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Volume 2007, Article ID 10368,8pages doi:10.1155/2007/10368

Research Article

Positive Solutions for Boundary Value Problem of Nonlinear Fractional Differential Equation

Moustafa El-Shahed

Received 16 May 2007; Revised 24 July 2007; Accepted 26 September 2007 Recommended by Ferhan Merdivenci Atici

We are concerned with the existence and nonexistence of positive solutions for the non- linear fractional boundary value problem:Dα0+u(t) +λa(t)f(u(t))=0, 0< t <1,u(0)= u(0)=u(1)=0, where 2< α <3 is a real number andDα0+is the standard Riemann- Liouville fractional derivative. Our analysis relies on Krasnoselskiis fixed point theorem of cone preserving operators. An example is also given to illustrate the main results.

Copyright © 2007 Moustafa El-Shahed. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

1. Introduction

One of the most frequently used tools for proving the existence of positive solutions to the integral equations and boundary value problems is Krasnoselskii theorem on cone expansion and compression and its norm-type version due to Guo [1]. In 1994, Wang [2] applied Krasnoselskii’s work to eigenvalue problems to establish intervals of the pa- rameter for which there is at least one positive solution. Since this pioneering work, a lot of research has been done in this area. Differential equations of fractional order, or fractional differential equations, in which an unknown function is contained under the operation of a derivative of fractional order, have been of great interest recently. Many pa- pers and books on fractional calculus and fractional differential equations have appeared recently [3–8]. It should be noted that most of papers and books on fractional calculus are devoted to the solvability of linear initial fractional differential equations in terms of special functions. Recently, there are some papers which deal with the existence and mul- tiplicity of solution (or positive solution) of nonlinear fractional differential equation by the use of techniques of nonlinear analysis. Bai and L¨u [3] studied the existence and mul- tiplicity of positive solutions of nonlinear fractional differential equation boundary value

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problem:

Dα0+u(t)= ft,u(t), 0< t <1, 1< α2,

u(0)=u(1)=0, (1.1)

whereD0+α is the standard Riemann-Liouville fractional derivative. Zhang [7] considered the existence of solution of nonlinear fractional boundary value problems involving Ca- puto’s derivative

Dαtu(t)= ft,u(t), 0< t <1, 1< α2,

u(0)=ν=0, u(1)=ρ=0. (1.2)

In another paper, by using fixed point theorem on cones, Zhang [8] studied the exis- tence and multiplicity of positive solutions of nonlinear fractional boundary value prob- lem

Dαtu(t)= ft,u(t), 0< t <1, 1< α2,

u(0) +u(0)=0, u(1) +u(1)=0, (1.3) whereDtαis the Caputo’s fractional derivative.

The purpose of this paper is to establish the existence and nonexistence of positive solutions to nonlinear fractional boundary value problem

Dα0+u(t) +λa(t)fu(t)=0, 0< t <1, 2< α <3, (1.4)

u(0)=u(0)=u(1)=0, (1.5)

whereλis a positive parameter,a: (0, 1)[0,) is continuous with01a(t),dt >0, and f : [0,)[0,) is continuous. Here, by a positive solution of the boundary value prob- lem we mean a function which is positive on (0, 1) and satisfies differential equation (1.4) and the boundary condition (1.5). The paper has been organized as follows. InSection 2, we give basic definitions and provide some properties of certain Green’s functions which are needed later. We also state Krasnoselskii’s fixed point theorem for cone preserving operators. InSection 3, we establish some results for the existence and nonexistence of positive solutions to problem (1.4) and (1.5). In the end of this section, an example is also given to illustrate the main results.

2. Preliminaries

For the convenience of the reader, we present here some notations and lemmas that will be used in the proof of our main results.

Definition 2.1. LetEbe a real Banach space. A nonempty closed convex setKEis called cone ofEif it satisfies the following conditions:

(1)xK,σ0 impliesσxK;

(2)xK,xKimpliesx=0.

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Definition 2.2. An operator is called completely continuous if it is continuous and maps bounded sets into precompact sets.

All results are based on the following fixed point theorem of cone expansion- compression type due to Krasnoselskii’s. See, for example, [1,9,10].

Theorem 2.3. LetEbe a Banach space and letKEbe a cone inE. Assume thatΩ1and Ω2are open subsets ofEwith 0Ω1andΩ1Ω2. LetT:K2\Ω1)Kbe completely continuous operator. In addition, suppose that either

(H1)Tuu,uK∂Ω1andTuu,uK∂Ω2or (H2)Tuu,uK∂Ω2andTuu,uK∂Ω1. holds. ThenThas a fixed pint inK2\Ω1).

Definition 2.4. The Riemann-Liouville fractional derivative of orderα >0 of a continuous function f : [0,)Ris defined to be [4,6]

Dα0+f(t)= 1 Γ(nα)

d dt

nt

0

f(s)

(ts)αn+1ds, n=[α] + 1. (2.1) Lemma 2.5 (see [3]). Letα >0. IfuC(0, 1)L(0, 1), then the fractional differential equa- tion

Dα0+u(t)=0 (2.2)

has solutionsu(t)=c1tα1+c2tα2+···+cNtN1,ciR,i=0, 1,...,N.

Lemma 2.6 (see [3]). Assume thatuC(0, 1)L(0, 1) with a fractional derivative of order α >0. Then

I0+α Dα0+u(t)=u(t) +c1tα1+c2tα2+···+cNtN1 (2.3) for someciR,i=0, 1,...,N.

Lemma 2.7. LetyC[0, 1], then the boundary value problem

Dα0+u(t) +y(t)=0, 0< t <1, 2< α <3, (2.4)

u(0)=u(0)=u(1)=0 (2.5)

has a unique solution

u(t)= 1

0G(t,s)y(s)ds, (2.6)

where

G(t,s)=

(1s)α2tα1

Γ(α) if 0ts1, (1s)α2tα1

Γ(α)

(ts)α1

Γ(α) if 0st1.

(2.7)

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Proof. We can reduce (2.4) to an equivalent integral equation

u(t)=c1tα1+c2tα2+c3tα3 t

0

(ts)α1

Γ(α) . (2.8)

By (2.5), the unique solution of problem (2.4), (2.5) is u(t)=

1 0

tα1(1s)α2

Γ(α) y(s)ds t

0

(ts)α1 Γ(α) y(s)ds

= 1

0G(t,s)y(s)ds.

(2.9)

The proof is complete.

It is obvious that

G(t,s)0, G(1,s)G(t,s), 0t,s1. (2.10) Lemma 2.8. G(t,s)q(t)G(1,s) for 0t,s1, whereq(t)=tα1.

Proof. Ifts, then

G(t,s) G(1,s)=

tα1(1s)α2(ts)α1 (1s)α2(1s)α1

=t(tts)α2(ts)(ts)α2 (1s)α2(1s)α1

t(tts)α2(ts)(tts)α2 (1s)α2(1s)α1

tα2tα1.

(2.11)

Ifts, then

G(t,s)

G(1,s)=tα1. (2.12)

The proof is complete.

3. Main results

In this section, we will apply Krasnoeselskii’s fixed point theorem to the eigenvalue prob- lem (1.4), (1.5). We note thatu(t) is a solution of (1.4), (1.5) if and only if

u(t)=λ 1

0G(t,s)a(s)fu(s)ds, 0t1. (3.1) For our constructions, we shall consider the Banach spaceX=C[0, 1] equipped with standard normu =max0t1|u(t)|,uX. We define a conePby

P=

uX:u(t)q(t)u,t[0, 1]. (3.2)

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It is easy to see that ifuP, thenu =u(1). Define an integral operatorT:PXby Tu(t)=λ

1

0G(t,s)a(s)fu(s)ds, 0t1,uP. (3.3) Notice from (2.10) andLemma 2.8that, foruP,Tu(t)0 on [0, 1] and

Tu(t)=λ 1

0G(t,s)a(s)fu(s)ds

λq(t) 1

0G(1,s)a(s)fu(s)ds

λq(t) max

0t1

1

0G(t,s)a(s)fu(s)ds

=q(t)Tu(t), t,s[0, 1].

(3.4)

Thus,T(P)P. In addition, standard arguments show thatTis completely continuous.

We define some important constants [11]:

A= 1

0G(1,s)a(s)q(s)ds, B= 1

0G(1,s)a(s)ds, F0=lim

u0+supf(u)

u , f0=lim

u0+inf f(u) u , F= lim

u+supf(u)

u , f= lim

u+inf f(u) u .

(3.5)

Here we assume that 1/A f=0 if f→ ∞, 1/BF0= ∞ifF00, 1/A f0=0 if f0→ ∞, and 1/BF= ∞ifF0.

Theorem 3.1. Suppose thatA f> BF0, then for eachλ(1/A f, 1/BF0), the problem (1.4) and (1.5) has at least one positive solution.

Proof. We choose>0 sufficiently small such that (F0+)λB1. By the definition of F0, we can see that there exists anl1>0, such that f(u)(F0+)ufor 0< ul1. IfuP withu =l1, we have

Tu(t)=Tu(1)=λ 1

0G(1,s)a(s)fu(s)ds

λ 1

0G(1,s)a(s)F0+ u(s)ds

λF0+ u

1

0G(1,s)a(s)ds

λBF0+

uu.

(3.6)

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Then we haveTuu. Thus if we letΩ1= {uX:u< l1}, thenTuu foruP∂Ω1. We chooseδ >0 andc(0, 1/4), such that

λfδ

1

c G(1,s)a(s)q(s)ds1. (3.7)

There existsl3>0, such that f(u)(fδ)uforu > l3. Therefore, for eachuPwith u =l2, we have

Tu(t)=(Tu)(1)=λ 1

0G(1,s)a(s)fu(s)ds

λ 1

c G(1,s)a(s)f u(s)ds

λf u

1

c G(1,s)a(s)q(s)dsu.

(3.8)

Thus if we letΩ2= {uE:u< l2}, thenΩ1Ω2andTuuforuP∂Ω2. Condition (H1) of Krasnoesel’skii’s fixed point theorem is satisfied. So there exists a fixed

point ofTinP. This completes the proof.

Theorem 3.2. Suppose thatA f0> BF, then for eachλ(1/A f0, 1/BF) the problem (1.4) and (1.5) has at least one positive solution.

Proof. Choose>0 sufficiently small such that (f0)λA1. From the definition off0, we see that there exists anl1>0, such that f(u)(f0)ufor 0< ul1. IfuPwith u =l1, we have

Tu(t)=(Tu)(1)=λ 1

0G(0,s)a(s)fu(s)ds

λf0

uAu.

(3.9)

Then we haveTuufor uP∂Ω1. By the same method, we can see that ifuP withu =l2, then we haveTuuforuP∂Ω2. Condition (H2) of Krasnoesel’skii’s fixed-point theorem is satisfied. So there exists a fixed point ofTinP.

This completes the proof.

Theorem 3.3. Suppose thatλB f(u)< uforu(0,). Then the problem (1.4) and (1.5) has no positive solution.

Proof. Assume to the contrary thatuis a positive solution of (1.4) and (1.5). Then u(1)=λ

1

0G(1,s)a(s)fu(s)ds <1 B

1

0G(1,s)a(s)u(s)ds

1 Bu(1)

1

0G(1,s)a(s)ds=u(1).

(3.10)

This is a contradiction and completes the proof.

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Theorem 3.4. Suppose thatλA f(u)> uforu(0,). Then the problem (1.4) and (1.5) has no positive solution.

Proof. Assume to the contrary thatuis a positive solution of (1.4) and (1.5). Then u(1)=λ

1

0G(1,s)a(s)fu(s)ds > 1 A

1

0G(1,s)a(s)u(s)ds

u(1) A

1

0G(1,s)a(s)q(s)dsu(1).

(3.11)

This is a contradiction and completes the proof.

Finally, we give an example to illustrate the results obtained in this paper.

Example 3.5. Consider the equation

D(2.7)0+ u(t) +λ(2t+ 3)8u2+u

u+ 1 (4 + sinu)=0, 0t1, u(0)=u(0)=u(1)=0.

(3.12)

ThenF0= f0=4,F=40, f=24, and 4u < f(u)<40u. By direct calculations, we ob- tain thatA=0.240408 andB=0.575602. FromTheorem 3.2, we see that ifλ(0.173316, 0.434328), then the problem (3.12) has a positive solution. FromTheorem 3.3, we have that ifλ <0.043433, then the problem (3.12) has a positive solution. ByTheorem 3.4, if λ >1.0399, then the problem (3.12) has a positive solution.

References

[1] D. J. Guo and V. Lakshmikantham, Nonlinear Problems in Abstract Cones, vol. 5 of Notes and Reports in Mathematics in Science and Engineering, Academic Press, Boston, Mass, USA, 1988.

[2] H. Wang, “On the existence of positive solutions for semilinear elliptic equations in the annulus,”

Journal of Differential Equations, vol. 109, no. 1, pp. 1–7, 1994.

[3] Z. Bai and H. L¨u, “Positive solutions for boundary value problem of nonlinear fractional differ- ential equation,” Journal of Mathematical Analysis and Applications, vol. 311, no. 2, pp. 495–505, 2005.

[4] A. A. Kilbas, H. M. Srivastava, and J. J. Trujillo, Theory and Applications of Fractional Differential Equations, vol. 204 of North-Holland Mathematics Studies, Elsevier Science, Amsterdam, The Netherlands, 2006.

[5] K. S. Miller and B. Ross, An Introduction to the Fractional Calculus and Fractional Differential Equations, A Wiley-Interscience Publication, John Wiley & Sons, New York, NY, USA, 1993.

[6] I. Podlubny, Fractional Differential Equations, vol. 198 of Mathematics in Science and Engineering, Academic Press, San Diego, Calif, USA, 1999.

[7] S. Zhang, “Existence of solution for a boundary value problem of fractional order,” Acta Mathe- matica Scientia, vol. 26, no. 2, pp. 220–228, 2006.

[8] S. Zhang, “Positive solutions for boundary-value problems of nonlinear fractional differential equations,” Electronic Journal of Differential Equations, vol. 2006, no. 36, pp. 1–12, 2006.

[9] H. Amann, “Fixed point equations and nonlinear eigenvalue problems in ordered Banach spaces,” SIAM Review, vol. 18, no. 4, pp. 620–709, 1976.

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[10] M. A. Krasnosel’ski˘ı, Positive Solutions of Operator Equations, P. Noordhoff, Groningen, The Netherlands, 1964.

[11] H.-R. Sun and W.-K. Wen, “On the number of positive solutions for a nonlinear third order boundary value problem,” International Journal of Difference Equations, vol. 1, no. 1, pp. 165–

176, 2006.

Moustafa El-Shahed: Department of Mathematics, College of Education, P.O. Box 3771, Unizah-Qasssim, Qasssim University, Saudi Arabia

Email address:[email protected]

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Call for Papers

Intermodal transport refers to the movement of goods in a single loading unit which uses successive various modes of transport (road, rail, water) without handling the goods during mode transfers. Intermodal transport has become an important policy issue, mainly because it is considered to be one of the means to lower the congestion caused by single-mode road transport and to be more environmentally friendly than the single-mode road transport. Both consider- ations have been followed by an increase in attention toward intermodal freight transportation research.

Various intermodal freight transport decision problems are in demand of mathematical models of supporting them.

As the intermodal transport system is more complex than a single-mode system, this fact offers interesting and challeng- ing opportunities to modelers in applied mathematics. This special issue aims to fill in some gaps in the research agenda of decision-making in intermodal transport.

The mathematical models may be of the optimization type or of the evaluation type to gain an insight in intermodal operations. The mathematical models aim to support deci- sions on the strategic, tactical, and operational levels. The decision-makers belong to the various players in the inter- modal transport world, namely, drayage operators, terminal operators, network operators, or intermodal operators.

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