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Impact of behavioral change on the epidemic characteristics of an epidemic model without vital dynamics

  • The epidemic characteristics of an epidemic model with behavioral change in [V. Capasso, G. Serio, A generalizaition of the Kermack-McKendrick deterministic epidemic model, Math. Bios., 42 (1978), 43-61] are investigated, including the epidemic size, peak and turning point. The conditions on the appearance of the peak state and turning point are represented clearly, and the expressions determining the corresponding time for the peak state and turning point are described explicitly. Moreover, the impact of behavioral change on the characteristics is discussed.

    Citation: Jianquan Li, Xiaoqin Wang, Xiaolin Lin. Impact of behavioral change on the epidemic characteristics of an epidemic model without vital dynamics[J]. Mathematical Biosciences and Engineering, 2018, 15(6): 1425-1434. doi: 10.3934/mbe.2018065

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  • The epidemic characteristics of an epidemic model with behavioral change in [V. Capasso, G. Serio, A generalizaition of the Kermack-McKendrick deterministic epidemic model, Math. Bios., 42 (1978), 43-61] are investigated, including the epidemic size, peak and turning point. The conditions on the appearance of the peak state and turning point are represented clearly, and the expressions determining the corresponding time for the peak state and turning point are described explicitly. Moreover, the impact of behavioral change on the characteristics is discussed.


    It is well-known that the Navier-Stokes equations are the typical evolution equations and widely used in the field of science and engineering. The attractors of Navier-Stokes equations are studied by many scholars in the fields of dynamical systems for a long time (see [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15] and reference therein). Especially in recent years, there are many research achievements on g-Navier-Stokes equation. In [16,17,18], Roh deduced the 2D g-Navier-Stokes equations from 3D Navier-Stokes equations on thin region. It can be viewed as a perturbation of the usual Navier-Stokes equations. Bae et al. studied the well-posedness of weak solution for the 2D g-Navier-Stokes equations. Kwak et al. researched the global attractor and its fractal dimension of 2D g-Navier-Stokes equations in [19]. In [20,21,22,23,24], Jiang et al. studied global and the pullback attractor for g-Navier-Stokes equation. Moreover, the long-time behavior for 2D non-autonomous g-Navier-Stokes equations and the stability of solutions to stochastic 2D g-Navier-Stokes equations were studied by Anh in [25,26], The stationary solutions and its pullback attractor are researched in [27]. On the basis of the above research, we have studied the long time properties for g-Navier-Stokes equation with weakly dampness and time delay in [28] recently.

    In this manuscript, the uniform attractor of the g-Navier-Stokes equations with nonlinear dampness is researched. Its usual form is as follows:

    utνΔu+(u)u+c|u|β1u+p=f(x,t)in[τ,+)×Ω(gu)=0in[τ,+)×Ωu(x,t)=0in[τ,+)×Ωu(τ,x)=uτ(x)xΩ (1.1)

    In (1.1), we can see that u(t,x)R2 and p(t,x)R denote the velocity and pressure respectively. ν>0 is the viscosity coefficient, c|u|β1u denotes nonlinear dampness. c>0 and β1 are positive constant. f=f(x,t) is the external force term, 0<m0g=g(x1,x2)M0 and g=g(x1,x2) is a suitable smooth function, Let c=0 and g=1, the Eq (1.1) will become the usual 2D Navier-Stokes equations.

    This manuscript is organized as follows. In Section 2, we recall some basic results of 2D g-Navier-Stokes equations, then we give the concept about process families and uniform attractor. In Section 3, the global well-posedness of weak solutions for 2D g-Navier-Stokes equations with nonlinear dampness is studied. In Section 4, by the energy equation method, the existence of the uniform attractor of 2D g-Navier-Stokes equation with nonlinear dampness is proved on the unbounded domain. In Section 5, the dimension estimation of the uniform attractor in the quasi-periodic case is obtained.

    We assume Ω is a smooth unbounded domian of R2, Let L2(g)=(L2(Ω))2 and we denote (u,v)=Ωuνgdx and ||=(,)1/2,u,vL2(g). Let H10(g)=(H10(Ω))2, Set

    ((u,v))=Ω2j=1ujvjgdx,

    and ||||=((,))1/2,u=(u1,u2),v=(v1,v2)H10(g). We denote D(Ω) be the space of C functions with compact support contained in Ω. So we have the following spaces

    H={v(D(Ω))2:gv=0inΩ};
    Hg=closureofHinL2(g);
    Vg=closureofHinH10(g).

    where Hg and Vg endowed with the inner product and norm of L2(g) and H10(g) respectively.

    We assume that there exists λ1>0, such that

    |u|21λ1||u||2,uVg. (2.1)

    This Poincarˊe-type inequality imposes some restrictions on the geometry of the domain Ω.

    The g-Laplacian operator is defined as follows:

    Δgu=1g(g)u=Δu1ggu.

    The first equation of (1.1) can be rewritten as follows:

    utνΔgu+νggu+c|u|β1u+(u,)u+p=f. (2.2)

    In [16], g-orthogonal projection and g-Stokes operator are defined respectively by Pg:L2(g)Hg and Agu=Pg(1g((gu))). Applying the projection Pg on the Eq (2.2), we have the following weak formulation of (1.1).

    ddt(u,v)+ν((u,v))+c(|u|β1u,v)+bg(u,u,v)+ν(Ru,v)=f,vvVg,t>0, (2.3)
    u(0)=u0, (2.4)

    where bg:Vg×Vg×VgR and

    bg(u,v,w)=2i,j=1uivjxwjgdx,

    we have

    Ru=Pg[1g(g)u],uVg.

    Then the formula (2.3) and (2.4) are equivalent to the following functional equations

    dudt+νAgu+c|u|β1u+Bu+νRu=f (2.5)
    u(0)=u0 (2.6)

    We denote

    Agu,v=((u,v)),u,vVg. (2.7)

    From [16,17,19], we have

    ||B(u)||Vgc|u|||u||,||Ru||Vg|g|m0λ1/21||u||,uVg.

    where B(u)=B(u,u)=Pg(u)u is defined by

    B(u,v),w=bg(u,v,w),u,v,wVg.

    A family of two parametric maps {Uf(t,τ)}={Uf(t,τ)|tτ,τR} is defined in Hg as follows:

    Uf(t,τ):EE,tτ,τR.

    The following concepts and conclusions are given from [7]. fL(R+;Vg), the translation operator is defined in L(R+;Vg) as follows.

    T(h)f(s)=f(s+h),h0,sR.

    Obviously

    ||T(h)f||L(R+;Vg)||f||L(R+;Vg),h0,fL(R+;Vg).

    We set Σ={T(h)f(x,s)=f(x,s+h),hR}, where T() is the positive invariant semigroups which act on Σ and satify T(h)ΣΣ,h0 and

    UT(h)f(t,τ)=Uf(t+h,τ+h),h0,tτ0.

    Let ρF>0 be constant, Σ{fL(R+;Vg):||f||L(R+;Vg)ρF}. For {Uf(t,τ)} with fΣ, we call the parameter f as the symbols of the process family {Uf(t,τ)}, and Σ as the symbol space.

    Definition 2.1 [7] A family of two-parametric maps {U(t,τ)} is called a process in Hg, if

    (1)Uf(t,s)Uf(s,τ)=Uf(t,τ),tsτ,τR,

    (2)Uf(τ,τ)=Id,τR.

    Let E be the Banach space, B(E) is denoted the set of all bounded sets on E, then

    Definition 2.2 [7] A set B0E is said to be uniformly absorbing for the family of processes {Uf(t,τ)},fΣ}, if for any τR and each BB(E), there exists t0=t0(τ,B)τ, such that for all tt0,

    fΣUf(t,τ)BB0.

    Definition 2.3 [7] A set PE is said uniformly atttracting set of {Uf(t,τ)},fΣ}, if for any τR, there is

    limt+(supfΣdistE(Uf(t,τ)B,P))=0.

    Definition 2.4 [7] A closed set AΣE is said to be the uniform attractor of the family of processes {Uf(t,τ)},fΣ}, if

    (1) AΣE is uniformly attractive;

    (2) AΣE is included in any uniformly attracting set A of {Uf(t,τ)},fΣ}, that is AΣA.

    In the section we will prove the well-posedness of the solution for 2D g-Navier-Stokes equations with nonlinear dampness by the Faedo-Galerkin method.

    Definition 3.1 Let u0Hg,fL2Loc(R;Vg), For any τR, uL(τ,T;Vg)L2(τ,T;Vg)Lβ+1(τ,T;Lβ+1(Ω)),T>τ is called a weak solution of problem (1.1) if it fulfils

    ddtu(t)+νAgu(t)+B(u(t))+c|u|β1u+νR(u(t))=f(x,t)onD(τ,+;Vg),u(τ)=u0.

    Theorem 3.1 Let β1, fL2Loc(R;Vg), Then for every uτVg, the equations (1.1) have a unique 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) is continuously depending on the initial value in Vg.

    Proof. Let {wj}j1 be the eigenfunctions of Δ on Ω with homogeneous Dirichlet boundary conditions, Its corresponding eigenvalues are 0<λ1λ2, Obviously, {wj}j1Vg forms a Hilbert basis in Hg, given uτVg and fL2Loc(R;Vg).

    For any positive integer n1, we structure the Galerkin approximate solutions as un(t)=un(t;T,uτ), It has the following form

    un(t,T;uτ)=nj=1γn,j(t)wj.

    where γn,j(t) is determined from the initial values of the following system of nonlinear ordinary differential equations.

    (un(t),wj)+ν((un(t),wj))+c(|un(t)|β1un(t),wj)+b(un(t),un(t),wj)+b(gg,un(t),wj)
    =f(x,t),wj,t>τ,j=1,2,n (3.1)
    ((un(t),wj))=((uτ,wj)).

    where is dual product of Vg and Vg.

    According to the results of the initial value problems of ordinary differential equations, we have that there exists a unique local solution of (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) (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 Vg. We take (3.3) 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
    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
    ddt|un(t)|22+ν||un(t)||2+2c|un(t)|β+1β+1+2b((gg)un(t),un(t))1ν||f(x,t)||2 (3.4)

    That is

    ddt|un(t)|22+ν||un(t)||2+2c|un(t)|β+1β+11ν||f(x,t)||2+2ν|g|m0λ1/21||un(t)||2
    ddt|un(t)|22+ν(12|g|m0λ1/21)||un(t)||2+2c|un(t)|β+1β+11ν||f(x,t)||2 (3.5)

    By integrating (3.5) from τ to t, we have

    |un(t)|2+ν(12|g|m0λ1/21)tτ||un(s)||2ds+2ctτ|un(s)|β+1β+1ds
    |un(τ)|2+1νtτ||f(x,s)||2ds.

    For any T>0 and β1, we obtain

    supτtT(|un(t)|2)+ν(12|g|m0λ1/21)tτ||un(s)||2ds+2ctτ|un(s)|β+1β+1ds
    |un(τ)||2+1νtτ||f(x,s)||2dsC.
    Sowecanobtainthat{un(t)}isboundedinL(τ,T;Vg), (3.6)
    {un(t)}isboundedinL2(τ,T;Vg), (3.7)
    and{un(t)}isboundedinLβ+1(τ,T;Lβ+1(Ω)). (3.8)

    So un(t)L(τ,T;Vg). Therefore B(un(t))L(τ,T;Vg), |un(t)|β1un(t)Lβ+1(τ,T;Lβ+1(Ω)). As a result,

    ddtun(t),v=f(x,t)c|un(t)|β1un(t)νAun(t)B(un(t))νR(un(t)),v,vVg.

    so {un(t)} is bounded in L2(τ,T;Vg).

    Then we deduce that there is a subsequence in {un(t)}, which is still denoted by {un(t)}. We obtain un(t)L2(τ,T;Vg) and un(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)|β1un(t)ξ is weakly convergent in Lβ+1(τ,T;Lβ+1(Ω));

    (iv)un(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 [29], we can see ξ=|u|β1u. Since nN+span{w1,w2,,wn} is denseness in Vg, Taking the limit n on both sides of Eq (3.1), we can obtain that u is a weak solution of (1.1).

    In the following, the solution is proved to be unique and continuously dependent on initial values. Let u1,u2 be two weak solutions of (1.1) corresponding to the initial values u1τ,u2τVg, We take u=u1u2, From (2.3) we have

    12ddt(|u|2)+ν||u||2+c(|u1|β1u1|u2|β1u2,u)+ν(Ru,u)=B(u2)B(u1),u. (3.9)

    Using Hölder inequality and Sobolev embedding theorem, we obtain

    (|u1|β1u1|u2|β1u2,u)=Ω(|u1|β1u1|u2|β1u2)(u1u2)dx
    Ω(|u1|β+1|u1|β|u2||u2|βu1+|u2|β+1)dx
    =Ω(|u1|β|u2|β)(|u1||u2|)dx0. (3.10)

    we have

    |B(u2)B(u1),u=|B(u2,u2u1)B(u1u2,u1),u|
    C1||u2||||u2u1||||u||+C1||u1u2||||u1||||u||
    =C1||u||2(||u1+||u2||)
    C1||u||2 (3.11)

    where C1>0 is any constant.

    ν(Ru,u)ν||g||m0λ1/21||u|||u|
    ν||g||2m0λ1/21(||u||2+|u|2)
    =α(||u||2+|u|2). (3.12)

    where α=ν||g||2m0λ1/21. so

    12ddt|u|2+ν||u||2C1||u||2+α(||u||2+|u|2).
    ddt|u|2+2(νC1α)λ1|u|2α|u|2.

    Thus

    ddt|u|2[α2λ1(νC1α)]|u|2.

    Let C be a constant and C=α2λ1(νC1α)>0, then

    ddt|u|2C|u|2.

    Therefore

    |u|22eC(tτ)|uτ|22.

    So we prove the continuous dependence on the initial value. When u1τ=u2τ, that is uτ=0, then the uniqueness of the solution holds.

    In the following we have that the family of processes {Uf(t,τ)},fΣ is uniformly bounded (w.r.t.fΣ) and it has uniform absorbing sets.

    Firstly, the existence of uniformly absorbing sets is proved. Taking the inner product of (2.5) with u, we have

    ddt|u|2+2ν||u||2+2c|u|β+1=2f,u2ν((gg)u,u),

    Then

    ddt|u|2+2ν||u||2+2c|u|β+1||f||2L(R+;Vg)ν+ν||u||2+2ν|g|m0λ1/21||u||2,

    For β1, we obtain

    ddt|u|2+νλ1γ|u|2ddt|u|2+νγ||u||2||f||2L(R+;Vg)ν,

    where γ=12|g|m0λ1/21>0 for sufficiently small |g|. Using the Gronwall inequality, we have

    |u(t)|2|u0|2eνλ1γt+||f||2L(R+;Vg)ν2λ1γ,t>0.

    and from

    ddt|u|2+2ν||u||2+2c|u|β+1||f||2L(R+;Vg)ν+ν||u||2+2ν|g|m0λ1/21||u||2,

    we have

    ddt|u|2+ν||u||2+2c|u|β+1||f||2L(R+;Vg)ν+2ν|g|m0λ1/21||u||2.

    So

    ddt|u|2+ν(12|g|m0λ1/21)||u||2||f||2L(R+;Vg)ν. (4.1)

    Integrating (4.1) in s from 0 to t, we have

    1tt0||u(s)||2ds|u0|2tνγ+||f||2L(R+;Vg)ν2γ,t>0.

    then we know that the family of processes corresponding to u is uniformly bounded, and

    B0={uHg:|u|ρ0=1ν2λ1γ||f||L(R+;Vg)}

    is uniformly absorbing set in Hg. Then the following lemma holds.

    Lemma 4.1 Let Σ be symbolic space, The process family corresponding to Eq (1.1) is uniformly bounded in L(R+;Hg)L2(τ,T;Vg) and there is a uniform absorbing set in Hg.

    Lemma 4.2 Let τ0, uτn be the sequence in Hg that weakly converges to uτHg, fnΣ is the sequence in L(R+;Vg) that weakly converges to f, then

    (1) For t>τ, Ufn(t,τ)uτn is weakly converges to Uf(t,τ)uτ in Hg;

    (2) For T>τ, Ufn(,τ)uτn is weakly converges to Uf(,τ)uτ in L2(τ,T;Vg).

    The proof is similar to Lemma 3.2 of [7], so it is omitted.

    As we know, when uτn is bounded in Hg, fnΣ, tn+. If {Ufn(tn,τ)uτn} is precompact in Hg, then the family of processes {Uf(t,τ)},fΣ is asymptotically compact. So we construct an energy functional [,]:Vg×VgR as follows:

    [u,v]=ν((u,v))+ν2((gg,)u,v)+ν2((gg,)v,u)νλ14(u,v)+c(|u|β1u,v),u,vVg.

    Obviously [,] is bilinear and symmetric, and

    [u]2=[u,u]=ν||u||2+ν((gg)u,u)νλ14|u|2+c|u|β+1
    ν||u||2ν(|g|m0λ1/21+14)||u||2
    ν2||u||2. (4.2)

    Let |g| be sufficiently small in (4.2), such that |g|m0λ1/21<14. Hence

    ν2||u||2[u]232ν||u||2,uVg.

    Since

    ddt|u|2+vλ12|u|2+2[u]2=2(f,u),

    Given u=u(t)=Uf(t,τ)uτ,uτHg,tτ0, Then we have

    |Uf(t,τ)uτ|2=|uτ|2eνλ1(tτ)/2+2tτeνλ1(ts)/2((f,Uf(s,τ)uτ)[Uf(s,τ)uτ]2)ds.

    That is uτHg,tτ0, we obtain

    |Uf(t,τ)uτ|2=|uτ|2eνλ1(tτ)/2
    +2tτ0eνλ1(tτs)/2((T(τ)f(s),UT(τ)f(s,0)uτ)[UT(τ)f(s,0)uτ]2)ds.

    Lemma 4.3 Let {Uf(t,τ)}fΣ is the family of processes of Eq (1.1), then {Uf(t,τ)}fΣ is uniformly asymptotically compact.

    Proof. Let BHg is bounded, uτnB,fnΣ and tnR+ is satisfied tn+(n+). From Lemma 4.1, we have a constant M(B,τ)>τ and

    Uf(t,τ)BB0,tM(B,τ),fΣ.

    There exists sufficiently large tnM(B,τ), such that Ufn(tn,τ)BB0. then {Ufn(tn,τ)uτn} is weakly precompact in Hg. For wB0Hg, we can deduce that Ufns(tns,τ)uτns is weakly convergent to w in Hg. Similarly T>0 and tnsT+M(B,τ), we obtain Ufns(tnsT,τ)uτnsB0. The same to wTB0, we can take ns, T>0, so we have utns=Ufns(tnsT,τ)uτns is weakly convergent to wT in Hg. According to the definition of process and translation operator, we have

    Ufns(tns,τ)=UT(tnsT)fns(T,0)Ufns(tnsT,τ).

    Let gT,ns=T(tnsT)fns, we denote limnsHw as weak limit in Hg, then

    w=limnsHwUfns(tns,τ)uτns=limnsHwUgT,ns(T,0)utns=UgT(T,0)wT,

    thus

    |w|lim infns|Ufns(tns,τ)uτns|=lim infns|UgT,ns(T,0)utns|.

    Now we will prove

    lim supns|Ufns(tns,τ)uτns||w|.

    T>0, we have wk=UgkT(T,0)wT. When tnsT+M(B,τ), we obtain

    UgkT,ns(T,0)utns
    =2t0eνλ1(Ts)/2((gkT,ns(s),UgkT,ns(s,0)utsn)[UgkT,ns(s,0)utns]2)ds+|utns|2eνλ1T/2

    Obviously

    lim supns(eνλ1T/2|utns|2)ρ20eνλ1T/2.

    From Lemma 4.2, we obtain

    T0eνλ1T/2[UgkT(s,0)wT]2dslim infnsT0eνλ1T/2[UgkT,ns(s,0)utns]2ds.

    So

    lim supns2T0eνλ1T/2[UgkT,ns(s,0)utns]2ds
    =2lim infnsT0eνλ1T/2[UgkT,ns(s,0)utns]2ds
    2T0eνλ1T/2[UgkT(s,0)wT]2ds.

    For

    limnsT0eνλ1(Ts)/2(gkT,ns(s),UgkT,ns(s,0)utns)ds=T0eνλ1(Ts)/2(gkT(s),UgkT(s,0)wT)ds

    thus

    lim supns|UgkT,ns(T,0)utns|22T0eνλ1(Ts)/2((gkT(s),UgsT(s,0)wT)[UgsT(s,0)wT]2)ds
    +ρ20eνλ1T/2.

    From wk=UgsT(s,0)wT, we have

    |wk|2=|UgsT(s,0)wT|2
    =eνλ1T/2|wT|2+2T0eνλ1(Ts)/2((gkt(s),UgkT(s,0)wT)[UgkT(s,0)wT]2)ds.

    T>0, we have

    lim supns|UgkT,ns(T,0)utns|2|wk|2+(ρ20|wT|2)eνλ1T/2|wk|2+ρ20eνλ1T/2.

    From w=UgT(T,0)wT, by the Lemma 3.3 of [7] and Lemma 4.2, we can obtain wkw in Hg. So there exists any sufficiently small ε>0, such that |wk|2|w|2+ε. Since

    supns+|Ufns(tns,τ)uτns|2=supns+|UgT,ns(T,0)utns|2|w|2+ε+ρ20eνλ1T/2.

    When ε0, T, we have

    lim supns|Ufns(tns,τ)uτns|2|w|2.

    Let BHg be any bounded set, we have

    ωτ,Σ(B)=tτ¯fΣstUf(s,τ)B.

    and vωτ,Σ(B) iff there exists a sequence vnB,fnΣ,tn[τ,+). When n, we have tn+ and Ufn(tn,τ)vnv in Hg. When {Uf(t,τ)},fΣ} is uniformly asymptotically compact, t+, we have

    supfΣdistHg(Uf(t,τ)B,ωτ,Σ(B))0.

    We will obtain the minimization of the uniform attractor in the following.

    Lemma 4.4 Let {Uf(t,τ)},fΣ is any the family of processes, B0 is uniformly absorbing set, AΣ=ω0,Σ(B0). then AΣ is contained in any uniform absorbing set of {Uf(t,τ)},fΣ.

    Proof. τ>0,BHg, Suppose there is another bounded closed set PHg which satisfies

    limtsupfΣdistHg(Uf(t,τ)B,P)=0,

    where AΣ is not contained in the P. We deduce there is at least one vAΣ and vP. Since vAΣ=ω0,F(B0), From the definition of the uniform ω limit set, there is a sequence vnB,fnΣ,tn[τ,+), as n, we have tn+, then Ufn(tn,0)vnv is obtained in Hg. Given ˜vn=Ufn(tn,0)vn, when n+, There must be Ufn(tn,τ)˜vnv. Let ˜vnB, then we obtain vP, It is contradiction, so AΣP.

    Theorem 4.1 Let {Uf(t,τ),fΣ} is a family of processes of Eq (1.1), Then the process family has a unique compact uniform attractor AΣHg. where AΣ=ω0,Σ(B0), B0 is any uniform absorbing set corresponding to a family of processes.

    When f(x,t)=f(x,w1(t),w2(t),,wk(t)) is a quasi-periodic function, That is, there exists a set of rational independent real numbers α1,,αk which satisfies f(x,α1t,,αit+2π,,αkt)=f(x,α1t,,αit,,αkt)(1ik). Here w1(t+α1)=w1(t),w2(t+α2)=w2(t),,wk(t+αk)=wk(t) and α1,α2,,αk are rational independent.

    Let αt=(α1t,,αkt), α=(α1,,αk), w(t)=(w1(t),,wk(t))=[αt+w0]=(αt+w0)mod(2π)k, w0=(w01,,w0k)Tk=[0,2π]k,F(x,w(t))=f(x,t). we can obtain the following conclusion.

    Theorem 5.1 Let A is the uniform attractor of (1.1), then its Hausdorff and Fractal dimensions are estimated as follows:

    dH(A)4νm1λ1(C2q|f|22ν3λ1m1m2+G2kνm1λ1)+k+1.
    dF(A)16νm1λ1(C2q|f|22ν3λ1m1m2+G2kνm1λ1)+2k+2.

    where

    G=(ki=1|Fwi|2BC(Tk,Hg))12,
    m1=1+|g|m0λ1/21,m2=1|g|m0λ1/21.

    Proof. We transform the Eq (1.1) into the following forms of autonomous systems by semigroup S(t)(u0,w0)=(Uw0(t,0)u0,T1(t)w0),

    utνΔgu+B(u,u)+ν(gg)u+c|u|β1u+p=F(x,w(t)) (5.1)
    ddtw(t)=α (5.2)
    u|t=0=u0,u(t)|t=0=w0,u0Hg,w0Tk. (5.3)

    Let y(t)=(u(x,t),w(t))T, M(y(t))=(νΔguB(u,u)ν(gg)uc|u|β1up+F(x,w(t)),α)T.

    Then we can write the Eqs (5.1) and (5.2) as follows,

    y(t)t=M(y(t)) (5.4)
    y(t)|t=0=y0=(u0,w0) (5.5)

    y0A, where y(t)=(u(t),w(t))T is the solution of Eqs (5.1) and (5.2) and y0 as initial value. The linearized equation of (5.1) in y(t) is

    z(t)t=M(y(t))z (5.6)
    z(t)|t=0=z0 (5.7)

    In the equation of (5.6), z(t)=(v(t),w(t))T,μ(t)=(μ1(t),,μk(t)),z0=(v0,μ0)THg×Tk,

    M(y(t))z=(νΔgvB(v,u)B(u,v)ν(gg)vc|u|β1v˜p+Fwu,0)T.

    while

    (M(y(t))z,z)=ν||v||2b(v,u,v)ν|g|m0λ1/21||v||2c|u|β1|v|2ΩFwuvdx
    ν||v||2+Ω|u||v|2dx+ν|g|m0λ1/21||v||2+c|u|β1λ1||v||2+Ω|Fwu||v|dx

    Let

    G=(ki=1|Fwi|2BC(Tk,H))1/2,

    then

    (M(y(t))z,z)ν(1|g|m0λ1/21c|u|β1λ1)||v||2+Ω|u||v|2dx+bG2|v|2+G2b|u|2.

    b is any positive constant, Let (M(y(t))z,z)=(M1v,v)+(M2μ,μ),

    M1v=ν(1|g|m0λ1/21c|u|β1λ1)Δgv+(|u|+bG2)v,M2μ=G2bIkμ.

    Ik is identity operator in Rk. Thus operator

    ~M1=(M100M2)

    is block operator, (v1,0),,(vnk,0) are respectively solution of (2.7) with (ξ1,0),,(ξnk,0) as the initial value, where ξ1,,ξnk is linearly independent basis in Hg, ϕ1,,ϕnk is unit orthogonal basis of span{v1,,vnk}, ˜μnk+1,,˜μn is unit orthogonal basis of Rk, then (ϕ1,0),,(ϕnk,0), (0,˜μnk+1),,(0,˜μn) is unit orthogonal basis of Hg×Rk. Let θi=(ϕi,0)(i=1,,nk),vi=(0,~μi),(nk+1in).

    qn=limTinfsupy0A(1TT0n1(M(y(s))θi,θi)ds).
    n1(M(y(s))θi,θi)ν(1|g|m0λ1/21c|u|β1λ1)nki=1||φi||2+||u||(Ω(nki=1|ϕi|2)2dx)1/2+bG2(nk)+G2bk.

    We make m1=1|g|m0λ1/21c|u|β1λ1, then

    n1(M(y(s))θi,θi)νm1nki=1||φi||2+||u||(Ω(nki=1|ϕi|2)2dx)1/2+bG2(nk)+G2bk
    νm12nki=1||φi||2+C2q2νm1||u||2+bG2(nk)+G2bk.

    We take b=νm1λ12G, then

    n1(M(y(s))θi,θi)νm1λ14(nk)+C2q2νm1||u||2+G2kνm1λ1.

    Since

    12ddt|u|2+ν||u||2=(f,u)ν((gg)u,u)ν(|u|β1u,u),
    ddt|u|2+2ν||u||2|f|2νλ1+νλ1|u|2+2ν|g|m0λ1/21||u||2+ν|u|β1λ1||u||2.

    That is

    ddt|u|2+ν(12|g|m0λ1/21|u|β1λ1)||u||2|f|2νλ1.

    We take m2=12|g|m0λ1/21|u|β1λ1, then

    ddt|u|2+νm2||u||2|f|2νλ1.

    So ||u||2|f|2ν2λ1m2. therefore

    qnνm1λ14(nk)+C2q|f|22ν3λ1m1m2+G2kνm1λ1.

    Let

    n0=[4νm1λ1(C2q|f|22ν3λ1m1m2+G2kνm1λ1)]+k+1,

    where [] denotes trunc, then we have qn0<0. so

    dH(A)4νm1λ1(C2q|f|22ν3λ1m1m2+G2kνm1λ1)+k+1.

    We take another

    n1=[8νm1λ1(C2q|f|22ν3λ1m1m2+G2kνm1λ1)]+k+1,

    then qn1<0, and max1jn11(qj)+qn1<1, thus

    dF(A)16νm1λ1(C2q|f|22ν3λ1m1m2+G2kνm1λ1)+2k+2.

    In this paper, using a priori estimates of the solutions and the energy equation method, we show how to control the nonlinear dampness and obtain the uniform attractor of the g-Navier-Stokes equation on unbounded domain. Meanwhile, the dimension of the uniform attractor is estimated in the quasi-periodic case. The methods in this paper can bring some inspiration for the research of 3D Navier-Stokes equations in the future.

    From a theoretical point of view, it is important to analysis the connection between Navier-Stokes equations and g-Navier-Stokes equations. So it is of great significance to study the dynamics for the g-Navier-Stokes equations. To obtain more research results for the study of g-Navier-Stokes equations in the next research, we may continue the research in this line, extending the case of Lebesgue space L2 to the case of L2,λ, for suitable 0<λ<2. On the other hand, we may consider that the pullback asymptotic behavior of solutions for 2D g-Navier-Stokes equations with nonlinear dampness on the unbounded domain.

    The author would like to thank the referees for the helpful suggestions. This work is supported by the National Natural Science Foundation of China (NSFC) (Grant No. 11971378).

    The authors declare this work does not have any conflicts of interest.

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