In this article, the global well-posedness of weak solutions for 2D non-autonomous g-Navier-Stokes equations on some bounded domains were investigated by the Faedo-Galerkin method. Then the existence of pullback attractors for 2D g-Navier-Stokes equations with nonlinear damping and time delay was obtained using the method of pullback condition (PC).
Citation: Xiaoxia Wang, Jinping Jiang. The pullback attractor for the 2D g-Navier-Stokes equation with nonlinear damping and time delay[J]. AIMS Mathematics, 2023, 8(11): 26650-26664. doi: 10.3934/math.20231363
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In this article, the global well-posedness of weak solutions for 2D non-autonomous g-Navier-Stokes equations on some bounded domains were investigated by the Faedo-Galerkin method. Then the existence of pullback attractors for 2D g-Navier-Stokes equations with nonlinear damping and time delay was obtained using the method of pullback condition (PC).
It is well-known that the Navier-Stokes equations are important in fluid mechanics and turbulence. In the last decades, the research of the asymptotic properties of the solution for Navier-Stokes equations has attracted the attention of scholars [1,2,3,4,5]. Especially in the past years, the Navier-Stokes equations with nonlinear damping have been studied [6,7,8,9], where the damping comes from the resistance to the motion of the flow. It describes various physical situations such as porous media flow, drag or friction effects and some dissipative mechanisms. In [6], Cai and Jiu considered the following Navier-Stokes equations with damping:
ut−μΔu+(u⋅∇)u+α|u|β−1u+∇p=0,(x,t)∈R3×(0,T),divu=0,(x,t)∈R3×[0,T),u|t=0=u0,x∈R3,|u|→0,|x|→∞, | (1.1) |
where α|u|β−1u is nonlinear damping and β is damping exponent. For any β≥1, the global weak solutions of the Navier-Stokes equations with damping α|u|β−1u(α>0) is obtained, and for any 72≤β≤5, the existence and uniqueness of strong solution is proved. Furthermore, the existence and uniqueness of strong solution is proved for any 3≤β≤5 in [7], the L2 decay of weak solutions with β≥103 is studied and the optimal upper bounds of the higher-order derivative of the strong solution is proved in [8]. In recent years, Song et al. researched the following non-autonomous 3D Navier-Stokes equation with nonlinear damping:
ut−μΔu+(u⋅∇)u+α|u|β−1u+∇p=f(x,t),x∈Ω,t>τ,divu=0,x∈Ω,t>τ,u|t=τ=uτ,x∈Ω,|u|∂Ω=0,t>τ. | (1.2) |
The existence of pullback attractors for the 3D Navier-Stokes equations with damping α|u|β−1u(α>0,3≤β≤5) were proved in [9]. Furthermore, Baranovskii and Artemov investigated the solvability of the steady-state flow model for low-concentrated aqueous polymer solutions with a damping term in a bounded domain under the no-slip boundary condition in [10]. They proved that the obtained solutions of the original problem converged to a solution of the steady-state damped Navier-Stokes system as the relaxation viscosity tends to zero.
The research of the 2D g-Navier-Stokes equations is originated from the 3D Navier-Stokes equations on thin region. Its form is as follows:
∂u∂t−μΔu+(u⋅∇)u+∇p=finΩ,∇⋅(gu)=0inΩ, | (1.3) |
where g=g(x1,x2) is a suitable smooth real-valued function defined on (x1,x2)∈Ω and Ω is a suitable bounded domain in R2. In [11], by the vertical mean operator, the 2D g-Navier-Stokes equations are derived from 3D Navier-Stokes equations. We study the 2D g-Navier-Stokes equations as a small perturbation of the usual Navier-Stokes equations, so we want to understand the Navier-Stokes equations completely by studying the 2D g-Navier-Stokes equations systematically. Therefore, the research on the g-Navier-Stokes equations has theoretical basis and practical significance.
There are many studies on g-Navier-Stokes equations [12,13,14,15,16,17,18], such as in [12], where Roh showed the existence of the global attractors for the periodic boundary conditions and proved the semiflows was robust with respect to g. The existence and uniqueness of solutions of g-Navier-Stokes equations were proved on R2 for n = 2, 3 in [13]. Moreover, the existence of global solutions and the global attractor for the spatial periodic and Dirichlet boundary conditions were proved and the dimension of the global attractor was estimated in [14]. On the other hand, the global attractor of g-Navier-Stokes equations with linear dampness on R2 were proved. The estimation of the Hausdorff and Fractal dimensions were also obtained in [15]. We investigated the existence of pullback attractors for the 2D non-autonomous g-Navier-Stokes equations on some bounded domains in [16]. D. T. Quyet proved the existence of pullback attractor in Vg for the continuous process in [17]. Recently, we discussed the uniform attractor of g-Navier-Stokes equations with weak dampnesss and time delay in [18], and the corresponding equations have the following forms:
∂u∂t−νΔu+(u⋅∇)u+αu+∇p=f(x,t)+h(t,ut)on(τ,∞)×Ω,∇⋅(gu)=0on(τ,∞)×∂Ω,u(x,t)=0onτ,∞)×∂Ω,u(τ,x)=u0(x),x∈Ω. | (1.4) |
For the equation with the restriction of the forcing term f belonging to translational compacted function space, we proved the existence of the uniform attractor by the method of asymptotic compactness. However, as far as we know, the pullback attractor of g-Navier-Stokes equations with nonlinear damping α|u|β−1u and time delay h(t,ut) have not been studied, so this is the main motivation of our research.
In this article, we will study pullback asymptotic behavior of solution for the g-Navier-Stokes equations which has nonlinear damping and time delay on some bounded domain Ω⊂R2, and the usual form as follows:
∂u∂t−νΔu+(u⋅∇)u+c|u|β−1u+∇p=f(x,t)+h(t,ut)inΩ×(0,∞),∇⋅(gu)=0inΩ×(0,∞),u(x,t)=0on∂Ω,u(x,0)=u0(x)inΩ, | (1.5) |
where p(x,t)∈R and u(x,t)∈R2 denote the pressure and the velocity respectively, ν>0 and c|u|β−1u is nonlinear damping, β is the damping exponent, β≥1 and c>0 are constant, 0<m0≤g=g(x1,x2)≤M0, g=g(x1,x2) is a real-valued smooth function. When g=1, Eq (1.5) become the usual two dimensional Navier-Stokes equations with nonlinear damping and time delay. f=f(x,t) is the external force, h(t,ut) is another external force term with time delay, ut is the function defined by the relation ut(θ)=u(t+θ),∀θ∈(−r,0), r>0 is constant. For the 2D g-Navier-Stokes equations can be seen as a small perturbation of the usual Navier-Stokes equations, so the 2D g-Navier-Stokes equations with nonlinear damping and time delay can be used to describe a certain state of fluid affected by external resistance and historical status. The nonlinear damping term c|u|β−1u in the balance of linear momentum realizes an absorption if c<0 and a nonlinear source if c>0.
By the Faedo-Galerkin method in [19,20], we investigate the global well-posedness of weak solutions for 2D non-autonomous g-Navier-Stokes equations with nonlinear damping and time delay in this article. Then, we prove the existence of pullback attractors using θ-cocycle and the method of pullback condition (PC). Compared with [18], the methods and conclusions are completely different, which can be seen as a further study of related issues. On this basis, inspired by [21,22,23], we can further use the pullback attractor to construct the invariant measures and statistical solutions of 2D g-Navier-Stokes equations and study their statistical solution, invariant sample measures and Liouville type theorem in the future.
The outline of the article is as follows. In the next section, we provide basic definitions and results we use in this article. In Section 3, we prove the global well-posedness of weak solutions and the existence of pullback attractors for 2D non-autonomous g-Navier-Stokes equations with nonlinear damping and time delay. In Section 4, we give some relevant conclusion.
We define L2(g)=(L2(Ω))2 and H10(g)=(H10(Ω))2, the inner product of L2(g) is (u,v)=∫Ωu⋅vgdx and inner product of H10(g) is ((u,v))=∫ΩΣ2j=1∇uj⋅∇vjgdx, corresponding norm is |⋅|=(⋅,⋅)1/2 and ||⋅||=((⋅,⋅))1/2 respectively.
Let M={v∈(D(Ω))2:∇⋅gv=0inΩ}; Hg=closureofMinL2(g); Vg=closureofMinH10(g). Furthermore, Hg is endowed with the inner product and norm of L2(g), Vg is endowed with the inner product and norm of H10(g), where D(Ω) is the space of C∞ functions which have compact support contained in Ω, and CHg=C0([−h,0];Hg),CVg=C0([−h,0];Vg).
Let h:R×CHg→(L2(Ω))2 satisfies the following assumptions:
(I) ∀ξ∈CHg,t∈R→h(t,ξ)∈(L2(Ω))2 is measureable;
(II) ∀t∈R,h(t,0)=0;
(III) ∃Lg>0, such that ∀t∈R,∀ξ,η∈CHg, there is |h(t,ξ)−h(t,η)|≤Lg||ξ−η||CHg;
(IV) ∃m0≥0,Cg>0,∀m∈[0,m0],τ≤t,u,v∈C0([τ−r,t];Hg), such that
∫tτems|h(s,us)−h(s,vs)|2ds≤C2g∫tτ−rems|u(s)−v(s)|2ds. |
∀t∈[τ,T], ∀u,v∈L2(τ−r,T;Hg), from (IV), we have
∫tτ|h(s,us)−h(s,vs)|2(L2(Ω))2ds≤C2g∫tτ−r|u(s)−v(s)|2ds. |
Since the Poincaré inequality holds on Ω: There exists λ1>0 such that
∫Ωϕ2gdx≤1λ1∫Ω|∇ϕ|2gdx,∀ϕ∈H10(Ω), | (2.1) |
then,
|u|2≤1λ1||u||2,∀u∈Vg. | (2.2) |
The g-Laplacian operator is defined as follows:
−Δgu=−1g(∇⋅g∇)u=−Δu−1g∇g⋅∇u, |
the first equation of (1.5) can be rewritten as follows:
∂u∂t−νΔgu+ν∇gg⋅∇u+(u,∇)u+c|u|β−1u+∇p=f+h(t,ut). | (2.3) |
A g-orthogonal projection is defined by Pg:L2(g)→Hg and g-Stokes operator with Agu=−Pg(1g(∇⋅(g∇u))). Applying the projection Pg to (1.5), ∀v∈Vg,∀t>0, we obtain
ddt(u,v)+ν((u,v))+bg(u,u,v)+c(|u|β−1u,v)+ν(Ru,v)=⟨f,v⟩+⟨h(t,ut),v⟩, | (2.4) |
u(0)=u0, | (2.5) |
where bg:Vg×Vg×Vg→R, and bg(u,v,w)=∑2i,j=1∫ui∂vj∂xwjgdx, Ru=Pg[1g(∇g⋅∇)u],∀u∈Vg. Let G(u)=PgF(u),F(u)=c|u|β−1u, then the formulations (2.4) and (2.5) are equivalent to the following equations:
dudt+νAgu+Bu+G(u)+νRu=f+h, | (2.6) |
u(0)=u0, | (2.7) |
where Ag:Vg→V′g, ⟨Agu,v⟩=((u,v)),∀u,v∈Vg, and B(u)=B(u,u)=Pg(u⋅∇)u is a bilinear operator, and B:Vg×Vg→V′g with ⟨B(u,v),w⟩=bg(u,v,w),∀u,v,w∈Vg.
For any u,v∈D(Ag), |B(u,v)|≤C|u|1/2|Agu|1/2||v||, where C denote positive constants. From [11,12], we have the following inequality:
|φ|L∞(Ω)2≤C||φ||(1+ln|Agφ|2λ1||φ||2)1/2,∀φ∈D(Ag), | (2.8) |
|B(u,v)|≤|(u⋅∇)v|≤|u|L∞(Ω)|∇v|, | (2.9) |
|B(u,v)|≤C||u||||v||(1+ln|Agu|2λ1||u||2)1/2, | (2.10) |
||B(u)||V′g≤c|u|||u||,||Ru||V′g≤|∇g|∞m0λ1/21||u||,∀u∈Vg. | (2.11) |
From [3,4,16], we have the following concepts and conclusions.
Let Γ be a nonempty set and we define a family {θt}t∈R of mappings θt:Γ→Γ satisfying
(1) θ0γ=γ for all γ∈Γ,
(2) θt(θτγ)=θt+τγ for all γ∈Γ,t,τ∈R,
then the operators θt are called the shift operators.
Let X be a metric space, for any (γ,x)∈Γ×X and t,τ∈R+, ϕ:R+×Γ×X→X is said a θ-cocycle on X if and only if
(1) ϕ(0,γ,x)=x,
(2) ϕ(t+τ,γ,x)=ϕ(t,θτγ,ϕ(τ,γ,x)), where θt is the shift operators.
If for all (t,γ)∈R+×Γ, we have the mapping ϕ(t,γ,⋅):X→X is continuous, then the θ-cocycle ϕ is said to be continuous.
Definition 2.1. [3] A family ˜A={A(γ);γ∈Γ}∈ϕ is said to be pullback D-attractor if it satisfies
(1) A(γ) is compact for any γ∈Γ,
(2) ˜A is pullback D-attracting, i.e.,
limt→+∞dist(ϕ(t,θ−tγ,D(θ−tγ)),A(γ))=0forall˜D∈D,γ∈Γ, |
(3) ˜A is invariant, i.e.,
ϕ(t,γ,A(γ))=A(θtγ)forany(t,γ)∈R+×Γ. |
Definition 2.2. [4] Let ϕ be a θ-cocycle on X. A set B0⊂X is said to be uniformly absorbing set for ϕ, if for any B∈B(X) there exists T0=T0(B)∈R+ such that
ϕ(t,γ,B)⊂B0forallt≥T0,γ∈Γ. |
Theorem 2.1. [4] Let ϕ be a θ-cocycle on X. If ϕ is continuous and possesses a uniformly absorbing set B0, then ϕ possesses a pullback attractor A={Aγ}γ∈Γ if and only if it is pullback ω-limit compact.
Definition 2.3. [4] Let ϕ be a θ-cocycle on X. A cocycle ϕ is said to be satisfying pullback condition if for any γ∈Γ,B∈B(X) and ε>0, there exist t0=t0(γ,B,ε)≥0 and a finite dimensional subspace X1 of X such that
(1) P(⋃t≥t0ϕ(t,θ−t(γ),B)) is bounded,
(2) ||(I−P)(⋃t≥t0ϕ(t,θ−t(γ),x)||≤ε,∀x∈B,
where P:X→X1 is a bounded projector.
Theorem 2.2. [4] Let X be a Banach space and let ϕ be a θ-cocycle on X. If ϕ satisfies pullback condition, then ϕ is pullback ω-limit compact. Moreover, let X is a uniformly convex Banach space, then ϕ is pullback ω-limit compact if and only if pullback condition holds true.
We denote the metrizable space of function f(s)∈X with s∈R by L2loc(R,X), where X is locally two-power integrable in the Bochner sense. It is equipped with the local two-power mean convergence topology.
Lemma 2.1. [16] If Hg is Hilbert space and {ωi}i∈N is orthonormal in Hg, let f(x,t)∈L2loc(R;Hg) and there exists a σ>0, such that for any t∈R, ∫t−∞eσs||f(x,s)||2Hgds<∞, then,
limn→∞∫t−∞eσs||(I−Pm)f(x,s)||2Hgds=0,∀t∈R, |
where Pm:Hg→span{ω1,…,ωn} be an orthogonal projector.
In the section, we will prove the well-posedness of the weak solution for 2D g-Navier-Stokes equations with nonlinear damping and time delay by the Faedo-Galerkin method.
Definition 3.1. Let u0∈Hg,f∈L2Loc(R;V′g), for any τ∈R, u∈L∞(τ,T;Vg)∩L2(τ,T;Vg)∩Lβ+1(τ,T;Lβ+1(Ω)),∀T>τ is called a weak solution of problem (1.5) if it fulfils
ddtu(t)+νAgu(t)+B(u(t))+c|u|β−1u+νR(u(t))=f(x,t)+h(t,ut)onD′(τ,+∞;V′g), |
u(τ)=u0. |
Theorem 3.1. Let β≥1, f∈L2Loc(R;V′g), then for every uτ∈Vg, the Eq (1.5) exist the only weak solution u(t)=u(t;τ,uτ)∈L∞(τ,T;Vg)∩L2(τ,T;Vg)∩Lβ+1(τ,T;Lβ+1(Ω)), and u(t) continuously depends on the initial value in Vg.
Proof. Let {wj}j≥1 be the eigenfunctions of −Δ on Ω with homogeneous Dirichlet boundary conditions, its corresponding eigenvalues are 0<λ1≤λ2≤…, obviously, {wj}j≥1⊂Vg forms a Hilbert basis in Hg, given uτ∈Vg and f∈L2Loc(R;V′g).
For every positive integer n≥1, we structure the Galerkin approximate solutions as un(t)=un(t;T,uτ). It has the following form:
un(t;T,uτ)=n∑j=1γn,j(t)wj, |
where γn,j(t) is determined from the initial values of the following system of nonlinear ordinary differential equations:
(u′n(t),wj)+ν((un(t),wj))+c(|un(t)|β−1un(t),wj)+b(un(t),un(t),wj)+b(∇gg,un(t),wj)=⟨f(x,t),wj⟩+⟨h(t,ut),wj⟩,t>τ,j=1,2,…n,((un(t),wj))=((uτ,wj)), | (3.1) |
where ⟨⋅⟩ is dual product of Vg and V′g.
According to the results of the initial value problems of ordinary differential equations, there exists a unique local solution to problem (3.1). In the following, we prove that the time interval of the solution can be extended to [τ,∞).
12ddt|un(t)|22+ν||un(t)||2+c|un(t)|β+1β+1+b((∇gg⋅∇)un(t),un(t))=⟨f(x,t),un(t)⟩+⟨h(t,ut),un(t)⟩. | (3.2) |
Using Cauchy's inequality and Young's inequality, we have
⟨f(x,t),un(t)⟩≤||f(x,t)||∗⋅||un(t)||≤ν2||un||2+12ν||f(x,t)||2∗, | (3.3) |
where ||⋅||∗ is norm of V′g.
⟨h(t,ut),un(t)⟩≤12Cg|h(t,ut)|2+Cg2λ1||un(t)||2. | (3.4) |
We take (3.3) and (3.4) into (3.2) to obtain
12ddt|un(t)|22+ν||un(t)||2+c|un(t)|β+1β+1+b((∇gg⋅∇)un(t),un(t))≤ν2||un||2+12ν||f(x,t)||2∗+12Cg|h(t,ut)|2+Cg2λ1||un(t)||2,ddt|un(t)|22+2ν||un(t)||2+2c|un(t)|β+1β+1+2b((∇gg⋅∇)un(t),un(t))≤ν||un||2+1ν||f(x,t)||2∗+1Cg|h(t,ut)|2+Cgλ1||un(t)||2, |
ddt|un(t)|22+(ν−Cgλ1)||un(t)||2+2c|un(t)|β+1β+1+2b((∇gg⋅∇)un(t),un(t))≤1ν||f(x,t)||2∗+1Cg|h(t,ut)|2, | (3.5) |
that is
ddt|un(t)|22+(ν−Cgλ1)||un(t)||2+2c|un(t)|β+1β+1≤1ν||f(x,t)||2∗+1Cg|h(t,ut)|2+2ν|∇g|∞m0λ1/21||un(t)||2. |
ddt|un(t)|22+ν(1−Cgνλ1−2|∇g|∞m0λ1/21)||un(t)||2+2c|un(t)|β+1β+1≤1ν||f(x,t)||2∗+1Cg|h(t,ut)|2. | (3.6) |
By integrating (3.6) from τ to t, we can obtain
|un(t)|2+ν(1−Cgνλ1−2|∇g|∞m0λ1/21)∫tτ||un(s)||2ds+2c∫tτ|un(s)|β+1β+1ds≤|un(τ)|2+1ν∫tτ||f(x,s)||2∗ds+1Cg∫tτ|h(s,us)|2ds. |
For any T>0 and β≥1, we have
supτ≤t≤T(|un(t)|2)+ν(1−Cgνλ1−2|∇g|∞m0λ1/21)∫tτ||un(s)||2ds+2c∫tτ|un(s)|β+1β+1ds≤|un(τ)||2+1ν∫tτ||f(x,s)||2∗ds+1Cg∫tτ|h(s,us)|2ds≤C, |
then we can obtain that
{un(t)}isboundedinL∞(τ,T;Vg), | (3.7) |
{un(t)}isboundedinL2(τ,T;Vg), | (3.8) |
and {un(t)} is bounded in Lβ+1(τ,T;Lβ+1(Ω)). So un(t)∈L∞(τ,T;Vg), therefore B(un(t))∈L∞(τ,T;V′g), |un(t)|β−1un(t)∈Lβ+1(τ,T;Lβ+1(Ω)). As a result,
ddt⟨un(t),v⟩=⟨f(x,t)+h(t,ut)−c|un(t)|β−1un(t)−νAun(t)−B(un(t))−νR(un(t)),v⟩,∀v∈Vg. |
Since {u′n(t)} is bounded in L2(τ,T;Vg), then there exists a subsequence in {un(t)}, it still denoted by {un(t)}, we have un(t)∈L2(τ,T;Vg) and u′n(t)∈L2(τ,T;Vg) such that
(i) un(t)→u(t) is weakly ∗ convergent in L∞(τ,T;Vg);
(ii) un(t)→u(t) is weakly convergent in L2(τ,T;Vg);
(iii) |un(t)|β−1un(t)→ξ is weakly convergent in Lβ+1(τ,T;Lβ+1(Ω));
(iv) u′n(t)→u′(t) is weakly convergent in L2(τ,T;Vg);
(v) un(t)→u(t) is strongly convergent in L2(τ,T;Hg);
(vi) un(t)→u(t),ae(x,t)∈Ω×[τ,T].
From Lemma 1.3 of [24], we can see ξ=|u|β−1u, since ⋃n∈N+Span{w1,w2,⋯,wn} is denseness in Vg, taking the limit n→∞ on both sides of (3.1), we can obtain that u is a weak solution of (1.5).
In the following, the solution is proved to be unique and continuously dependent on initial values. Let u1 and u2 be two weak solutions of (1.5) corresponding to the initial values u1τ,u2τ∈Vg, we take u=u1−u2, from (2.6) we obtain
12ddt|u|2+ν||u||2+c(|u1|β−1u1−|u2|β−1u2,u)+ν(Ru,u)=⟨B(u2)−B(u1),u⟩+⟨h(t,u2t)−h(t,u1t),u⟩. | (3.9) |
Using Hölder inequality and Sobolev embedding theorem, we obtain
(|u1|β−1u1−|u2|β−1u2,u)=∫Ω(|u1|β−1u1−|u2|β−1u2)(u1−u2)dx≥∫Ω(|u1|β+1−|u1|β|u2|−|u2|βu1+|u2|β+1)dx=∫Ω(|u1|β−|u2|β)(|u1|−|u2|)dx≥0. | (3.10) |
We have
|⟨B(u2)−B(u1),u⟩|=|⟨B(u2,u2−u1)−B(u1−u2,u1),u⟩|≤C1||u2||||u2−u1||||u||+C1||u1−u2||||u1||||u||=C1||u||2(||u1+||u2||)≤C1||u||2, | (3.11) |
where C1>0 is any constant.
|⟨h(t,u2t)−h(t,u1t),u⟩|≤∫t0|h(s,u2s)−h(s,u1s)|⋅|u(s)|ds≤Lg||ut||CHg⋅|u(t)|≤νλ14|u(t)|2+Lg2λ1||ut||2CHg≤ν4||u(t)||2+Lg2λ1||ut||2CHg, |
ν|(Ru,u)|≤ν||∇g||∞m0λ1/21||u|||u|≤ν||∇g||∞2m0λ1/21(||u||2+|u|2)=ξ(||u||2+|u|2), | (3.12) |
where ξ=ν||∇g||∞2m0λ1/21, so
12ddt|u|2+ν||u||2≤C1||u||2+ξ(||u||2+|u|2)+ν4||u(t)||2+Lg2λ1||ut||2CHg, |
ddt|u|2+(2ν−2C1−2ξ−ν2)||u||2≤2ξ|u|2+Lg2λ1||ut||2CHg. |
Let 2ν−2C1−2ξ−ν2>0, then
|u(t)|2≤2ξ∫t0|u(s)|2ds+Lgλ1∫t0||us||2CHgds. |
Since u(s)=0 for s≤0, we take the maximum in [0,t] for any t∈[0,T], and we obtain
||ut||2CHg≤(2ξ+Lgλ1)∫t0||us||2cHgds. |
We can obtain that the uniqueness of the solution holds after applying the Gronwall inequality.
In the following, we will prove the existence of pullback attractor for (1.5). First, we will prove the existence of pullback absorbing sets.
Lemma 3.1. Let f∈L2loc(R,Hg), |f|2b=supt∈R∫t+1t|f(s)|2ds<∞, |h|2b=supt∈R∫t+1t|h(s,us)|2ds<∞, suppose u(x,t)=u(t;τ,uτ)∈L∞(τ,T;Vg)∩L2(τ,T;Vg)∩Lβ+1(τ,T;Lβ+1(Ω)) be a weak solution of Eq (1.5). Let σ=νλ1, for any t≥τ, then
|u(t)|2≤|u0|2e−σγ0(t−τ)+R21, |
where R21=1σ(1−e−σγ0)(|f|2b+|h|2b) and γ0=2ν|∇g|∞m0λ1/21−1+Cgνλ1.
Proof. Let f∈L2loc(R,Hg) and |f|2b=supt∈R∫t+1t|f(s)|2ds<∞,|h|2b=supt∈R∫t+1t|h(s,us)|2ds<∞. Let u(x,t) be a weak solution of Eq (1.5), we obtain
12ddt|u|2=⟨u′,u⟩=⟨f+h−νAgu−Bu−c|u|β−1u−νRu,u⟩=⟨f,u⟩+⟨h,u⟩−ν||u||2−bg(u,u,u)−c|u|β+1β+1−ν((1g∇g⋅∇)u,u), |
then,
ddt|u|2+2ν||u||2+2c|u|β+1β+1=2⟨f,u⟩+2⟨h,u⟩−2ν((∇gg⋅∇)u,u). |
So
ddt|u|2+2ν||u||2+2c|u|β+1β+1≤|f|2νλ1+νλ1|u|2+1Cg|h(t,ut)|2+Cg|u|2+2ν|∇g|∞m0λ1/21||u||2≤|f|2νλ1+ν||u||2+1Cg|h(t,ut)|2+Cg||u||2λ1+2ν|∇g|∞m0λ1/21||u||2, |
then,
ddt|u|2+(ν−Cgλ1)||u||2+2c|u|β+1β+1≤|f|2νλ1+1Cg|h(t,ut)|2+2ν|∇g|∞m0λ1/21||u||2. |
Hence,
ddt|u|2≤νγ0||u||2+|f|2νλ1+1Cg|h(t,ut)|2, |
where γ0=2|∇g|∞m0λ1/21−1+Cgνλ1>0 for sufficiently small |∇g|∞. So
ddt|u|2≤νλ1γ0|u|2+|f|2νλ1+1Cg|h(t,ut)|2. |
Let σ=νλ1, we have
|u(t)|2≤|u0|2eσγ0(τ−t)+1σ∫tτe−σγ0(t−r)|f(r)|2dr+1Cg∫tτe−σγ0(t−r)|h(r,ur)|2dr≤|u0|2eσγ0(τ−t)+1σ[∫tt−1e−σγ0(t−r)|f(r)|2dr+∫t−1t−2e−σγ0(t−r)|f(r)|2dr+⋯]+1Cg[∫tt−1e−σγ0(t−r)|h(r,ur)|2dr+∫t−1t−2e−σγ0(t−r)|h(r,ur)|2dr+⋯]≤|u0|2eσγ0(τ−t)+1σ(1+e−σγ0+e−2σγ0+⋯)supt∈R∫t+1t|f(r)|2dr+1Cg(1+e−σγ0+e−2σγ0+⋯)supt∈R∫t+1t|h(r,ur)|2dr≤|u0|2eσγ0(τ−t)+R21, |
where R21=1σ(1−e−σγ0)(|f|2b+|h|2b).
For any f∈L2loc(R,Hg),|f|2b=|f0|2b, we have the uniformly absorbing set
B0={u∈Hg||u|≤2R21=ρ20} |
in Hg.
Lemma 3.2. Let f∈L2loc(R,Hg), |f|2b=supt∈R∫t+1t|f(s)|2ds<∞, |h|2b=supt∈R∫t+1t|h(s,us)|2ds<∞, u0(x)∈Hg, suppose
u(x,t)∈L∞(τ,T;Vg)∩L2(τ,T;Vg)∩Lβ+1(τ,T;Lβ+1(Ω)),u′(x,t)∈L2loc(Rτ;Hg)(∀t>0) |
is a strong solution of (1.5), for any t≥τ, then
||u(t)||2≤||u(τ)||2eγ(τ−t)+1ν(1−e−γ)−1(|f|2b+|h|2b), |
where γ=λ(ν−Cg−2ν|∇g|∞m0λ1/20).
Proof. We suppose u(x,t) be a strong solution of (1.5), multiplying (2.6) by Agu and we have
12ddt||u||2+ν|Agu|2+(Bu,Agu)+(c|u|β−1u,Agu)=(f,Agu)+(h,Agu)−ν(Ru,Agu). |
Then,
12ddt||u||2+ν|Agu|2+c∫Ω|u|β−1|∇u|2dx+c(β−1)4∫Ω|uβ−3||∇|u|2|2dx |
=(f,Agu)+(h,Agu)−ν(Ru,Agu), |
ddt||u||2+2ν|Agu|2+2c∫Ω|u|β−1|∇u|2dx+c(β−1)2∫Ω|uβ−3||∇|u|2|2dx |
=2(f,Agu)+2(h,Agu)−2ν(Ru,Agu). |
So
ddt||u||2+2ν|Agu|2+2c∫Ω|u|β−1|∇u|2dx+c(β−1)2∫Ω|uβ−3||∇|u|2|2dx≤1ν|f|2+ν|Agu|2+1Cg|h(t,ut)|2+Cg|Agu|2+2ν|∇g|∞m0||u|||Agu|≤1ν|f|2+(ν−Cg)|Agu|2+1Cg|h(t,ut)|2+2ν|∇g|∞m0λ1/20|Agu|2. |
Since
2c∫Ω|u|β−1|∇u|2dx+c(β−1)2∫Ω|uβ−3||∇|u|2|2dx≥0, |
we deduce
ddt||u||2+(ν−Cg−2ν|∇g|∞m0λ1/20)|Agu|2≤1ν|f|2+1Cg|h(t,ut)|2, |
ddt||u||2+λ(ν−Cg−2ν|∇g|∞m0λ1/20)||u||2≤1ν|f|2+1Cg|h(t,ut)|2. |
Then we have
ddt||u||2+γ||u||2≤1ν|f|2+1Cg|h(t,ut)|2, |
where
γ=λ(ν−Cg−2ν|∇g|∞m0λ1/20)>0. |
Using Gronwall's inequality, we deduce
||u||2≤||u(τ)||2eγ(τ−t)+1ν∫tτe−γ(t−r)|f|2dr+1Cg∫tτe−γ(t−r)|h(r,ur)|2dr≤||u(τ)||2eγ(τ−t)+1ν[∫tt−1e−γ(t−r)|f|2dr+∫t−1t−2e−γ(t−r)|f|2dr+⋯]+1Cg[∫tt−1e−γ(t−r)|h(r,ur)|2dr+∫t−1t−2e−γ(t−r)|h(r,ur)|2dr+⋯], |
||u||2≤||u(τ)||2eγ(τ−t)+1ν(1+e−γ+e−2γ+⋯)supt∈R∫t+1t|f|2dr+1Cg(1+e−γ+e−2γ+⋯)supt∈R∫t+1t|h(r,ur)|2dr≤||u(τ)||2eγ(τ−t)+1ν(1−e−γ)−1(|f|2b+|h|2b). |
Let
B1=⋃f∈Γ⋃t>t0+1ϕ(t0+1,f,h,B0), |
then B1 is bound and B1 is the uniformly absorbing set in Vg.
Theorem 3.2. Let f∈L2loc(R,Hg), |f|2b=supt∈R∫t+1t|f(s)|2ds<∞, |h|2b=supt∈R∫t+1t|h(s,us)|2ds<∞, then the cocycle {ϕ(t,γ,x)} corresponding to Eq (1.5) possesses a compact pullback attractor.
Proof. The following we will prove that cocycle {ϕ(t,γ,x)} satisfies pullback condition in Vg. As (Ag)−1 is continuous compact in Hg, we can use spectral theory, there is a sequence {λj}∞j=1, 0≤λ1≤λ2≤⋯≤λi≤⋯≤λj→∞,asj→∞, and a family of {ωj}∞j=1 of D(Ag), they are orthonormal in Hg and Agωj=λjωj,∀j∈N. We suppose Vm=span{ω1,ω2,…,ωm} in Vg, Pm:Vg→Vm is orthogonal projector.
For all u∈D(Ag), we set u=Pmu+(I−Pm)u=u1+u2, and multiply the first equation of (2.6) by Agu2 in Hg, then we obtain
12ddt||u2||2+ν|Agu2|2+(B(u),Agu2)+(G(u),Agu2)+ν(Ru,Agu2)=(f,Agu2)+(h,Agu2). | (3.13) |
We deduce
|(B(u),Agu2)|≤|(B(u1,u1+u2),Agu2)|+|(B(u2,u1+u2),Agu2)| |
≤cL1/2||u1|||Agu2|(||u1||+||u2||)+c|u2|1/2|Agu2|3/2(||u1||+||u2||) |
≤ν4|Agu2|2+cνρ41L+cν3ρ20ρ41,t≥t0+1, |
where |Agu1|2≤λm||u1||2 and L=1+logλm+1λ1, ||F(u)||2=c2|u|2β−2||u||2≤c2ρ2β−20ρ21=r20.
|(Ru,−Δu2)|≤|∇g|∞m0||u||⋅|Agu2|≤|∇g|∞m0(|Agu2|22+2||u||2)≤|∇g|∞m0(|Agu2|22+2ρ21), |
and
(f,Agu2)≤2|f|2ν+ν|Agu2|28, |
(G(u),Agu2)≤2ν||F(u)||2+ν8|Agu2|2≤2r20ν+ν8|Agu2|2, |
(h,Agu)≤12Cg|h(t,ut)|2+Cg2|Agu|2. |
From (3.13), we have
ddt||u2||2+2ν|Agu2|2≤2(f,Agu2)+2(h,Agu2)−2(B(u),Agu2)−2(G(u),Agu2)−2ν(Ru,Agu2)≤4|f|2ν+ν|Agu2|24+1Cg|h(t,ut)|2+Cg|Agu|2+ν2|Agu2|2+2cνρ41L+2cν3ρ20ρ41+2ν|∇g|∞m0(|Agu2|22+2ρ21)=4|f|2ν+3ν|Agu2|24+1Cg|h(t,ut)|2+Cg|Agu|2+ν|∇g|∞m0|Agu2|2+2cνρ41L+2cν3ρ20ρ41+4ν|∇g|∞m0ρ21. |
We obtain
\begin{equation*} \begin{array}{ll} \frac{d}{dt}||u_2||^2+\nu (\frac{5}{4}-\frac{C_g}{\nu}-\frac{|\nabla g|_\infty}{m_0})|A_g u_2|^2&\leq \frac{4|f|^2}{\nu}+\frac{1}{C_g}|h(t, u_t)|^2+\frac{2c}{\nu}\rho_1^4 L+\frac{2c}{\nu^3}\rho_0^2 \rho_1^4+\frac{4\nu|\nabla g|_\infty}{ m_0}\rho_1^2, \\ \frac{d}{dt}||u_2||^2+\nu (\frac{5}{4}-\frac{C_g}{\nu}-\frac{|\nabla g|_\infty}{m_0})|A_g u_2|^2&\leq 2c(\frac{2}{c\nu}|(I-P_m)f|^2+\frac{1}{\nu}\rho_1^4 L+\frac{1}{\nu^3}\rho_0^2 \rho_1^4+\frac{2\nu|\nabla g|_\infty}{c m_0}\rho_1^2)+\frac{1}{C_g}|h(t, u_t)|^2. \end{array} \end{equation*} |
We set \xi = \frac{5}{4}-\frac{C_g}{\nu}-\frac{|\nabla g|_\infty}{m_0} > 0 , then
\frac{d}{dt}||u_2||^2+\nu \lambda_{m+1} \xi ||u_2||^2\leq 2c(\frac{2}{c\nu}|(I-P_m)f|^2+\frac{1}{\nu}\rho_1^4 L+\frac{1}{\nu^3}\rho_0^2 \rho_1^4+\frac{2\nu|\nabla g|_\infty}{c m_0}\rho_1^2)+\frac{1}{C_g}|h(t, u_t)|^2. |
By Gronwall lemma, we deduce
\begin{equation*} \begin{array}{ll} ||u_2||^2&\leq \; ||u_2(t_{0}+1)||^2 e^{\nu \lambda_{m+1} \xi (t_{0}+1-t)} +\int_{t_0+1}^t e^{\nu \lambda_{m+1} \xi (r-t)}[2c(\frac{1}{c\nu}|(I-P_m)f|^2+\frac{1}{\nu}\rho_1^4 L \\ &\quad +\frac{1}{\nu^3}\rho_0^2 \rho_1^4+\frac{2|\nabla g|_\infty}{c\nu m_0}\rho_1^2)+\frac{1}{C_g}|h(r, u_r)|^2]dr\\ & = ||u_2(t_{0}+1)||^2 e^{\nu \lambda_{m+1} \xi (t_{0}+1-t)}+2c(\frac{1}{\nu}\rho_1^4 L+\frac{1}{\nu^3}\rho_0^2 \rho_1^4+\frac{2|\nabla g|_\infty}{c\nu m_0}\rho_1^2) \int_{t_0+1}^t e^{\nu \lambda_{m+1} \xi (r-t)}dr\\ &\quad+\frac{2}{\nu}\int_{t_0+1}^t e^{\nu \lambda_{m+1} \xi (r-t)}|(I-P_m)f|^2dr+\frac{1}{C_g}\int_{t_0+1}^te^{\nu\lambda_{m+1}\xi(r-t)}|h(r, u_r)|^2dr\\ & = ||u_2(t_{0}+1)||^2 e^{\nu \lambda_{m+1} \xi (t_{0}+1-t)}+\frac{2c}{\nu^2 \lambda_{m+1}\xi}(\rho_1^4 L+\frac{\rho_0^2 \rho_1^4}{\nu^2}+\frac{2|\nabla g|_\infty}{c m_0}\rho_1^2)\\ &\quad+\frac{2}{\nu}\int_{t_0+1}^t e^{\nu \lambda_{m+1} \xi (r-t)}|(I-P_m)f|^2dr+\frac{1}{C_g}\int_{t_0+1}^te^{\nu\lambda_{m+1}\xi(r-t)}|h(r, u_r)|^2dr. \end{array} \end{equation*} |
From Lemma 2.1 and (IV), for any \varepsilon > 0 , when m+1 sufficiently large, then,
\frac{2}{\nu}\int_{t_0+1}^t e^{\nu \lambda_{m+1} \xi (r-t)}|(I-P_m)f|^2dr\leq \frac{\varepsilon}{4}, |
\frac{1}{C_g}\int_{t_0+1}^te^{\nu\lambda_{m+1}\xi(r-t)}|h(r, u_r)|^2dr\leq \frac{\varepsilon}{4}, |
\frac{2c}{\nu^2 \lambda_{m+1}\xi}(\rho_1^4 L+\frac{\rho_0^2 \rho_1^4}{\nu^2}+\frac{2|\nabla g|_\infty}{c m_0}\rho_1^2)\leq \frac{\varepsilon}{4}. |
Let t_2 = t_0+1+\frac{1}{\nu \lambda_{m+1}\xi \ln\frac{3\rho_1^2}{\varepsilon}} , then t\geq t_2 , we obtain
||u_2(t_{0}+1)||^2 e^{\nu \lambda_{m+1} \xi ((t_{0}+1)-t)}\leq \rho_1^2 e^{\nu \lambda_{m+1} \xi ((t_{0}+1)-t)}\leq \frac{\varepsilon}{4}. |
Then \forall t\geq t_2, \; ||u_2(t)||^2\leq \varepsilon , from Theorems 2.1 and 2.2, that is, \{\phi(t, \gamma, x)\} has satisfied pullback condition in V_g , then the Eq (1.5) possesses a compact pullback attractor.
In this article, we show how to deal with the nonlinear dampness c |u|^{\beta-1}u\; (\beta\geq 1) and time delay h(t, u_t) to obtain the existence of pullback attractor of the 2D g-Navier-Stokes equation. The calculation process is more complicated due to nonlinear damping and time delay. When we prove the existence of pullback absorbing sets, we must suppose that h(t, u_t) satisfies |h|_b^2 = \sup_{t\in {\mathrm{R}}}\int_t^{t+1} |h(s, u_s)|^2 ds < \infty , this condition is also required to hold in the process of proving asymptotic compactness, we find that the pullback absorbing sets exist in H_g when |\nabla g|_{\infty} > \frac{m_0 \lambda_1^{1/2}}{2}(1+\frac{C_g}{\nu \lambda_1}) , and exist in V_g when 0 < |\nabla g|_{\infty} < \frac{m_0 \lambda_0^{1/2}}{2}(\nu-C_g) . We prove the existence of pullback attractor by the method of pullback condition when 0 < |\nabla g|_\infty < \frac{m_0}{4\nu}(5\nu-4g) . The conclusions of this article are innovative and will further promote the research of 3D Navier-Stokes equations.
Obviously, it is necessary to analyze the connection between Navier-Stokes equations and g-Navier-Stokes equations. To obtain more research results for the study of g-Navier-Stokes equations in future research, we may consider that the pullback asymptotic behavior of solutions for 2D g-Navier-Stokes equations with nonlinear dampness and time delay on the unbounded domain. On the other hand, it is well-known that the invariant measures and statistical solutions have been proven to be very useful in the understanding of turbulence in the case of Navier-Stokes equations. The main reason is that the measurements of several aspects of turbulent flows are actually measurements of time-average quantities. Using the method in [21,22], we will construct a family of Borel invariant probability measures on the pullback attractor of 2D nonautonomous g-Navier-Stokes flow in a bounded domain and investigate the relationship between invariant measures and statistical solutions of this system.
The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.
This work was supported by the National Natural Science Foundation of China (NSFC) (Grant No. 12261090).
The authors declare no any conflicts of interest.
[1] |
Y. G. Sinai, K. M. Khanin, Renormalization group method in the theory of dynamical systems, Int. J. Modern Phys. B, 2 (1988), 147–165. https://doi.org/10.1142/S0217979288000123 doi: 10.1142/S0217979288000123
![]() |
[2] |
F. Abergel, Attractor for a Navier-Stokes flow in an unbounded domain, Math. Model. Numer. Anal., 23 (1989), 359–370. https://doi.org/10.1051/m2an/1989230303591 doi: 10.1051/m2an/1989230303591
![]() |
[3] |
T. Caraballo, G. Łukaszewicz, J. Real, Pullback attractors for asymptotically compact non-autonomous dynamical systems, Nonlinear Anal., 64 (2006), 484–498. https://doi.org/10.1016/j.na.2005.03.111 doi: 10.1016/j.na.2005.03.111
![]() |
[4] |
Y. J. Wang, C. K. Zhong, S. F. Zhou, Pullback attractors of nonautonomous dynamical systems, Discrete Cont. Dyn. Syst., 16 (2006), 587–614. https://doi.org/10.3934/dcds.2006.16.587 doi: 10.3934/dcds.2006.16.587
![]() |
[5] |
C. Boldrighini, S. Frigio, P. Maponi, A. Pellegrinotti, Y. G. Sinai, An antisymmetric solution of the 3D incompressible Navier-Stokes equations with "Tornado-Like" behavior, J. Exp. Theor. Phys., 131 (2020), 356–360. https://doi.org/10.1134/S1063776120060023 doi: 10.1134/S1063776120060023
![]() |
[6] |
X. J. Cai, Q. S. Jiu, Weak and strong solutions for the incompressible Navier-Stokes equations with damping, J. Math. Anal. Appl., 343 (2008), 799–809. https://doi.org/10.1016/j.jmaa.2008.01.041 doi: 10.1016/j.jmaa.2008.01.041
![]() |
[7] |
Z. J. Zhang, X. L. Wu, M. Lu, On the uniqueness of strong solution to the incompressible Navier-Stokes equations with damping, J. Math. Anal. Appl., 377 (2011), 414–419. https://doi.org/10.1016/j.jmaa.2010.11.019 doi: 10.1016/j.jmaa.2010.11.019
![]() |
[8] |
Y. Jia, X. W. Zhang, B. Q. Dong, The asymptotic behavior of solutions to three-dimensional Navier-Stokes equations with nonlinear damping, Nonlinear Anal. Real World Appl., 12 (2011), 1736–1747. https://doi.org/10.1016/j.nonrwa.2010.11.006 doi: 10.1016/j.nonrwa.2010.11.006
![]() |
[9] |
X. L. Song, F. Liang, J. H. Wu, Pullback D-attractors for the three-dimensional Navier-Stokes equations with nonlinear damping, Bound. Value Probl., 2016 (2016), 1–15. https://doi.org/10.1186/s13661-016-0654-z doi: 10.1186/s13661-016-0654-z
![]() |
[10] |
E. S. Baranovskii, M. A. Artemov, Model for aqueous polymer solutions with damping term: Solvability and vanishing relaxation limit, Polymers, 14 (2022), 1–17. https://doi.org/10.3390/polym14183789 doi: 10.3390/polym14183789
![]() |
[11] | J. Roh, g-Navier-Stokes equations, University of Minnesota, 2001. |
[12] |
J. Roh, Dynamics of the g-Navier-stokes equations, J. Differ. Equ., 211 (2005), 452–484. https://doi.org/10.1016/j.jde.2004.08.016 doi: 10.1016/j.jde.2004.08.016
![]() |
[13] |
H. O. Bae, J. Roh, Existence of solutions of the g-Navier-Stokes equations, Taiwanese J. Math., 8 (2004), 85–102. https://doi.org/10.11650/twjm/1500558459 doi: 10.11650/twjm/1500558459
![]() |
[14] |
M. Kwak, H. Kwean, J. Roh, The dimension of attractor of the 2D g-Navier-Stokes equations, J. Math. Anal. Appl., 315 (2006), 436–461. https://doi.org/10.1016/j.jmaa.2005.04.050 doi: 10.1016/j.jmaa.2005.04.050
![]() |
[15] |
J. P. Jiang, Y. R. Hou, The global attractor of g-Navier-Stokes equations with linear dampness on {\mathrm{R}}^2, Appl. Math. Comput., 215 (2009), 1068–1076. https://doi.org/10.1016/j.amc.2009.06.035 doi: 10.1016/j.amc.2009.06.035
![]() |
[16] |
J. P. Jiang, Y. R. Hou, Pullback attractor of 2D non-autonomous g-Navier-Stokes equations on some bounded domains, Appl. Math. Mech., 31 (2010), 697–708. https://doi.org/10.1007/s10483-010-1304-x doi: 10.1007/s10483-010-1304-x
![]() |
[17] |
D. T. Quyet, Pullback attractors for strong solutions of 2D non-autonomous g-Navier-Stokes equations, Acta Math. Vietnam., 40 (2015), 637–651. https://doi.org/10.1007/s40306-014-0073-0 doi: 10.1007/s40306-014-0073-0
![]() |
[18] |
X. X. Wang, J. P. Jiang, The long-time behavior of 2D nonautonomous g-Navier-Stokes equations with weak dampness and time delay, J. Funct. Spaces, 2022 (2022), 1–11. https://doi.org/10.1155/2022/2034264 doi: 10.1155/2022/2034264
![]() |
[19] |
M. Kaya, A. O. Celebi, Existence of weak solutions of the g-Kelvin-Voigt equation, Math. Comput. Model., 49 (2009), 497–504. https://doi.org/10.1016/j.mcm.2008.03.005 doi: 10.1016/j.mcm.2008.03.005
![]() |
[20] | J. K. Hale, Asymptotic behaviour of dissipative dynamical systems, Providence, RI: American Mathematical Society, 1988. |
[21] |
G. Łukaszewicz, Pullback attractors and statistical solutions for 2-D Navier-Stokes equations, Discrete Cont. Dyn. Systs. B, 9 (2008), 643–659. https://doi.org/10.3934/dcdsb.2008.9.643 doi: 10.3934/dcdsb.2008.9.643
![]() |
[22] |
C. D. Zhao, L. Yang, Pullback attractors and invariant measures for the non-autonomous globally modified Navier-Stokes equations, Commun. Math. Sci., 15 (2017), 1565–1580. https://doi.org/10.4310/cms.2017.v15.n6.a4 doi: 10.4310/cms.2017.v15.n6.a4
![]() |
[23] |
C. D. Zhao, T. Caraballo, G. Łukaszewicz, Statistical solution and Liouville type theorem for the Klein-Gordon-Schrödinger equations, J. Differ. Equ., 281 (2021), 1–32. https://doi.org/10.1016/j.jde.2021.01.039 doi: 10.1016/j.jde.2021.01.039
![]() |
[24] | J. L. Lions, Quelques méthodes de résolution des problèmes aux limites non-lineaires, Paris: Dunod, 1969. |