In this paper, the maximal and minimal iterative positive solutions are investigated for a singular Hadamard fractional differential equation boundary value problem with a boundary condition involving values at infinite number of points. Green's function is deduced and some properties of Green's function are given. Based upon these properties, iterative schemes are established for approximating the maximal and minimal positive solutions.
Citation: Limin Guo, Lishan Liu, Ying Wang. Maximal and minimal iterative positive solutions for p-Laplacian Hadamard fractional differential equations with the derivative term contained in the nonlinear term[J]. AIMS Mathematics, 2021, 6(11): 12583-12598. doi: 10.3934/math.2021725
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In this paper, the maximal and minimal iterative positive solutions are investigated for a singular Hadamard fractional differential equation boundary value problem with a boundary condition involving values at infinite number of points. Green's function is deduced and some properties of Green's function are given. Based upon these properties, iterative schemes are established for approximating the maximal and minimal positive solutions.
We consider the following Hadamard fractional differential equation
ϕp(HDα1+u(t))+f(t,u(t),HDμ1+u(t))=0, 1<t<e, | (1.1) |
with nonlocal boundary conditions
u(i)(1)=0,i=0,1,2,…,n−2,HDp11+u(e)=∞∑j=1ηHjDp21+u(ξj), | (1.2) |
where α,μ∈R+(R+=[0,+∞)), n−1<α≤n,n≥3, 0≤μ≤n−2, ηj≥0, 0<ξ1<ξ2<⋯<ξj−1<ξj<⋯<1 (j=1,2⋯), ϕp(s)=|s|p−2s,p>1, ϕ−1p=ϕq, 1p+1q=1, p1∈[1,n−2],0≤p2≤p1, f(t,x,y) may be singular at t=1 and HDα1+u, HDpi1+u(i=1,2) are the standard Hadamard derivatives. The existence of maximal and minimal positive solutions are obtained by iterative sequence for the boundary value problem (1.1) and (1.2) under certain conditions.
Compared with classical integer order differential equations, fractional order differential model have the advantages of simple modeling, accurate description and clear physical meaning of parameters for complex problems, and is one of the important tools for mathematical modeling of complex mechanics, physics, medicine and other processes. It has been noticed that most of the work on the topic is based on Riemann-Liuville and Caputo derivatives, for more details readers can refer to [2,3,5,6,7,8,9,10,11,12,14,15,16,17,18] and the references therein, there is another kind of fractional derivatives in the literature due to Hadamard [13], which is named as Hadamard derivative and differs from the preceding ones in the sense that its definition involves logarithmic function of arbitrary exponent. Although many researchers are paying more and more attention to Hadamard fractional differential equation, but the solutions of Hadamard fractional differential equations are still very few, the study of the topic is still in its primary stage. About the details and recent developments on Hadamard fractional differential equations, we refer the reader to [1,2,4,19,21,22]. In [4], Ahmad et al. considered fractional integro-differential inclusions of Hadamard and Riemann-Liouville type:
HDα(x(t)−Σmi=1IAβihi(t,x(t)))∈F(t,x(t)),1≤t≤e, |
with a initial value u(1) = 0, where HDα denotes Hadamard fractional derivative of order α, 0<α≤1, and HIγ denotes Hadamard fractional integral of order γ>0, γ∈{β1,β2,…,βm}. In [19], Thiramanus et al. considered the following Hadamard fractional differential equation:
HDβϕp(HDu(t))=a(t)f(u(t)),t∈(1,T),T>1, |
with boundary conditions
u(T)=λHIσu(η),HDαu(1)=0,u(1)=0, |
where HDα and HIσ denote Hadamard fractional derivative of order α and the Hadamard fractional integral of order σ, respectively. ϕp(s) is a p− Laplacian operator, i.e., ϕp(s)=|s|p−2s for p>1, (ϕp)−1(s)=ϕq(s), where 1p+1q=1. In [22], Yukunthorn et al. considered the following fractional differential equation:
cDαu(t)=f(t,u(t),v(t)),t∈(1,e),1<α≤2,cDβv(t)=g(t,u(t),v(t)),t∈(1,e),1<β≤2, |
subject to integral boundary condition
u(1)=0,u(e)=Iγu(σ1),v(1)=0,v(e)=Iγu(σ2), |
where γ>0, 1<σ1<e,1<σ2<e, HDκ and HIγ denote Hadamard fractional derivative of order κ and Hadamard fractional integral of order γ, and f,g:[1,e]×R1×R1→R1 are continuous functions. In [23], the author considered the following fractional differential equation:
Dα0+u(t)+g(t)f(t,u(t))=0, 0<t<1, |
with boundary conditions
u(0)=u′(0)=…=u(n−2)(0)=0,u(i)(1)=∞∑i=1αju(ξj), |
where α∈R+, n−1<α≤n,n>3, i∈[1,n−2] is a fixed integer, αj≥0, 0<ξ1<ξ2<…<ξj−1<ξj<…<1 (j=1,2,⋯), f is allowed to have singularities with respect to both time and space variables. Various theorems were established for the existence and multiplicity of positive solutions. The existence of positive solutions are established under some sufficient conditions by u0-positive linear operator and the fixed point theorem.
Motivated by the excellent results above, in this paper, we investigate the existence of maximal and minimal positive solutions for singular Hadamard fractional differential equation with infinite-point boundary value conditions (1.2). Compared with [20,23], the fractional derivative is involved in the nonlinear term in this paper, and the result is more precise this is because that the positive solutions we obtained are iterative solutions. Compared with [23], the derivatives in our paper are Hadamard fractional derivatives.
Now we list a condition below to be used later in the paper.
(H0): f:(1,e]×R+×R+→R+, and there exists a constant 0<ϵ<1 such that (lnt)ϵϕq(f(t,x0,x1)) is continuous on [1,e]×R+×R+.
For the convenience of the reader, we first present some basic definitions and lemmas which are useful for the following research are given, and which can be found in the recent literature such as [13].
Definition 2.1. ([13]). The Hadamard fractional integral of order α>0 of a function y:(0,∞)→R1+ is given by
HIαy(t)=1Γ(α)∫t1(lnts)α−1y(s)sds. |
Definition 2.2. ([13]). The Hadamard fractional derivative of order α>0 of a continuous function y:(0,∞)→R1+ is given by
HDαy(t)=1Γ(n−α)(tddt)n∫t1y(s)s(lnts)α−n+1ds, |
where n=[α]+1, [α] denotes the integer part of the number α, provided that the right-hand side is pointwise defined on (0,∞).
Lemma 2.1. ([13]). If α,γ,β>0, then
HIαa(ln(ta)β−1)(x)=Γ(β)Γ(β+α)(lnxa)β+α−1, |
HDαa(ln(ta)β−1)(x)=Γ(β)Γ(β−α)(lnxa)β−α−1. |
Lemma 2.2. ([23]). Suppose that α>0 and u∈C[1,∞)∩L1[1,∞), then the solution of Hadamard fractional differential equation HDα1+u(t)=0 is
u(t)=c1(lnt)α−1+c2(lnt)α−2+⋯+cn(lnt)α−n,ci∈R,i=0,1,⋯,n,n=[α]+1. |
Lemma 2.3. ([23]). Suppose that α>0,α is not natural number. If u∈C[1,∞)∩L1[1,∞), then
u(t)=HIα1+HDα1+u(t)+∑nk=1ck(lnt)α−k, |
for t∈(1,e], where ck∈R(k=1,2,⋯,n), and n=[α]+1.
We consider the linear fractional differential equation
ϕp(HDα1+u(t))+g(t)=0, 1<t<e, | (2.1) |
with boundary condition (1.2).
Lemma 2.4. Given g∈L1(1,e)∩C(1,e), then the Eq (2.1) with boundary condition (1.2) can be expressed by
u(t)=∫e1G(t,s)ϕq(g(s))sds, t∈[1,e], | (2.2) |
where
G(t,s)=G1(t,s)+(lnt)α−1Δ∞∑j=1ηjG2(ξj,s), |
in which
G1(t,s)=1Γ(α){(lnt)α−1(lnes)α−p1−1−(lnts)α−1,1≤s≤t≤e,(lnt)α−1(lnes)α−p1−1,1≤t≤s≤e, | (2.3) |
G2(t,s)=1Γ(α−p2){(lnt)α−p2−1(lnes)α−p1−1−(lnts)α−p2−1,1≤s≤t≤e,(lnt)α−p2−1(lnes)α−p1−1,1≤t≤s≤e, | (2.4) |
Δ=Γ(α)Γ(α−p1)−Γ(α)Γ(α−p2)∞∑i=1ηj(lnξj)α−p2−1. |
Proof. By means of the Lemma 2.3, we can reduce (2.1) to an equivalent integral equation
u(t)=−HIα0+ϕq(g(t))+C1(lnt)α−1+C2(lnt)α−2+⋯+Cn(lnt)α−n, |
for some C1,C2,⋯,Cn∈R1. From u(1)=u′(1)=⋯=u(n−2)(1)=0 of (1.2), we have C2=C3=⋯=Cn=0, then
u(t)=−∫t1(lnts)α−1Γ(α)ϕq(g(s))sdt+C1(lnt)α−1, | (2.5) |
by simple calculation, we have
HDpi1+u(t)=−HIα−pi1+ϕq(g(t))+C1Γ(α)Γ(α−pi)(lnt)α−pi−1,i=1,2. | (2.6) |
Substituting (2.6) into HDp11+u(e)=∑∞j=1ηHjDp21+u(ξj), we have
C1Γ(α)Γ(α−p1)−HIα−p11+ϕq(g(e))=∞∑i=1ηj(C1Γ(α)Γ(α−p2)(lnξj)α−p2−1−HIα−p21+ϕq(g(ξj))), |
then
C1=1Γ(α−p1)∫e1(lnes)α−p1−1ϕq(g(s))sds−∞∑i=1ηj1Γ(α−p2)∫ξj1(lnξjs)α−p2−1ϕq(g(s))sdsΓ(α)Γ(α−p1)−Γ(α)Γ(α−p2)∞∑i=1ηj(lnξj)α−p2−1. | (2.7) |
Substituting (2.7) into (2.5), we have
u(t)=−1Γ(α)∫t1(lnts)α−1ϕq(g(s))sds+(lnt)α−11Γ(α−p1)∫e1(lnes)α−p0−1ϕq(g(s))sds−∞∑i=1ηj1Γ(α−p2)∫ξj1ln(ξjs)α−p2−1ϕq(y(s))sdsΓ(α)Γ(α−p1)−Γ(α)Γ(α−p2)∞∑i=1ηj(lnξj)α−p2−1=−1Γ(α)∫t1(lnts)α−1ϕq(g(s))sds+1Γ(α)Γ(α)Γ(α−p1)−Γ(α)Γ(α−p2)∞∑i=1ηj(lnξj)α−p2−1+Γ(α)Γ(α−p2)∞∑i=1ηj(lnξj)α−p2−1Γ(α)Γ(α−p1)−Γ(α)Γ(α−p2)∞∑i=1ηj(lnξj)α−p2−1×∫e1(lnt)α−1(lnes)α−p1−1ϕq(g(s))sds−(lnt)α−1∞∑i=1ηj1Γ(α−p2)∫ξj1(lnξjs)α−p2−1ϕq(g(s))sdsΓ(α)Γ(α−p1)−Γ(α)Γ(α−p2)∞∑i=1ηj(lnξj)α−p2−1=−1Γ(α)∫t1(lnts)α−1ϕq(g(s))sds+1Γ(α)∫e1(lnt)α−1(lnes)α−p1−1ϕq(g(s))sds+∞∑i=1ηj(lnξj)α−p2−1Γ(α)Γ(α−p1)−Γ(α)Γ(α−p2)∞∑i=1ηj(lnξj)α−p2−1∫e1(lnt)α−1(lnes)α−p1−1ϕq(g(s))sds−(lnt)α−1∞∑i=1ηj1Γ(α−p2)∫ξj1(lnξjs)α−p2−1ϕq(g(s))sdsΓ(α)Γ(α−p1)−Γ(α)Γ(α−p2)∞∑j=1ηj(lnξj)α−p2−1 |
=∫e1G1(t,s)ϕq(g(s))sds+(lnt)α−1Δ(1Γ(α−p2)∞∑j=1ηj(lnξj)α−p2−1∫e1(lnes)α−p1−1ϕq(g(s))sds−∞∑j=1ηj1Γ(α−p2)∫ξj1ln(ξjs)α−p2−1ϕq(g(s))sds)=∫e1G1(t,s)ϕq(g(s))sds+(lnt)α−1Δ∞∑j=1ηj1Γ(α−p2)[∫e1(lnξj)α−p2−1(lnes)α−p1−1ϕq(g(s))sds−∫ξj1ln(ξjs)α−p2−1ϕq(g(s))sds]=∫e1(G1(t,s)+(lnt)α−1Δ∞∑i=1ηjG2(ξj,s)))ϕq(g(s))sds=∫e1G(t,s)ϕq(g(s))sds, |
where Δ is as (2.2). Moreover, by simple calculation, we have
HDμ1+G(t,s)=HDμ1+G1(t,s)+Γ(α)ΔΓ(α−μ)(lnt)α−1−μ∞∑j=1ηjG2(ξj,s), | (2.8) |
and
HDμ1+G1(t,s)=1Γ(α−μ){(lnt)α−1−μ(lnes)α−p1−1−(lnts)α−1−μ, 1≤s≤t≤e,(lnt)α−1−μ(lnes)α−p1−1, 1≤t≤s≤e. |
It is easy to check that G(t,s) and HDμ0+G(t,s) are uniformly continuous on [1,e]×[1,e].
Lemma 2.5. The functions G1 and G2 given by (2.2) have the following properties:
(1) G1(t,s)≥1Γ(α)(lnt)α−1lns(lnes)α−p1−1, ∀t,s∈[1,e];
(2) G1(t,s)≤1Γ(α−1)(lns)(lnes)α−p1−1,∀t,s∈[1,e];
(3) G1(t,s)≤1Γ(α−1)(lnt)α−1(lnes)α−p1−1;
(4) G(t,s)≤J(s),J(s)=1Γ(α−1)(lns)(lnes)α−p1−1+1Δ∑∞i=1ηjG2(ξj,s);
G(t,s)≤¯J(s),¯J(s)=1Γ(α−μ−1)(lns)(lnes)α−p1−1+1Δ∑∞i=1ηjG2(ξj,s) for all t,s∈[1,e];
(5) 1α−1(lnt)α−1J(s)≤G(t,s)≤σ(lnt)α−1, 1α−μ−1(lnt)α−μ−1¯J(s)≤DμG(t,s)≤¯σ(lnt)α−μ−1, where
σ=1Γ(α)(lnes)α−p1−1((α−1)+1Δ∞∑j=1ηj1Γ(α−p2)(lnξj)α−p2−1), |
¯σ=1Γ(α−μ)(lnes)α−p1−1((α−μ−1)+1Δ∞∑j=1ηj1Γ(α−p2)(lnξj)α−p2−1), |
for ∀t,s∈[1,e].
Proof. (1) For 1≤s≤t≤e, notice that p1≥1, we get (1−s)p1≤(1−s). Hence,
G1(t,s)=1Γ(α)((lnt)α−1(lnes)α−p1−1−(lnts)α−1)=1Γ(α)[(lnt)α−1(lne−lns)α−p1−1−(lnt−lns)α−1]=1Γ(α)[(lnt)α−1(lne−lns)α−p1−1−(lnt)α−1(1−lnslnt)α−1]≥1Γ(α)(lnt)α−1[(lne−lns)α−p1−1−(lne−lns)α−p1−1+p1]≥1Γ(α)(lnt)α−1(lne−lns)α−p1−1[1−(lnes)p1]≥1Γ(α)(lnt)α−1(lne−lns)α−p1−1[1−(1−lns)]=1Γ(α)(lnt)α−1lns(lne−lns)α−p1−1. |
For 1≤t≤s≤e, we get
G1(t,s)=1Γ(α)(lnt)α−1(lnes)α−p1−1≥1Γ(α)(lnt)α−1lns(lnes)α−p1−1, |
hence, (1) holds.
(2) For 1≤s≤t≤e, notice that α−p1−1>0, we get
G1(t,s)=1Γ(α)((lnt)α−1(lnes)α−p1−1−(lnts)α−1)=1Γ(α)(lnes)−p1[(lntlnes)α−1−(lnes)p1(lnts)α−1]≤1Γ(α)(lnes)−p1[(lntlnes)α−1−(lnes)α−1(lnts)α−1]=1Γ(α)(lnes)−p1(α−1)∫lntlneslneslntsxα−2dx≤1Γ(α)(lnes)−p1(α−1)(lnt)α−2(lnes)α−2[lntlnes−lneslnts]=1Γ(α−1)(lnes)−p1(lnt)α−2(lnes)α−2lnslnes≤1Γ(α−1)lns(lnes)α−p1−1. |
For 1≤t≤s≤e, and α>2, we get
G1(t,s)=1Γ(α)(lnt)α−1(lnes)α−p1−1≤1Γ(α−1)lns(lnes)α−p1−1. |
(3) By (2), for t,s∈(1,e), we have
G1(t,s)≤1Γ(α)(lnt)α−1(lnes)α−p1−1≤1Γ(α−1)(lnt)α−1(lnes)α−p1−1, |
hence, (3) holds.
(4) By (1) and (2), we get
G(t,s)=G1(t,s)+(lnt)α−1Δ∞∑j=1ηjG2(ξj,s)≤1Γ(α−1)(lns)(lnes)α−p1−1+1Δ∞∑j=1ηjG2(ξj,s)=J(s). |
(5) By (1) and (3), we get
G(t,s)=G1(t,s)+(lnt)α−1Δ∞∑j=1ηjG2(ξj,s)≥1Γ(α)(lnt)α−1lns(lnes)α−p1−1+(lnt)α−1Δ∞∑j=1ηjG2(ξj,s))≥1α−1(lnt)α−1(1Γ(α−1)(lns)(lnes)α−p1−1+1Δ∞∑i=1ηjG2(ξj,s)))=1α−1(lnt)α−1J(s). |
By (3), we have
G(t,s)=G1(t,s)+(lnt)α−1Δ∞∑j=1ηjG2(ξj,s)≤1Γ(α−1)(lnt)α−1(lnes)α−p1−1+(lnt)α−1Δ∞∑j=1ηjG2(ξj,s)≤1Γ(α−1)(lnt)α−1(lnes)α−p1−1+(lnt)α−1Δ∞∑i=1ηj1Γ(α−p2)(lnξj)α−p2−1(lnes)α−p1−1≤1Γ(α)(lnt)α−1(lnes)α−p1−1((α−1)+1Δ∞∑j=1ηj1Γ(α−p2)(lnξj)α−p2−1)≤σ(lnt)α−1, |
hence, (5) holds. Similarly, we have
G(t,s)≤¯J(s),¯J(s)=1Γ(α−μ−1)(lns)(lnes)α−p1−1+1Δ∞∑i=1ηjG2(ξj,s), |
1α−μ−1(lnt)α−μ−1¯J(s)≤Dμ1+G(t,s)≤¯σ(lnt)α−μ−1. |
Let E={u(t)|u(t)∈C[1,e],HDμ1+u(t)∈C[1,e]} be a Banach space with the norm
‖u(t)‖=max{maxt∈[1,e]|u(t)|,maxt∈[1,e] HDμ1+|u(t)|}, |
and E is endowed with an order relation u≤v if u(t)≤v(t),HDμ1+u(t)≤HDμ1+v(t). Moreover, we define a normal cone of E by
K={u∈E:u(t)≥0,HDμ1+u(t)≥0, t∈[1,e]}, |
clearly, K is a normal cone, and define an operator
Tu(t)=∫e1G(t,s)ϕq(f(s,u(s),HDμ1+u(s)))sds, u∈K.(⋆) |
Problems (1.1) and (1.2) have a positive solution if and only if u is a fixed point of T in K.
Lemma 2.6. The operator T:K→E is continuous.
Proof. First, for u∈P, by the continuity of G(t,s), (lns)ϵϕq(f(s,u(s),HDμ1+u(s))), and the integrability of (lns)−ϵ,
Tu(t)=∫e1G(t,s)ϕq(f(s,u(s),HDμ1+u(s)))sds, u∈K |
is well defined on K. It thus follows from the uniform continuity of G(t,s) in [1,e]×[1,e] and
|Tu(t2)−Tu(t1)|≤∫e1|G(t2,s)−G(t1,s)|(lns)−ϵ(lns)ϵϕq(f(s,u(s),HDμ1+u(s)))sds |
that Tu∈C[1,e], u∈K. Furthermore, by the uniform continuity of HDμ1+G(t,s) for t,s∈[1,e], we get
HDμ1+(Tu)(t)=∫e1 HDμ1+G(t,s)ϕq(f(s,u(s),HDμ1+u(s)))sds∈C[1,e]. |
Let un, u∈K, un→u in C1[1,e]. Since G(t,s),HDμ1+G(t,s) are uniformly continuous, there exists M>0 such that
max{G(t,s),HDμ1+G(t,s)}≤M, t, s∈[1,e]. |
On the other hand, since un→u in C1[1,e], there exists Υ>0 such that ‖un‖≤Υ (n=1,2,⋯), and then ‖u‖≤Υ. Furthermore, (lns)ϵϕq(f(s,x0,x1)) is continuous on [1,e]×R+×R+, so (lns)ϵϕq(f(s,x0,x1)) is uniformly continuous on [1,e]×[0,Υ]×[0,Υ]. Hence, for any ε>0 there exists δ>0 such that, for any s1, s2∈[1,e], x10, x20 x11, x21∈[0,Υ], |s1−s2|<δ,|x10−x20|<δ,|x11−x21|<δ, we have
|(lns1)ϵϕq(f(s1,x10,x11))−(lns2)ϵϕq(f(s2,x20,x21))|<ε. | (2.9) |
By ‖un−u‖→0, for the above δ>0, there exists N0 such that, n>N0, we have
|un(t)−u(t)|, |HDμ1+un(s)−HDμ1+u(s)|≤‖un−u‖<δ, for any t∈[1,e]. |
Hence, for any t∈[1,e], n>N0, by (2.9), we have
|(lnt)ϵϕq(f(t,un(t),HDμ1+un(t))−(lnt)ϵϕq(f(t,u(t),HDμ1+u(t)))|<ε. | (2.10) |
Thus, for n>N, t∈[1,e], by (2.10), we have
|(Tun)(t)−(Tu)(t)|=|∫e1G(t,s)ϕq(f(s,un(s),HDμ1+un(s)))sds−∫e1G(t,s)ϕq(f(s,u(s),HDμ1+u(s)))sds|=|∫e1G(t,s)(lns)−ϵ((lns)ϵϕq(f(s,un(s),HDμ1+un(s)))−(lns)ϵϕq(f(s,u(s),HDμ1+u(s))))dss|≤M∫e1(lns)−ϵ((lns)ϵϕq(f(s,un(s),HDμ1+un(s)))−(lns)ϵϕq(f(s,u(s),HDμ1+u(s))))dss≤Mε∫e1(lns)−ϵdss, |
and
|HDμ1+(Tun)(t)− HDμ1+(Tu)(t)|=|∫e1 HDμ1+G(t,s)ϕq(f(s,u(s),HDμ1+u(s)))sds−∫e1Dμ1+G(t,s)ϕq(f(s,u(s),Dμ1+u(s)))sds|=|∫e1Dμ1+G(t,s)(lns)−ϵ((lns)ϵϕq(f(s,un(s),HDμ1+un(s)))−(lns)ϵϕq(f(s,u(s),HDμ1+u(s))))dss|≤M∫e1(lns)−ϵ((lns)ϵϕq(f(s,un(s),HDμ1+un(s)))−(lns)ϵϕq(f(s,u(s),HDμ1+u(s))))dss≤Mε∫e1(lns)−ϵdss, |
and hence, we get ‖Tun−Tu‖0→0, ‖HDμ1+(Tun)−HDμ1+(Tu)‖0→0 (n→∞). That is ‖Tun−Tu‖→0(n→∞), namely T is continuous in the space E.
Lemma 2.7. T:K→K is completely continuous.
Proof. From Lemma 2.5, we have (Tu)(t)≥0,HDμ1+(Tu)(t)≥0, t∈[1,e], then we have T(K)⊂K. Now we will prove that TV is relatively compact for bounded V⊂K. Since V is bounded, there exists D>0 such that for any u∈V, ‖u‖≤D, and by the continuity of (lnt)ϵϕq(f(t,x0,x1)) on [1,e]×[0,D]×[0,D], there exists C>0 such that |(lns)ϵϕq(f(s,u(s),HDμ1+u(s)))|≤C for s∈[1,e], u∈V. Hence, for t∈[1,e], u∈V, we have
|Tu(t)|=∫e1G(t,s)ϕq(f(s,u(s),HDμ1+u(s)))sds=∫e1G(t,s)(lns)−ϵ(lns)ϵϕq(f(s,u(s),HDμ1+u(s)))sds≤C∫e1J(s)(lns)−ϵdss=CB1, |
where B1=∫e1J(s)(lns)−ϵdss. Similarly, we can derive
|HDμ1+(Tu)(t)|≤C¯B1, t∈[1,e], u∈V, |
where ¯B1=∫e1¯J(s)(lns)−ϵdss, which shows that TV is bounded. Next we will verify that HDμ1+(TV) is equicontinuous. Let t1,t2∈[1,e],t1<t2,u∈V, we get
|HDμ1+(Tu)(t2)−HDμ1+(Tu)(t1)|=|(lnt2)α−1−μ∫e1(lnes)α−p1−1Γ(α−μ)ϕq(f(s,u(s),HDμ1+u(s)))sds−∫t21(lnt2s)α−1−μΓ(α−μ)ϕq(f(s,u(s),HDμ1+u(s)))sds−(lnt1)α−1−μ∫e1(lnes)α−p1−1Γ(α−μ)ϕq(f(s,u(s),HDμ1+u(s)))sds+∫t11(lnt1s)α−1−μΓ(α−μ)ϕq(f(s,u(s),HDμ1+u(s)))sds|≤|((lnt2)α−1−μ−(lnt1)α−1−μ)|∫e1(lnes)α−p1−1Γ(α−μ)ϕq(f(s,u(s),HDμ1+u(s)))sds+|1Γ(α−μ)∫t21(lnt2s)α−1−μ(lns)−ϵ(lns)ϵϕq(f(s,u(s),HDμ1+u(s)))sds−1Γ(α−μ)∫t11(lnt1s)α−1−μ(lns)−ϵ(lns)ϵϕq(f(s,u(s),HDμ1+u(s)))sds|≤CΓ(α−μ)((lnt2)α−μ−1−(lnt1)α−μ−1)+CΓ(α−μ)[∫t21(lnt2s)α−1−μ(lns)−ϵdss−∫t11(lnt1s)α−1−μ(lns)−ϵdss]. |
Furthermore,
∫t1(lnts)α−1−μ(lns)−ϵdss=(lnt)α−μ−ϵ∫e1(lnes)α−1−μ(lns)−ϵdss. |
Thus, we obtain
|HDμ1+(Tu)(t2)−HDμ1+(Tu)(t1)|≤CΓ(α−μ)((lnt2)α−μ−1−(lnt1)α−μ−1)+CB2Γ(α−μ)((lnt2)α−μ−ϵ−(lnt1)α−μ−ϵ), ∀u∈V, |
where B2=∫e1(lnes)α−μ−1(lns)−ϵdss. From above and the uniform continuity of (lnt)α−μ−ϵ,(lnt)α−μ−1, we can derive that TV is relatively compact in C1[1,e], and so we get that T:K→K\ is completely continuous.
For convenience, we denote
ϖ=min{(∫e1J(s)(lns)−ϵdss)−1,(∫e1¯J(s)(lns)−¯ϵdss)−1}. | (3.1) |
Theorem 3.1. Assume that (H0) hold, and
(H1) (lnt)ϵϕq(f(t,x0,x1)) is continuous and nondecreasing on x0,x1;
(H2) For any t×x0×x1∈[1,e]×R+×R+, there exists d>0 such that (lnt)ϵϕq(f(t,d,d))≤ϖd hold. Then the boundary value problem (1.1,1.2) has the maximal and minimal positive solutions u⋆ and v⋆ on [1,e], such that
0<‖u⋆‖≤d, 0<‖v⋆‖≤d. |
Moreover, for initial values u0(t)=d(lnt)α−1, v0(t)=0, t∈[1,e], define the iterative sequences {un} and {vn} by
un=Tun−1=Tnu0, vn=Tvn−1=Tnv0, | (3.2) |
then
limn→∞un=limn→∞Tnu0=u⋆, limn→∞vn=limn→∞Tnv0=v⋆. | (3.3) |
Proof. By Lemma 2.7, we know that T:K→K is completely continuous. Now we show T is nondecreasing. For any u1,u2,HDμ1+u1,HDμ1+u2 ∈K and u1≤u2,HDμ1+u1<HDμ1+u2, according to the definition T and (H2), we know that Tu1≤Tu2. Let ¯Kd={x∈K:‖x‖≤d}. Next we prove that T:¯Kd→¯Kd. If u∈¯Kd, then ‖u‖≤d, i.e. ‖u‖0≤d,‖HDμ1+u‖0≤d, by (4) of Lemma 2.5 and (H1),(H2), we have
(Tu)(t)=∫e1G(t,s)ϕq(f(s,u(s),HDμ1+u(s)))sds≤∫e1J(s)(lns)−ϵ(lns)ϵϕq(f(s,d,d))sds ≤ϖd∫e1J(s)(lns)−ϵdss=d, t∈[1,e], | (3.4) |
Dμ1+(Tu)(t)=∫e1 HDμ1+G(t,s)ϕq(f(s,u(s),HDμ1+u(s)))sds≤∫e1¯J(s)(lns)−ϵ(lns)ϵϕq(f(s,d,d))sds≤ϖd∫e1¯J(s)(lns)−ϵdss=d, t∈[1,e], | (3.5) |
then (3.4)and(3.5) show that ‖Tu‖=max{maxt∈[1,e]|Tu(t)|,maxt∈[1,e] HDμ1+|Tu(t)|}≤d, hence A(Kd)⊆Kd.
Let u0(t)=d(lnt)α−1, t∈[1,e], then u0(t)∈¯Kd. Let u1=Tu0, u2=T2u0, then we have u1, u2∈¯Kd. We denote un+1=Tun=Tnu0 (n=0,1,2,⋯). In view of the fact that T:Kd→Kd, it follows that un∈T(Kd)⊆Kd (n=1,2,⋯). Since T is completely continuous, we assert that the sequence {un}∞n=1 has a convergent subsequence {unk}∞k=1 such that limk→∞unk=u⋆∈Kd.
Since u1=Tu0∈Kd, by Lemma 2.5 and (H2), we get
Tu0(t)=∫e1G(t,s)(lns)−ϵ(lns)ϵϕq(f(s,u0(s),HDμ1+u0(s)))sds≤ϖd(lnt)α−1∫e1J(s)(lns)−ϵdss=d(lnt)α−1=u0(t), t∈[1,e], | (3.6) |
which implies u1≤u0. Hence, by (H1),
u2(t)=Tu1(t)=∫e1G(t,s)(lns)−ϵ(lns)ϵϕq(f(s,u1(s),HDμ1+u1(s)))sds≤∫e1G(t,s)(lns)−ϵ(lns)ϵϕq(f(s,u0(s),HDμ1+u0(s)))sds=Tu0(t)=u1(t), t∈[1,e]. |
By the induction, we have un+1≤un (n=0,1,2,⋯). Therefore, limn→∞un=u⋆. Using the continuity of T and taking the limit n→∞ in un+1=Tun yields Tu⋆=u⋆.
Let v0(t)=0, t∈[1,e], apparently v0(t)∈¯Kd. Let v1=Tv0, v2=T2v0, then we have v1∈¯Kd, v2∈¯Kd. Let vn=Tvn−1=Tnv0 (n=0,1,2,⋯), and since T:¯Kd→¯Kd, we have vn∈T(¯Kd)⊆¯Kd (n=1,2,3,⋯). It follows from the complete continuity of T that {vn}∞n=1 is a sequentially compact set. Since v1=Tv0∈¯Kd, we get
v1(t)=Tv0(t)=(T0)(t)≥0, t∈[1,e]. |
Hence, we obtain
v2(t)=Tv1(t)≥(T0)(t)=v1(t), t∈[1,e]. |
By induction, we have vn+1≥vn (n=0,1,2,⋯), 1≤t<e. Hence, there exists v⋆∈¯Kd such that vn→v⋆ as n→∞. Applying the continuity of T and vn+1=Tvn, we have that Tv⋆=v⋆.
If f(t,0)≢0, 1≤t≤e, then the zero function is not the solution of BVP (1.1,1.2). Hence, v⋆ is a positive solution of BVP (1.1,1.2).
It is well known that each fixed point of T in K is a solution of BVP (1.1,1.2), so by above proof, we get that u⋆ and v⋆ are positive solutions of the BVP (1.1,1.2) on [1,e].
Remark 3.1. The iterative sequence in Theorem 3.1 begins with a simple function which is useful for computational purpose.
Remark 3.2. u⋆ and v⋆ are the maximal and minimal solutions of the BVP (1.1,1.2) in ¯Kd, but u⋆ and v⋆ may be coincident, and when u⋆ and v⋆ are coincident, the boundary value problem (1.1,1.2) will have a unique solution in ¯Kd.
We consider the problem (1.1, 1.2) with α=72,μ=32,p=32,p2=12,p1=32,ηj=12j2,ξj=e1j,ϵ=12, f(t,x,y)=(lnt)−14x12+y32, obviously, (lnt)12ϕp((lnt)−14x12+y32)=((lnt)34x12+lnty32)12,
Δ=Γ(α)Γ(α−p1)−Γ(α)Γ(α−p2)∞∑i=1ηj(lnξj)α−p2−1=Γ(72)Γ(2)−Γ(72)Γ(3)∞∑j=112j2lne1j=0.7295Γ(72). |
By simple calculation, we have f satisfies (H0),(H1). Take d=1.5,
ϖ=min{(∫e1J(s)(lns)−ϵdss)−1,(∫e1¯J(s)(lns)−¯ϵdss)−1}≈2.5722, |
then we have (lnt)12ϕ32((lnt)−141.512+1.532)=3.1200<2.5722⋅1.5, so the assumptions(H2) hold. So the assumptions of Theorem 3.1 are all satisfied. Hence, we deduce that the problem has a unique solution, which can be obtained by the iteration algorithm given in the Theorem 3.1, for the initial values u0(t)=2.5(lnt)52, v0(t)=0, t∈[1,e], we obtain the iterative sequence {uk,vk}(k=1,2,…) on [1,e] by (3.2).
The maximal and minimal iterative positive solutions are investigated for a singular Hadamard fractional differential equation boundary value problem in this paper. Moreover, iterative schemes are established for approximating the maximal and minimal positive solutions based upon these properties. The iterative sequence in Theorem 3.1 begins with a simple function which is useful for computational purpose.
The author declares that there is no conflict of interests regarding the publication of this paper.
All authors contributed equally and significantly in writing this article. All authors read and approved the final manuscript.
The authors would like to thank the referee for very important comments, which improved the results and the quality of the paper. This research was supported by the National Natural Science Foundation of China (11701252, 11801045, 11871302), NSF of Shandong Province (No. ZR2019YQ05). Changzhou institute of technology research fund (YN1775).
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