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Page 1: Existence and uniqueness of solutions for a coupled system of multi-term nonlinear fractional differential equations

Computers and Mathematics with Applications 64 (2012) 3310–3320

Contents lists available at SciVerse ScienceDirect

Computers and Mathematics with Applications

journal homepage: www.elsevier.com/locate/camwa

Existence and uniqueness of solutions for a coupled system ofmulti-term nonlinear fractional differential equations✩

Shurong Sun a,b,∗, Qiuping Li a, Yanan Li aa School of Mathematics, University of Jinan, Jinan, Shandong 250022, PR Chinab Department of Mathematics and Statistics, Missouri University of Science and Technology, Rolla, MO 65409-0020, USA

a r t i c l e i n f o

Keywords:Fractional differential equationInitial value problemExistenceUniquenessSchauder fixed point theoremBanach contraction principle

a b s t r a c t

In this paper, we consider an initial value problem for a coupled system of multi-termnonlinear fractional differential equations

Dαu(t) = f (t, v(t),Dβ1v(t), . . . ,DβN v(t)), Dα−iu(0) = 0, i = 1, 2, . . . , n1,

Dσ v(t) = g(t, u(t),Dρ1u(t), . . . ,DρN u(t)), Dσ−jv(0) = 0, j = 1, 2, . . . , n2,

where t ∈ (0, 1], α > β1 > β2 > · · · βN > 0, σ > ρ1 > ρ2 > · · · ρN > 0,n1 = [α] + 1, n2 = [σ ] + 1 for α, σ ∈ N and n1 = α, n2 = σ for α, σ ∈ N,βq, ρq < 1 for any q ∈ {1, 2, . . . ,N}, D is the standard Riemann–Liouville differentiationand f , g : [0, 1] × RN+1

→ R are given functions. By means of Schauder fixed pointtheorem and Banach contraction principle, an existence result and a unique result for thesolution are obtained, respectively. As an application, some examples are presented toillustrate the main results.

© 2012 Elsevier Ltd. All rights reserved.

1. Introduction

In this paper, we consider an initial value problem for a coupled system of multi-term nonlinear fractional differentialequations

Dαu(t) = f (t, v(t),Dβ1v(t), . . . ,DβN v(t)), Dα−iu(0) = 0, i = 1, 2, . . . , n1, (1.1)

Dσ v(t) = g(t, u(t),Dρ1u(t), . . . ,DρN u(t)), Dσ−jv(0) = 0, j = 1, 2, . . . , n2, (1.2)

where t ∈ (0, 1], α > β1 > β2 > · · · βN > 0, σ > ρ1 > ρ2 > · · · ρN > 0, n1 = [α] + 1, n2 = [σ ] + 1 for α, σ ∈ N andn1 = α, n2 = σ for α, σ ∈ N, βq, ρq < 1 for any q ∈ {1, 2, . . . ,N},D is the standard Riemann–Liouville differentiation andf , g : [0, 1] × RN+1

→ R are given functions.Fractional calculus is a generalization of ordinary differentiation and integration to arbitrary noninteger order. The

fractional differential equations play an important role in various fields of science and engineering. With the help offractional calculus, we can describe the natural phenomena and mathematical model more accurately. Therefore, thefractional differential equations have received much attention and the theory and application have been greatly developed;

✩ This research is supported by the Natural Science Foundation of China (11071143), and supported by Natural Science Outstanding Youth Foundation ofShandong Province (JQ201119) and the Natural Science Foundation of Shandong (ZR2009AL003,Y2008A28), also supported by University of Jinan ResearchFunds for Doctors (XBS0843).∗ Corresponding author at: School of Mathematics, University of Jinan, Jinan, Shandong 250022, PR China.

E-mail addresses: [email protected] (S. Sun), [email protected] (Q. Li), [email protected] (Y. Li).

0898-1221/$ – see front matter© 2012 Elsevier Ltd. All rights reserved.doi:10.1016/j.camwa.2012.01.065

Page 2: Existence and uniqueness of solutions for a coupled system of multi-term nonlinear fractional differential equations

S. Sun et al. / Computers and Mathematics with Applications 64 (2012) 3310–3320 3311

see [1–3]. As is known to all, the initial and boundary value problems for nonlinear fractional differential equations arisefrom the study of models of control, porous media, electrochemistry, viscoelasticity, electromagnetic, etc.

Recently, the existence and uniqueness of solutions of the initial and boundary value problems for nonlinear fractionalequations are extensively studied (see [4–34]), and some are coupled systems of nonlinear fractional differential equations;see [13–15,18]. But there are few works that deal with the coupled system of multi-term nonlinear fractional differentialequations; see [14,15,18]. Besides, it is worth mentioning that [15,18] are concerned with the study of the boundary valueproblem.

Bai and Fang in [13] considered the singular coupled system of nonlinear fractional differential equationsDsu = f (t, v), 0 < t < 1,Dpv = g(t, u), 0 < t < 1, (1.3)

where 0 < s < 1, 0 < p < 1,Ds,Dp are two standard Riemann–Liouville fractional derivatives, f , g : (0, 1] × [0, +∞) →

[0, +∞) are two given continuous functions, and limt→0+ f (t, ·) = limt→0+ g(t, ·) = +∞ (that is, f and g are singular att = 0). By using nonlinear alternative of Leray and Schauder theorem and Krasnoselskii’s fixed point theorem in a cone,some results of existence of positive solutions for a coupled system (1.3) are obtained.

Ahmad and Alsaedi in [14] studied an initial value problem for a coupled system of fractional differential equationscDρu(t) = f (t, cDβv(t)), u(k)(0) = ηk, 0 < t < 1,cDσ v(t) = g(t, cDσu(t)), v(k)(0) = ξk, 0 < t < 1,

(1.4)

where f , g : [0, 1] × R → R are given functions, cD denotes the Caputo fractional derivative, ρ, σ ∈ (m − 1,m), α, β ∈

(n − 1, n),m, n ∈ N, ρ > β, σ > α, k = 0, 1, 2, . . . ,m − 1, ρ, σ , β, α ∈ N, and ηk, ξk are suitable real constants. Theyestablished some existence and uniqueness results for the coupled system (1.4) by means of a Nonlinear Alternative of theLeray and Schauder theorem.

Motivated by the recent work on coupled systems of fractional differential equations, we consider the existence ofsolutions of fractional differential equations involving Riemann–Liouville differential operators of arbitrary order, which isdifferent from [14]. By means of the Schauder fixed point theorem and Banach contraction principle, we study the existenceand uniqueness of solutions of coupled system (1.1)–(1.2) and establish some new existence and uniqueness results. Thepaper is organized as follows. In Section 2, we give some definitions and lemmas that will be useful for our main results. InSection 3, we give the main results of the existence and uniqueness of solutions of (1.1)–(1.2). In Section 4, some examplesare presented to illustrate the main results.

2. Preliminaries

In this section,weneed the following basic definitions and lemmas thatwill be useful for ourmain results. Thesematerialscan be found in the recent literature; see [1,18].

Definition 2.1 ([1]). The fractional integral of order α > 0 of a function f : (0, +∞) → R is given by

Iα f (t) =1

Γ (α)

t

0(t − s)α−1f (s)ds,

provided the right side is pointwise defined on (0, +∞).

Definition 2.2 ([1]). The fractional derivative of order α > 0 of a continuous function f : (0, +∞) → R is given by

Dα f (t) =1

Γ (n − α)

ddt

n t

0(t − s)n−α−1f (s)ds,

where n = [α] + 1 and [α] denotes the integral part of number α, provided that the right side is pointwise defined on(0, +∞).

Lemma 2.1 ([1]). The initial value problemDαa y(x) = f (x), α > 0, x ∈ [a, b],

Dα−ka y(a) = bk, k = 1, 2, . . . , n, (2.1)

where n = [α] + 1 for α ∈ N and α = n for α ∈ N,Dα is the standard Riemann–Liouville differentiation. Then IVP (2.1) has thefollowing integral representation of solution

y(x) =

nj=1

bjΓ (α − j + 1)

(x − a)α−j+

1Γ (α)

x

a

f (t)(x − t)1−α

dt.

Page 3: Existence and uniqueness of solutions for a coupled system of multi-term nonlinear fractional differential equations

3312 S. Sun et al. / Computers and Mathematics with Applications 64 (2012) 3310–3320

Lemma 2.2 ([18]). Riemann–Liouville factional integral and derivative have the following properties:

(1) Iα Iβ f (t) = Iα+β f (t),Dα Iα f (t) = f (t), α > 0, β > 0, f ∈ L(0, 1);(2) IαDα f (t) = f (t), 0 < α < 1, f ∈ C[0, 1] and Dα f (t) ∈ C(0, 1) ∩ L(0, 1);(3) Iα : C[0, 1] → C[0, 1], α > 0.

3. Main results

In this section, we establish existence and uniqueness criteria of solutions for the coupled system (1.1)–(1.2). Beforestating and proving the main results, we introduce the following notations and lemma.

Let I = [0, 1] and C(I) be the space of all continuous functions defined on I .We define the space X = {u(t) | u(t) ∈ C(I),Dρju(t) ∈ C(I), j = 1, 2, . . . ,N} endowed with the norm

∥u∥X = ∥u∥ +

Nj=1

∥Dρju∥ = maxt∈I

|u(t)| +

Nj=1

maxt∈I

|Dρju(t)|.

Lemma 3.1. (X, ∥ · ∥X ) is a Banach space.

Proof. Let {un(t)}∞n=1 be a Cauchy sequence in the space (X, ∥ · ∥X ). Clearly, {un(t)}∞n=1 and {Dρjun(t)}∞n=1, j = 1, 2, . . . ,Nare Cauchy sequences in the space C(I). Therefore, {un(t)}∞n=1 and {Dρjun(t)}∞n=1, j = 1, 2, . . . ,N converge to some v andwj( j = 1, 2, . . . ,N) on I uniformly and v, wj ∈ C(I). In the following, we need to prove that wj = Dρjv.

From the definition of fractional integral, we have

|IρjDρjun(t) − Iρjwj(t)| ≤1

Γ (ρj)

t

0(t − s)ρj−1

|Dρjun(s) − wj(s)|ds

≤1

Γ (ρj + 1)maxt∈I

|Dρjun(t) − wj(t)|.

By the convergence of {Dρjun(t)}∞n=1, we have limn→∞ IρjDρjun(t) = Iρjwj(t), for any j ∈ {1, 2, . . . ,N} uniformly for t ∈ I .On the other hand, IρjDρjun(t) = un(t), t ∈ I , ρj < 1 for any j ∈ {1, 2, . . . ,N}. Hence, we have v(t) = Iρjwj(t) for any

j ∈ {1, 2, . . . ,N}. In the further way, we get Dρjv(t) = Dρj Iρjwj(t) = wj(t) for any j ∈ {1, 2, . . . ,N}. This completes theproof. �

For further purposes we will consider the Banach space Y = {v(t)|v(t) ∈ C(I), Dβjv(t) ∈ C(I), j = 1, 2, . . . ,N}

endowed with the norm

∥v∥Y = ∥v∥ +

Nj=1

∥Dβjv∥ = maxt∈I

|v(t)| +

Nj=1

maxt∈I

|Dβjv(t)|.

For (u, v) ∈ X × Y , let ∥(u, v)∥X×Y = max{∥u∥X , ∥v∥Y }. Clearly, (X × Y , ∥ · ∥X×Y ) is a Banach space.Consider the following coupled system of integral equations.

u(t) =1

Γ (α)

t

0(t − s)α−1f (s, v(s),Dβ1v(s), . . . ,DβN v(s))ds, (3.1)

v(t) =1

Γ (σ )

t

0(t − s)σ−1g(s, u(s),Dρ1u(s), . . . ,DρN u(s))ds. (3.2)

Lemma 3.2. Suppose that two functions f , g : I × RN+1→ R are continuous. Then (u, v) ∈ X × Y is a solution of (1.1)–(1.2) if

and only if (u, v) ∈ X × Y is a solution of coupled system of integral equations (3.1)–(3.2).

Proof. Let (u, v) ∈ X ×Y be a solution of (1.1)–(1.2). Then from Lemma 2.1, we can obtain that (1.1) is equivalent to integralequation

u(t) =1

Γ (α)

t

0(t − s)α−1f (s, v(s),Dβ1v(s), . . . ,DβN v(s))ds,

and (1.2) is equivalent to integral equation

v(t) =1

Γ (σ )

t

0(t − s)σ−1g(s, u(s),Dρ1u(s), . . . ,DρN u(s))ds.

Therefore, we can obtain that (u, v) is a solution of coupled system (3.1)–(3.2).

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S. Sun et al. / Computers and Mathematics with Applications 64 (2012) 3310–3320 3313

Conversely, let (u, v) ∈ X × Y be a solution of system (3.1)–(3.2). We denote the right-hand side of Eq. (3.1) by m(t),that is

m(t) =1

Γ (α)

t

0(t − s)α−1f (s, v(s),Dβ1v(s), . . . ,DβN v(s))ds.

Using Lemma 2.2, we have

Dαm(t) = Dα Iα f (t, v(t),Dβ1v(t), . . . ,DβN v(t))= f (t, v(t),Dβ1v(t), . . . ,DβN v(t)),

namely Dαu(t) = f (t, v(t),Dβ1v(t), . . . ,DβN v(t)). And we can easily verify that Dα−ku(0) = 0, k = 1, 2, . . . , n, wheren = [α] + 1 for α ∈ N and α = n for α ∈ N.

By the same method, we can obtain that

Dσ v(t) = g(t, u(t),Dρ1u(t), . . . ,DρN u(t)), Dσ−kv(0) = 0, k = 1, 2, . . . , n.

Therefore, (u, v) is a solution of (1.1)–(1.2). The proof is completed. �

Let T : X × Y → X × Y be the operator defined as

T (u, v)(t) =

1

Γ (α)

t

0(t − s)α−1f (s, v(s),Dβ1v(s), . . . ,DβN v(s))ds,

1Γ (σ )

t

0(t − s)σ−1g(s, u(s),Dρ1u(s), . . . ,DρN u(s))ds

= (T1v(t), T2u(t)).

Then from Lemma 3.2, the fixed point of operator T coincides with the solution of coupled system (1.1)–(1.2).Now, we give the main results of this work. For the convenience, let us define for the following discussions

A =1

Γ (α + 1)+

Nj=1

1Γ (α − βj + 1)

, B =1

Γ (σ + 1)+

Nj=1

1Γ (σ − ρj + 1)

.

Theorem 3.1. Let f , g : I × RN+1→ R be continuous functions. Suppose that one of the following conditions is satisfied.

(H1) There exist two nonnegative functions a(t), b(t) ∈ L[0, 1] such that

|f (t, x0, x1, . . . , xN)| ≤ a(t) + c0|x0|γ0 + c1|x1|γ1 + · · · + cN |xN |γN ,

and

|g(t, x0, x1, . . . , xN)| ≤ b(t) + d0|x0|θ0 + d1|x1|θ1 + · · · + dN |xN |θN ,

where ci, di ≥ 0, 0 < γi, θi < 1 for i = 0, 1, 2, . . . ,N.(H2) The functions f and g satisfy

|f (t, x0, x1, . . . , xN)| ≤ c0|x0|γ0 + c1|x1|γ1 + · · · + cN |xN |γN ,

and

|g(t, x0, x1, . . . , xN)| ≤ d0|x0|θ0 + d1|x1|θ1 + · · · + dN |xN |θN ,

where ci, di > 0, and γi, θi > 1 for i = 0, 1, 2, . . . ,N.

Then coupled system (1.1)–(1.2) has a solution.

Proof. We will use Schauder fixed point theorem to prove this result.First, let condition (H1) be valid. Define

U = {(u(t), v(t)) | (u(t), v(t)) ∈ X, ∥(u, v)∥X×Y ≤ R, t ∈ I},

where

R ≥ max

(N + 2)Ac0

11−γ0

,(N + 2)Ac1

11−γ1

, . . . ,(N + 2)AcN

11−γN

, (N + 2)k,

(N + 2)Bd0

11−θ0

,(N + 2)Bd1

11−θ1

, . . . ,(N + 2)BdN

11−θN

, (N + 2)l

Page 5: Existence and uniqueness of solutions for a coupled system of multi-term nonlinear fractional differential equations

3314 S. Sun et al. / Computers and Mathematics with Applications 64 (2012) 3310–3320

and

k = maxt∈I

1

Γ (α)

t

0(t − s)α−1

|a(s)|ds +

Nj=1

1Γ (α − ρj)

t

0(t − s)α−βj−1

|a(s)|ds

,

l = maxt∈I

1

Γ (σ )

t

0(t − s)σ−1

|b(s)|ds +

Nj=1

1Γ (σ − βj)

t

0(t − s)σ−ρj−1

|b(s)|ds

.

Obviously, U is the ball in the Banach space X × Y .Next we will prove that T : U → U . For any (u, v) ∈ U , we get

|T1v(t)| =

1Γ (α)

t

0(t − s)α−1f (s, v(s),Dβ1v(s), . . . ,DβN v(s))ds

1Γ (α)

t

0(t − s)α−1

|a(s)|ds +

c0Rγ0 + c1Rγ1 + · · · + cNRγN

1Γ (α)

t

0(t − s)α−1ds

≤1

Γ (α)

t

0(t − s)α−1

|a(s)|ds +

c0Rγ0 + c1Rγ1 + · · · + cNRγN

1Γ (α + 1)

,

|DρjT1v(t)| = |Dρj Iα f (t, v(t),Dβ1v(t), . . . ,DβN v(t))|= |Iα−ρj f (t, v(t),Dβ1v(t), . . . ,DβN v(t))|

=

1Γ (α − ρj)

t

0(t − s)α−ρj−1f (s, v(s),Dβ1v(s), . . . ,DβN v(s))ds

1Γ (α − ρj)

t

0(t − s)α−ρj−1

|a(s)|ds + (c0Rγ0 + c1Rγ1 + · · · + cNRγN )1

Γ (α − ρj + 1).

Hence,

∥T1v∥X = maxt∈I

|T1v(t)| +

Nj=1

maxt∈I

|DρjT1v(t)|

≤ k + (c0Rγ0 + c1Rγ1 + · · · + cNRγN )

1

Γ (α + 1)+

Nj=1

1Γ (α − ρj + 1)

= k + (c0Rγ0 + c1Rγ1 + · · · + cNRγN )A

≤R

N + 2× (N + 2) = R.

Similarly, we can obtain that

∥T2u∥Y ≤ l + (d0Rθ0 + d1Rθ1 + · · · + dNRθN )

1

Γ (σ + 1)+

Nj=1

1Γ (σ − βj + 1)

= l + (d0Rθ0 + d1Rθ1 + · · · + dNRθN )B

≤R

N + 2× (N + 2) = R.

That is, we obtain that ∥T1v∥X ≤ R, ∥T2u∥Y ≤ R. Notice that T1v(t), T2u(t),DρjT1v(t),DβjT2u(t), j = 1, 2, . . . ,N arecontinuous on I . Thus, we prove T : U → U .

Now, let condition (H2) be satisfied. Choose

0 < R ≤ min

1

(N + 1)Ac0

1γ0−1

,

1

(N + 1)Ac1

1γ1−1

, . . . ,

1

(N + 1)AcN

1γN−1

,1

(N + 1)Bd0

1θ0−1

,

1

(N + 1)Bd1

1θ1−1

, . . . ,

1

(N + 1)BdN

1θN−1

.

Repeating arguments similar to that above we can obtain that

∥T1v∥X ≤ (c0Rγ0 + c1Rγ1 + · · · + cNRγN )A ≤R

N + 1× (N + 1) = R,

∥T2u∥Y ≤ (d0Rθ0 + d1Rθ1 + · · · + dNRθN )B ≤R

N + 1× (N + 1) = R.

Therefore, we have T : U → U .

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S. Sun et al. / Computers and Mathematics with Applications 64 (2012) 3310–3320 3315

Next, we will prove that the operator T is completely continuous.In view of the continuity of f , g , it is easy to see that the operator T is continuous.In what follows, we will show that T is an equicontinuous operator first. For this we take

K = maxt∈I

|f (t, v(t),Dβ1v(t), . . . ,DβN v(t))|,

L = maxt∈I

|g(t, u(t),Dρ1u(t), . . . ,DρN u(t))|,

for any (u, v) ∈ U . Let t1, t2 ∈ I and t1 < t2. Then we have

|T1v(t2) − T1v(t1)| =

1Γ (α)

t2

0(t2 − s)α−1f (s, v(s),Dβ1v(s), . . . ,DβN v(s))ds

−1

Γ (α)

t1

0(t1 − s)α−1f (s, v(s),Dβ1v(s), . . . ,DβN v(s))ds

=

1Γ (α)

t1

0[(t2 − s)α−1

− (t1 − s)α−1]f (s, v(s),Dβ1v(s), . . . ,DβN v(s))ds

+1

Γ (α)

t2

t1(t2 − s)α−1f (s, v(s),Dβ1v(s), . . . ,DβN v(s))ds

KΓ (α)

t1

0[(t2 − s)α−1

− (t1 − s)α−1]ds+ t2

t1(t2 − s)α−1ds

=

KΓ (α + 1)

[|tα2 − tα1 − (t2 − t1)α| + (t2 − t1)α],

|DρjT1v(t2) − DρjT1v(t1)| =

1Γ (α − ρj)

t2

0(t2 − s)α−ρj−1f (s, v(s),Dβ1v(s), . . . ,DβN v(s))ds

−1

Γ (α − ρj)

t1

0(t1 − s)α−ρj−1f (s, v(s),Dβ1v(s), . . . ,DβN v(s))ds

KΓ (α − ρj)

t1

0[(t2 − s)α−ρj−1

− (t1 − s)α−ρj−1]ds+ t2

t1(t2 − s)α−ρj−1ds

=

KΓ (α − ρj + 1)

[|tα−ρj2 − t

α−ρj1 − (t2 − t1)α−ρj | + (t2 − t1)α−ρj ],

for any j = 1, 2, . . . ,N .Similarly, we get

|T2u(t2) − T2u(t1)| ≤L

Γ (σ + 1)[|tσ2 − tσ1 − (t2 − t1)σ | + (t2 − t1)σ ],

|DβjT2u(t2) − DβjT2u(t1)| ≤L

Γ (σ − βj + 1)[|t

σ−βj2 − t

σ−βj1 − (t2 − t1)σ−βj | + (t2 − t1)σ−βj ],

for any j = 1, 2, . . . ,N .Now using the fact that the functions tα2 , tα1 , (t2 − t1)α, t

α−ρj2 , t

α−ρj1 , (t2 − t1)α−ρj , tσ2 , tσ1 , (t2 − t1)σ , t

σ−βj2 , t

σ−βj1 , (t2 −

t1)σ−βj are uniformly continuous on I , so we can obtained that TU is an equicontinuous set. Clearly, it is uniformly boundedsince TU ⊆ U . Hence T is completely continuous. Therefore, the Schauder fixed point theorem implies that coupled system(1.1)–(1.2) has a solution in U . And we complete the proof. �

Corollary 3.1. Assume that function f , g is bounded and continuous on I × RN+1. Then there exists a solution for coupledsystem (1.1)–(1.2).

Proof. Since f , g are bounded and continuous on I × RN+1, we can find two constants M > 0 and P > 0 satisfied |f | < Mand |g| < P . Let a(t) = M, b(t) = P, ci = di = 0(i = 0, 1, 2, . . . ,N) in condition (H1) of Theorem 3.1. Hence, we canobtain that coupled system (1.1)–(1.2) has a solution from Theorem 3.1. And the proof is completed. �

In the following, we will give the uniqueness of solutions for coupled system (1.1)–(1.2). The uniqueness result is basedon applications of the Banach contraction principle.

Theorem 3.2. Let f , g : I × RN+1→ R be continuous functions. Suppose that the following conditions are satisfied.

(H3) There exist nonnegative functions η0(t), η1(t), . . . , ηN(t) ∈ L[0, 1] and p0(t), p1(t), . . . , pN(t) ∈ L[0, 1] such that

|f (t, x0, x1, . . . , xN) − f (t, y0, y1, . . . , yN)| ≤ η0(t)|x0 − y0| + η1(t)|x1 − y1| + · · · + ηN(t)|xN − yN |,

|g(t, x0, x1, . . . , xN) − g(t, y0, y1, . . . , yN)| ≤ p0(t)|x0 − y0| + p1(t)|x1 − y1| + · · · + pN(t)|xN − yN |,

where t ∈ [0, 1] and the functions f , g satisfy f (0, 0, . . . , 0) = 0 and g(0, 0, . . . , 0) = 0.

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3316 S. Sun et al. / Computers and Mathematics with Applications 64 (2012) 3310–3320

(H4) Assume that ξ = max{B0, B1, . . . , BN ,H0,H1, . . . ,HN} < 1, where

Bi = maxt∈I

1Γ (α)

t

0(t − s)α−1ηi(s)ds +

Nj=1

1Γ (α − ρj)

t

0(t − s)α−ρj−1ηi(s)ds

, i = 0, 1, 2, . . . ,N,

Hi = maxt∈I

1Γ (σ )

t

0(t − s)σ−1pi(s)ds +

Nj=1

1Γ (σ − βj)

t

0(t − s)σ−βj−1pi(s)ds

, i = 0, 1, 2, . . . ,N.

Then coupled system (1.1)–(1.2) has a unique solution.Proof. For any (u, v) ∈ X × Y , we have

|T1v(t)| =

1Γ (α)

t

0(t − s)α−1f (s, v(s),Dβ1v(s), . . . ,DβN v(s))ds

1Γ (α)

t

0|(t − s)α−1f (s, v(s),Dβ1v(s), . . . ,DβN v(s)) − 0|ds

≤1

Γ (α)

t

0(t − s)α−1η0(s)ds∥v∥ +

1Γ (α)

t

0(t − s)α−1η1(s)ds∥Dβ1v∥

+ · · · +1

Γ (α)

t

0(t − s)α−1ηN(s)ds∥DβN v∥,

|DρjT1v(t)| =

1Γ (α − ρj)

t

0(t − s)α−ρj−1f (s, v(s),Dβ1v(s), . . . ,DβN v(s))ds

1Γ (α − ρj)

t

0(t − s)α−ρj−1η0(s)ds∥v∥ +

1Γ (α − ρj)

t

0(t − s)α−ρj−1η1(s)ds∥Dβ1v∥

+ · · · +1

Γ (α − ρj)

t

0(t − s)α−ρj−1ηN(s)ds∥DβN v∥, j = 1, 2, . . . ,N.

Hence

∥T1v∥X = ∥T1v∥ +

Ni=1

∥DρiT1v∥

1

Γ (α)

t

0(t − s)α−1η0(s)ds +

Nj=1

1Γ (α − ρj)

t

0(t − s)α−ρj−1η0(s)ds

∥v∥

+

1

Γ (α)

t

0(t − s)α−1η1(s)ds +

Nj=1

1Γ (α − ρj)

t

0(t − s)α−ρj−1η1(s)ds

∥Dρ1v∥

+ · · · +

1

Γ (α)

t

0(t − s)α−1ηN(s)ds +

Nj=1

1Γ (α − ρj)

t

0(t − s)α−ρj−1ηN(s)ds

∥DρN v∥

≤ ξ

∥v∥ +

Ni=1

∥Dρiv∥

= ξ∥v∥Y .

Similarly, we can obtain that

∥T2u∥Y = ∥T2u∥ +

Ni=1

∥DβiT2u∥

1

Γ (σ )

t

0(t − s)σ−1p0(s)ds +

Nj=1

1Γ (σ − βj)

t

0(t − s)σ−βj−1p0(s)ds

∥u∥

+

1

Γ (σ )

t

0(t − s)σ−1p1(s)ds +

Nj=1

1Γ (σ − βj)

t

0(t − s)σ−βj−1p1(s)ds

∥Dβ1u∥

+ · · · +

1

Γ (σ )

t

0(t − s)σ−1pN(s)ds +

Nj=1

1Γ (σ − βj)

t

0(t − s)σ−βj−1pN(s)ds

∥DβN u∥

≤ ξ

∥u∥ +

Ni=1

∥Dβiu∥

= ξ∥u∥X .

That is, ∥T (u, v)∥X×Y ≤ ξ∥(u, v)∥X×Y . Hence T : X × Y → X × Y .

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S. Sun et al. / Computers and Mathematics with Applications 64 (2012) 3310–3320 3317

Let (u1, v1), (u2, v2) ∈ X × Y . Then we have

|T1v2(t) − T1v1(t)| =

1Γ (α)

t

0(t − s)α−1f (s, v2(s),Dβ1v2(s), . . . ,DβN v2(s))ds

−1

Γ (α)

t

0(t − s)α−1f (s, v1(s),Dβ1v1(s), . . . ,DβN v1(s))ds

1Γ (α)

t

0(t − s)α−1

γ0(s)|v2(s) − v1(s)| + γ1(s)|Dβ1v2(s) − Dβ1v1(s)|

+ · · · + γN(s)|DβN v2(s) − DβN v1(s)|ds

≤1

Γ (α)

t

0(t − s)α−1γ0(s)ds∥v2 − v1∥ +

1Γ (α)

t

0(t − s)α−1γ1(s)ds

× ∥Dβ1v2 − Dβ1v1∥ + · · · +1

Γ (α)

t

0(t − s)α−1γN(s)ds∥DβN v2 − DβN v1∥,

|DρjT1v2(t) − DρjT1v1(t)| =

1Γ (α − ρj)

t

0(t − s)α−ρj−1f (s, v2(s),Dβ1v2(s), . . . ,DβN v2(s))ds

−1

Γ (α − ρj)

t

0(t − s)α−ρj−1f (s, v1(s),Dβ1v1(s), . . . ,DβN v1(s))ds

1Γ (α − ρj)

t

0(t − s)α−ρj−1

γ0(s)|v2(s) − v1(s)| + γ1(s)

× |Dβ1v2(s) − Dβ1v1(s)| + · · · + γN(s)|DβN v2(s) − DβN v1(s)|ds

≤1

Γ (α − ρj)

t

0(t − s)α−ρj−1γ0(s)ds∥v2 − v1∥ +

1Γ (α − ρj)

×

t

0(t − s)α−ρj−1γ1(s)ds∥Dβ1v2 − Dβ1v1∥

+ · · · +1

Γ (α − ρj)

t

0(t − s)α−ρj−1γN(s)ds∥DβN v2 − DβN v1∥.

So we get

∥T1v2 − T1v1∥X = ∥T1v2 − T1v1∥ +

Ni=1

∥DρiT1v2 − DρiT1v1∥

1

Γ (α)

t

0(t − s)α−1γ0(s)ds +

Nj=1

1Γ (α − ρj)

t

0(t − s)α−ρj−1γ0(s)ds

∥v2 − v1∥

+

Ni=1

1

Γ (α)

t

0(t − s)α−1γi(s)ds +

Nj=1

1Γ (α − ρj)

t

0(t − s)α−ρj−1γi(s)ds

× ∥Dρiv2 − Dρiv1∥

≤ ξ(∥v2 − v1∥ + ∥Dβ1v2 − Dβ1v1∥ + · · · + ∥DβN v2 − DβN v1∥) = ξ∥v2 − v1∥Y .

Similarly, we can arrive at

|T2u2(t) − T2u1(t)| ≤1

Γ (σ )

t

0(t − s)σ−1p0(s)ds∥u2 − u1∥ +

1Γ (σ )

t

0(t − s)σ−1p1(s)ds

× ∥Dρ1u2 − Dρ1u1∥ + · · · +1

Γ (σ )

t

0(t − s)σ−1p0(s)ds∥DρN u2 − DρN u1∥,

|DβjT2u2(t) − DβjT2u1(t)| ≤1

Γ (σ − βj)

t

0(t − s)σ−βj−1p0(s)ds∥u2 − u1∥ +

1Γ (α − βj)

×

t

0(t − s)σ−βj−1p1(s)ds∥Dρ1u2 − Dρ1u1∥

+ · · · +1

Γ (σ − βj)

t

0(t − s)σ−βj−1p0(s)ds∥DρN u2 − DρN u1∥,

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3318 S. Sun et al. / Computers and Mathematics with Applications 64 (2012) 3310–3320

and

∥T2u2 − T2u1∥Y = ∥T2u2 − T2u1∥ +

Ni=1

∥DβiT2u2 − DβiT2u1∥

≤ ξ(∥u2 − u1∥ + ∥Dρ1u2 − Dρ1u1∥ + · · · + ∥DρN u2 − DρN u1∥)

= ξ∥u2 − u1∥X .

Hence, for the Euclidean distance d on R2, we get

d(T (u2, v2), (u1, v1)) =

(T1v2 − T1v1)2 + (T2u2 − T2u1)2

=

∥T1v2 − T1v1∥

2X + ∥T2u2 − T2u1∥

2Y

(ξ∥v2 − v1∥Y )2 + (ξ∥u2 − u1∥X )2

≤ ξ

∥v2 − v1∥

2Y + ∥u2 − u1∥

2X

= ξd((u2, v2), (u1, v1)).

That is, T is a contraction since ξ < 1.By the Banach contraction principle, T has a unique fixed point, which is a solution of coupled system (1.1)–(1.2). And

the proof is completed. �

4. Examples

In this section, we will present examples to illustrate the main results.

Example 4.1. Consider the coupled system of fractional differential equationsD3.5u(t) = t2 + 3t(v(t))0.8 +

t −

12

2

(D0.5v(t))0.3, D3.5−iu(0) = 0, i = 1, 2, 3, 4,

D4.2v(t) = 5t + 8t2(u(t))0.6 +

t −

13

2

(D0.3u(t))0.8, D4.2−jv(0) = 0, j = 1, 2, 3, 4, 5,(4.1)

where t ∈ (0, 1].Let

f (t, v(t),D0.5v(t)) = t2 + 3t(v(t))0.8 +

t −

12

2

(D0.5v(t))0.3,

g(t, u(t),D0.3u(t)) = 5t + 8t2(u(t))0.6 +

t −

13

2

(D0.3u(t))0.8.

Then we have

f (t, v(t),D0.5v(t)) ≤ t2 + 3(v(t))0.8 +14(D0.5v(t))0.3,

g(t, u(t),D0.3u(t)) ≤ 5t + 8(u(t))0.6 +49(D0.3u(t))0.8.

Thus (H1) holds. Hence, by Theorem 3.1, the coupled system (4.1) has a solution.

Example 4.2. Consider the coupled system of fractional differential equationsD4.2u(t) = 5t2(v(t))2.4 + 3

t −

13

2

(D0.2v(t))3.8, D4.2−iu(0) = 0, i = 1, 2, 3, 4, 5,

D3.8v(t) = 8t3(u(t))3.2 + 2t −

12

3

(D0.8u(t))2.5, D3.8−jv(0) = 0, j = 1, 2, 3, 4,(4.2)

where t ∈ (0, 1].Let

f (t, v(t),D0.2v(t)) = 5t2(v(t))2.4 + 3t −

13

2

(D0.2v(t))3.8,

g(t, u(t),D0.8u(t)) = 8t3(u(t))3.2 + 2t −

12

3

(D0.8u(t))2.5.

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S. Sun et al. / Computers and Mathematics with Applications 64 (2012) 3310–3320 3319

Then we have

f (t, v(t),D0.2v(t)) ≤ 5(v(t))2.4 +43(D0.2v(t))3.8,

g(t, u(t),D0.8u(t)) ≤ 8(u(t))3.2 +14(D0.8u(t))2.5.

Thus (H2) holds. Hence, by Theorem 3.1, the coupled system (4.2) has a solution.

Example 4.3. Consider the coupled system of fractional differential equationsD3.5u(t) = 2t3v(t) + 5(t − 0.5)2D0.5v(t) + 6(t − 0.2)D0.4v(t), D3.5−iu(0) = 0, i = 1, 2, 3, 4,D4.6v(t) = 5tu(t) + 3(t − 0.2)3D0.7u(t) + 8(t − 0.6)2D0.3u(t), D4.6−jv(0) = 0, j = 1, 2, 3, 4, 5,

(4.3)

where t ∈ (0, 1].Let

f (t, v(t),D0.5v(t),D0.4v(t)) = 2t3v(t) + 5(t − 0.5)2D0.5v(t) + 6(t − 0.2)D0.4v(t),g(t, u(t),D0.7u(t),D0.3u(t)) = 5tu(t) + 3(t − 0.2)3D0.7u(t) + 8(t − 0.6)2D0.3u(t).

Then we get

|f (t, v2(t),D0.5v2(t),D0.4v2(t)) − f (t, v1(t),D0.5v1(t),D0.4v1(t))|≤ 2t3|v2(t) − v1(t)| + 5(t − 0.5)2|D0.5v2(t) − D0.5v1(t)| + 6(t − 0.2)|D0.4v2(t) − D0.4v1(t)|

and

|g(t, u2(t),D0.7u2(t),D0.3u2(t)) − g(t, u1(t),D0.7u1(t),D0.3u1(t))≤ 5t|u2(t) − u1(t)| + 3(t − 0.2)3|D0.7u2(t) − D0.7u1(t)| + 8(t − 0.6)2|D0.3u2(t) − D0.3u1(t)|.

Choose η0(t) = 2t3, η1(t) = 5(t − 0.5)2, η2(t) = 6(t − 0.2), p0(t) = 5t, p1(t) = 3(t − 0.2)3, p2(t) = 8(t − 0.6)2, β1 =

0.5, β2 = 0.4, ρ1 = 0.7, ρ2 = 0.3. Then we have

B0 = maxt∈I

1Γ (3.5)

t

0(t − s)2.52s3ds +

2j=1

1Γ (3.5 − ρj)

t

0(t − s)3.5−ρj−12s3ds

≤ 0.0420,

B1 = maxt∈I

1Γ (3.5)

t

0(t − s)2.55(s − 0.5)2ds +

2j=1

1Γ (3.5 − ρj)

t

0(t − s)3.5−ρj−15(s − 0.5)2ds

≤ 0.2162,

B2 = maxt∈I

1Γ (3.5)

t

0(t − s)2.56(s − 0.2)ds +

2j=1

1Γ (3.5 − ρj)

t

0(t − s)3.5−ρj−16(s − 0.2)ds

≤ 0.0295,

H0 = maxt∈I

1Γ (4.6)

t

0(t − s)3.65sds +

2j=1

1Γ (4.6 − βj)

t

0(t − s)4.6−βj−15sds

≤ 0.0791,

H1 = maxt∈I

1Γ (4.6)

t

0(t − s)3.63(s − 0.2)3ds +

2j=1

1Γ (4.6 − βj)

t

0(t − s)4.6−βj−13(s − 0.2)3ds

≤ 8.9678 × 104,

H2 = maxt∈I

1Γ (4.6)

t

0(t − s)3.68(s − 0.6)2ds +

2j=1

1Γ (4.6 − βj)

t

0(t − s)4.6−βj−18(s − 0.6)2ds

≤ 0.1271.

So, ξ = max{B0, B1, B2,H0,H1,H2} = 0.2162 < 1. Thus, by Theorem 3.2, we have the coupled system (4.3) has a uniquesolution.

5. Conclusion

In this paper, we studied the coupled system of nonlinear multi-term fractional differential equations aboutRiemann–Liouville differentiation. By using the Schauder fixed point theorem and Banach contraction principle, two resultsfor the existence and uniqueness of solutions of problem (1.1)–(1.2) are obtained. In Section 4, we also give some examplesto illustrate our main results.

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3320 S. Sun et al. / Computers and Mathematics with Applications 64 (2012) 3310–3320

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