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Research article

Periodic boundary value problem involving sequential fractional derivatives in Banach space

  • Received: 10 July 2020 Accepted: 17 September 2020 Published: 23 September 2020
  • MSC : 26A33, 34B15

  • In this paper, by the method of upper and lower solutions coupled with the monotone iterative technique, we investigate the existence and uniqueness results of solutions for a periodic boundary value problem of nonlinear fractional differential equation involving conformable sequential fractional derivatives in Banach space. An example is given to illustrate our main result.

    Citation: Xinwei Su, Shuqin Zhang, Lixin Zhang. Periodic boundary value problem involving sequential fractional derivatives in Banach space[J]. AIMS Mathematics, 2020, 5(6): 7510-7530. doi: 10.3934/math.2020481

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  • In this paper, by the method of upper and lower solutions coupled with the monotone iterative technique, we investigate the existence and uniqueness results of solutions for a periodic boundary value problem of nonlinear fractional differential equation involving conformable sequential fractional derivatives in Banach space. An example is given to illustrate our main result.


    In this work, we consider the following periodic boundary value problem (PBVP for short) in a Banach space E

    {D2αx(t)=f(t,x(t),Dαx(t)), t(0,1], 0<α1,x(0)=x(1), Dαx(0)=Dαx(1), (1.1)

    where f(t,x,y) is a continuous E-value function on [0,1]×E×E, Dα is the conformable fractional derivative of order α, D2α=DαDα is the conformable sequential fractional derivative.

    Sequential fractional derivative for a sufficiently smooth function g(t) due to Miller and Ross [1] is defined as Dδg(t)=Dδ1Dδ2Dδkg(t), here δ=(δ1,δ2,,δk) is a multi-index. In general, the operator Dδ can be Riemann–Liouville or Caputo or any other kind of differential operators. There is a close connection between the sequential fractional derivatives and the non-sequential derivatives [2]. Many research papers have appeared recently concerning the existence of solutions for fractional differential equations involving Riemann-Liouville or Caputo sequential fractional derivatives by techniques of nonlinear analysis such as fixed point theorems, coincidence degree continuation theorems and nonlinear alternatives, see, for example, the papers [3,4,5,6,7,8,9,10,11] and the references therein.

    In recent years, there has been a significant development in ordinary and partial differential equations involving fractional derivatives due to their wide range of applications in varied fields of science and engineering. Generally, for most of the fractional differential equations, it is difficult to find exact solutions in closed forms. In most cases, only approximate solutions or numerical solutions can be expected. Therefore, many iterative methods have been designed to be one of the suitable and successful classes of numerical techniques for obtaining the solutions of numerous types of fractional differential equations, see, for instance, [12,13,14,15,16] and the references therein. The monotone iterative technique, combined with the method of upper and lower solutions, is an effective technique for proving the existence of solutions for initial and boundary value problems of nonlinear differential equations. The basic idea of this method is that by choosing upper and lower solutions as two initial iterations, one can construct the monotone sequences for a corresponding linear equation and that converge monotonically to the extremal solutions of the nonlinear equation. Not only does this method give constructive proof for existence theorems but also the monotone behavior of iterative sequences is useful in the treatment of numerical solutions of various initial and boundary value problems. So many authors developed the upper and lower solutions method to investigate fractional differential equations, see, for example, [17,18,19,20,21,22,23] and the references therein.

    In [2], using the method of upper and lower solutions and its associated monotone iterative technique, the authors considered the existence of minimal and maximal solutions and uniqueness of solution of the following initial value problem for fractional differential equation involving Riemann-Liouville sequential fractional derivative

    {D2αy(t)=f(t,y(t),Dαy(t)), t(0,T], 0<α1,t1αy(t)|t=0=y0, t1αDαx(t)|t=0=y1,

    where f(t,x,y) is continuous on [0,1]×R×R.

    The nonlinear impulsive fractional differential equation with periodic boundary conditions

    {D2αu(t)=f(t,u,Dαu), t(0,T]{t1,,tm}, 0<α1,limt0+t1αu(t)=u(1), limt0+t1αDαu(t)=Dαu(1),limtt+j(ttj)1α(u(t)u(tj))=Ij(u(tj)),limtt+j(ttj)1α(Dαu(t)Dαu(tj))=¯Ij(u(tj)),

    is studied in [24], where Dα is the standard Riemann-Liouville fractional derivative and D2α=DαDα is the Riemann-Liouville sequential fractional derivative. Ij,¯IjC(R,R),j=1,2,,m. f is continuous at every point (t,u,v)[0,1]×R×R. The existence and uniqueness results of solutions are obtained by the method of upper and lower solutions and its associated monotone iterative technique.

    A new simple well-behaved definition of the fractional derivative called conformable fractional derivative has been presented very recently in [25]. This new definition is a natural extension of the usual derivative, and it satisfies some similar properties to the integer order calculus such as derivative of the product of two functions, derivative of the quotient of two functions and the chain rule. In [26] the author developed further the definitions and properties of conformable fractional derivative and integral.

    conformable fractional derivative: Given a function f:[0,)R, the conformable fractional derivative of f of order α(0,1] is defined by

    Dαf(t)=limε0f(t+εt1α)f(t)ε, t>0.

    If there exists conformable fractional derivative of f of order α(0,1] in some (0,a),a>0, and limt0+Dαf(t) exists, then define Dαf(0)=limt0+Dαf(t). Evidently, Dαf(t)=f(t) for α=1.

    conformable fractional integral: Given a function f:[0,)R, the conformable fractional integral of f of order α(0,1] is defined by

    Iαf(t)=t0τα1f(τ)dτ.

    The conformable sequential fractional derivative is proposed in [26]. Given a function f:[0,)R and α(0,1], the conformable sequential fractional derivative of f of order n is expressed by

    Dnαf(t)=DαDαDαntimesf(t), t>0.

    The physical and geometrical meaning of the conformable fractional derivative is interpreted in [27]. Several applications of the definition have shown the significance of conformable fractional derivative. For example, [28] discussed the potential conformable quantum mechanics, [29] discussed the conformable Maxwell equations, and [30,31] showed that the conformable fractional derivative models present good agreements with experimental data. For recent results on the existence, stability and oscillation of solutions for conformable fractional differential equations, we refer the reader to [32,33,34,35,36,37,38,39,40,41,42,43,44].

    The existence of solutions for periodic boundary value problem of impulsive conformable fractional integro-differential equation

    {tkDαx(t)=f(t,x,(Fx)(t),(Sx)(t)), tJ=[0,T]{t1,,tm}, 0<α1,x(0)=x(T), x(t+k)x(tk)=Ik(x(tk)), k=,2,,m,

    is studied in [33], where tkDα denotes the conformable fractional derivative of order α starting from tk, fC(J×R3,R), (Fx)(t)=t0l(t,s)x(s)ds, (Sx)(t)=T0h(t,s)x(s)ds, lC(D,R+),D={(t,s)J2:ts}, hC(J2,R+), IkC(R,R). By the method of upper and lower solutions in reversed order coupled with the monotone iterative technique, some sufficient conditions for the existence of solutions are established.

    In [42], applying the upper and lower solutions method and the monotone iterative technique, the authors investigated the existence of solutions to antiperiodic boundary value problem for impulsive conformable fractional functional differential equation

    {tkDαx(t)=f(t,x,x(ω(t))), tJ=[0,T]{t1,,tm}, 0<α1,x(0)=x(T), x(t+k)x(tk)=Ik(x(tk)), k=,2,,m,x(t)=x(0), t[r,0],

    where fC(J×R2,R), tkDα denotes the conformable fractional derivative of order α starting from tk, ωC(J,J+), J+=[r,T],r>0, trω(t),tJ and tk<ω(t)t,t(tk,tk+1], IkC(R,R).

    However, to the best of our knowledge, the existence of minimal and maximal solutions and uniqueness of solution for fractional PBVP (1.1) involving conformable sequential fractional derivatives in ordered Banach spaces have not been considered up to now. Inspired by above works, we apply the theory of noncompactness measure and the method of upper and lower solutions coupled with the monotone iterative technique to construct two monotone iterative sequences, and then prove that the sequences converge to the extremal periodic solutions of PBVP (1.1), respectively, under some monotonicity conditions and noncompactness measure conditions of f. Also, we prove minimal and maximal solutions are equal and thus we obtain the uniqueness of solution. Moreover, we give the existence and uniqueness results of periodic solutions of the non-sequential fractional differential equation.

    In this section, we introduce some notations, definitions and preliminary facts which are used throughout this paper. Let J=[0,1] and E be an ordered Banach space with the norm and the partial order "", whose positive cone P={xE,xθ} is normal with normal constant L, where θ denotes the zero element of E. Generally, C(J,E) denotes the ordered Banach space of all continuous E-value functions on the interval J with the norm xc=maxtJx(t) and the partial order "" deduced by the positive cone Pc={x:xC(J,E),x(t)θ}. Pc is also normal with the same normal constant L. Let Cα(J,E)={x:xC(J,E),DαxC(J,E)}, evidently, Cα(J,E) also is a Banach space with the norm xα=max{xc,Dαxc}. A function xCα(J,E) is called a solution of PBVP (1.1) if it satisfies the equation and the boundary conditions in (1.1).

    Now let us recall some fundamental facts of the notion of Kuratowski measure of noncompactness.

    Definition 2.1. ([45]) Let E be a Banach space and let ΩE be the family of bounded subsets of E. The Kuratowski measure of noncompactness is the map μ:ΩE[0,] defined by

    μ(B)=inf{ε>0:Bni=1Bi,diam(Bi)ε},here BΩE.

    Property 2.2. The Kuratowski measure of noncompactness satisfies some properties (for more details see [45]).

    (1) μ(B)=0¯B is compact (B is relatively compact), where ¯B denotes the closure of B.

    (2) μ(AB)=max{μ(A),μ(B)}.

    (3) μ(cB)=|c|μ(B),cR.

    Denote the Kuratovski noncompactness measures of bounded sets in C(J,E) and Cα(J,E) by μc and μcα, respectively. For any HC(J,E) and tJ, set H(t)={x(t):xH}E. If H is bounded in C(J,E), then H(t) is bounded in E, and μ(H(t))μc(H). Furthermore, we have the following well-known result.

    Lemma 2.3. ([45]) Let HC(J,E) be bounded and equicontinuous. Then μ(H(t)) is continuous on J and μc(H)=maxtJμ(H(t)).

    We can deduce the following useful result by Lemma 2.3.

    Lemma 2.4. Let HCα(J,E) be bounded and equicontinuous. Then

    μcα(H)=max{maxtJμ(H(t)),maxtJμ(DαH(t))},

    where DαH(t)={Dαx(t)|xH}E, tJ.

    Proof. Firstly, we prove that μcα(H)d=:max{maxtJμ(H(t)),maxtJμ(DαH(t))}. Noting that HC(J,E) and DαHC(J,E) are bounded and equicontinuous, by Lemma 2.3, we know

    μc(H)=maxtJμ(H(t))d, μc(DαH)=maxtJμ(DαH(t))d.

    Therefore, there exist V1,V2,,VnH and W1,W2,,WmH such that H=ni=1Vi=mj=1Wj and

    diamcVi<d+ε,  diamcDαWj<d+ε,  i=1,2,,n,j=1,2,,m, (2.1)

    where diamc() denotes the diameter of the bounded subset of C(J,E). At the same time, for any x1,x2Vi, by (2.1) we obtain

    x1(t)x2(t)d+ε. (2.2)

    Similarly, for y1,y2Wj, we have

    Dαy1(t)Dαy2(t)d+ε. (2.3)

    Let Hij={x:xVi,DαxDαWj}, i=1,2,,n,j=1,2,,m. According to (2.1), (2.2) and (2.3), we can get

    diamcHijd+ε,  diamcDαHijd+ε,

    this means diamcαHijd+ε,i=1,2,,n,j=1,2,,m. Then it follows from H=i=1,2,,nj=1,2,,mHij that μcα(H)d.

    On the other hand, for any ε>0, there exist HiH,i=1,2,,k such that H=ki=1Hi and diamcα(Hi)μcα(H)+ε. Hence, for any tJ and any x1,x2Hi, i=1,2,,k, we have

    x1(t)x2(t)x1x2cx1x2cαμcα(H)+ε. (2.4)

    From the fact H(t)=ki=1Hi(t) and (2.4), we have μ(H(t))μcα(H)+ε for any tJ, so maxtJμ(H(t))μcα(H)+ε. Thus, maxtJμ(H(t))μcα(H) since ε>0 is arbitrary. Similarly, it follows that maxtJμ(DαH(t))μcα(H). Consequently, the proof of Lemma 2.4 is completed.

    The following lemma also will be used in the proof of our main results.

    Lemma 2.5. ([46,47,48]) Let E be a Banach space, H={xn}L(J,E) be a countable set with xn(t)ρ(t) for a.a. tJ and every xnH, where ρ(t)L(J). Then μ(H(t)) is Lebesgue integrable on J, and μ({Jxn(t)dt})2Jμ(H(t))dt.

    Conformable calculus satisfies the following properties.

    Property 2.6. ([25]) Let α(0,1] and f,g be conformable differentiable of order α. Then

    (1) DαC=0 for all constant functions f(t)=C.

    (2) Dα(af+bg)=aDα(f)+bDα(g) for all a,bR.

    (3) Dα(fg)=fDα(g)+gDα(f).

    (4) DαIαf(t)=f(t) for t>0, where f is any continuous function in the domain of Iα.

    Property 2.7. By the definition of conformable fractional integral, it is easy to know Iαf:C(J)C(J) for α(0,1].

    Remark 2.8 ([26,39,41]) The function exp(λtαα)=eλtαα, t0, is called fractional conformable exponential function, where α(0,1] and λR. The conformable derivative of fractional conformable exponential function is Dαeλtαα=λeλtαα.

    Lemma 2.9. ([35,39])For 0<α1, the general solution of the fractional nonhomogeneous equation

    Dαx(t)λx(t)=σ(t),t>0,

    is expressed by

    x(t)=eλtαα[C+Iα(eλtαασ(t))],

    where C is a constant. Further, the unique solution of the linear initial value problem

    {Dαx(t)λx(t)=σ(t), t(0,1],x(0)=x0,

    has the following form

    x(t)=eλtαα[x0+Iα(eλtαασ(t))].

    From Lemma 2.9 we can obtain the solution of linear boundary value problem.

    Lemma 2.10. For σ(t)C(J) and 0<α1, the unique solution xC(J) of the linear boundary value problem

    {Dαx(t)λx(t)=σ(t), t(0,1], λ0,x(0)x(1)=d,

    has the following form

    x(t)=deλtαα1eλα+10Gλ(t,s)σ(s)ds, (2.5)

    where

    Gλ(t,s)={eλαeλtααeλsααsα11eλα+eλtααeλsααsα1,st,eλαeλtααeλsααsα11eλα,st.

    The continuity of the solution x(t) in Lemma 2.10 is guaranteed by Property 2.7.

    Remark 2.11. It is easy to know from the expression of Gλ(t,s) that for λ<0,

    0Gλ(t,s){(eλα1eλα+1)sα1=11eλαsα1,st,11eλαsα1,st.

    Thus 10Gλ(t,s)ds1α(1eλα).

    Furthermore, from Lemma 2.10 we can deduce the solution of linear PBVP with sequential derivative.

    Lemma 2.12. For σ(t)C(J), 0<α1 and M,N>0 such that M24N, the solution of the linear PBVP

    {D2αx(t)+MDαx(t)+Nx(t)=σ(t), t(0,1],x(0)=x(1),Dαx(0)=Dαx(1), (2.6)

    is

    x(t)=10Gλ2(t,s)(10Gλ1(s,τ)σ(τ)dτ)ds, (2.7)

    where

    λ1=MM24N2λ2=M+M24N2<0.

    Proof. Let (Dαλ2)x(t)=y(t),t(0,1]. Then the problem (2.6) is equivalent to

    {(Dαλ2)x(t)=y(t),t(0,1],x(0)=x(1), (2.8)

    and

    {(Dαλ1)y(t)=σ(t),t(0,1],y(0)=y(1). (2.9)

    By Lemma 2.10, we obtain that the problems (2.8) and (2.9) have the following representation of solutions

    x(t)=10Gλ2(t,s)y(s)ds, (2.10)

    and

    y(t)=10Gλ1(t,s)σ(s)ds, (2.11)

    respectively. Substituting (2.11) into (2.10), we get (2.7).

    The following comparison result plays an important role in the proofs of our main results.

    Lemma 2.13. Let M24N, M,N>0 and

    {D2αx(t)+MDαx(t)+Nx(t)0, t(0,1],x(0)x(1),Dαx(0)Dαx(1). (2.12)

    Then x(t)0 on J.

    Proof. Rewrite (2.12) as follows

    {D2αx(t)+MDαx(t)+Nx(t)=σ(t)0, t(0,1],x(0)x(1)=k0,Dαx(0)Dαx(1)=l0. (2.13)

    Then the problem (2.13) is equivalent to

    {(Dαλ2)x(t)=y(t),t(0,1],x(0)x(1)=k,

    and

    {(Dαλ1)y(t)=σ(t),t(0,1],y(0)y(1)=lλ2k.

    In view of λ2<0,lλ2k0, σ(t)0, λ1<0 and (2.5), we can obtain y(t)0. Furthermore, λ2<0,k0, y(t)0 and (2.5) ensure x(t)0 on J.

    Definition 3.1. Let v,wCα(J,E). v is called a lower solution of PBVP (1.1) if it satisfies

    {D2αv(t)f(t,v(t),Dαv(t)), t(0,1],v(0)v(1), Dαv(0)Dαv(1), (3.1)

    and w is called an upper solution of PBVP (1.1) if it satisfies

    {D2αw(t)f(t,w(t),Dαw(t)), t(0,1],w(0)w(1), Dαw(0)Dαw(1). (3.2)

    In the following, we assume that v(t)w(t),tJ. Define the ordered interval in space C(J,E)

    [v,w]={x(t)C(J,E),v(t)x(t)w(t), tJ}.

    Denote D1(t)=Dαv(t)+λ2(w(t)v(t)) and D2(t)=Dαw(t)λ2(w(t)v(t)). We work with the following conditions on the function f in (1.1).

    (H1) There exist constants M,N>0 with M24N such that

    f(t,w,Dαw)f(t,v,Dαv)M(DαwDαv)N(wv),  tJ,

    where v,wCα(J,E) are lower and upper solutions of (1.1).

    (H2) There exist constants M,N>0 with M24N such that

    f(t,x2,y2)f(t,x1,y1)M(y2y1)N(x2x1),  tJ,

    where vx1x2w and D1(t)yi(t)D2(t), i=1,2.

    (H3) There exists a constant K0 such that

    μ({f(t,xn,yn)+Nxn(t)+Myn(t)})K(μ({xn(t)})+μ({yn(t)})),  tJ,

    for any monotonic sequence {xn}[v,w] and any sequence {yn} such that D1(t)yn(t)D2(t). Moreover,

    8K(1λ2)α21(1eλ1α)(1eλ2α)<1.

    (H4) There exist constants ¯M,¯N>0 such that

    f(t,x2,y2)f(t,x1,y1)¯M(y2y1)+¯N(x2x1),  tJ,

    where vx1x2w and D1(t)yi(t)D2(t), i=1,2. Moreover,

    8¯K(1λ2)α21(1eλ1α)(1eλ2α)<1,

    here ¯K=max{L(¯M+M),L(¯N+N)} and L is the normal constant of cone P.

    Remark 3.2. The condition (H1) and Lemma 2.10 guarantee that Dα(w(t)v(t))λ2(w(t)v(t))θ,tJ. In fact, let z(t)=Dα(w(t)v(t))λ2(w(t)v(t)), then by (3.1), (3.2) and (H1), for t(0,1],

    Dαz(t)λ1z(t)=D2α(w(t)v(t))+MDα(w(t)v(t))+N(w(t)v(t))(f(t,w,Dαw)f(t,v,Dαv))+MDα(w(t)v(t))+N(w(t)v(t))θ,

    and z(0)z(1)θ. By (2.5) of Lemma 2.10, x(t)θ if dθ and σ(t)θ. Thus we obtain that z(t)θ, this implies D1(t)Dαv(t)D2(t) and D1(t)Dαw(t)D2(t).

    Set Ω={η[v,w]Cα(J,E):D1(t)Dαη(t)D2(t)}. Obviously, Ω is well defined by Remark 3.2 when the condition (H1) holds. Now we are in the position to state our main results.

    Theorem 3.3. Assume that fC([0,1]×E×E), v and w are lower and upper solutions of BPVP (1.1) and the conditions (H1), (H2) and (H3) are valid. Then there exist p(t),q(t)Cα(J,E) such that p(t),q(t) are minimal and maximal solutions on the ordered interval [v,w] for BPVP (1.1), respectively, that is, for any solution x(t) of BPVP (1.1) such that x[v,w], we have v(t)p(t)x(t)q(t)w(t),tJ.

    Proof. Let σ(η)(t)=f(t,η(t),Dαη(t))+MDαη(t)+Nη(t). For any ηΩ, consider the linear PBVP

    {D2αx(t)+MDαx(t)+Nx(t)=σ(η)(t), t(0,1],x(0)=x(1), Dαx(0)=Dαx(1). (3.3)

    By Lemma 2.12, (3.3) has exactly one solution x(t) given by

    x(t)=10Gλ2(t,s)(10Gλ1(s,τ)σ(η)(τ)dτ)ds. (3.4)

    For any ηΩ, define the operator T as Tη(t)=x(t), then the fixed points of T are exactly the solutions of PBVP (1.1). For clarity, we divide the proof into several steps.

    Step 1: Firstly, T:ΩCα(J,E) is well defined. Indeed, for any ηΩ, by (3.4),

    Tη(t)=10Gλ2(t,s)(10Gλ1(s,τ)σ(η)(τ)dτ)ds=Aηeλ2tαα+Bηeλ2tααIαe(λ1λ2)tαα+eλ2tααIα(e(λ1λ2)tααIαeλ1tαασ(η)(t)), (3.5)

    where

    Aη=eλ1+λ2α(1eλ1α)(1eλ2α)(Iαeλ1tαασ(η)(t))|t=1(Iαe(λ1λ2)tαα)|t=1+eλ2α1eλ2αIα(e(λ1λ2)tααIαeλ1tαασ(η)(t))|t=1,

    and

    Bη=eλ1α1eλ1α(Iαeλ1tαασ(η)(t))|t=1.

    Furthermore, Property 2.6, Property 2.7 and Remark 2.8 indicate for t>0,

    DαTη(t)=Aηλ2eλ2tαα+Bηλ2eλ2tααIαe(λ1λ2)tαα+λ2eλ2tααIα(e(λ1λ2)tααIαeλ1tαασ(η)(t))+Bηeλ1tαα+eλ1tααIαeλ1tαασ(η)(t)=λ210Gλ2(t,s)(10Gλ1(s,τ)σ(η)(τ)dτ)ds+10Gλ1(t,s)σ(η)(s)ds. (3.6)

    The continuity of f together with Property 2.7 ensures that the right side of (3.6) is continuous on J. Hence, (3.6) is also valid for t=0. By Property 2.7, (3.5) and (3.6) we have Tη(t)Cα(J,E).

    Step 2: For any ηΩ, {Tη}Cα(J,E) is bounded. In fact, from condition (H2) we can derive

    f(t,v,Dαv)+MDαv+Nvf(t,η,Dαη)+MDαη+Nηf(t,w,Dαw)+MDαw+Nw.

    In view of the normality of the cone P, there exists ¯L>0 such that f(t,η,Dαη)+MDαη+Nη¯L. Since λ1<λ2<0, by Remark 2.11, (3.5) and (3.6) we can find

    Tη(t)¯Lα21(1eλ1α)(1eλ2α),

    and

    DαTη(t)|λ2|¯Lα21(1eλ1α)(1eλ2α)+¯Lα11eλ1α.

    Hence, {Tη}Cα(J,E) is bounded.

    Step 3: For any ηΩ, {Tη}Cα(J,E) is equicontinuous. Noticing that

    |eλ2tα1αt10sα1e(λ1λ2)sααdseλ2tα2αt20sα1e(λ1λ2)sααds||eλ2tα1αt10sα1e(λ1λ2)sααdseλ2tα2αt10sα1e(λ1λ2)sααds|+|eλ2tα2αt10sα1e(λ1λ2)sααdseλ2tα2αt20sα1e(λ1λ2)sααds|1α|eλ2tα1αeλ2tα2α|+|t2t1sα1e(λ1λ2)sααds|1α|eλ2tα1αeλ2tα2α|+1α|tα2tα1|, (3.7)
    eλ2tα1αt10sα1e(λ1λ2)sαα(s0τα1eλ1ταασ(η)(τ)dτ)dseλ2tα2αt20sα1e(λ1λ2)sαα(s0τα1eλ1ταασ(η)(τ)dτ)ds|eλ2tα1αeλ2tα2α|t10sα1e(λ1λ2)sαα(s0τα1eλ1ταασ(η)(τ)dτ)ds+eλ2tα2αt2t1sα1e(λ1λ2)sαα(s0τα1eλ1ταασ(η)(τ)dτ)ds¯Lα2eλ1α|eλ2tα1αeλ2tα2α|+¯Lα2eλ1α|tα1tα2|, (3.8)

    and

    eλ1tα1αt10sα1eλ1sαασ(η)(s)dseλ1tα2αt20sα1eλ1sαασ(η)(s)ds|eλ1tα1αeλ1tα2α|t10sα1eλ1sαασ(η)(s)ds+eλ1tα2αt2t1sα1eλ1sαασ(η)(s)ds¯Lαeλ1α|eλ1tα1αeλ1tα2α|+¯Lαeλ1α|tα1tα2|, (3.9)

    we can arrive at from (3.5)–(3.9) that {Tη}Cα(J,E) is equicontinuous.

    Step 4: Now we prove v(t)Tv(t), w(t)Tw(t). Set v1=Tv, then we have

    {D2αv1(t)+MDαv1(t)+Nv1(t)=f(t,v(t),Dαv(t))                                                     +MDαv(t)+Nv(t),  t(0,1],v1(0)=v1(1), Dαv1(0)=Dαv1(1). (3.10)

    Set z(t)=v1(t)v(t), then by (3.1) and (3.10) we can know

    {D2αz(t)+MDαz(t)+Nz(t)θ, t(0,1],z(0)z(1), Dαz(0)Dαz(1).

    Thus, z(t)θ by Lemma 2.13 and this means v(t)Tv(t). Similarly, w(t)Tw(t).

    Next, let η1,η2Ω be such that η1(t)η2(t). (H2) and (3.5) show that σ(η1)(t)σ(η2)(t), Tη1(t)Tη2(t). For each ηΩ, we get by the similar method to Remark 3.2 that Dα(Tη(t)v(t))λ2(Tη(t)v(t))θ,tJ. This implies

    D1(t)Dαv(t)+λ2(Tη(t)v(t))DαTη(t).

    Similarly, Dα(w(t)Tη(t))λ2(w(t)Tη(t))θ,tJ, and hence

    DαTη(t)Dαw(t)λ2(w(t)Tη(t))D2(t).

    Therefore, T(Ω)Ω and T is a monotone operator on [v,w]. Consequently, let vn=Tvn1,wn=Twn1(n=1,2,), we obtain

    v=v0v1vnwnw1w0=w,

    and

    D1(t)DαTvn(t),DαTwn(t)D2(t), tJ.

    Step 5: Let V={vn:n=1,2,}. In the following, we will show that V is a relatively compact set in Cα(J,E). Note that μc(V)=μc(V{v0}) and μc(DαV)=μc(DαV{Dαv0}) by Property 2.2. In view of Lemma 2.5, Property 2.2, condition (H3), Remark 2.11 and Lemma 2.3, it follows that

    μ({10Gλ1(t,s)σ(vn1)(s)ds})210Gλ1(t,s)μ({σ(vn1)(s)})ds2K10Gλ1(t,s)(μ({vn1(s)})+μ({Dαvn1(s)}))ds2Kα11eλ1α(μc(V)+μc(DαV)). (3.11)

    Furthermore,

    μ(V(t))=μ({10Gλ2(t,s)(10Gλ1(s,τ)σ(vn1)(τ)dτ)ds})210Gλ2(t,s)μ({10Gλ1(s,τ)σ(vn1)(τ)dτ})ds4Kα21(1eλ1α)(1eλ2α)(μc(V)+μc(DαV)). (3.12)

    Hence, we obtain from Lemma 2.4

    μ(V(t))8Kα21(1eλ1α)(1eλ2α)μcα(V). (3.13)

    At the same time, by (3.6), (3.11), (3.12) and (3.13), we get

    μ(DαV(t))|λ2|8Kα21(1eλ1α)(1eλ2α)μcα(V)+4Kα11eλ1αμcα(V)8K(1λ2)α21(1eλ1α)(1eλ2α)μcα(V). (3.14)

    Combining Lemma 2.4, (3.13) and (3.14), we have

    μcα(V)8K(1λ2)α21(1eλ1α)(1eλ2α)μcα(V).

    Therefore, μcα(V)=0 by (H3), then Property 2.2 shows {vn} is a relatively compact set of Cα(J,E), and thus there exists subsequence converging uniformly to pCα(J,E). By the monotone property of {vn} and the assumption (H2) of function f which implies {σ(vn)} is monotone, we obtain that {vn} converges uniformly to pCα(J,E) and {σ(vn)} converges to σ(p). Similarly, we can show that {wn} converges uniformly to qCα(J,E) and {σ(wn)} converges to σ(q). Moreover, the limits p,q satisfy

    v=v0v1vnpqwnw1w0=w,

    and

    D1(t)Dαp(t),Dαq(t)D2(t), tJ.

    Step 6: Let n in the relation

    vn(t)=Tvn1(t)=10Gλ2(t,s)(10Gλ1(s,τ)σ(vn1)(τ)dτ)ds.

    Applying the dominated convergence theorem, we have p satisfies the equation

    p(t)=10Gλ2(t,s)(10Gλ1(s,τ)σ(p)(τ)dτ)ds, tJ,

    which implies that p(t) is an integral representation of the solution to the problem (3.3), and thus by the definition of function σ, p is a solution of PBVP (1.1). Similarly, we can prove that q is a solution of PBVP (1.1).

    Finally, we prove p and q are extremal solutions of PBVP (1.1). Assume that ¯x is a fixed point of T in Ω, then by the monotonicity of T proved in Step 4, it is easy to see that TvT¯xTw, that is, v1¯xw1. Furthermore, we have vn¯xwn for n=1,2,. Let n we get p¯xq. Therefore, p and q are the minimal and maximal solutions of PBVP (1.1) in [v,w], respectively.

    This completes the proof of Theorem 3.3.

    Theorem 3.4. Assume that fC([0,1]×E×E), v and w are lower and upper solutions of BPVP (1.1) and the conditions (H1), (H2) and (H4) are valid. Then the BPVP (1.1) has a unique solution x[v,w].

    Proof. First of all, we prove that (H2) and (H4) imply (H3). Let {xn}[v,w] be increasing sequence and {yn} be such that {yn}[D1(t),D2(t)], tJ. For m,nN with m>n, in view of (H2) and (H4), we have

    θf(t,xm,ym)f(t,xn,yn)+M(ym(t)yn(t))+N(xm(t)xn(t))(¯M+M)(ym(t)yn(t))+(¯N+N)(xm(t)xn(t)). (3.15)

    By (3.15) and the normality of cone P, we can derive that

    f(t,xm,ym)f(t,xn,yn)+M(ym(t)yn(t))+N(xm(t)xn(t))L(¯M+M)(ym(t)yn(t))+(¯N+N)(xm(t)xn(t))L(¯M+M)ym(t)yn(t)+L(¯N+N)xm(t)xn(t)¯K(ym(t)yn(t)+xm(t)xn(t)). (3.16)

    From (3.16) and the definition of Kuratowski measure of noncompactness, it follows that

    μ({f(t,xn,yn)+Nxn(t)+Myn(t)})¯K(μ({xn(t)})+μ({yn(t)})),  tJ.

    If {xn}[v,w] is a decreasing sequence and {yn}[D1(t),D2(t)], the above inequality is also valid. Hence (H3) is satisfied. Therefore, Theorem 3.3 asserts that the PBVP (1.1) has minimal and maximal solutions p and q between v and w. In the following we show that p=q.

    Since by (H2) and (H4),

    θq(t)p(t)=10Gλ2(t,s)(10Gλ1(s,τ)[f(τ,q(τ),Dαq(τ))f(τ,p(τ),Dαp(τ))+M(Dαq(τ)Dαp(τ))+N(q(τ)p(τ))]dτ)ds10Gλ2(t,s)(10Gλ1(s,τ)[(¯M+M)(Dαq(τ)Dαp(τ))+(¯N+N)(q(τ)p(τ))]dτ)ds, (3.17)

    (3.17) together with the normality of cone P ensures

    q(t)p(t)10Gλ2(t,s)(10Gλ1(s,τ)[L(¯M+M)Dαq(τ)Dαp(τ)+L(¯N+N)q(τ)p(τ)]dτ)ds[L(¯M+M)+L(¯N+N)]1α21(1eλ1α)(1eλ2α)qpCα. (3.18)

    Furthermore, if Dαq(t)Dαp(t), again by (H2) and (H4), we have

    θDαq(t)Dαp(t)=λ210Gλ2(t,s)(10Gλ1(s,τ)[f(τ,q(τ),Dαq(τ))f(τ,p(τ),Dαp(τ))+M(Dαq(τ)Dαp(τ))+N(q(τ)p(τ))]dτ)ds+10Gλ1(t,s)[f(s,q(s),Dαq(s))f(s,p(s),Dαp(s))+M(Dαq(s)Dαp(s))+N(q(s)p(s))]ds10Gλ1(t,s)[(¯M+M)(Dαq(s)Dαp(s))+(¯N+N)(q(s)p(s))]ds. (3.19)

    From (3.19) and the normality of cone P we get

    Dαq(t)Dαp(t)10Gλ1(t,s)[L(¯M+M)Dαq(s)Dαp(s)+L(¯N+N)q(s)p(s)]ds[L(¯M+M)+L(¯N+N)]1α11eλ1αqpCα. (3.20)

    On the other hand, if Dαq(t)Dαp(t), also by (H2) and (H4) we get

    θDαp(t)Dαq(t)=λ210Gλ2(t,s)(10Gλ1(s,τ)[f(τ,p(τ),Dαp(τ))f(τ,q(τ),Dαq(τ))+M(Dαp(τ)Dαq(τ))+N(p(τ)q(τ))]dτ)ds+10Gλ1(t,s)[f(s,p(s),Dαp(s))f(s,q(s),Dαq(s))+M(Dαp(s)Dαq(s))+N(p(s)q(s))]dsλ210Gλ2(t,s)(10Gλ1(s,τ)[(¯M+M)(Dαp(τ)Dαq(τ))+(¯N+N)(p(τ)q(τ))]dτ)ds. (3.21)

    From (3.21) and the normality of cone P we know

    Dαp(t)Dαq(t)|λ2|10Gλ2(t,s)(10Gλ1(s,τ)[L(¯M+M)Dαp(τ)Dαq(τ)+L(¯N+N)p(τ)q(τ)]dτ)ds|λ2|[L(¯M+M)+L(¯N+N)]1α21(1eλ1α)(1eλ2α)pqCα. (3.22)

    Consequently, from (3.18), (3.20) and (3.22) we can conclude

    pqCα2¯K(1λ2)α21(1eλ1α)(1eλ2α)pqCα.

    Thus, p=q by (H4), which means that there exists a unique solution of PBVP (1.1) in [v,w].

    This completes the proof of Theorem 3.4.

    Remark 3.5. Using the methods of our main results Theorem 3.3 and Theorem 3.4, we can easy to obtain the existence of solutions of the following PBVP for fractional differential equation

    {Dαx(t)=f(t,x(t)), t(0,1],  0<α1,x(0)=x(1). (3.23)

    Let v,wC(J,E). We say that the function v is a lower solution of problem (3.23) if

    {Dαv(t)f(t,v(t)), t(0,1],v(0)v(1).

    Analogously, w is an upper solution for problem (3.23) if it verifies similar conditions for the inequalities reversed.

    (G1) There exists a constant N>0 such that f(t,x2)f(t,x1)N(x2x1),tJ, where vx1x2w.

    (G2) There exists a constant K0 such that μ({f(t,xn)+Nxn(t)})Kμ({xn(t)}),tJ for any monotonic sequence {xn}[v,w]. Moreover, 2Kα11eNα<1.

    (G3) There exists a constant ¯N>0 such that f(t,x2)f(t,x1)¯N(x2x1),tJ, where vx1x2w. Moreover, 2¯Kα11eNα<1, where ¯K=L(¯N+N) and L is the normal constant of cone P.

    Theorem 3.6. Assume that fC(J×E), v,w are lower and upper solutions of BPVP (3.23) and vw. The conditions (G1) and (G2) are valid. Then there exist p(t),q(t)C(J,E) such that p(t),q(t) are minimal and maximal solutions on the ordered interval [v,w] for BPVP (3.23), respectively, that is, for any solution x(t) of BPVP (3.23) such that x[v,w], we have v(t)p(t)x(t)q(t)w(t),tJ.

    Theorem 3.7. Assume that fC(J×E), v,w are lower and upper solutions of BPVP (3.23), vw, and the conditions (G1) and (G3) hold. Then the BPVP (3.23) has a unique solution x[v,w].

    Let E={x:x=(x1,x2,,xn,),xn0} with the norm x=supn|xn| and P={xE:xn0,n=1,2,3,}. Then P is a normal cone in E. Consider the PBVP of infinite system for differential equations in E

    {D2αxn(t)=18ent[(1xn(t))22n212n2]                       +(n1)(2n+1)34n2entsin3x2n+1(t)Dαxn(t),  t(0,1],xn(0)=xn(1), Dαxn(0)=Dαxn(1). (4.1)

    Evidently, (4.1) can be regarded as a PBVP of the form (1.1) in E. In this situation, x=(x1,x2,,xn,), y=(y1,y2,,yn,) and f=(f1,f2,,fn,), in which

    fn(t,x,y)=18ent[(1xn(t))22n212n2]+(n1)(2n+1)34n2entsin3x2n+1(t)yn(t).

    It is clear fC(J×E×E,E). Let v=(0,0,,0,) and w=(1,12,,1n,). Then v,wCα(J,E),v(t)w(t),tJ, and

    vn(0)=vn(1)=Dαvn(0)=Dαvn(1)=0,wn(0)=wn(1)=1n,Dαwn(0)=Dαwn(1)=0.

    Moreover,

    fn(t,v(t),Dαv(t))=18ent(12n212n2)=18ent12n2>0,

    and

    fn(t,w(t),Dαw(t))=18ent[(11n)22n212n2]+(n1)(2n+1)34n2entsin312n+118ent[(11n)22n212n2]+18ent2n2n2=18ent12n2<0.

    Hence, v and w are lower and upper solutions of (4.1).

    The conditions (H1) and (H2) are satisfied with M=1,N=14. Let us first verify the condition (H2). Noticing that λ2=12,D1(t)=w(t)2 and D2(t)=w(t)2, for v(t)x(1)(t)x(2)(t)w(t) and D1(t)y(i)(t)D2(t), i=1,2, we have

    0x(1)n(t)x(2)n(t)1n,  12ny(i)n(t)12n,i=1,2,  n=1,2,3,.

    Therefore,

    fn(t,x(2),y(2))fn(t,x(1),y(1))=18ent[(1x(2)n(t))2(1x(1)n(t))2](y(2)n(t)y(1)n(t))+(n1)(2n+1)34n2ent[sin3x(2)2n+1(t)sin3x(1)2n+1(t)]18ent[(1x(2)n(t))2(1x(1)n(t))2](y(2)n(t)y(1)n(t))=18ent(2x(1)n(t)x(2)n(t))(x(2)n(t)x(1)n(t))(y(2)n(t)y(1)n(t))14ent(x(2)n(t)x(1)n(t))(y(2)n(t)y(1)n(t))14(x(2)n(t)x(1)n(t))(y(2)n(t)y(1)n(t)).

    This implies that (H2) is satisfied. Obviously, by the same method we can verify (H1).

    Finally, we check condition (H3). Let the sequences {x(m):x(m)=(x(m)1,x(m)2,,x(m)n,)} and {y(m):y(m)=(y(m)1,y(m)2,,y(m)n,)} be given such that {x(m)}[v,w] is monotonous and 12ny(m)n(t)12n,n=1,2,3,. Let z(m)n(t)=fn(t,x(m),y(m))+Nx(m)n(t)+My(m)n(t). In view of

    |z(m)n(t)|184n32n2+n14n2+12n+Nn+M2n, tJ,  n,m=1,2,3,,

    it follows that {z(m)n(t)} is bounded, so we can choose a subsequence {mi}{m} such that z(mi)n(t)zn(t) as i, n=1,2,3, and

    |zn(t)|184n32n2+n14n2+12n+Nn+M2n, tJ,  n=1,2,3,.

    Hence, z(t)=(z1(t),z2(t),z3(t),)E for any tJ, and it is easy to see that

    f(t,x(mi),y(mi))+Nx(mi)(t)+My(mi)(t)z(t)=supn|z(mi)n(t)zn(t)|0, i.

    Consequently, we conclude that condition (H3) is satisfied for K=0. Therefore, Theorem 3.3 ensures that PBVP (4.1) has extremal solutions in [v,w], which can be obtained by taking limits from the iterative sequences {v(m):v(m)=(v(m)1,v(m)2,,v(m)n,)} and {w(m):w(m)=(w(m)1,w(m)2,,w(m)n,)}, here

    v(0)=v,w(0)=w,
    v(m)n(t)=10Gλ2(t,s){10Gλ1(s,τ)[fn(τ,v(m1)(τ),Dαv(m1)(τ))+MDαv(m1)n(τ)+Nv(m1)n(τ)]dτ}ds=10G12(t,s){10G12(s,τ)    [18enτ((1v(m1)n(τ))22n212n2)+(n1)(2n+1)34n2enτsin3v(m1)2n+1(τ)+14v(m1)n(τ)]dτ}ds,

    and

    w(m)n(t)=10Gλ2(t,s){10Gλ1(s,τ)[fn(τ,w(m1)(τ),Dαw(m1)(τ))+MDαw(m1)n(τ)+Nw(m1)n(τ)]dτ}ds=10G12(t,s){10G12(s,τ)    [18enτ((1w(m1)n(τ))22n212n2)+(n1)(2n+1)34n2enτsin3w(m1)2n+1(τ)+14w(m1)n(τ)]dτ}ds.

    This paper explores periodic solutions of some nonlinear fractional differential equations. The problem discussed involves sequential conformable fractional derivative. Under suitable monotonicity conditions and noncompactness measure conditions, the existence and uniqueness of solutions are derived from monotone iterative technique and upper and lower solutions method. Further, it is analyzed that the similar methods are well suited for investigating the existence and uniqueness of periodic solutions of the non-sequential fractional differential equation. In particular, for α=1, the classical results corresponding to ordinary differential equations of integer order are yielded. An example is given to illustrate an application of our theoretical work. To the best of our knowledge, the results obtained throughout this article are not recorded in any published literature. It is worth to be pointed out that the techniques applied in the main results of this paper can be used to investigate initial value problems or the differential equations with Riemann-Liouville sequential fractional derivatives.

    The authors are grateful to the editor and referees for their valuable suggestions. This work is supported by the National Natural Science Foundation of China (11671181) and the Fundamental Research Funds for the Central Universities (2020YJSLX01).

    The authors declare that they have no competing interests.



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