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Review

Sedentary behavior and health outcomes in older adults: A systematic review

  • Introduction Older adults (≥ 60 years old) report prolonged periods of sedentary behavior. Sedentary behavior is a potential health hazard for this priority population. Therefore, we systematically reviewed the published literature to document the relationships among sedentary behaviors and twelve health outcomes ranging from mental health to mortality.
    Methods Major databases were searched from 2013 to 2019; 27 relevant articles were found and evaluated. In addition, we compared our findings to a previously published review.
    Results Higher levels of sedentary behavior were related to an increased risk of all-cause mortality and adversely associated with metabolic syndrome, triglycerides/high density lipoprotein cholesterol/blood glucose, HBA1C/glucose intolerance, waist circumference, and obesity/overweight when compared to those with lower levels of sedentary behavior. Findings for blood pressure, cancer, and mental health (e.g., dementia, mild cognitive impairment, psychological well-being) were insufficient to draw conclusions or had inconsistent results. Because some sedentary behaviors were protective for mental health, we recommend a taxonomy of sedentary behaviors for older adults to provide insights into these seemingly discrepant findings. Some of our findings were similar to a prior review while other findings were different.
    Conclusion This systematic review identified the health outcomes that were sufficiently, insufficiently, or not affected by sedentary behavior. To advance the field, we recommend better methodological quality. To improve the overall health and wellbeing of older adults, future studies should evaluate interventions to decrease health-compromising and increase health-promoting sedentary behaviors among older adults.

    Citation: Wendell C. Taylor, Kevin Rix, Ashley Gibson, Raheem J. Paxton. Sedentary behavior and health outcomes in older adults: A systematic review[J]. AIMS Medical Science, 2020, 7(1): 10-39. doi: 10.3934/medsci.2020002

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  • Introduction Older adults (≥ 60 years old) report prolonged periods of sedentary behavior. Sedentary behavior is a potential health hazard for this priority population. Therefore, we systematically reviewed the published literature to document the relationships among sedentary behaviors and twelve health outcomes ranging from mental health to mortality.
    Methods Major databases were searched from 2013 to 2019; 27 relevant articles were found and evaluated. In addition, we compared our findings to a previously published review.
    Results Higher levels of sedentary behavior were related to an increased risk of all-cause mortality and adversely associated with metabolic syndrome, triglycerides/high density lipoprotein cholesterol/blood glucose, HBA1C/glucose intolerance, waist circumference, and obesity/overweight when compared to those with lower levels of sedentary behavior. Findings for blood pressure, cancer, and mental health (e.g., dementia, mild cognitive impairment, psychological well-being) were insufficient to draw conclusions or had inconsistent results. Because some sedentary behaviors were protective for mental health, we recommend a taxonomy of sedentary behaviors for older adults to provide insights into these seemingly discrepant findings. Some of our findings were similar to a prior review while other findings were different.
    Conclusion This systematic review identified the health outcomes that were sufficiently, insufficiently, or not affected by sedentary behavior. To advance the field, we recommend better methodological quality. To improve the overall health and wellbeing of older adults, future studies should evaluate interventions to decrease health-compromising and increase health-promoting sedentary behaviors among older adults.


    In the past few decades, fractional partial differential equations (FPDEs) have received extensive attention in studies of nonlinear fields such as physics, science, biology, chemistry, mathematics, electronics, viscoelasticity, signal processing and soft materials. Obtaining the exact solutions of nonlinear FPDEs is one of the most significant goals of the research process for FPDEs. A large number of papers have presented many effective methods for constructing explicit solutions of FPDEs, such as Lie symmetry analysis [1,2,3,4,5], the Laplace transform [6], the Adomian decomposition method [7], the variational iteration method [8], the homotopy analysis method [9], the separation of variables method [10], the invariant subspace method [11], the extended direct algebraic method [12], Chebyshev series method [13], etc.

    Lie symmetry analysis is a very useful tool in constructing exact solutions for nonlinear partial differential equations (PDEs). As a result of applying the Lie symmetry method, many kinds of exact solutions for integer-order PDEs have been obtained, such as similarity solutions, fundamental solutions and traveling wave solutions [14,15]. Inspired by the Lie symmetry of integer-order PDEs, researchers have extended and applied the Lie symmetry method to investigate FPDEs and constructed the group invariant solutions for numerous FPDEs. For example, Hu et al. [16] studied the exact solutions for the time-fractional KdV-type equation. Leo et al. [17] provided a general theoretical framework to extend the classical Lie theory for PDEs to the case of equations of fractional order. Wang et al. [18] performed Lie symmetry analysis on the time-fractional Harry Dym equation and constructed group invariant solutions. Lashkarian et al. [19] considered the Lie group analysis and obtained the explicit solutions of the time-fractional cylindrical Burgers equation. In addition, Erdélyi-Kober (E-K) fractional differential operators [17] can be used to establish the exact solutions for FPDEs; for instance, Cheng and Wang [20] constructed the power-series solutions to (2+1)-dimensional time-fractional Navier-Stokes equation by using an E-K fractional differential operator. In [21], Zhang and Li achieved explicit solutions to the time-fractional b-family peakon equations, which contain the mixed derivative that encompasses the time-fractional derivative and integer-order x-derivative.

    Conservation laws play an important role in mathematical physics as a means to study some properties of solutions to nonlinear PDEs, and they can describe the invariable properties of the values of some physical models in nature, such as momentum, energy, mass, potential energy, electric charge and so on. It is well-known that Noether's theorem establishes a close connection between Lie symmetries and the conservation laws of PDEs [22]. Ibragimov presented a new conservation theorem in [23], and he obtained the conservation laws for PDEs without classical Lagrange equations. In recent years, Lie symmetry analysis and the conservation laws for many PDEs have been discussed, such as those for various wave equations [24], reaction-diffusion equations [25], the Rosenau-KdV-RLW equation [26], time-fractional Cahn-Allen and Klein-Gordon equations [27] and the time-fractional Caudrey-Dodd-Gibbon-Sawada-Kotera equation [28].

    Nonlinear equations take the form

    (i)ai(u,ux,)DitL[u]=(j)bj(u,ux,)DjxL[u],

    with arbitrary coefficients ai(), bj() and annihilating operator L=I+d2dx2, and they are called tautological PDEs [29], which are also referred to as multi-term time-fractional differential equations. Motivated by [21], in this paper, we focus on the study of multi-term time-fractional equations, particularly the time-fractional Benjamin-Bona-Mahony-Peregrine (BBMP) equation and time-fractional Novikov equation, respectively. The BBMP equation first proposed by Peregrine [30] was derived from the Korteweg-de Vries equation. The BBMP equation is commonly used to study long waves in the shallow water of ocean beaches, drift waves in plasma and the Rossby waves in rotating fluids [31]. The BBMP equation is also known as the regularized long-wave equation. This paper focuses on the time-fractional BBMP equation, which has the following form:

    αtuαt(uxx)uux=0, (1.1)

    where 0<α<1, u=u(x,t) is the unknown function, xR is a space variable and t>0 is the time variable. In particular, when α=1, Eq (1.1) reduces to the classical BBMP equation, which has a wide range of applications in the development of optical equipment, semiconductors [32], etc. Khalique [33] utilized Lie group analysis to obtain the periodic solutions and soliton solutions and derived the conservation laws for the classical BBMP equation.

    The Novikov equation is an extremely classical integrable evolution equation, which is thought to be a generalization of the Camassa-Holm equation and originally discovered by Vladimir Novikov [34], who has used it to describe fluid motion in shallow water environments. In [34], Novikov discovered the first few symmetries and studied a scalar Lax pair of the equation. In this paper, we pay attention to the time-fractional Novikov equation, which is given by

    αtuαt(uxx)+4u2ux3uuxuxxu2uxxx=0, (1.2)

    where 0<α<1 and u=u(x,t) is the unknown function of space variable x and time variable t.

    In view of the non-locality property of fractional derivatives, time-fractional PDEs can be used to describe problems with memory effects and genetic characteristics in real life. Thus, there is practical significance in a study of the time-fractional equations given by Eqs (1.1) and (1.2). To our knowledge, equations containing a time fractional-order mixed derivative and spatial integer-order derivative have rarely been studied, while Eqs (1.1) and (1.2) are such equations. Therefore, in this paper, we will construct the exact solutions of Eqs (1.1) and (1.2) through the use of Lie symmetry analysis and symmetry reduction. Moreover, in view of the difficulty in solving ordinary differential equations (ODEs), we introduce the E-K fractional differential operator to transform Eqs (1.1) and (1.2) into ODEs with only a single variable, and we obtain their power series solutions. In addition, the q-homotopy analysis method and invariant subspace method may be used to discuss the exact solutions of the time-fractional equations given by Eqs (1.1) and (1.2), while, in this paper, we take no account of these methods.

    This paper is organized as follows. In Section 2, we will give some basic knowledge and properties of fractional calculus. Section 3 is fully dedicated to obtaining the Lie symmetry groups and exact solutions of the time-fractional BBMP equation and time-fractional Novikov equation. First, we will introduce the Lie symmetry method for general time-fractional PDEs with the Riemann-Liouville derivative. Next, infinitesimal generators for Eqs (1.1) and (1.2) will be constructed, respectively. Then, based on the obtained Lie algebras, we perform symmetry reduction and obtain the group-invariant solutions of the equations under consideration. In addition, by using the E-K fractional differential operator, the power-series solutions for Eqs (1.1) and (1.2) is also constructed. In Section 4, conservation laws for the time-fractional BBMP equation are obtained. At last, we will show the conclusion of this paper.

    The purpose of this section is to review some basic properties of the Riemann-Liouville fractional integral and derivative [35], which will be used throughout this paper. Meanwhile, we will give the definition of the E-K fractional differential operator [17].

    Definition 2.1. [35] The αth-order Riemann-Liouville integral operator of v(t) is defined by

    Iαtv(t)=1Γ(α)t0(ts)α1v(s)ds, (2.1)

    where Γ(x)=0ezzx1dz is the gamma function.

    Definition 2.2. [35] The symbol αtu represents the αth-order Riemann-Liouville derivative, denoted as

    αtu={nutn,α=n,1Γ(nα)ntnt0(ts)nα1u(x,s)ds,0<n1<α<n, (2.2)

    where u=u(x,t) is the function of the space variable x and time variable t, and ntn is the nth-order integer derivative. Moreover, the Riemann-Liouville derivative can be expressed as

    αtu=Dn(Inαt)u, (2.3)

    where D is the differential operator and n=[α]+1.

    Definition 2.3. [35] The adjoint operator (αt) of the Riemann-Liouville fractional differential operator αt is given by

    (αt)f(t)=(1)nInαdndtnf(t)=(1)nΓ(nα)t0(ts)nα1dndsnf(s)ds, (2.4)

    where Inα denotes the Riemann-Liouville integral operator.

    Definition 2.4. [17] The E-K fractional differential operator Pτ,αβ of order α is defined by

    (Pτ,αβF)(ξ)=m1j=0(τ+j1βξddξ)(Kτ+α,mαβF)(ξ), (2.5)

    where

    m={[α]+1,αN,α,αN,

    and

    (Kτ,αβF)(ξ)={1Γ(α)1(v1)α1v(τ+α)F(ξv1β)dv,α>0,F(ξ),α=0. (2.6)

    Lemma 2.1. [36] Let 0<γ1 and k1R. The solution of the fractional ODE

    γtg(t)=0

    is given by

    g(t)=k1tγ1.

    Consider the symmetry group for a time-fractional PDE of the following form:

    F(αtu,αt(uxx),t,x,u,ux,uxx,)=0,0<α<1, (3.1)

    where u=u(x,t) denotes the unknown function of the space variable x and time variable t. Suppose that Eq (3.1) remains invariant under the one-parameter Lie group of infinitesimal transformations given by

    {x=x+ϵξ(x,t,u)+o(ϵ2),t=t+ϵτ(x,t,u)+o(ϵ2),u=u+ϵη(x,t,u)+o(ϵ2),

    where ϵ1 is the group parameter and ξ, τ and η are smooth functions called infinitesimal generators. The admitted one-parameter Lie group of infinitesimal transformation has the following form:

    V=ξ(x,t,u)x+τ(x,t,u)t+η(x,t,u)u. (3.2)

    The Lie invariance criterion for time-fractional PDE (3.1) is

    Pr(α,n)V(Δ)|Δ=0=0, (3.3)

    where Δ=F(αtu,αt(uxx),t,x,u,ux,uxx,) and n is a nonnegative integer.

    The operator Pr(α,n)V denotes the prolongation of field vector V, and it is defined by

    Pr(α,n)V=V+ηα,t(αtu)+ηα,xx(αtuxx)+ηxux+ηxxuxx+, (3.4)

    where

    ηα,t=Dαt(η)+ξDαt(ux)Dαt(ξux)+Dαt(u(Dtτ))Dα+1t(τu)+τDα+1t(u),ηα,xx=Dαt(D2x(ηξuxτut))+ξαt(uxxx)+ταt(utxx),ηx=Dx(ηξuxτut)+ξuxx+τutx,ηxx=Dxx(ηξuxτut)+ξuxxx+τutxx, (3.5)

    In Eq (3.5), Dt and Dx represent the total derivatives, respectively given by

    Dt=t+utu+uttut+uxtux+,Dx=x+uxu+uxxux+utxut+. (3.6)

    The αth-order extended infinitesimal ηα,t given by Eq (3.5) can be expressed as follows [37]:

    ηα,t=αtη+(ηuαDt(τ))αtuuαtηun=1(αn)Dnt(ξ)Dαnt(ux)+n=1((αn)αtηu(αn+1)Dn+1t(τ))Dαnt(u)+μα, (3.7)

    where

    μα=n=2nm=2mk=2k1r=0(αn)(nm)(kr)1k!tnαΓ(n+1α)(u)r×mtm(ukr)nm+kηtnmuk (3.8)

    and

    (nk)=n(n1)(nk+1)k!.

    Similarly, the expression of ηα,xx is defined by [21]

    ηα,xx=αt(ηxx+(2ηuxξxx)uxτxxut+(ηuu2ξux)u2xξuuu3x2τuxuxutτuuu2xut)+αt(uxx)(ηuαDt(τ)2ξxτuut3ξuux)+n=1((αn)Dnt(ηu2ξxτuut3ξuux)(αn+1)Dn+1t(τ))αnt(uxx)2n=0(αn)DntDx(τ)αnt(uxt)n=1(αn)Dnt(ξ)αnt(uxx). (3.9)

    In this subsection, through the Lie symmetry analysis given in Section 3.1, we obtain the Lie symmetry group and infinitesimal generators of the time-fractional BBMP equation given by Eq (1.1).

    Theorem 3.1. The Lie point symmetries admitted by Eq (1.1) are

    V1=x,V2=ttαuu. (3.10)

    Proof. In view of the Lie symmetry analysis given in Section 3.1, the Lie invariance criterion for Eq (1.1) is

    (ηα,tηα,xxuηxuxη)|(1.1)=0. (3.11)

    Inserting Eqs (3.5), (3.7) and (3.9) into the invariance condition given by Eq (3.11) and equating the coefficients of the partial derivatives ut,ux,uxx,, fractional derivatives αntu,αntux, αtuxx and powers of u, we can obtain the following over determined equations:

    {ξx=ξt=ξu=τx=τu=0,(αn)ntηu(αn+1)Dn+1tτ=0,nN,η+αuDtτ=0,αtηuαtηuuηx=0. (3.12)

    Solving Eq (3.12), the infinitesimal generators can be expressed as follows:

    ξ=C1,τ=C2t+C3,η=αuC2, (3.13)

    where Ci(i=1,2,3) are arbitrary constants. Moreover, noticing that the initial condition

    τ(t,x,u)|t=0=0 (3.14)

    holds for all time-fractional PDEs, the vector fields of Eq (1.1) can be expressed in the form of Eq (3.10).

    This subsection is devoted to the investigation of Lie point symmetry of the time-fractional Novikov equation given by Eq (1.2).

    Theorem 3.2. Lie algebras admitted by the fractional Novikov equation expressed as Eq (1.2) are spanned by the following vector fields:

    V1=x,V2=2ttαuu. (3.15)

    Proof. The invariance criterion given by Eq (3.3) of Eq (1.2) can be represented in the following form:

    (ηα,tηα,xx+(4u23uuxx)ηx3uuxηxxu2ηxxx+(8uux3uxuxx2uuxxx)η)|(1.2)=0, (3.16)

    where ηα,t,ηα,xx,ηx,ηxx and ηxxx are defined by Eqs (3.5), (3.7) and (3.9).

    Equating the coefficients of fractional derivatives, partial derivatives and various powers of u to be zero, the over determined equations can be constructed as follows:

    {ξx=ξt=ξu=τx=τu=0,(αn)ntηu(αn+1)Dn+1tτ=0,nN,αtηuαtηu+4u2ηxu2ηxxx=0,αuτt+2η=0. (3.17)

    Solving the above over determined equation given by Eq (3.17), we can deduce that

    ξ=C1,τ=2tC2+C3,η=αuC2, (3.18)

    where C1, C2 and C3 are arbitrary parameters.

    In view of the initial condition τ(t,x,u)|t=0=0, the infinitesimal generators of Eq (1.2) are given by Eq (3.15).

    In the previous section, we obtained the infinitesimal generators for the time-fractional BBMP equation and Novikov equation. In this section, we are ready to perform symmetry reductions and construct their exact solutions. Moreover, the power-series solutions are also obtained through the use of the E-K fractional differential operator.

    In this subsection, we perform the similarity reduction of the time-fractional BBMP equation given by Eq (1.1), and then the exact solutions are calculated correspondingly.

    Case1. V1=x. According to the characteristic equation of Eq (1.1), i.e.,

    dt0=dx1=du0,

    we deduce two independent similarity variables t and u. Thus we get the group-invariant solution of Eq (1.1) with the form u(x,t)=g(t), where g(t) satisfies the fractional ODE

    αtg(t)=0.

    By virtue of Lemma 2.1, we obtain

    g(t)=k1tα1. (3.19)

    Therefore, the group-invariant solution of Eq (1.1) is

    u(x,t)=k1tα1. (3.20)

    Case2. V2=ttαuu. Considering the characteristic equation

    dtt=dx0=duαu,

    the similarity variables x and tαu are obtained. Thus the group-invariant solution of Eq (1.1) is

    u(x,t)=tαg(x), (3.21)

    where g(x) satisfies the equation

    gggg=Γ(1α)Γ(12α).

    Solving the above equation, we find that

    g(x)=C+Γ(1α)Γ(12α)x (3.22)

    and C is an arbitrary constant.

    Plugging Eq (3.22) into Eq (3.21) yields the following exact solution of Eq (1.1):

    u(x,t)=Ctα+Γ(1α)Γ(12α)tαx. (3.23)

    Case3. V3=ρV1+V2=ρx+ttαuu, where ρ is a nonzero constant. In this case, we consider the power-series solution with the help of E-K fractional operators for Eq (1.1). Solving the characteristic equation

    dtt=dxρ=duαu

    leads to the similarity variables

    ξ=extρ,u=tαg(ξ), (3.24)

    where g is an undetermined function with a new independent variable ξ=extρ. Thus, one can obtain the following theorem.

    Theorem 3.3. The similarity transformations given by Eq (3.24) reduce the BBMP equation given by Eq (1.1) to the following form:

    (P12α,α1ρg)(ξ)ξ(P12αρ,α1ρg)(ξ)ξ2(P12α2ρ,α1ρg)(ξ)ξgg=0. (3.25)

    Proof. Based on the definition of the Riemann-Liouville derivative given by Eq (2.2), we have

    αtu=1Γ(1α)tt0(ts)αsαg(exsρ)ds. (3.26)

    Setting v=ts, and due to Eqs (2.5) and (2.6), Eq (3.26) can be written as

    αtu=t[t12α1Γ(1α)1(v1)αv2α2g(ξvρ)dξ]=t[t12α(K1α,1α1ρg)(ξ)]=t2α(12αρξddξ)(K1α,1α1ρg)(ξ)=t2α(P12α,α1ρg)(ξ). (3.27)

    As for αt(uxx), we have

    αtuxx=αt(tαξg(ξ))+αt(tαξ2g(ξ)). (3.28)

    On one hand, similar to Eqs (3.26) and (3.27), one obtains

    αt(tαξg(ξ))=t[exΓ(1α)t0(ts)αsαρg(exsρ)ds]=t[1Γ(1α)t12αξ1(v1)αv2α+ρ2g(ξvρ)dv]=t[t12αξ(K1αρ,1α1ρg)(ξ)]=t2αξ(12αρρξddξ)(K1αρ,1α1ρg)(ξ)=t2αξ(P12αρ,α1ρg)(ξ). (3.29)

    On the other hand, we obtain

    αt(tαξ2g(ξ))=t[e2xΓ(1α)t0(ts)αsα2ρg(exsρ)ds]=t[1Γ(1α)t12αξ21(v1)αv2α+2ρ2g(ξvρ)dv]=t[t12αξ2(K1α2ρ,1α1ρg)(ξ)]=t2αξ2(12α2ρρξddξ)(K1α2ρ,1α1ρg)(ξ)=t2αξ2(P12α2ρ,α1ρg)(ξ). (3.30)

    Therefore, combine Eqs (3.28) and (3.29) with Eq (3.30) to get

    αtuxx=t2αξ(P12αρ,α1ρg)(ξ)+t2αξ2(P12α2ρ,α1ρg)(ξ). (3.31)

    Substituting Eqs (3.27) and (3.31) into Eq (1.1) yields that Eq (3.25) holds to be true.

    In what follows, we intend to use the power-series method to construct the exact solutions for Eq (3.25). Suppose that Eq (3.25) admits the power-series solution

    g(ξ)=n=0anξn, (3.32)

    where an(n=0,1,2,) are constants which will be determined later. Then, we have

    g(ξ)=n=1nanξn1,g(ξ)=n=2(n1)nanξn2. (3.33)

    Next, with the help of Eq (3.33), we consider the following E-K fractional differential operator:

    (P12α,α1ρg)(ξ)=(12αρξddξ)(K1α,1α1ρg)(ξ)=(12αρξddξ)1Γ(1α)1(v1)αv2α2n=0an(ξvρ)ndv=n=0Γ(1αρn)Γ(12αρn)anξn. (3.34)

    Similar to Eq (3.34), we can also obtain

    (P12αρ,α1ρg)(ξ)=(12αρρξddξ)(K1αρ,1α1ρg)(ξ)=n=0Γ(1αρn)Γ(12αρn)nanξn1 (3.35)

    and

    (P12α2ρ,α1ρg)(ξ)=(12α2ρρξddξ)(K1α2ρ,1α1ρg)(ξ)=n=0Γ(1αρn)Γ(12αρn)n(n1)anξn2. (3.36)

    Therefore, inserting Eqs (3.32)–(3.36) into Eq (3.25) yields that

    n=0Γ(1αρn)Γ(12αρn)(1n2)anξnn=1nm=1mamanmξn=0. (3.37)

    When n=1, by comparing coefficients of ξ, we obtain

    a0=0,a1isanarbitraryconstant. (3.38)

    When n2, we have

    an=11n2Γ(12αρn)Γ(1αρn)nm=1mamanm. (3.39)

    Consequently, the power series solution for Eq (3.25) can be derived as follows:

    g(ξ)=a1ξ+n=211n2Γ(12αρn)Γ(1αρn)nm=1mamanmξn,n=2,3,4, (3.40)

    Substituting Eq (3.40) into Eq (3.24) leads to the exact solution of the BBMP equation given by Eq (1.1):

    u(x,t)=a1extαρ+n=211n2Γ(12αρn)Γ(1αρn)nm=1mamanmenxtαρn. (3.41)

    This subsection derives the similarity variables and their reduction equations and presents the exact solutions of the time-fractional equation given by Eq (1.2).

    Case1. V1=x. We find that the group-invariant solution of Eq (1.2) is u(x,t)=g(t), where g(t) is given by αtg(t)=0. Then we observe that the exact solution to Eq (1.2) is the same as that presented as Eq (3.20).

    Case2. V2=2ttαuu. The similarity variables of this infinitesimal generator are x and tα2u. Substituting u(x,t)=tα2g(x) into Eq (1.2) yields the following reduction equation:

    Γ(1α2)Γ(132α)gΓ(1α2)Γ(132α)g+4g2g3gggg2g=0.

    Case3. V3=λV1+V2=λx+2ttαuu, where λ is a nonzero constant. We can also obtain the following reduced equation for the field vector V3.

    Theorem 3.4. Induced by the general infinitesimal generator V3=λV1+V2, Eq (1.2) can be reduced to the following form:

    (P132α,α2λg)(z)z(P132αλ2,α2λg)(z)z2(P132αλ,α2λg)(z)+z(3g2g3zg(g)23z2ggg3zg2gz2g2g)=0, (3.42)

    where z=extλ2, g=utα2 and 0<α<1.

    Proof. For the infinitesimal generator V3=λV1+V2=λx+2ttαuu, the characteristic equation is given by

    dxλ=dt2t=duαu.

    Solving the above equation yields the corresponding similarity variables extλ2 and tα2u; then, we obtain the similarity transformation

    u=tα2g(z), (3.43)

    where z=extλ2 and g is the function of z to be determined later. Thus, we get

    ux=tα2zg(z),uxx=tα2(zg(z)+z2g(z)),uxxx=tα2(zg(z)+3z2g(z)+z3g(z)). (3.44)

    In the sequel, we consider the time-fractional derivatives αtu and αt(uxx) in Eq (1.2) with 0<α<1, respectively. According to the definition of the Riemann-Liouville fractional derivative, one can obtain

    αtu=1Γ(1α)tt0(ts)αsα2g(exsλ2)ds. (3.45)

    Letting v=ts, and in view of Eq (2.6), Eq (3.45) can be converted to the following form:

    αtu=t[t132α1Γ(1α)1(v1)αv32α2g(zvλ2)dv]=t[t132α(K1α2,1α2λg)(z)]=t32α(132αλ2zddz)(K1α2,1α2λg)(z). (3.46)

    Then, utilizing the E-K fractional differential operator given by Eq (2.5), we obtain

    αtu=t32α(P132α,α2λg)(z). (3.47)

    As for αt(uxx), similar to Eqs (3.28), (3.29) and (3.30) in the last section, one obtains

    αtuxx=αt(tα2zg(z))+αt(tα2z2g(z))=t32αz(132αλ2λ2zddz)(K1α2λ2,1α2λg)(z)+t32αz2(132αλλ2zddz)(K1α2λ,1α2λg)(z)=t32α[z(P132αλ2,α2λg)(z)+z2(P132αλ,α2λg)(z)]. (3.48)

    Therefore, inserting Eqs (3.44), (3.47) and (3.48) into Eq (1.2), we verify Eq (3.42).

    In what follows, we are ready to obtain the explicit analytic solution for Eq (3.42) by using the power-series method. We first assume that Eq (3.42) has the power-series solution

    g(z)=1za0+n=1anzn, (3.49)

    where an(n=1,2,3,) are constants which will be determined later.

    Then, we have

    g(z)=1z2a0+n=1nanzn1,g(z)=2z3a0+n=2(n1)nanzn2,g(z)=6z4a0+n=3(n2)(n1)nanzn3. (3.50)

    Next, we calculate the E-K fractional differential operator. Analogous to Eqs (3.34), (3.35) and (3.36), one respectively obtains

    (P132α,α2λg)(z)=a0zΓ(1α2+λ2)Γ(132α+λ2)+n=1Γ(1α2λ2n)Γ(132αλ2n)anzn, (3.51)
    (P132αλ2,α2λg)(z)=a0z2Γ(1α2+λ2)Γ(132α+λ2)+n=1Γ(1α2λ2n)Γ(132αλ2n)nanzn1, (3.52)

    and

    (P132αλ,α2λg)(z)=2a0z3Γ(1α2+λ2)Γ(132α+λ2)+n=2Γ(1α2λ2n)Γ(132αλ2n)(n1)nanzn2. (3.53)

    Thus, substituting Eqs (3.50)–(3.53) into Eq (3.42), we have the following formula:

    n=2Γ(1α2λ2n)Γ(132αλ2n)(1n2)anzn+(1za0+n=1anzn)2(3a0z+n=1(4n2)nanzn)+(1za0+n=1anzn)(1za0+n=1nanzn)(3za0n=13n2anzn)=0. (3.54)

    Then, in view of the Cauchy product formula, Eq (3.54) can be converted to

    n=2Γ(1α2λ2n)Γ(132αλ2n)(1n2)anzn+a20n=0(1n2)(3+n)an+2zn+a0n=0n+1m=1m(2m23mn3m+4)aman+1mzn+a0n=1nm=1m(4m2)am+1anmzn+n=1nk=1km=1m(2m23mk+4)amakmankzn=0. (3.55)

    Hence, by vanishing the coefficients of different powers of z in Eq (3.55), we deduce that a0 and a3 are arbitrary constants, and that a2=a1. When n2, one obtains

    an+2=1(n21)(n+3)[Γ(1α2λ2n)Γ(132αλ2n)a20(1n2)an+1a0nm=0(m3+3m2+8m3n(m+1)2+3)am+1anm+1a20nk=1km=1m(2m23mk+4)amakmank]. (3.56)

    Insert Eq (3.56) into Eq (3.49) to obtain the power-series solution of Eq (3.42) as follows:

    g(z)=1za0+a1za1z2+a3z3+n=21(n21)(n+3)[Γ(1α2λ2n)Γ(132αλ2n)a20(1n2)an+1a0nm=0(m3+3m2+8m3n(m+1)2+3)am+1anm+1a20nk=1km=1m(2m23mk+4)amakmank]zn+2. (3.57)

    As a consequence, substituting Eq (3.57) into Eq (3.43), we can construct the explicit solution to Eq (1.2) as follows:

    u(x,t)=a0extλα2+a1extλ+α2a1e2xt2λ+α2+a3e3xt3λ+α2+n=21(n21)(n+3)[Γ(1α2λ2n)Γ(132αλ2n)a20(1n2)an+1a0nm=0(m3+3m2+8m3n(m+1)2+3)am+1anm+1a20nk=1km=1m(2m23mk+4)amakmank]e(n+2)xt(n+2)λ+α2. (3.58)

    Remark 3.1. In accordance with the method introduced in [38] and the explicit function theorem in [39], the power-series solutions given by Eqs (3.41) and (3.58) are convergent, and we omit the details of the proof.

    In this section, the conservation laws for the time-fractional BBMP equation given by Eq (1.1) will be investigated by using the new conservation theorem [23,40]. The vector (Ct,Cx) for Eq (1.1) that satisfies the equation

    (Dt(Ct)+Dx(Cx))|(1.1)=0 (4.1)

    is called the conserved vector, where Ct=Ct(t,x,u,), Cx=Cx(t,x,u,).

    The formal Lagrangian of Eq (1.1) can be represented as

    L=v(x,t)(αtuαt(uxx)uux), (4.2)

    where v(x,t) is a new dependent variable.

    The adjoint equation is given by

    F=δLδu=0; (4.3)

    here, δδu symbolizes the Euler-Lagrange operator defined by

    δδu=(αt)(αtu)+(αt)D2x(αtuxx)+uDxux+D2xuxx+, (4.4)

    where (αt) is the adjoint operator of αt that is defined by Eq (2.4).

    In view of Eqs (4.2) and (4.3), we can derive the adjoint equation of Eq (1.1) with the following form:

    (αt)v(αt)D2xvuxv+Dx(uv)=0. (4.5)

    Regarding the nonlinear self-adjointness of Eq (1.1), Eq (4.5) must be satisfied for all solutions of Eq (1.1) with the substitution

    v(x,t)=ψ(x,t,u),ψ(x,t,u)0. (4.6)

    The derivatives of Eq (4.6) are given as

    vx=ψx+ψuux,vxx=ψxx+2ψuxux+ψuuxx+ψuuu2x. (4.7)

    Substituting Eqs (4.6) and (4.7) into Eq (4.5), we obtain the following nonlinear self-adjointness expression:

    (αt)(ψψxx2ψuxuxψuuxxψuuu2x)+uψx+uψuux=0. (4.8)

    Solving the above Eq (4.8), we conclude that

    ψ(x,t,u)=C, (4.9)

    where C is a constant. Then, taking C=1, according to the vector fields described by Eq (3.10), as admitted by Eq (1.1), and the formulas of Lie characteristic functions Wi=ηiξiuxτiut(i=1,2), the characteristic functions can be expressed as follows

    W1=ux,W2=αutut. (4.10)

    The fractional Noether operator for the variable t is defined by [21]

    Cti=I1αt(Wi)L(αtu)I1αt(DxWi)DxL(αtuxx)+J(Wi,DtL(αtu))J(DxWi,DxDtL(αtuxx)), (4.11)

    where the operator J(f,g) is given by

    J(f,g)=1Γ(1α)t0Ttf(x,s)g(x,r)(rs)αdrds. (4.12)

    Equivalently, the fractional Noether operator for the component x of the conserved vector is introduced as follows:

    Cxi=DαtDx(Wi)L(αtuxx)Wi(αt)DxL(αtuxx)+Wi(LuxDxLuxx+D2xLuxxx)+Dx(Wi)(LuxxDxLuxxx)+D2x(Wi)Luxxx. (4.13)

    Therefore, with the help of Eqs (4.11) and (4.13), we construct the conservation laws for Eq (1.1), whose components of the conserved vectors are as follows:

    {Cx1=Dαt(uxx)+uux,Cx2=αDαt(ux)+Dαt(tuxt)+u(αu+tut), (4.14)

    and

    {Ct1=I1αt(ux),Ct2=αI1αt(u)I1αt(tut). (4.15)

    In this section, we provide the 3-D graphical interpretations of the exact solutions given by Eqs (3.23), (3.41) and (3.58) for the time-fractional BBMP equation and Novikov equation, respectively. Moreover, we will discuss the influence of the parameter α in Eqs (1.1) and (1.2) on solutions.

    Figure 1 shows the influence of fractional parameter α on u(x,t) in Eq (3.23) (i.e., a solution) of Eq (1.1). From Figure 1, we can observe that the maximum value of solution u(x,t) decreases as α increases when the constant C=1 and the points (x,t) are fixed. Particularly, the solution u(x,t) approaches zero with the increase of the parameter α from 0.25 to 0.9 when the points (x,t) are near the point (0, 0).

    Figure 1.  3-D plots of the exact solution given by Eq (3.23) for Eq (1.1), with C=1 and the parameter α as α=0.1,0.25,0.9.

    Figure 2 displays the effect of fractional parameter α on u(x,t) in Eq (3.23) (i.e., a solution) of Eq (1.1). The graphs show that the curvature of the graphs decreases as the fractional parameter α increases from 0.1 to 0.9.

    Figure 2.  3-D plots of the exact solution given by Eq (3.23) for Eq (1.1), with C=0.1 and the parameter α as α=0.1,0.25,0.9.

    Figure 3 shows the influence of fractional parameter α on u(x,t) in Eq (3.41) (i.e., a solution) of Eq (1.1). From Figure 3, we can find that the value of the solution u(x,t) increases as the fractional parameter α increases. In particular, the curvature of the plots increases as the fractional parameter α increases from 0.1 to 0.9 near the point (0, 0).

    Figure 3.  3-D plots of the exact solution given by Eq (3.41) for Eq (1.1), with the constants n=2, a0=0 and a1=ρ=1 and the parameter α=0.1,0.9.

    Figure 4 displays the effect of fractional parameter α on u(x,t) in Eq (3.58) (i.e., a solution) of Eq (1.2). The plots show that the value of the solution u(x,t) decreases as the fractional parameter α increases from 0.1 to 0.9.

    Figure 4.  3-D plots of the exact solution given by Eq (3.58) for Eq (1.2), with n=2, a0=a1=a3=λ=1 and α=0.1,0.9 respectively. We notice that the plots have a mutation at t=0.

    In this paper, in accordance with Lie symmetry analysis and the power-series method, the explicit solutions of the time-fractional BBMP equation and time-fractional Novikov equation have been successfully constructed. More specifically, we have established the Lie algebra admitted by Eqs (1.1) and (1.2) and obtained the group-invariant solutions by means of symmetry reductions. By using the fractional E-K operator, we have transformed Eqs (1.1) and (1.2) into ODEs (3.25) and (3.42) with only one variable, respectively, and constructed their power-series solutions. Moreover, the conservation laws for the time-fractional BBMP equation have been obtained by using the new Noether's theorem. In addition, we have constructed the 3-D graphs of corresponding exact solutions by using Maple software. In the future, we will devote ourselves to constructing exact solutions of Eqs (1.1) and (1.2) with the help of other methods, such as the q-homotopy analysis method, invariant subspace method, extended direct algebraic method, Chebyshev series method, etc.

    The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.

    The author would like to thank the editor and the anonymous referees for their valuable suggestions and comments, which have improved the presentation of this paper. This work was supported by the National Natural Science Foundation of China (Grant No. 12271433).

    All authors declare no conflict of interest.


    Acknowledgments



    There were no sources of funding of this study. This systematic review protocol was not published in a repository.

    Conflict of interest



    All authors declare no conflicts of interest in this paper.

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