ( 2 ) 2 - g , ω ) 𝑑 μ ( ν ) ( ω ) ,

which proves (3.11) and (3.17).

To verify (3.13), we take, similarly to [5], a smooth, nonnegative, compactly supported function χ(y) defined for y0. Then χ(y)=0yχ(x)𝑑x is bounded on + and

d d t χ ( ω ϵ ( t ) L 2 ( 2 ) 2 ) = χ ( ω ϵ ( t ) L 2 ( 2 ) 2 ) d d t ω ϵ ( t ) L 2 ( 2 ) 2 .

We proceed as above by taking time average and long time limit to obtain

1 t 0 t χ ( ω ϵ ( t 0 + s ) L 2 ( 2 ) 2 ) [ γ ω ϵ ( s + t 0 ) L 2 ( 2 ) 2 + ν Λ α ω ϵ ( s + t 0 ) L 2 ( 2 ) 2 - J ϵ g , ω ϵ ( s + t 0 ) ] 𝑑 s
= 1 2 t [ χ ( ω ϵ ( t 0 ) ) L 2 ( 2 ) 2 - χ ( ω ϵ ( t + t 0 ) ) L 2 ( 2 ) 2 ]
    + 1 t 0 t χ ( ω ϵ ( t 0 + s ) L 2 ( 2 ) 2 ) ( ρ ϵ ( u ( s + t 0 ) , ω ( s + t 0 ) ) , ω ϵ ( s + t 0 ) ) 𝑑 s .

Noting that χ() is bounded, we have

| Lim t 1 t 0 t χ ( ω ϵ ( t 0 + s ) L 2 ( 2 ) 2 ) ( ρ ϵ ( u ( s + t 0 ) , ω ( s + t 0 ) ) , ω ϵ ( s + t 0 ) ) 𝑑 s |
c 1 M Lim t 1 t 0 t 2 j ( z ) δ ϵ z ω ( s + t 0 ) L 2 ( 2 ) 𝑑 z 𝑑 s ,

where the constant c1 is the bound of χ(), and the constant M is the same as that in (3.18).

Hence, we can remove the mollifier as above and obtain

L 2 ( 2 ) χ ( ω L 2 ( 2 ) 2 ) ( ν Λ α ω L 2 ( 2 ) 2 + γ ω L 2 ( 2 ) 2 - g , ω ) 𝑑 μ ( ν ) ( ω ) 0 .

Taking χ(y)𝟏[E12,E22] pointwise with 0χ(y)2 and using Fatou’s lemma, we can deduce (3.13) of Definition 3.7. This concludes the proof of Theorem 3.19. ∎

We are now ready to prove our first main result about the inviscid limit.

Proof of Theorem 1.1.

We argue by contradiction and assume the conclusion were false. Then there exist δ>0 and a sequence νk0, and for each νk, there exists a sequence of time tj such that

ν k t j 0 t j Λ α S ( ν k ) ( s + t 0 , ω 0 ) L 2 ( 2 ) 2 𝑑 s δ

for all tj. From the energy estimates of (3.3), we have

δ ν k t j 0 t j Λ α S ( ν k ) ( s + t 0 , ω 0 ) L 2 ( 2 ) 2 𝑑 s
1 t j 0 t j [ - γ S ( ν k ) ( s + t 0 , ω 0 ) L 2 ( 2 ) 2 + g , S ( ν k ) ( s + t 0 , ω 0 ) ] 𝑑 s
+ 1 2 t j [ S ( ν k ) ( t 0 , ω 0 ) L 2 ( 2 ) 2 - S ( ν k ) ( t + t 0 , ω 0 ) L 2 ( 2 ) 2 ] .

It follows that

lim sup t 1 t 0 t [ - γ S ( ν k ) ( s + t 0 , ω 0 ) L 2 ( 2 ) 2 + g , S ( ν k ) ( s + t 0 , ω 0 ) ] 𝑑 s δ .

By Remark 3.18, we can choose a generalized limit Limt such that

Lim t 1 t 0 t [ - γ S ( ν k ) ( s + t 0 , ω 0 ) L 2 ( 2 ) 2 + g , S ( ν k ) ( s + t 0 , ω 0 ) ] 𝑑 s
= lim sup t 1 t 0 t [ - γ S ( ν k ) ( s + t 0 , ω 0 ) L 2 ( 2 ) 2 + g , S ( ν k ) ( s + t 0 , ω 0 ) ] 𝑑 s .

Now, by Theorem 3.19, there exists a stationary statistical solution μ(νk) supported in Bp(r) such that

(3.20) L 2 ( 2 ) ( - γ ω L 2 ( 2 ) 2 + g , ω ) 𝑑 μ ( ν k ) ( ω ) δ > 0 .

Passing to a weakly convergent subsequence, denoted again μ(νk), using Theorems 3.14 and 3.15, we find a renormalized stationary statistical solution μ0 of the damped and driven Euler equation that satisfies enstrophy balance (3.15).

Because the function ωg,ω is weakly continuous, we have

lim k L 2 ( 2 ) g , ω 𝑑 μ ( ν k ) ( ω ) = L 2 ( 2 ) g , ω 𝑑 μ 0 ( ω ) .

On the other hand, by Fatou’s lemma,

γ L 2 ( 2 ) ω L 2 ( 2 ) 2 𝑑 μ 0 ( ω ) γ lim inf k L 2 ( 2 ) ω L 2 ( 2 ) 2 𝑑 μ ( ν k ) ( ω ) .

From (3.20) we obtain

L 2 ( 2 ) ( γ ω L 2 ( 2 ) 2 - g , ω ) 𝑑 μ 0 ( ω ) - δ < 0 ,

contradicting energy dissipation balance (3.15). This concludes the proof of Theorem 1.1. ∎

4 Global Attractor for the GNS Equations

Throughout this section, we assume that α(12,1), ν,γ>0 are kept fixed, the force f(W1,2(2))2 is fixed and time-independent.

4.1 Notation

We first recall in this subsection the notation about global attractor that we will use later; see [18, 20] for more details.

We consider a semigroup {S(t)}t0 on a Banach space X, i.e. a family of mappings S(t):XX, such that

S ( 0 ) = I X and S ( t + s ) = S ( t ) S ( s ) for all s , t [ 0 , ) and x X .

Definition 4.1

Let {S(t)}t0 be a semigroup on a Banach space X. A subset 𝒜X is called a global attractor for the semigroup if 𝒜 is compact in X and enjoys the following properties:

  1. 𝒜 is an invariant set, i.e., S(t)𝒜=𝒜 for any t0;

  2. 𝒜 attracts all bounded sets of X, i.e., for any bounded subset B of X,

    dist ( S ( t ) B , 𝒜 ) 0 , as t ,

    where dist(A,B) is the Hausdorff semidistance of two sets A and B:

    dist ( A , B ) = sup x A inf y B x - y X .

4.2 Global Attractor

According to Lemma 2.1, we can define the operator semigroup {S(t)}t0 on V as follows:

(4.1) S ( t ) u 0 : + × V V , S ( t ) u 0 = u ( t ) ,

where u(t) is the unique solution of (1.1) corresponding to the initial data u0V.

The main result of this subsection is to prove that the semigroup {S(t)}t0 defined by (4.1) has a global attractor in the phase space V, that is:

Theorem 4.2

Theorem 4.2 (Existence)

Let α(12,1), ν,γ>0 and f(W1,2(2))2 be time-independent. Then the semigroup {S(t)}t0 generated by the solutions of (1.1) has a unique global attractor 𝒜 in V.

To prove Theorem 4.2, we need some dissipation estimates.

Lemma 4.3

Under the assumptions of Theorem 4.2, there exists a subset V, which is bounded in H1+α and satisfies the following: for any bounded subset B of V, there exists a tB>0 which depends only on BV such that

S ( t ) B for all t t B .

Proof.

We divide our proof into three steps.

Step 1. Multiplying equation (1.1) by u and integrating in space, we can deduce that

d d t u 2 + 2 γ u 2 + 2 ν Λ α u 2 f u ,

which implies that

u ( t ) 2 + 2 ν 0 t e γ ( s - t ) Λ α u ( s ) 2 𝑑 s e - γ t u ( 0 ) 2 + 1 γ 2 f 2 .

Hence, there exists a constant t1 which depends only on u(0) such that

(4.2) u ( t ) 2 + 2 ν 0 t e γ ( s - t ) Λ α u ( s ) 2 𝑑 s 1 γ 2 f 2 + 1 := M 1 for all t t 1 .

Step 2. Multiplying the vorticity equation (3.3) by ω and integrating over 2, we have

d d t ω 2 + 2 γ ω 2 + 2 ν Λ α ω 2 g ω ,

which, similarly, implies that there exists a constant t2 which depends only on ω(0) and so u(0)V such that

(4.3) ω ( t ) 2 + 2 ν 0 t e γ ( s - t ) Λ α ω ( s ) 2 𝑑 s 1 γ 2 g 2 + 1 := M 2 for all t t 2 .

It follows immediately from (4.2), (4.3) and Lemma 3.4 that

u ( t ) V 2 = u ( t ) 2 + Λ u ( t ) 2 M 1 + C M 2 := M 3 for all t t 1 + t 2 ,

where the constant C comes from Lemma 3.4. Moreover,

(4.4) t t + 1 Λ α ω ( s ) 2 𝑑 s M 2 2 e ν for all t t 2 .

Step 3. Multiplying the vorticity equation (3.3) by Λ2αω and integrating over 2, we obtain, in much the same way as in the proof of Lemma 3.5, that

d d t Λ α ω ( t ) 2 + 2 γ Λ α ω ( t ) 2 M 4 for all t t 1 + t 2 ,

where the positive constant M4 depends only on M2,M3, ν and g. Combined with (4.4), this implies that

Λ α ω ( t ) 2 M 4 2 γ + 1 for all t t 1 + t 2 + 1 2 γ ln M 2 2 e ν .

Therefore, applying Lemma 3.4 again, we can finish our proof by setting

:= { u H 1 + α : u H 1 + α 2 M 1 + C 2 ( M 4 2 γ + 1 ) } and t B = t 1 + t 2 + 1 2 γ ln M 2 2 e ν .

Since the embedding H1+αV is not compact, to deduce the necessary asymptotic compactness, we will use the tail estimates (see Wang [21]).

Lemma 4.4

Under the assumptions of Theorem 4.2, for any ε>0 and any bounded subset BV, there exist TB>0 and KB>0, such that

| x | K B S ( t ) u 0 2 𝑑 x ε

for any tTB and u0B.

Proof.

The proof is standard and similar to the one of Theorem 3.1 (or see Lemma 4.7 below): taking χ() to be a proper nonnegative smooth cut-off function and multiplying equation (1.1) by 2χ(xR)u(x,t), we can finish the proof by applying the Gronwall inequality. ∎

We are now ready to prove Theorem 4.2.

Proof of Theorem 4.2.

Lemma 4.3 implies that {S(t)}t0 has a bounded absorbing set in V; Lemmas 4.3 and 4.4 imply that {S(t)}t0 is asymptotical compact in V. The continuity with respect to initial data in follows from (2.9) and interpolation. Hence, Theorem 4.2 follows from the standard criterion in [18, 20]. ∎

4.3 Finite Dimensionality of the Attractor

In this subsection we prove that the fractal dimension of the global attractor 𝒜 obtained in Theorem 4.2 is finite in H1. We recall that the fractal dimension dimF(Z;X) of a compact set Z in space (topology) X is given by

dim F ( Z ; X ) = lim sup r 0 ln N Z ( r ; X ) - ln r ,

where NZ(r;X) is the minimal number of balls in X of radius r needed to cover Z.

From Lemma 4.3, we know that 𝒜 is bounded in H1+α, consequently, 𝒜 is compact in Hs for any s[0,1], especially, 𝒜 is closed in Hα.

For convenience, we denote by M the H1+α-bounds of 𝒜:

(4.5) M = 𝒜 H 1 + α 2 = sup y 𝒜 y H 1 + α 2 < .

Let u0,v0𝒜, and u(t)=S(t)u0, v(t)=S(t)v0 the corresponding solutions of (1.1). Set w(t)=u(t)-v(t). Then w(t) solves the equation

(4.6) { t w + ν ( - Δ ) α w + w u + v w + γ w + p u - p v = 0 , w = 0 , w ( x , 0 ) = u 0 - v 0 .

Lemma 4.5

There exists a positive constant l1, which depends only on γ,ν and M, such that

(4.7) w ( t ) 2 e l 1 t u 0 - v 0 2 for all t 0 .

Proof.

Multiplying (4.6) by w and integrating in space, we have

d d t w ( t ) 2 + 2 γ w ( t ) 2 + 2 ν Λ α 2 2 2 | w | 2 | u | 𝑑 x ,

in which

2 | w | 2 | u | 𝑑 x u w L 4 ( 2 ) 2 M w 2 r w H α 2 - 2 r l 1 2 w 2 + min { γ , ν } 2 w H α 2 ,

where r(0,1). We have used the invariance of 𝒜 and the fact that α(12,1). The constant l1 depends only on γ,ν and M. Then we have

(4.8) d d t w ( t ) 2 + γ w ( t ) 2 + ν Λ α 2 l 1 w ( t ) 2 .

Thus (4.7) follows by an application of the Gronwall inequality. ∎

Lemma 4.6

There exists a positive constant l2, which depends only on ν,γ and M, such that

(4.9) w ( t ) H α 2 + ν 0 t e γ ( s - t ) w ( s ) H 2 α 2 𝑑 s e - γ t w ( 0 ) H α 2 + l 2 0 t e γ ( s - t ) w ( s ) 2 𝑑 s for all t 0 .

Proof.

Multiplying (4.6) by Λ2αw and integrating over 2, we have

(4.10) 1 2 d d t Λ α w ( t ) 2 + γ Λ α w ( t ) 2 + ν Λ 2 α w 2 2 | w | | u | | Λ 2 α w | 𝑑 x + 2 | v | | w | | Λ 2 α w | 𝑑 x .

Applying the embedding H1+αL(2) and the interpolation, we have

2 | v | | w | | Λ 2 α w | 𝑑 x M w Λ 2 α w M w r w H 2 α 2 - r
(4.11) C M , ν , γ w 2 + min { ν , γ } 4 w H 2 α 2 .

Similarly, applying the embedding HαL4(2) and the interpolation, we have

2 | w | | u | | Λ 2 α w | 𝑑 x w L 4 ( 2 ) u L 4 ( 2 ) Λ 2 α w M w L 4 ( 2 ) Λ 2 α w
(4.12) C M , ν , γ ′′ w 2 + min { ν , γ } 4 w H 2 α 2 .

Inserting (4.11) and (4.12) into (4.10), and combining with (4.8), we obtain that

d d t w ( t ) H α 2 + γ w ( t ) H α 2 + ν w ( t ) H 2 α 2 l 2 w 2 ,

which, applying the Gronwall inequality, implies (4.9) immediately. Here the constant l2 depends only on l1, ν, γ, CM,ν,γ and CM,ν,γ′′. ∎

We also need the following a priori estimates to overcome the difficulty arising from the unboundedness of the spatial domain.

Lemma 4.7

There exist t*>0 and k*1, such that

(4.13) w ( t ) H α 2 + 0 t e γ ( s - t ) w t ( s ) 2 𝑑 s + ν 0 t e γ ( s - t ) w ( s ) H 2 α 2 𝑑 s a ( t ) w ( 0 ) H α 2 + E w ( t , k * ) for any t 0 ,

where a():[0,)[0,) is continuous and satisfies

(4.14) a ( t * ) + a ( 2 t * ) 1 2 ,

and

(4.15) E w ( t , k ) = l 2 ( 1 + l 3 ν ) 0 t e γ ( s - t ) | x | 2 k | w ( x , s ) | 2 𝑑 x 𝑑 s ,

where the constant l2 comes from Lemma 4.6, and l3 is a constant that depends only on M,ν,γ.

Proof.

We divide our proof into three steps.

Step 1. Take χ() to be a nonnegative smooth function supported in {x2:|x|1} and identically equal to 1 for |x|2.

Multiplying equation (4.6) by 2χ(xk)w(x,t) and integrating in space, we obtain that

(4.16) d d t 2 χ ( x k ) | w | 2 𝑑 x + 2 γ 2 χ ( x k ) | w | 2 𝑑 x C 0 ν k 2 α w 2 + 2 2 χ ( x k ) | w | 2 | u | 𝑑 x ,

where we have used an estimate similar to (3.6) for dealing with the fractional term Λ2αw and the fact b(v,w,χ(xk)w)=b(χ(xk)v,w,w)=0. At the same time, using again that α>12, we have

(4.17) 2 χ ( x k ) | w | 2 | u | 𝑑 x ( | x | k | u | 2 𝑑 x ) 1 2 w L 4 ( 2 ) 2 c 0 ( | x | k | u | 2 𝑑 x ) 1 2 w H α 2 ,

where the constant c0 is the embedding constant for HαL4(2).

Consequently, from (4.16) and (4.17), as k is large enough such that k2αC0νγ, by applying the Gronwall inequality, we have

(4.18) | x | 2 k | w ( t ) | 2 𝑑 x 2 χ ( x k ) | w ( t ) | 2 𝑑 x e - γ t w ( 0 ) 2 + 2 c 0 0 t e γ ( s - t ) ( | x | k | u ( s ) | 2 𝑑 x ) 1 2 w ( s ) H α 2 𝑑 s .

On the other hand, from (4.7) and (4.9), we have

(4.19) w ( t ) H α 2 e - γ t w ( 0 ) H α 2 + l 2 l 1 e l 1 t w ( 0 ) 2 ( 1 + l 2 l 1 e l 1 t ) w ( 0 ) H α 2 .

We denote

I k := max v 𝒜 | x | k | v ( x ) | 2 𝑑 x .

Then, combining with the invariance of 𝒜, as k2αC0νγ, from (4.7), (4.18) and (4.19), we have

(4.20) | x | 2 k | w ( t ) | 2 𝑑 x e - γ t w ( 0 ) 2 + 2 c 0 γ ( 1 + l 2 l 1 e l 1 t ) I k w ( 0 ) H α 2 .

Step 2. Denote by , the dual product between H and H (=H). Then, for any φH, from equation (4.6) we deduce that

| w t ( s ) , φ | ( γ w ( s ) + ν Λ 2 α w ( s ) ) φ + ( w ( s ) L 4 ( 2 ) u ( s ) L 4 ( 2 ) + v L ( 2 ) w ( s ) ) φ ,

as that for (4.11) and (4.12), we can deduce that

| w t ( s ) , φ | ( γ w ( s ) + ν Λ 2 α w ( s ) ) φ + l 3 w ( s ) H 2 α φ

for some constant l3 that depends only on M. Then, combining with (4.9), we have

(4.21) 0 t e γ ( s - t ) w t ( s ) 2 𝑑 s C γ , ν , l 3 0 t e γ ( s - t ) w ( s ) H 2 α 2 𝑑 s := l 3 0 t e γ ( s - t ) w ( s ) H 2 α 2 𝑑 s .

Step 3. Now, returning to (4.9), we have

w ( t ) H α 2 + ν 0 t e γ ( s - t ) w ( s ) H 2 α 2 𝑑 s
(4.22) e - γ t w ( 0 ) H α 2 + l 2 0 t e γ ( s - t ) | x | 2 k | w ( x , s ) | 2 𝑑 x 𝑑 s + l 2 0 t e γ ( s - t ) | x | 2 k | w ( x , s ) | 2 𝑑 x 𝑑 s .

We set

(4.23) E ( t , k ) = e - γ t + l 2 t e - γ t + 2 l 2 c 0 t γ ( 1 + l 2 l 1 e l 1 t ) I k

and

E ( t , k ) = ( 1 + l 3 ν ) E ( t , k ) .

Then, from (4.21), (4.22) and (4.20), we have

(4.24) w ( t ) H α 2 + 0 t e γ ( s - t ) w t ( s ) 2 𝑑 s + ν 0 t e γ ( s - t ) w ( s ) H 2 α 2 𝑑 s E ( t , k ) w ( 0 ) H α 2 + E w ( t , k )

for all t0.

Since 𝒜 is compact in V, we have Ik0 as k; thus, in (4.23), we can first take t large enough, e.g., t=t*>0, and then take k large enough, e.g., k=k*1, such that

E ( t * , k * ) 1 4 and E ( 2 t * , k * ) 1 4 .

Thus, we can finish the proof of (4.24) by taking a(s)=E(s,k*). ∎

We are now ready to state and prove the main result of this subsection.

Theorem 4.8

Theorem 4.8 (Finite dimensionality)

The fractal dimension of the global attractor 𝒜 (obtained in Theorem 4.2) is finite in H1.

Proof.

The proof is based on the idea of l-trajectories, see [17]; here we use also a criterion given in [3], namely [3, Theorem 2.15].

Let t* and k* be the constants given in Lemma 4.7.

Define the space WL2(0,t*;(L2(2))2) as follows:

W = { ϕ L 2 ( 0 , t * ; ( L 2 ( 2 ) ) 2 ) : 0 t * e γ ( s - t * ) 2 ( | Λ 2 α ϕ ( x , s ) | 2 + | ϕ t ( x , s ) | 2 ) 𝑑 x 𝑑 s < } ,

endowed with the norm

ϕ W 2 = 0 t * e γ ( s - t * ) ( ν ϕ ( s ) H 2 α 2 + ϕ t ( s ) ( L 2 ( 2 ) ) 2 2 ) 𝑑 s .

Then (W,W) is a Banach space.

Define

X = H α × W ,

endowed with the norm

( y , z ) X 2 = y H α 2 + z W 2 for all ( y , z ) X .

For the global attractor 𝒜 given in Theorem 4.2, define

𝒜 t * = { ( u 0 , l ( u 0 ) ) : u 0 𝒜 , l ( u 0 ) = { S ( s ) u 0 : s [ 0 , t * ] } } ;

and define the mapping on 𝒜t* as follows:

: 𝒜 t * X , ( u 0 , l ( u 0 ) ) = ( S ( t * ) u 0 , l ( S ( t * ) u 0 ) ) for all ( u 0 , l ( u 0 ) ) 𝒜 t * .

From the invariance and compactness of 𝒜 and Lemma 4.7, we have that 𝒜t* is a closed in X and 𝒜t*=𝒜t*.

For any (u0,l(u0)),(v0,l(v0))𝒜t*, we have

( u 0 , l ( u 0 ) ) - ( v 0 , l ( v 0 ) ) X 2
= S ( t * ) u 0 - S ( t * ) v 0 H α 2
    + 0 t * e γ ( s - t * ) ( ν S ( s + t * ) u 0 - S ( s + t * ) v 0 H 2 α 2 + ( S ( s + t * ) u 0 - S ( s + t * ) v 0 ) t 2 ) 𝑑 s
= S ( t * ) u 0 - S ( t * ) v 0 H α 2 + t * 2 t * e γ ( s - 2 t * ) ( ν S ( s ) u 0 - S ( s ) v 0 H 2 α 2 + ( S ( s ) u 0 - S ( s ) v 0 ) t 2 ) 𝑑 s
= I 1 + I 2 ,

where, from Lemma 4.7, we have

I 1 a ( t * ) u 0 - v 0 H α 2 + l 2 ( 1 + l 3 ν ) 0 t * e γ ( s - t * ) | x | 2 k * | S ( s ) u 0 - S ( s ) v 0 | 2 𝑑 x 𝑑 s

and

I 2 0 2 t * e γ ( s - 2 t * ) ( ν S ( s ) u 0 - S ( s ) v 0 H 2 α 2 + ( S ( s ) u 0 - S ( s ) v 0 ) t 2 ) 𝑑 s
a ( 2 t * ) u 0 - v 0 H α 2 + l 2 ( 1 + l 3 ν ) 0 2 t * e γ ( s - 2 t * ) | x | 2 k * | S ( s ) u 0 - S ( s ) v 0 | 2 𝑑 x 𝑑 s
a ( 2 t * ) u 0 - v 0 H α 2 + l 2 ( 1 + l 3 ν ) e - γ t * 0 t * e γ ( s - t * ) | x | 2 k * | S ( s ) u 0 - S ( s ) v 0 | 2 𝑑 x 𝑑 s
+ l 2 ( 1 + l 3 ν ) 0 t * e γ ( s - t * ) | x | 2 k * | S ( t * + s ) u 0 - S ( t * + s ) v 0 | 2 𝑑 x 𝑑 s .

Therefore,

( u 0 , l ( u 0 ) ) - ( v 0 , l ( v 0 ) ) X 2 ( a ( t * ) + a ( 2 t * ) ) u 0 - v 0 H α 2
+ l 2 ( 1 + l 3 ν ) ( 1 + e - γ t * ) 0 t * e γ ( s - t * ) | x | 2 k * | S ( s ) u 0 - S ( s ) v 0 | 2 𝑑 x 𝑑 s
+ l 2 ( 1 + l 3 ν ) 0 t * e γ ( s - t * ) | x | 2 k * | S ( t * + s ) u 0 - S ( t * + s ) v 0 | 2 𝑑 x 𝑑 s
( a ( t * ) + a ( 2 t * ) ) ( u 0 , l ( u 0 ) ) - ( v 0 , l ( v 0 ) ) X 2
+ l 2 ( 1 + l 3 ν ) ( 1 + e - γ t * ) ( u 0 , l ( u 0 ) ) - ( v 0 , l ( v 0 ) ) c 2
(4.25) + l 2 ( 1 + l 3 ν ) ( u 0 , l ( u 0 ) ) - ( v 0 , l ( v 0 ) ) c 2 ,

where c is the compact seminorm on X defined as follows (a seminorm c on X is said to be compact iff for any bounded set BX there exists a sequence {ψn}B such that ψn-ψmc0 as m,n):

( v 0 , z ( ) ) c 2 := 0 t * e γ ( s - t * ) | x | 2 k * | z ( x , s ) | 2 𝑑 x 𝑑 s for all ( v 0 , z ( ) ) X .

At the same time, combining (4.7) with the first inequality of (4.25), it is easy to see the following Lipschitz continuity:

( u 0 , l ( u 0 ) ) - ( v 0 , l ( v 0 ) ) X 2 ( a ( t * ) + a ( 2 t * ) ) u 0 - v 0 H α 2
+ l 2 ( 1 + l 3 ν ) ( 1 + e - γ t * + e l 1 t * ) 0 t * e γ ( s - t * ) | x | 2 k * | S ( s ) u 0 - S ( s ) v 0 | 2 𝑑 x 𝑑 s
(4.26) L ( u 0 , l ( u 0 ) ) - ( v 0 , l ( v 0 ) ) X 2 ,

where the constant L depends only on li,γ,ν and t*.

Note that a(t*)+a(2t*)12. By (4.25) and (4.26), we have verified all conditions in [3, Theorem 2.15] for the mapping on 𝒜t*. Thus 𝒜t* is compact in X and has finite fractal dimension.

Finally, note that the canonical projection P:XHα defined as P(y,z)=y is obviously Lipschitz with Lipschitz constant 1 and 𝒜=P𝒜t*. We thus have

dim F ( 𝒜 ; H α ) dim F ( 𝒜 t * ; X ) < ,

and the finite dimensionality in H1 follows immediately by (4.5) and interpolation. ∎

Proof of Theorem 1.2.

It is a direct result of Theorems 4.2 and 4.8. ∎

5 Some Remarks

For the vorticity equation (3.3), as the viscosity parameter ν>0 is kept fixed, under the same assumptions about the forcing term and initial data as in Section 3, i.e., gL1(2)L(2) and ω0L2(2), and proceeding as in Section 4, we can also obtain a compact global attractor 𝒜(ν)L2(2) for the corresponding semigroup {S(ν)(t)}t0 in the phase space L2(2). The necessary asymptotical compactness follows from Lemma 3.5 and the fact that the estimates in (3.7) depends only on the L2(2)-size of initial data (which will deduce the tail estimate for {S(ν)(t)}t0 in L2(2)). Moreover, the stationary statistical solution μ(ν) obtained in Theorem 3.19 will support in 𝒜(ν) for each ν>0.

Concerning the fractal dimension of 𝒜 in Theorem 4.8, we indeed (e.g., by checking the general criteria presented in [3, 17]) can give an upper bound which depends explicitly on the parameters in (4.13)–(4.15) (which depend on γ, ν and the size of the forcing term f).

The assumption α>12 (used, e.g., in Lemma 2.1 and subsequently) is essential in this paper. Hence, how to obtain the same results as that in Sections 3 and 4 for the case α=12 would be more interesting and challenging.

Award Identifier / Grant number: 91130005

Award Identifier / Grant number: 11271052

Award Identifier / Grant number: 11471148

Award Identifier / Grant number: 11522109

Funding statement: The second author acknowledges the support of the 973 Program (no. 2013CB834100) and the NSFC grants 91130005 and 11271052. The fourth author acknowledges the support of the NSFC grants 11471148 and 11522109.

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Received: 2015-05-28
Accepted: 2015-08-04
Published Online: 2016-04-06
Published in Print: 2016-05-01

© 2016 by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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