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International Scholarly Research NetworkISRN Mathematical AnalysisVolume 2011, Article ID 385459, 12 pagesdoi:10.5402/2011/385459
Research ArticlePositive Solutions for Boundary Value Problem ofNonlinear Fractional q-Difference Equation
Moustafa El-Shahed1 and Farah M. Al-Askar2
1 Department of Mathematics, Faculty of Arts and Sciences, Qassim-Unizah 51911,P.O. Box 3771, Saudi Arabia
2 Department of Mathematics, Majmaah University, Al-Majmaah 11952, P.O. Box 566, Saudi Arabia
Correspondence should be addressed to Farah M. Al-Askar, [email protected]
Received 17 January 2011; Accepted 24 February 2011
Academic Editor: G. L. Karakostas
Copyright q 2011 M. El-Shahed and F. M. Al-Askar. This is an open access article distributedunder the Creative Commons Attribution License, which permits unrestricted use, distribution,and reproduction in any medium, provided the original work is properly cited.
We investigate the existence of multiple positive solutions to the nonlinear q-fractional boundaryvalue problem cD
aqu(t) + a(t)f(u(t)) = 0, 0 ≤ t ≤ 1, 2 < a ≤ 3, u(0) = D2
qu(0) = 0, γDqu(1) +βD2
qu(1) = 0, by using a fixed point theorem in a cone.
1. IntroductionFractional differential calculus is a discipline to which many researchers are dedicatingtheir time, perhaps because of its demonstrated applications in various fields of science andengineering [1]. Many researchers studied the existence of solutions to fractional boundaryvalue problems, for example, [2–5].
The q-difference calculus or quantum calculus is an old subject that was initiallydeveloped by Jackson [6, 7], basic definitions and properties of q-difference calculus can befound in the book mentioned in [8].
The fractional q-difference calculus had its origin in the works by Al-Salam [9] andAgarwal [10]. More recently, maybe due to the explosion in research within the fractionaldifferential calculus setting, new developments in this theory of fractional q-differencecalculus were made, for example, q-analogues of the integral and differential fractionaloperators properties such as MittageLeffler function [11], just to mention some.
El-Shahed and Hassan [12] studied the existence of positive solutions of the q-difference boundary value problem:
−D2qu(t) = a(t)f(u(t)), 0 ≤ t ≤ 1,
αu(0) − βDqu(0) = 0,
γu(1) + δDqu(1) = 0.
(1.1)
2 ISRN Mathematical Analysis
Ferreira [13] considered the existence of positive solutions to nonlinear q-differenceboundary value problem:
(RLD
αqu)(t) = −f(t, u(t)), 0 < t < 1, 1 < α ≤ 2,
u(0) = u(1) = 0.(1.2)
In other paper, Ferreira [14] studied the existence of positive solutions to nonlinear q-difference boundary value problem:
(RLD
αqu)(t) = −f(t, u(t)), 0 < t < 1, 2 < α ≤ 3,
u(0) =(Dqu
)(0) = 0,
(Dqy
)(1) = β ≥ 0.
(1.3)
In this paper, we consider the existence of positive solutions to nonlinear q-differenceequation:
CDαqu + a(t)f(u(t)) = 0, 0 ≤ t ≤ 1, 2 < α ≤ 3, (1.4)
with the boundary conditions
u(0) = D2qu(0) = 0,
γDqu(1) + βD2qu(1) = 0,
(1.5)
where γ, β ≥ 0 and CDαq is the fractional q-derivative of the Caputo type.
2. Preliminaries of Fractional q-Calculus
Let q ∈ (0, 1) and define [8]
[α]q =qa − 1q − 1
= qa−1 + · · · + 1, a ∈ R. (2.1)
The q-analogue of the power (a − b)n is
(a − b)(0) = 1, (a − b)(n) =n−1∏k=0
(a − bqk
), a, b ∈ R, n ∈ N. (2.2)
If α is not a positive integer, then
(a − b)(α) = aα∞∏i=0
(1 − (b/a)qi
)(1 − (b/a)qα+i
) . (2.3)
ISRN Mathematical Analysis 3
Note that if b = 0, then a(α) = aα. The q-gamma function is defined by
Γq(x) =
(1 − q
)(x−1)(1 − q
)x−1 , x ∈ R \ {0,−1,−2, . . .}, 0 < q < 1 (2.4)
and satisfies Γq(x + 1) = [x]qΓq(x).The q-derivative of a function f is here defined by
Dqf(x) =dqf(x)dqx
=f(qx) − f(x)(
q − 1)x
(2.5)
and q-derivatives of higher order by
Dnqf(x) =
⎧⎨⎩f(x) if n = 0,
DqDn−1q f(x) if n ∈ N.
(2.6)
The q-integral of a function f defined in the interval [0, b] is given by
∫x
0f(t)dqt = x
(1 − q
) ∞∑n=0
f(xqn)qn, 0 ≤ ∣∣q∣∣ < 1, x ∈ [0, b]. (2.7)
If a ∈ [0, b] and f is defined in the interval [0, b], its integral from a to b is defined by
∫b
a
f(t)dqt =∫b
0f(t)dqt −
∫a
0f(t)dqt. (2.8)
Similarly as done for derivatives, an operator Inq can be defined, namely,
(I0qf)(x) = f(x),
(Inq f)(x) = Iq
(In−1q f
)(x), n ∈ N. (2.9)
The fundamental theorem of calculus applies to these operators Iq and Dq, that is,
(DqIqf
)(x) = f(x), (2.10)
and if f is continuous at x = 0, then
(IqDqf
)(x) = f(x) − f(0). (2.11)
4 ISRN Mathematical Analysis
Basic properties of the two operators can be found in the book mentioned in [8]. We nowpoint out three formulas that will be used later (iDq denotes the derivative with respect tovariable i) [13]
[a(t − s)](α) = aα(t − s)(α), (2.12)
tDq(t − s)(α) = [α]q(t − s)(α−1), (2.13)
(xDq
∫x
0f(x, t)dqt
)(x) =
∫x
0xDqf(x, t)dqt + f
(qx, x
). (2.14)
Remark 2.1. We note that if α > 0 and a ≤ b ≤ t, then (t − a)(α) ≥ (t − b)(α) [13].The following definition was considered first in [10].
Definition 2.2. Let α ≥ 0 and f be a function defined on [0, 1]. The fractional q-integral of theRiemann-Liouville type is (RLI0qf)(x) = f(x) and
(RLI
αqf)(x) =
1Γq(α)
∫x
a
(x − qt
)(α−1)f(t)dqt, α ∈ R+, x ∈ [0, 1]. (2.15)
Definition 2.3 (see [15]). The fractional q-derivative of the Riemann-Liouville type of orderα ≥ 0 is defined by (RLD0
qf)(x) = f(x) and
(RLD
αqf)(x) =
(D
[α]q I
[α]−αq f
)(x), α > 0, (2.16)
where [α] is the smallest integer greater than or equal to α.
Definition 2.4 (see [15]). The fractional q-derivative of the Caputo type of order α ≥ 0 isdefined by
(CD
αqf)(x) =
(I[α]−αq D
[α]q f)(x), α > 0, (2.17)
where [α] is the smallest integer greater than or equal to α.
Lemma 2.5. Let α, β ≥ 0 and let f be a function defined on [0, 1]. Then, the next formulas hold:
(1) (Iβq Iαq f)(x) = (Iα+βq f)(x),
(2) (DαqI
αq f)(x) = f(x).
The next result is important in the sequel. It was proved in a recent work by the authorof [13].
Theorem 2.6. Let α > 0 and n ∈ N. Then, the following equality holds:
(RLI
αq RLD
nqf)(x) = RLD
nq RLI
αqf(x) −
α−1∑k=0
xα−n+k
Γq(α + k − n + 1)
(Dk
qf)(0). (2.18)
ISRN Mathematical Analysis 5
Theorem 2.7 (see [15]). Let α > 0 and n ∈ R+ \N. Then, the following equality holds:
(Iαq CD
αqf)(x) = f(x) −
[α]−1∑k=0
xk
Γq(k + 1)
(Dk
qf)(0). (2.19)
3. Fractional Boundary Value Problem
Wewill consider now the question of existence of positive solutions to the following problem:
CDαqu(t) + a(t)f(u(t)) = 0, 0 ≤ t ≤ 1, 2 < α ≤ 3,
u(0) = D2qu(0) = 0,
γDqu(1) + βD2qu(1) = 0,
(3.1)
where γ, β ≥ 0, CDαq is the fractional q-derivative of the Caputo type, and f ∈ C([0,∞),
[0,∞)), a ∈ C([0, 1], [0,∞)) such that∫10 a(s)dqs > 0. To that end, we need the following
theorem.
Theorem 3.1 (see [16, 17]). Let X be a Banach space, and P ⊂ X is a cone in X. Assume that Ω1
and Ω2 are open subsets of X with 0 ∈ Ω1 and Ω1 ⊂ Ω2.Let T : P ∩ (Ω2 \Ω1) → P be completely continuous operator. In addition suppose either:
P1: ‖Tu‖ ≤ ‖u‖, u ∈ P ∩ ∂Ω1 and ‖Tu‖ ≥ ‖u‖, u ∈ P ∩ ∂Ω2 or
P2: ‖Tu‖ ≤ ‖u‖, u ∈ P ∩ ∂Ω2 and ‖Tu‖ ≥ ‖u‖, u ∈ P ∩ ∂Ω1,
holds. Then, T has a fixed point in P ∩ (Ω2 \Ω1).
Lemma 3.2. Let y ∈ C [0, 1]; then the boundary value problem
CDαqu(t) + y(t) = 0, 0 ≤ t ≤ 1, 2 < α ≤ 3,
u(0) = D2qu(0) = 0,
γDqu(1) + βD2qu(1) = 0
(3.2)
has a unique solution
u(t) =∫1
0G(t, qs)y(s)dqs, (3.3)
where
G(t, s) =
⎧⎪⎪⎪⎪⎪⎨⎪⎪⎪⎪⎪⎩
t(1 − s)(α−2)
Γq(α − 1)+β
γ
t(1 − s)(α−3)
Γq(α − 2)0 ≤ t ≤ s ≤ 1,
t(1 − s)(α−2)
Γq(α − 1)+β
γ
t(1 − s)(α−3)
Γq(α − 2)− (t − s)(α−1)
Γq(α)0 ≤ s ≤ t ≤ 1.
(3.4)
6 ISRN Mathematical Analysis
Proof. We may apply Lemma 2.5 and Theorem 2.7; we see that
u(t) = u(0) +Dqu(0)Γq(2)
t +D2
qu(0)
Γq(3)t2 − Iαq y(t). (3.5)
By using the boundary conditions u(0) = D2qu(0) = 0, we get
u(t) = At −∫ t
0
(t − qs
)(α−1)Γq(α)
y(s)dqs. (3.6)
Differentiating both sides of (3.6), one obtains, with the help of (2.13), and (2.14)
(Dqu
)(t) = A −
∫ t
0
[α − 1]q(t − qs
)(α−2)
Γq(α)y(s)dqs,
(D2
qu)(t) = −
∫ t
0
[α − 1]q[α − 2]q(t − qs
)(α−3)
Γq(α)y(s)dqs.
(3.7)
Then, by the condition γDqu(1) + βD2qu(1) = 0, we have
A =∫1
0
(1 − qs
)(α−2)Γq(α − 1)
y(s)dqs +β
γ
∫1
0
(1 − qs
)(α−3)Γq(α − 2)
y(s)dqs. (3.8)
The proof is complete.
Lemma 3.3. Function G defined above satisfies the following conditions:
G(t, qs) ≥ 0, G
(1, qs
) ≥ G(t, qs), 0 ≤ t, s ≤ 1, (3.9)
G(t, qs) ≥ g(t)G
(1, qs
), 0 ≤ t, s ≤ 1 with g(t) = t. (3.10)
Proof. We start by defining two functions
g1(t, s) =t(1 − s)(α−2)
Γq(α − 1)+β
γ
t(1 − s)(α−3)
Γq(α − 2)− (t − s)(α−1)
Γq(α), 0 ≤ s ≤ t ≤ 1,
g2(t, s) =t(1 − s)(α−2)
Γq(α − 1)+β
γ
t(1 − s)(α−3)
Γq(α − 2), 0 ≤ t ≤ s ≤ 1.
(3.11)
ISRN Mathematical Analysis 7
It is clear that g2(t, qs) ≥ 0. Now, g1(0, qs) = 0 and, in view of Remark 2.1, for t /= 0
g1(t, qs)=
t(1 − qs
)(α−2)Γq(α − 1)
+β
γ
t(1 − qs
)(α−3)Γq(α − 2)
−(t − qs
)(α−1)Γq(α)
≥ t(1 − qs
)(α−2)Γq(α − 1)
+β
γ
t(1 − qs
)(α−3)Γq(α − 2)
− tα−1(1 − qs
)(α−1)Γq(α)
≥ t(1 − qs
)(α−2)Γq(α − 1)
+β
γ
t(1 − qs
)(α−3)Γq(α − 2)
− t(1 − qs
)(α−1)Γq(α)
=t
Γq(α)
[[α − 1]q
(1 − qs
)(α−2) − (1 − qs)(α−1)] ≥ 0.
(3.12)
Therefore, G(t, qs) ≥ 0. Moreover, for fixed s ∈ [0, 1],
tDqg1(t, qs)=
(1 − qs
)(α−2)Γq(α − 1)
+β
γ
(1 − qs
)(α−3)Γq(α − 2)
−[α − 1]q
(t − qs
)(α−2)
Γq(α)
≥ 1Γq(α)
[[α − 1]q
(1 − qs
)(α−2) − [α − 1]q(t − qs
)(α−2)]
=1
Γq(α − 1)
[(1 − qs
)(α−2) − (t − qs)(α−2)] ≥ 0,
(3.13)
that is, g1(t, qs) is an increasing function of t. Obviously, g2(t, qs) is increasing in t, therefore;G(t, qs) is an increasing function of t for fixed s ∈ [0, 1]. This concludes the proof of (3.9).
Suppose now that t ≥ qs. Then,
G(t, qs)
G(1, qs
) =γ[α − 1]qt
(1 − qs
)(α−2) + β[α − 1]q[α − 2]qt(1 − qs
)(α−3) − γ(t − qs
)(α−1)
γ[α − 1]q(1 − qs
)(α−2) + β[α − 1]q[α − 2]q(1 − qs
)(α−3) − γ(1 − qs
)(α−1)
≥γ[α − 1]qt
(1 − qs
)(α−2) + β[α − 1]q[α − 2]qt(1 − qs
)(α−3) − γt(1 − qs
)(α−1)
γ[α − 1]q(1 − qs
)(α−2) + β[α − 1]q[α − 2]q(1 − qs
)(α−3) − γ(1 − qs
)(α−1)
= t.
(3.14)
If t ≤ qs, Then
G(t, qs)
G(1, qs
) = t, (3.15)
and this finishes the proof of (3.10).
8 ISRN Mathematical Analysis
Remark 3.4. If we let 0 < τ < 1, then
mint∈[τ,1]
G(t, qs) ≥ τG
(1, qs
), for s ∈ [0, 1]. (3.16)
Let X = C[0, 1] be the Banach space endowed with norm ‖u‖ = supt∈[τ,1]|u(t)|. Let τ = qn [18]for a given n ∈ N and define the cone P ⊂ X by
P ={u ∈ X : u(t) ≥ 0, min
t∈[τ,1]u(t) ≥ τ‖u‖
}, (3.17)
and the operator T : P → X is defined by
Tu(t) =∫1
0G(t, qs)a(s)f(u(s))dqs. (3.18)
Remark 3.5. It follows from the nonnegativeness and continuity of G, a, and f that theoperator T : P → X is completely continuous [3]. Moreover, for u ∈ P, Tu(t) ≥ 0 on [0, 1]and
mint∈[τ,1]
Tu(t) = mint∈[τ,1]
∫1
0G(t, qs)a(s)f(u(s))dqs
≥ τ
∫1
0G(1, qs
)a(s)f(u(s))dqs
= τ‖Tu‖
(3.19)
that is, T(P) ⊂ P .Throughout this section, we will use the following notations:
Λ1 =
(∫1
0G(1, qs
)a(s)dqs
)−1, Λ2 =
(τ2∫1
τ
G(1, qs
)a(s)dqs
)−1. (3.20)
It is obvious that Λ1,Λ2 > 0. Also, we define
f0 = limu→ 0+
max0≤t≤1
f(u)u
, f∞ = limu→+∞
max0≤t≤1
f(u)u
. (3.21)
Theorem 3.6. Let τ = qn with n ∈ N. And assume that the following assumptions are satisfied:
(H1) f0 = f∞ = 0;
(H2) There exist constant k > 0 and M ∈ (Λ2,∞) such that
f(u) ≥ Mk, for u ∈ [τk, k]. (3.22)
ISRN Mathematical Analysis 9
Then, the BVP (3.1) has at least two positive solutions u1, u2, such that
r < ‖u1‖ < k < ‖u2‖ < R. (3.23)
Proof. First, since f0 = 0, for any ε ∈ (0, Λ1) there exists r ∈ (0, k) such that
f(u) ≤ εu, for u ∈ [0, r]. (3.24)
Letting Ω1 = {u ∈ P : ‖u‖ < r}, for any u ∈ ∂Ω1, we get
‖Tu‖ = maxt∈[0,1]
∫1
0G(t, qs)a(s)f(u(s))dqs
≤ εr
∫1
0G(1, qs
)a(s)dqs < r = ‖u‖,
(3.25)
which yields
‖Tu‖ ≤ ‖u‖, ∀u ∈ ∂Ω1. (3.26)
Thus,
i(T,Ω1, P) = 1. (3.27)
Second, in view of f∞ = 0, then for any ε ∈ (0,Λ1), there exists l > k such that
f(u) ≤ εu, for u ∈ [l,∞) (3.28)
and we consider two cases.
Case 1. Suppose that f(u) is unbounded; then from f ∈ C([0,∞), [0,∞)), there is R > l suchthat
f(u) ≤ f(R), for u ∈ [0, R], (3.29)
then, from (3.28) and (3.29), one has
f(u) ≤ f(R) ≤ εR, for u ∈ [0, R]. (3.30)
10 ISRN Mathematical Analysis
For u ∈ ∂Ω2, we get
‖Tu‖ = maxt∈[0,1]
∫1
0G(t, qs)a(s)f(u(s))dqs
≤∫1
0G(1, qs
)a(s)f(R)dqs
≤ εR
∫1
0G(1, qs
)a(s)dqs
< R = ‖u‖.
(3.31)
Case 2. Suppose that f(u) is bounded and L = max0≤t≤1,0≤u≤R |f(t, u(t))|. Taking R =max{L/ε, k}, for u ∈ ∂Ω2, we get
‖Tu‖ = maxt∈[0,1]
∫1
0G(t, qs)a(s)f(u(s))dqs
≤ L
∫1
0G(1, qs
)a(s)dqs
≤ εR
∫1
0G(1, qs
)a(s)dqs
< R = ‖u‖.
(3.32)
Hence, in either case, we always may set Ω2 = {u ∈ P : ‖u‖ < R} such that
‖Tu‖ ≤ ‖u‖, ∀u ∈ ∂Ω2. (3.33)
Thus,
i(T,Ω2, P) = 1. (3.34)
Finally, set Ω = {u ∈ P : ‖u‖ < k}, for u ∈ ∂Ω, since mint∈[τ,1]u(t) ≥ τ‖u‖ = τk for u ∈ P , andhence, for any u ∈ ∂Ω, from (H2), we can get
‖Tu‖ = maxt∈[0,1]
∫1
0G(t, qs)a(s)f(u(s))dqs
≥ τ
∫1
0G(1, qs
)a(s)f(u(s))dqs
≥ τ2Mk
∫1
τ
G(1, qs
)a(s)dqs > k = ‖u‖,
(3.35)
ISRN Mathematical Analysis 11
which implies
‖Tu‖ ≥ ‖u‖, ∀u ∈ ∂Ω. (3.36)
Thus,
i(T,Ω, P) = 0. (3.37)
Hence, since r < k < R and from (3.27), (3.34), and (3.37), it follows from the additivity of thefixed point index that
i(T,Ω2 \Ω, P
)= 1,
i(T,Ω \Ω1, P
)= −1.
(3.38)
Thus, T has two positive solutions u1, u2 such that r < ‖u1‖ < k < ‖u2‖ < R for t ∈ (0, 1]. So,the proof is complete.
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12 ISRN Mathematical Analysis
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The Scientific World JournalHindawi Publishing Corporation http://www.hindawi.com Volume 2014
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Algebra
Discrete Dynamics in Nature and Society
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Hindawi Publishing Corporationhttp://www.hindawi.com Volume 2014
Decision SciencesAdvances in
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Volume 2014 Hindawi Publishing Corporationhttp://www.hindawi.com Volume 2014
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