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The existence of solutions of Hadamard fractional differential equations with integral and discrete boundary conditions on infinite interval

  • In this article, the properties of solutions of Hadamard fractional differential equations are investigated on an infinite interval. The equations are subject to integral and discrete boundary conditions. A new proper compactness criterion is introduced in a unique space. By applying the monotone iterative technique, we have obtained two positive solutions. And, an error estimate is also shown at the end. This study innovatively uses a monotonic iterative approach to study Hadamard fractional boundary-value problems containing multiple fractional derivative terms on infinite intervals, and it enriches some of the existing conclusions. Meanwhile, it is potentially of practical significance in the research field of computational fluid dynamics related to blood flow problems and in the direction of the development of viscoelastic fluids.

    Citation: Jinheng Liu, Kemei Zhang, Xue-Jun Xie. The existence of solutions of Hadamard fractional differential equations with integral and discrete boundary conditions on infinite interval[J]. Electronic Research Archive, 2024, 32(4): 2286-2309. doi: 10.3934/era.2024104

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  • In this article, the properties of solutions of Hadamard fractional differential equations are investigated on an infinite interval. The equations are subject to integral and discrete boundary conditions. A new proper compactness criterion is introduced in a unique space. By applying the monotone iterative technique, we have obtained two positive solutions. And, an error estimate is also shown at the end. This study innovatively uses a monotonic iterative approach to study Hadamard fractional boundary-value problems containing multiple fractional derivative terms on infinite intervals, and it enriches some of the existing conclusions. Meanwhile, it is potentially of practical significance in the research field of computational fluid dynamics related to blood flow problems and in the direction of the development of viscoelastic fluids.



    The two most important aspects for studying differential equations are fitting and solving. First, for a practical problem, we want to determine whether we can fit a suitable equation that can realistically portray the practical problem. Second, for a practical problem, we want to determine whether we can find suitable solutions to verify the reasonableness of the equation, thus reflecting the practicability of the practical problem.

    Fractional differential equations (FDEs) are popular in the fields of physics, engineering, and biology because they can well characterize complex processes such as heritability and memory properties; see the related literature [1,2,3,4,5]. In order to better fit the constructed equations, we can add corresponding boundary-value problems (BVPs) to the equations, such as the integral BVP and the multipoint BVP; we can also regard the problem as a system of equations by means of coupling, or we can add the semilinear Laplace operators. In these ways, different practical problems can be better transformed into equations [6,7,8]. After we obtain the equation, we need to verify the practical significance of the solutions. And, there are a number of ways to determine the properties of solutions, such as the monotonic iterative methods[9,10], and others. More detailed studies are as follows.

    Hadamard [11] established the concept of fractional derivatives in 1892. Hadamard derivatives differ significantly from Riemann-Liouville and Caputo derivatives in terms of fractional powers; specifically, the kernel of the integral contains the logarithmic function of an arbitrary exponent. Hadamard derivatives have stable characterizations in terms of expansion and well matched the problems on the half-open interval; see [4]. At the same time, the Hadamard FDE has an important role in the mechanical behavior of viscoelastic materials and turbulence phenomena in fluid dynamics; see [12,13]. Since the problem we discuss in this paper is restricted to half-open intervals, we consider the use of Hadamard fractional derivatives.

    Integral boundary conditions are instrumental in computational fluid dynamics studies related to blood flow problems. When dealing with these problems, the usual approach is to assume that the cross-section of the blood vessels is circular, which is not always reasonable. In order to optimize this detailed problem and make the results more detailed and convincing, the integral boundary conditions can be included to develop an efficient and applicable method. More details can be found in [14]. In addition, integral boundary conditions have other uses in physics and biology; see [15].

    The authors of [16] found that the study of fractional BVPs for m-points on infinite intervals is almost non-existent, so they studied the related problem by referencing [17] for the first time. The authors of [17] found that the intrinsic equations of viscoelastic fluids in the models of physics and biology are closely connected with the FDEs; see [18]. Therefore, multipoint boundary problems are beginning to be studied.

    In recent years, Hao et al. [19] considered a Hadamard FDE with integral boundary conditions. By applying Schauder's fixed-point theorem and Banach's contraction principle, they obtained the unique solution of the equation. Li et al. [20] considered the two integral boundary conditions of the Riemann-Liouville FDE. By employing Krasnoselskii's fixed-point theorem and Banach's contraction principle, they obtained the existence of the solution.

    Zhang and Liu [21] applied Banach's contraction mapping principle, the monotone iterative method, and the Avery-Peterson fixed-point theorem to show the existence, uniqueness, and multiplicity results of solutions:

    {HDα1+x(t)+a(t)f(t,x(t))=0,2<α<3,t(1,+),x(1)=x(1)=0,  HDα11+x(+)=mi=1αiHIβi1+x(η)+bnj=1σjx(ξj),

    where HDα1+ is the Hadamard-type fractional derivative of order α; 1<η<ξi<+; b,αi,σj0 (i,j=1,2,,n).

    In [22], the authors investigated the fractional BVP with

    {HDα1+u(t)+p(t)f(t,u(t),HDα11+u(t))=0,  t(1,+),u(k)(1)=0,  HDα11+u(+)=+1g(t)u(t)dtt+mi=1λHiIβi1+x(η),

    where n1<αn; 0kn2, η(1,+); λi, βi>0 (i=1,2,,m); gC([1,+),(0,+)). By employing the Bai-Ge fixed-point theorem, they obtained the solutions of the Hadamard-type FDE.

    By considering the above two boundary conditions, research questions and the need for practical problem-solving, this article investigates the existence of positive solutions to the following Hadamard-type FDE with an integral and multipoint discrete BVP:

    {HDθ1+x(t)+r(t)f(t,x(t),HDθ21+x(t),HDθ11+x(t))=0,  t(1,+),x(1)=x(1)=0,  HDθ11+x(+)=+1ω(t)x(t)dtt+mi=1βix(ηi), (1.1)

    where HDθ1+ is the Hadamard-type fractional derivative of order θ, 2<θ3; fC([1,+)×[0,+)×[0,+), [0,+)); ωL1[1,+), where ω0; 1<η1<η2<<ηm<+; βi denotes positive real constants (i=1,2,,m).

    In previous works, the fixed-point theorem is usually used to determine the existence of the solutions of the equations, while the innovation of this paper is the use of the monotone iterative method to solve Hadamard FDEs containing multiple lower-order derivative terms, which results in not only obtaining the existence of the two positive solutions, but also deriving the error estimation formula for the unique positive solution. This paper enriches the use of monotone iterative methods and has potential application to the development of blood flow modeling and properties of viscoelastic fluids for practical applications.

    In this section, it is essential to present some important lemmas.

    Definition 1. ([23]) Let φ>0; the Hadamard fractional integral of order φ for a function f:[1,+)R is defined as

    HIφ1+f(t)=1Γ(φ)t1(logts)φ1f(s)dss,   (t>1).

    Definition 2. ([23]) Let φ>0; the Hadamard fractional derivative of order φ for a function f:[1,+)R is defined as

    HDφ1+f(t)=1Γ(nφ)(tddt)nt1(logts)nφ1f(s)dss,   (t>1),

    where n=[φ]+1 and [φ] is the integer part of φ.

    Lemma 1. ([23]) If φ, ψ>0, then

    HIφ1+(logt)ψ1=Γ(ψ)Γ(φ+ψ)(logt)φ+ψ1,  HDφ1+(logt)ψ1=Γ(ψ)Γ(ψφ)(logt)ψφ1.

    Lemma 2. ([23]) Let φ>0; the solution of HDφ1+x(t)=0 with xC[1,)L1[1,) is valid if, and only if,

    x(t)=ni=1ci(logt)φi,

    and the following formula holds:

    HIφ1+HDφ1+x(t)=x(t)+ni=1ci(logt)φi,

    where ciR, i=1,2,,n, n1<φ<n.

    Lemma 3. We define h(t)L1(1,+), 0<+1h(s)dss<+, and

    Υ+1ω(t)(logt)θ1dtt=:Υ1>0, (2.1)

    where

    Υ=Γ(θ)mi=1βi(logηi)θ1. (2.2)

    Then, the solution of the Hadamard-type FDE given by

    {HDθ1+x(t)+h(t)=0,  t(1,+),x(1)=x(1)=0,  HDθ11+x(+)=+1ω(t)x(t)dtt+mi=1βix(ηi), (2.3)

    can be expressed as

    x(t)=+1K(t,s)h(s)ds,   t(1,+), (2.4)

    where

    K(t,s)=K1(t,s)+K2(t,s), (2.5)
    K1(t,s)=k(t,s)+mi=1βi(logt)θ1ΥΓ(θ)ki(ηi,s), (2.6)
    K2(t,s)=(logt)θ1Υ1+1K1(t,s)ω(t)dtt,k(t,s)=1Γ(θ){(logt)θ1(logts)θ1,1st<,(logt)θ1,1ts<,ki(ηi,s)={(logηi)θ1(logηis)θ1,1sηi<,(logηi)θ1,1ηis<. (2.7)

    Proof. Because of Lemma 2, (2.3) has a solution:

    x(t)=HIθ1+h(t)+c1(logt)θ1+c2(logt)θ2+c3(logt)θ3. (2.8)

    From x(1)=x(1)=0, we know that c2=c3=0. From Lemma 1, we have

    HDθ11+x(t)=HI11+h(t)+c1Γ(θ)Γ(1).

    Considering the boundary condition HDθ11+x(+)=+1ω(t)x(t)dtt+mi=1βix(ηi), we conclude that

    c1=1Υ{+1h(s)dss++1ω(t)x(t)dttmi=1βiΓ(θ)ηi1(logηis)θ1h(s)dss}.

    Consequently, substituting c1, c2, and c3 into (2.8), we have

    x(t)=(logt)θ1Υ1h(s)dss+(logt)θ1Υ1ω(t)x(t)dtt1Γ(θ)t1(logts)θ1h(s)dssmi=1βi(logt)θ1ΥΓ(θ)ηi1(logηis)θ1h(s)dss.

    Next, after piecing together and organizing the first and third terms of the above equation, we get

    x(t)=(logt)θ1Γ(θ)1h(s)dss+(Γ(θ)Υ)(logt)θ1ΥΓ(θ)1h(s)dss+(logt)θ1Υ1ω(t)x(t)dtt1Γ(θ)t1(logts)θ1h(s)dssmi=1βi(logt)θ1ΥΓ(θ)ηi1(logηis)θ1h(s)dss,

    with the help of (2.2) and some arrangement, we obtain

    x(t)=(logt)θ1Γ(θ)1h(s)dss+mi=1βi(logt)θ1ΥΓ(θ)1(logηi)θ1h(s)dss+(logt)θ1Υ1ω(t)x(t)dtt1Γ(θ)t1(logts)θ1h(s)dssmi=1βi(logt)θ1ΥΓ(θ)ηi1(logηis)θ1h(s)dss=1k(t,s)h(s)dss+mi=1βi(logt)θ1ΥΓ(θ)1ki(ηi,s)h(s)dss+(logt)θ1Υ1ω(t)x(t)dtt=1K1(t,s)h(s)dss+(logt)θ1Υ1ω(t)x(t)dtt.

    Then,

    +1ω(t)x(t)dtt=1ω(t)(1K1(t,s)h(s)dss+(logt)θ1Υ1ω(t)x(t)dtt)dtt=1ω(t)1K1(t,s)h(s)dssdtt+1Υ1ω(t)(logt)θ1dtt1ω(t)x(t)dtt.

    Given that Υ1=Υ1ω(t)(logt)θ1dtt, we have

    +1ω(t)x(t)dtt=ΥΥ1+1ω(t)+1K1(t,s)h(s)dssdtt=ΥΥ1+1h(s)+1K1(t,s)ω(t)dttdss.

    Thus,

    x(t)=1K1(t,s)h(s)dss+(logt)θ1Υ1ω(t)x(t)dtt=1K1(t,s)h(s)dss+(logt)θ1Υ(ΥΥ11h(s)1K1(t,s)ω(t)dttdss)=1K1(t,s)h(s)dss+1(logt)θ1Υ11K1(t,s)ω(t)dtth(s)dss=+1K1(t,s)h(s)dss++1K2(t,s)h(s)dss=+1K(t,s)h(s)dss.

    Lemma 4. The function K(t,s) defined in (2.5) satisfies the following conditions:

    1) K(t,s) is continuous for (t,s)[1,+)×[1,+);

    2) K(t,s) is nonnegative on [1,+)×[1,+);

    3) K(t,s)1+(logt)θ1K(t,s)(logt)θ11Υ1 for all (t,s)[1,+)×[1,+).

    Proof. We obviously get that conditions 1) and 2) above. Next, we show that condition 3) holds. For all (t,s)[1,+)×[1,+), we deduce the following:

    K(t,s)(logt)θ1=K1(t,s)(logt)θ1+K2(t,s)(logt)θ1=k(t,s)(logt)θ1+mi=1βiki(ηi,s)ΥΓ(θ)+1Υ1+1K1(t,s)ω(t)dtt1Γ(θ)+mi=1βi(logηi)θ1ΥΓ(θ)+1Υ1Γ(θ)+1ω(t)(logt)θ1dtt+1Υ1mi=1βi(logηi)θ1ΥΓ(θ)+1ω(t)(logt)θ1dtt=1Γ(θ)+mi=1βi(logηi)θ1ΥΓ(θ)+1ΥΥ1Γ(θ)+1ω(t)(logt)θ1dtt(Υ+mi=1βi(logηi)θ1)=1Γ(θ)+1Γ(θ)mi=1Γ(θ)βi(logηi)θ1ΥΓ(θ)+1ΥΥ1+1ω(t)(logt)θ1dtt=ΥΥ1+Υ1(Γ(θ)Υ)+Γ(θ)ΥΓ(θ)Υ1Γ(θ)ΥΥ1=1Υ1.

    The proof is completed.

    By Lemma 3 and (2.4), we get

    HDθ11+x(t)=+1K(t,s)h(s)dss,       t(1,+),

    where

    K(t,s)=k(t,s)+mi=1βiki(ηi,s)Υ+Γ(θ)Υ1+1K1(t,s)ω(t)dtt,                    k(t,s)={0,     1st<+,1,     1ts<+. (2.9)

    From Lemma 3 and (2.4), we have

    HDθ21+x(t)=+1K(t,s)h(s)dss,       t(1,+),

    where

    K(t,s)=k(t,s)+mi=1βilogtΥki(ηi,s)+Γ(θ)logtΥ1+1K1(t,s)ω(t)dtt,               k(t,s)={ logtlogts,        1st<+, logt,                  1ts<+. (2.10)

    Lemma 5. The functions K(t,s) and K(t,s), defined in (2.9) and (2.10), ensure that

    0K(t,s)Γ(θ)Υ1,      0K(t,s)1+logtK(t,s)logtΓ(θ)Υ1,   t,s[1,+). (2.11)

    Proof. According to (2.9) and (2.10), we can easily get that K(t,s)0 and K(t,s)1+logt0. Furthermore, for all t, s[1,+),

    K(t,s)=k(t,s)+mi=1βiki(ηi,s)Υ+Γ(θ)Υ1+1K1(t,s)ω(t)dtt1+mi=1βi(logηi)θ1Υ+1Υ11(logt)θ1ω(t)dtt  +Γ(θ)Υ1mi=1βi(logηi)θ1ΥΓ(θ)1(logt)θ1ω(t)dtt=1+Γ(θ)ΥΥ+1ΥΥ11(logt)θ1ω(t)dtt(Υ+mi=1βi(logηi)θ1)=1+Γ(θ)ΥΥ+Γ(θ)(ΥΥ1)ΥΥ1=Γ(θ)Υ1.

    By the same steps, we have

    K(t,s)logt=k(t,s)logt+mi=1βiki(ηi,s)Υ+Γ(θ)Υ1+1K1(t,s)ω(t)dtt1+Γ(θ)ΥΥ+1ΥΥ11(logt)θ1ω(t)dtt(Υ+mi=1βi(logηi)θ1)=1+Γ(θ)ΥΥ+Γ(θ)(ΥΥ1)ΥΥ1=Γ(θ)Υ1.

    The proof is completed.

    Next, let

    F={x,HDθ21+x,HDθ11+xC[1,+):supt[1,+)|x(t)|1+(logt)θ1<+,                supt[1,+)|HDθ21+x(t)|1+logt<+,supt[1,+)|HDθ11+x(t)|<+},
    ||x||=max{supt[1,+)|x(t)|1+(logt)θ1,supt[1,+)|HDθ21+x(t)|1+logt,supt[1,+)|HDθ11+x(t)|}.

    Similar to [19], (F,) is a Banach space.

    Lemma 6. Let UF be a bounded set. Then, U is relatively compact in F if the following conditions hold:

    1) For all x(t)U, x(t)1+(logt)θ1, HDθ21+x(t)1+logt, and HDθ11+x(t) are equicontinuous on any compact interval of [1,+).

    2) For all ε>0, there is a constant T=T(ε)>1, which satifies

    |x(t1)1+(logt1)θ1x(t2)1+(logt2)θ1|<ε,   |HDθ21+x(t1)1+logt1HDθ21+x(t2)1+logt2|<ε,

    and

    |HDθ11+x(t1)HDθ11+x(t2)|<ε,

    for any t1, t2>T and xU.

    Proof. This proof has been proved by Lemma 4 in [19], so it is omitted here. Define a cone P :

    P={xF:x(t)0, HDθ21+x(t)0, HDθ11+x(t)0, t[1,+)}.

    Next, we give two circumstances:

    (H1) fC([1,+)×[0,+)3,[0,+)) and f(t,0,0,0) on any subinterval of ; when , for any , is bounded on .

    , on any subinterval of , and .

    For the convenience of description, let

    According to Lemma 3, let be an operator with

    (2.12)

    Thus, we can get the solution of (1.1) to be the fixed point of the operator .

    Lemma 7. Assuming that and are valid, then is a continuous operator.

    Proof. is obvious for all and . Then, we have the evidence that is continuous:

    and

    Thus, we know that .

    Next, we give the proof that is a continuous operator. Let as in ; there is a constant such that , . Let . Next, we aim to prove that as . By , , the Lebesgue dominated convergence theorem, and continuity of , we can get

    Therefore,

    and

    Hence, is continuous.

    Lemma 8. Suppose that and and hold; then, is a compact operator.

    Proof. We will show this lemma in the following three procedures. First, let be a bounded subset of cone to prove the truth that is a bounded set of cone . There is a constant , which guarantees that for all . Let . By Lemmas 4 and 5, we get

    Hence, is bounded in .

    Second, we prove that condition 1) in Lemma 6 is established. For all , with and mentioned above, we get

    Because , and are uniformly continuous on any compact set , , and , respectively, we have

    Furthermore, in view of

    (2.13)

    the function does not depend on . Hence, we know that condition 1) in Lemma 6 is established.

    Finally, we prove that condition 2) in Lemma 6 is established. For any , since , we can get that there exists such that

    In view of

    for all , there exist two constants , such that, for all , ,

    for all , and ,

    Since

    for all , there exist constants and such that, for all , ,

    for all , and ,

    Let ; for all , , we deduce the following result by substituting (2.5)–(2.7) and applying Lemma 4:

    Next, we substitute the specific form of and apply the properties of . We have

    In the same way, considering the the properties of , we obtain

    Hence, we know that condition 2) in Lemma 6 is established. By Lemma 6, is a compact operator. The proof is completed.

    In consequence, according to Lemmas 7 and 8, the operator is completely continuous.

    Let be a constant, which satisfies

    for all , where is shown by Lemma 3.

    Regardless of the values of and , is nondecreasing and continuous, which satisfies

    where , , .

    Theorem 1. ([24]) Assume that hold; there are two positive solutions , of (1.1), where , . Actually, the solutions can be established by applying the sequences and , which satisfy

    (3.1)

    where

    (3.2)
    (3.3)

    with the initial values and . At the same time, for all , and converge to , , separately.

    Proof. Set if , where . According to and Lemmas 4 and 5, we have

    From the above inequalities, we prove that . Thus, , .

    First, let , , and . It is clear that , so . Furthermore, we know that , which means that and . By and Lemmas 4 and 5, we have

    (3.4)
    (3.5)
    (3.6)

    Hence,

    Suppose that the following holds:

    Then, we show that

    By , we can get

    In the same way, according to , (2.9) and (2.10), we get

    By induction, we obtain that and . For all , we derive the following:

    (3.7)
    (3.8)
    (3.9)

    Due to the complete continuity of and the existence of in , we obtain that as . So, we can get that there is a convergent subsequence of . This demonstrates that . Given that and is continuous, we prove that , which demonstrates that is a fixed point of .

    Since and , we can easily get that , which implies that . Similarly, we can get that and . By induction, for any , it can be seen that

    (3.10)
    (3.11)
    (3.12)

    Because of the properties of , there exists a , which satifies that as . So, we can get that there is a convergent subsequence of . This demonstrates that . Given that and is continuous, we have that , which implies that is a fixed point of . By induction, we obtain

    (3.13)

    According to (3.7), (3.10), and (3.13), we have

    This, together with and , yields that

    Because , it implies that is not a solution of (1.1). Therefore, and are the solutions of (1.1).

    There exist constants , , , as well as . Thus, satisfies the conditions of the following inequality:

    where , , .

    Suppose that hold and (1.1) has a unique solution , which relies on the following sequence:

    (4.1)

    The initial value of (4.1) is or . Furthermore, the error estimate can be defined as

    (4.2)

    where .

    Proof. According to Theorem 1, we prove that (1.1) has two positive solutions, which can be established by and , with the initial values and ,

    If , by and (3.1), we derive the following:

    Thus,

    By induction, we can get

    (4.3)

    If , by and (3.1), we have

    Thus, by the same arrangement and induction, we obtain

    If , by and (3.1), we have

    Thus, by using the same method, we get

    From the above steps, we have

    (4.4)

    Consequently, we show that

    (4.5)

    We suppose that (1.1) has a solution . It is apparent that and . Since is continuous and nondecreasing, together with (3.1), we can get

    Furthermore, by (4.4), we know that

    (4.6)

    This shows that . Hence, (1.1) has a unique solution . In consequence, in view of (4.5), it is obvious that (4.2) holds. The proof is completed.

    (5.1)

    where , , , , , , , , , , ,

    Thus,

    From the above steps, the conditions hold; according to Theorem 1, the BVP (1.1) has twin positive solutions and such that , .

    In this article, we first transformed the solutions of the equation into fixed points of the operator by means of a nonlinear alternative, while proving that the operator is completely continuous. Then, we applied two iterative sequences to find two positive solutions of the equation via the monotone iterative method. Finally, we derived the unique solution of the Hadamard fractional BVP. The significance of this article lies in the fact that we can use the monotone iterative method to discuss the existence and uniqueness of the positive solution to the equation containing multiple fractional-order derivative terms.

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

    This work was supported by the National Natural Science Foundation of China under grant (62073186), the Taishan Scholar Project of Shandong Province of China, and the NSF of Shandong Province (ZR2021MA097).

    The authors declare there are no conflicts of interest.



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