Research article

Positive solutions for nonlinear Hadamard fractional differential equations with integral boundary conditions

  • Received: 07 April 2019 Accepted: 25 July 2019 Published: 12 August 2019
  • MSC : 26A33, 34A12, 34G20

  • In this paper, we prove the existence and uniqueness of a positive solution of nonlinear Hadamard fractional differential equations with integral boundary conditions. In the process we employ the Schauder and Banach fixed point theorems and the method of upper and lower solutions to show the existence and uniqueness of a positive solution. Finally, an example is given to illustrate our results.

    Citation: Abdelouaheb Ardjouni. Positive solutions for nonlinear Hadamard fractional differential equations with integral boundary conditions[J]. AIMS Mathematics, 2019, 4(4): 1101-1113. doi: 10.3934/math.2019.4.1101

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  • In this paper, we prove the existence and uniqueness of a positive solution of nonlinear Hadamard fractional differential equations with integral boundary conditions. In the process we employ the Schauder and Banach fixed point theorems and the method of upper and lower solutions to show the existence and uniqueness of a positive solution. Finally, an example is given to illustrate our results.


    Fractional differential equations arise from a variety of applications including in various fields of science and engineering. In particular, problems concerning qualitative analysis of the positivity of such solutions for fractional differential equations (FDE) have received the attention of many authors, see [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20] and the references therein.

    Fractional differential equations involving Riemann-Liouville and Caputo type fractional derivatives have been studied extensively by several researchers. However, the literature on Hadamard type fractional differential equations is not yet as enriched. The fractional derivative due to Hadamard, introduced in 1892, differs from the aforementioned derivatives in the sense that the kernel of the integral in the definition of Hadamard derivative contains a logarithmic function of arbitrary exponent.

    Zhang in [1] investigated the existence and uniqueness of positive solutions for the nonlinear fractional differential equation

    {Dαx(t)=f(t,x(t)), 0<t1,x(0)=0,

    where Dα is the standard Riemann Liouville fractional derivative of order 0<α<1, and f:[0,1]×[0,)[0,) is a given continuous function. By using the method of the upper and lower solution and cone fixed-point theorem, the author obtained the existence and uniqueness of a positive solution.

    The nonlinear fractional differential equation boundary value problem

    {Dαx(t)+f(t,x(t))=0, 0<t<1,x(0)=x(1)=0,

    has been investigated in [2], where 1<α2, and f:[0,1]×[0,)[0,) is a given continuous function. By means of some fixed-point theorems on cone, some existence and multiplicity results of positive solutions have been established.

    In [3], Matar discussed the existence and uniqueness of the positive solution of the following nonlinear fractional differential equation

    {CDαx(t)=f(t,x(t)), 0<t1,x(0)=0, x(0)=θ>0,

    where CDα is the standard Caputo's fractional derivative of order 1<α2, and f:[0,1]×[0,)[0,) is a given continuous function. By employing the method of the upper and lower solutions and Schauder and Banach fixed point theorems, the author obtained positivity results.

    The integral boundary value problems of the nonlinear fractional differential equation

    {Dαx(t)+f(t,x(t))=Dβg(t,x(t)), 0<t<1,x(0)=0, x(1)=1Γ(αβ)10(1s)αβ1g(s,x(s))ds,

    has been investigated in [4], where 1<α2, 0<β<α, g,f:[0,1]×[0,)[0,) are given continuous functions, g is non-decreasing on x. By employing the method of the upper and lower solutions and the Schauder and Banach fixed point theorems, the authors obtained positivity results.

    Benchohra and Lazreg in [5] studied the existence and uniqueness of solutions to the following boundary value problem

    {Dα1x(t)=f(t,x(t),Dα1x(t)), t[1,T],x(1)=x0,

    where Dα1 is the Hadamard fractional derivatives of order 0<α1. By employing the fixed point theorems, the authors obtained existence and uniqueness results.

    In this paper, we are interested in the analysis of qualitative theory of the problems of the positive solutions to fractional differential equations. Inspired and motivated by the works mentioned above, we concentrate on the positivity of solutions for the nonlinear Hadamard fractional differential equation with integral boundary conditions

    {Dα1x(t)+f(t,x(t))=Dβ1g(t,x(t)), 1<t<e,x(1)=0, x(e)=1Γ(αβ)e1(loges)αβ1g(s,x(s))dss, (1.1)

    where 1<α2, 0<βα1, g,f:[1,e]×[0,)[0,) are given continuous functions, g is non-decreasing on x and f is not required any monotone assumption. To show the existence and uniqueness of the positive solution, we transform (1.1) into an integral equation and then by the method of upper and lower solutions and use Schauder and Banach fixed point theorems.

    This paper is organized as follows. In section 2, we introduce some notations and lemmas, and state some preliminaries results needed in later section. Also, we present the inversion of (1.1) and the Banach and Schauder fixed point theorems. In section 3, we give and prove our main results on positivity, and we provide an example to illustrate our results.

    Let X=C([1,e]) be the Banach space of all real-valued continuous functions defined on the compact interval [1,e], endowed with the maximum norm. Define the subspace A={xX:x(t)0, t[1,e]} of X. By a positive solution xX, we mean a function x(t)>0, 1te.

    Let a,bR+ such that b>a. For any x[a,b], we define the upper-control function

    U(t,x)=sup{f(t,λ):aλx},

    and lower-control function

    L(t,x)=inf{f(t,λ):xλb}.

    Obviously, U(t,x) and L(t,x) are monotonous non-decreasing on the argument x and L(t,x)f(t,x)U(t,x).

    We introduce some necessary definitions, lemmas and theorems which will be used in this paper. For more details, see [16,17,18].

    Definition 2.1. [16] The Riemann-Liouville fractional integral of order α>0 for a continuous function x:[0,+)R is defined as

    Iαx(t)=1Γ(α)t0(ts)α1x(s)dss.

    Definition 2.2. [16] The Hadamard fractional integral of order α>0 for a continuous function x:[1,+)R is defined as

    Iα1x(t)=1Γ(α)t1(logts)α1x(s)dss.

    Definition 2.3. [16] The Riemann-Liouville fractional derivative of order α>0 for a function x:[0,+)R is defined as

    Dαx(t)=1Γ(nα)(tddt)nt0(ts)nα1x(s)dss, n1<α<n.

    Definition 2.4. [16] The Hadamard fractional derivative of order α>0 for a function x:[1,+)R is defined as

    Dα1x(t)=1Γ(nα)(tddt)nt1(logts)nα1x(s)dss, n1<α<n.

    Lemma 2.5. [16] Let n1<αn, nN. The equality (Iα1Dα1x)(t)=0 is valid if and only if

    x(t)=nk=1ck(logt)αkfor each t[1,e],

    where ckR, k=1,...,n are arbitrary constants.

    Lemma 2.6. [16] For all μ>0 and ν>1,

    1Γ(μ)t1(logts)μ1(logs)νdss=Γ(ν+1)Γ(μ+ν+1)(logt)μ+ν.

    The following lemma is fundamental to our results.

    Lemma 2.7. Let xC1([1,e]), x(2) and gt exist,  then x is a solution of (1.1) if and only if

    x(t)=e1H(t,s)f(s,x(s))dss+1Γ(αβ)t1(logts)αβ1g(s,x(s))dss, (2.1)

    where

    H(t,s)={(logtloges)α1(logts)α1Γ(α), 1ste,(logtloges)α1Γ(α),1tse. (2.2)

    Proof. Let x be a solution of (1.1). First we write this equation as

    Iα1Dα1x(t)=Iα1(f(t,x(t))+Dβ1g(t,x(t))), 1<t<e.

    From Lemma 2.5, we have

    x(t)c2(logt)α2c1(logt)α1=Iα1f(t,x(t))+Iα1Dβ1g(t,x(t))=Iα1f(t,x(t))+Iαβ1Iβ1Dβ1g(t,x(t))=Iα1f(t,x(t))+Iαβ1(g(t,x(t))c3(logt)β1)=1Γ(α)t1(logts)α1f(s,x(s))dss+1Γ(αβ)t1(logts)αβ1g(s,x(s))dssc3Γ(β)(logt)α1Γ(α).

    Then

    x(t)=c2+(c1c3Γ(β)Γ(α))(logt)α11Γ(α)t1(logts)α1f(s,x(s))dss+1Γ(αβ)t1(logts)αβ1g(s,x(s))dss.

    By boundary conditions x(1)=0 and x(e)=1Γ(αβ)e1(logts)αβ1g(s,x(s))dss, we obtain c2=0 and

    c1c3α1=1Γ(α)e1(loges)α1f(s,x(s))dss.

    Therefore

    x(t)=1Γ(α)e1(logtloges)α1f(s,x(s))dss1Γ(α)t1(logts)α1f(s,x(s))dss+1Γ(αβ)t1(logts)αβ1g(s,x(s))dss=e1H(t,s)f(s,x(s))dss+1Γ(αβ)t1(logts)αβ1g(s,x(s))dss.

    Since each step is reversible, the converse follows easily. This completes the proof.

    Corollary 2.8. The function H defined by (2.2) satisfies

    (1) H(t,s)>0 for t,s(1,e),

    (2) max1teH(t,s)=H(s,s), s(1,e).

    In this subsection, we state the fixed point theorems which enable us to prove the existence and uniqueness of a positive solution of (1.1).

    Definition 2.9. Let (X,.) be a Banach space and Φ:XX. The operator Φ is a contraction operator if there is an λ(0,1) such that x,yX imply

    ΦxΦyλxy.

    Theorem 2.10. [21] Let C be a nonempty closed convex subset of a Banach space X and Φ:CC be a contraction operator. Then there is a unique xC with Φx=x.

    Theorem 2.11. [21] Let C be a nonempty closed convex subset of a Banach space X and Φ:CC be a continuous compact operator. Then Φ has a fixed point in C.

    In this section, we consider the results of existence problem for many cases of the FDE (1.1). Moreover, we introduce the sufficient conditions of the uniqueness problem of (1.1).

    To transform equation (2.1) to be applicable to Schauder fixed point, we define an operator Φ:AX by

    (Φx)(t)=e1H(t,s)f(s,x(s))dss+1Γ(αβ)t1(logts)αβ1g(s,x(s))dss, t[1,e], (3.1)

    where the figured fixed point must satisfy the identity operator equation Φx=x.

    The following assumptions are needed for the next results.

    (H1) Let x,xA, such that ax(t)x(t)b and

    {Dα1x(t)+U(t,x(t))Dβ1g(t,x(t)),Dα1x(t)+L(t,x(t))Dβ1g(t,x(t)),

    for any t[1,e].

    (H2) For t[1,e] and x,yX, there exist positive real numbers β1,β2<1 such that

    |g(t,y)g(t,x)|β1yx,|f(t,y)f(t,x)|β2yx.

    The functions x and x are respectively called the pair of upper and lower solutions for Equation (1.1).

    Theorem 3.1. Assume that (H1) is satisfied, then the FDE (1.1) has at least one solution xX satisfying x(t)x(t)x(t), t[1,e].

    Proof. Let C={xA:x(t)x(t)x(t), t[1,e]}, endowed with the norm x=maxt[1,e]|x(t)|, then we have xb. Hence, C is a convex, bounded, and closed subset of the Banach space X. Moreover, the continuity of g and f implies the continuity of the operator Φ on C defined by (3.1). Now, if xC, there exist positive constants cf and cg such that

    max{f(t,x(t)):t[1,e], x(t)b}<cf,

    and

    max{g(t,x(t)):t[1,e], x(t)b}<cg.

    Then

    |(Φx)(t)|e1H(s,s)|f(s,x(s))|dss+1Γ(αβ)t1(logts)αβ1|g(s,x(s))|dsscfe1(logsloges)α1Γ(α)dss+cg(logt)αβΓ(αβ+1)Γ(α)cfΓ(2α)+cgΓ(αβ+1).

    Thus,

    ΦxΓ(α)cfΓ(2α)+cgΓ(αβ+1).

    Hence, Φ(C) is uniformly bounded. Next, we prove the equicontinuity of Φ(C). Let xC, then for any t1,t2[1,e], t2>t1, we have

    |(Φx)(t2)(Φx)(t1)|1Γ(α)|e1(logt2loges)α1f(s,x(s))dsse1(logt1loges)α1f(s,x(s))dss|+1Γ(α)|t21(logt2s)α1f(s,x(s))dsst11(logt1s)α1f(s,x(s))dss|+1Γ(αβ)|t21(logt2s)αβ1g(s,x(s))dsst11(logt2s)αβ1g(s,x(s))dss|(logt2)α1(logt1)α1Γ(α)e1(loges)α1|f(s,x(s))|dss+1Γ(α)t11((logt2s)α1(logt1s)α1)|f(s,x(s))|dss+1Γ(α)t2t1(logt2s)α1|f(s,x(s))|dss+1Γ(αβ)t11((logt2s)αβ1(logt1s)αβ1)|g(s,x(s))|dss+1Γ(αβ)t2t1(logt2s)αβ1|g(s,x(s))|dsscfΓ(α+1)((logt2)α1(logt1)α1+(logt2)α(logt1)α)+cgΓ(αβ+1)((logt2)αβ(logt1)αβ).

    As t1t2 the right-hand side of the previous inequality is independent of x and tends to zero. Therefore, Φ(C) is equicontinuous. The Arzel\`{e}-Ascoli theorem implies that Φ:CX is compact. The only thing to apply Schauder fixed point is to prove that Φ(C)C. Let xC, then by hypotheses, we have

    (Φx)(t)=e1H(t,s)f(s,x(s))dss+1Γ(αβ)t1(logts)αβ1g(s,x(s))dsse1H(t,s)U(s,x(s))dss+1Γ(αβ)t1(logts)αβ1g(s,x(s))dsse1H(t,s)U(s,x(s))dss+1Γ(αβ)t1(logts)αβ1g(s,x(s))dssx(t),

    and

    (Φx)(t)=e1H(t,s)f(s,x(s))dss+1Γ(αβ)t1(logts)αβ1g(s,x(s))dsse1H(t,s)L(t,x(s))dss+1Γ(αβ)t1(logts)αβ1g(s,x(s))dsse1H(t,s)L(t,x(s))dss+1Γ(αβ)t1(logts)αβ1g(s,x(s))dssx(t).

    Hence, x(t)(Φx)(t)x(t), t[1,e], that is, Φ(C)C. According to Schauder fixed point theorem, the operator Φ has at least one fixed point xC. Therefore, the FDE (1.1) has at least one positive solution xX and x(t)x(t)x(t), t[1,e].

    Next, we consider many particular cases of the previous theorem.

    Corollary 3.2. Assume that there exist continuous functions k1, k2, k3 and k4 such that

    0<k1(t)g(t,x(t))k2(t)<, (t,x(t))[1,e]×[0,+), (3.2)

    and

    0<k3(t)f(t,x(t))k4(t)<, (t,x(t))[1,e]×[0,+). (3.3)

    Then, the FDE (1.1) has at least one positive solution xX. Moreover,

    e1H(t,s)k3(s)dss+1Γ(αβ)t1(logts)αβ1k1(s)dssx(t)e1H(t,s)k4(s)dss+1Γ(αβ)t1(logts)αβ1k2(s)dss. (3.4)

    Proof. By the given assumption (3.3) and the definition of control function, we have k3(t)L(t,x)U(t,x)k4(t), (t,x(t))[1,e]×[a,b]. Now, we consider the equations

    {Dα1x(t)+k3(t)=Dβ1k1(t),x(1)=0, x(e)=1Γ(αβ)e1(logts)αβ1k1(s)dss,Dα1x(t)+k4(t)=Dβ1k2(t),x(1)=0, x(e)=1Γ(αβ)e1(logts)αβ1k2(s)dss. (3.5)

    Obviously, Equations (3.5) are equivalent to

    x(t)=e1H(t,s)k3(s)dss+1Γ(αβ)t1(logts)αβ1k1(s)dss,x(t)=e1H(t,s)k4(s)dss+1Γ(αβ)t1(logts)αβ1k2(s)dss.

    Hence, the first implies

    x(t)1Γ(αβ)t1(logts)αβ1k1(s)dss=e1H(t,s)k3(s)dsse1H(t,s)L(s,x(s))dss,

    and the second implies

    x(t)1Γ(αβ)t1(logts)αβ1k2(s)dss=e1H(t,s)k4(s)dsse1H(t,s)U(s,x(s))dss,

    which are the upper and lower solutions of Equations (3.5), respectively. An application of Theorem 3.1 yields that the FDE (1.1) has at least one solution xX and satisfies Equation (3.4).

    Corollary 3.3. Assume that (3.2) holds and 0<σ<k(t)=limxf(t,x)< for t[1,e]. Then the FDE (1.1) has at least a positive solution xX.

    Proof. By assumption, if x>ρ>0, then 0|f(t,x)k(t)|<σ for any t[1,e]. Hence, 0<k(t)σf(t,x)k(t)+σ for t[1,e] and ρ<x<+. Now if max{f(t,x):t[1,e], xρ}ν, then k(t)σf(t,x)k(t)+σ+ν for t[1,e], and 0<x<+. By Corollary 3.3, the FDE (1.1) has at least one positive solution xX satisfying

    e1H(t,s)k(s)dssσ((logt)α1(logt)α)Γ(α+1)+1Γ(αβ)t1(logts)αβ1k1(s)dssx(t)e1H(t,s)k(s)dss+(σ+ν)((logt)α1(logt)α)Γ(α+1)+1Γ(αβ)t1(logts)αβ1k2(s)dss.

    Corollary 3.4. Assume that 0<σ<f(t,x(t))γx(t)+η< for t[1,e], and σ,  η and γ are positive constants with Γ(α)γΓ(2α)<1. Then, the FDE (1.1) has at least one positive solution xC([1,e]).

    Proof. Consider the equation

    {Dα1x(t)+(γx(t)+η)=Dβ1g(t,x(t)), 1<t<e,x(1)=0, x(e)=1Γ(αβ)e1(logts)αβ1g(s,x(s))dss. (3.6)

    Equation (3.6) is equivalent to integral equation

    x(t)=e1H(t,s)(γx(s)+η)dss+1Γ(αβ)t1(logts)αβ1g(s,x(s))dss.

    Let ω be a positive real number and ϕ=Γ(α)γΓ(2α)<1 such that ω>(1ϕ)1(ηΓ(α)Γ(2α)+cg). Then, the set Bω={xX:|x(t)|ω, 1te} is convex, closed, and bounded subset of C([1,e]). The operator F:BωBω given by

    (Fx)(t)=e1H(t,s)(γx(s)+η)dss+1Γ(αβ)t1(logts)αβ1g(s,x(s))dss,

    is compact as in the proof of Theorem 3.1. Moreover,

    |(Fx)(t)|Γ(α)γΓ(2α)x+ηΓ(α)Γ(2α)+cg.

    If xBω, then

    |(Fx)(t)|ϕω+(1ϕ)ω=ω,

    that is Fxω. Hence, the Schauder fixed theorem ensures that the operator F has at least one fixed point in Bω, and then Equation (3.6) has at least one positive solution x(t), where 1<t<e. Therefore, if t[1,e] one can asserts that

    x(t)=e1H(t,s)(γx(s)+η)dss+1Γ(αβ)t1(logts)αβ1g(s,x(s))dss=γe1H(t,s)x(s)dss+η((logt)α1(logt)α)Γ(α+1)+1Γ(αβ)t1(logts)αβ1g(s,x(s))dss.

    The definition of control function implies

    e1H(t,s)U(s,x(s))dsse1H(t,s)(γx(s)+η)dss=x(t)1Γ(αβ)t1(logts)αβ1g(s,x(s))dss,

    then x is an upper positive solution of the FDE (1.1). Moreover, one can consider

    x(t)=σ((logt)α1(logt)α)Γ(α+1)+1Γ(αβ)t1(logts)αβ1g(s,x(s))dss,

    as a lower positive solution of Equation (1.1). By Theorem 3.1, the FDE (1.1) has at least one positive solution xC([1,e]), where x(t)x(t)x(t).

    The last result is the uniqueness of the positive solution of (1.1) using Banach contraction principle.

    Theorem 3.5. Assume that (H1) and (H2) are satisfied and

    (Γ(α)β2Γ(2α)+β1Γ(αβ+1))<1. (3.7)

    Then the FDE (1.1) has a unique positive solution xC.

    Proof. From Theorem 3.1, it follows that the FDE (1.1) has at least one positive solution in C. Hence, we need only to prove that the operator defined in (3.1) is a contraction on C. In fact, for any x,yC, we have

    |(Φx)(t)(Φy)(t)|e1H(t,s)|f(s,x(s))f(s,y(s))|dss+1Γ(αβ)t1(logts)αβ1|g(s,x(s))g(s,y(s))|dss(Γ(α)β2Γ(2α)+β1Γ(αβ+1))xy.

    Hence, the operator Φ is a contraction mapping by (3.7). Therefore, the FDE (1.1) has a unique positive solution xC.

    Finally, we give an example to illustrate our results.

    Example 3.6. We consider the nonlinear Hadamard fractional differential equation

    {D751x(t)D1511+x(t)2+x(t)=13+t(3+tx(t)2+x(t)), 1<t<e,x(1)=0, x(e)=1Γ(6/5)e1(loges)151+x(s)2+x(s)dss, (3.8)

    where g(t,x)=1+x2+x and f(t,x)=13+t(3+tx2+x). Since g is non-decreasing on x,

    limx1+x2+x=limx13+t(3+tx2+x)=1,

    and

    12g(t,x)1, 33+ef(t,x)1,

    for (t,x)[1,e]×[0,+), hence by Corollary 3.2, (3.8) has a positive solution which verifies x_(t)x(t)¯x(t) where

    ¯x(t)=(logt)25(logt)75Γ(125)+(logt)65Γ(115),

    and

    x_(t)=3((logt)25(logt)75)(3+e)Γ(125)+(logt)652Γ(115),

    are respectively the upper and lower solutions of (3.8). Also, we have

    Γ(α)β2Γ(2α)+β1Γ(αβ+1)0.353<1,

    then by Theorem 3.5, (3.8) has a unique positive solution which is bounded by x_ and ¯x.

    The author would like to thank the anonymous referee for his/her valuable remarks.

    The author declares no conflict of interest.



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