Electronic Journal of Differential Equations, Vol. 2015 (2015), No. 286, pp. 1–12. ISSN: 1072-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu ftp ejde.math.txstate.edu SOLUTION OF FRACTIONAL DIFFERENTIAL EQUATIONS VIA COUPLED FIXED POINT HOJJAT AFSHARI, SABILEH KALANTARI, ERDAL KARAPINAR Abstract. In this article, we investigate the existence and uniqueness of a solution for the fractional differential equation by introducing some new coupled fixed point theorems for the class of mixed monotone operators with perturbations in the context of partially ordered complete metric space. 1. Introduction and preliminaries In the previous decade, one of the most attractive research subject is to investigate the existence and uniqueness of a fixed point of certain operator in the setting of complete metric space endowed with a partial order (see e.g. [1]-[24] and related reference therein). Recently, CB. Zhai [20] proved some results on a class of mixed monotone operators with perturbations. The aim of this article is to propose a method for the existence and uniqueness of a solution of certain fractional differential equations by following the paper by Zhai [20]. For this purpose, we shall consider some coupled fixed point theorems for a class of mixed monotone operators with perturbations on ordered Banach spaces with the different conditions that was introduced by Zhai [20]. On the other hand, our result are finer than the results of Zhai [20] since we obtain the existence and uniqueness of coupled fixed points without assuming continuity of compactness of the operator. For the sake of completeness of the paper, we present here some basic definitions, notations and known results. Suppose (E, k · k) is a Banach space which is partially ordered by a cone P ⊆ E, that is, x ≤ y if and only if y − x ∈ P . If x 6= y, then we denote x < y or x > y. We denote the zero element of E by θ. Recall that a non-empty closed convex set P ⊂ E is a cone if it satisfies (i) x ∈ P, λ ≥ 0 =⇒ λx ∈ P ; (ii) x ∈ P, −x ∈ P =⇒ x = θ. A cone P is called normal if there exists a constant N > 0 such that θ ≤ x ≤ y implies kxk ≤ N kyk. Also we define the order interval [x1 , x2 ] = {x ∈ E|x1 ≤ x ≤ x2 } for all x1 , x2 ∈ E. We say that and operator A : E → E is increasing whenever x ≤ y implies Ax ≤ Ay. For all x, y ∈ E, the notation x ∼ y means that there exist λ > 0 and µ > 0, such that λx ≤ y ≤ µx. Clearly, ∼ is an equivalent relation. Given 2010 Mathematics Subject Classification. 47H10, 54H25. Key words and phrases. Fixed point; mixed monotone operator; normal cone; sub-homogeneous operator. c 2015 Texas State University. Submitted June 25, 2015. Published November 16, 2015. 1 2 H. AFSHARI, S. KALANTARI, E. KARAPINAR EJDE-2015/286 e > θ, we denote by Pe the set Pe = {x ∈ E|x ∼ e}. It is easy to see that Pe ⊂ P is convex and λPe = Pe for all λ > 0. If P = 6 φ and e ∈ P , it is clear that Pe = P . Definition 1.1 ([8, 9]). A : P × P → P is said to be a mixed monotone operator if A(x, y) is increasing in x and decreasing in y, i.e., ui , vi (i = 1, 2) ∈ P , u1 ≤ u2 , v1 ≥ v2 imply A(u1 , v1 ) ≤ A(u2 , v2 ). The element x ∈ P is called a fixed point of A if A(x, x) = x. The following conditions were was assumed in [21]: (A1) there exists h ∈ P with h 6= θ such that A(h, h) ∈ Ph , (A2) for any u, v ∈ P and t ∈ (0, 1), there exists ϕ(t) ∈ (t, 1] such that A(tu, t−1 v) ≥ ϕ(t)A(u, v). (1.1) Lemma 1.2 ([21]). Assume that (A1), (A2) hold. Then A : Ph × Ph → Ph ; and there exist u0 , v0 ∈ Ph and r ∈ (0, 1) such that rv0 ≤ u0 < v0 , u0 ≤ A(u0 , v0 ) ≤ A(v0 , u0 ) ≤ v0 . Definition 1.3 ([20]). An operator A : P → P is said to be sub-homogeneous if it satisfies A(tx) ≥ tA(x), ∀t ∈ (0, 1), x ∈ P. The following result can be found in Zhai and Zhang [21]. Theorem 1.4 ([21]). Let P be a normal cone in E. Assume that T : P × P → P is a mixed monotone operator and satisfies: (A3) there exists h ∈ P with h 6= θ such that T (h, h) ∈ Ph ; (A4) for any u, v ∈ P and t ∈ (0, 1), there exists ϕ(t) ∈ (t, 1] such that T (tu, t−1 v) ≥ ϕ(t)T (u, v). (1.2) Then (1) T : Ph × Ph → Ph ; (2) there exist u0 , v0 ∈ Ph and r ∈ (0, 1) such that rv0 ≤ u0 < v0 , u0 ≤ T (u0 , v0 ) ≤ T (v0 , u0 ) ≤ v0 ; (3) T has a unique fixed point x∗ in Ph ; (4) for any initial values x0 , y0 ∈ Ph , constructing successively the sequences xn = T (xn−1 , yn−1 ), ∗ yn = T (yn−1 , xn−1 ), n = 1, 2 . . . , ∗ we have xn → x and yn → x as n → ∞. 2. Main result In this section, we state and prove our main results. First, we consider the mixed monotone operator A : P × P → P . The following conditions will be assumed: (A5) there exists h ∈ P with h 6= θ such that A(h, h) ∈ Ph , (A6) for any u, v ∈ P and s, t ∈ (0, 1) such that s ≤ t, there exists ϕ(t) ∈ (t2 , 1] and ϕ is decreasing such that ϕ(t) A(u, v). (2.1) A(tu, t−1 v) + A(tu, s−1 v) ≥ 2 t Lemma 2.1. Assume (A5), (A6) hold. Then A : Ph × Ph → Ph ; and there exist u0 , v0 ∈ Ph and r ∈ (0, 1) such that rv0 ≤ u0 < v0 , u0 ≤ A(u0 , v0 ) ≤ A(v0 , u0 ) ≤ v0 . EJDE-2015/286 SOLUTION OF FRACTIONAL DIFFERENTIAL EQUATIONS Proof. For s ≤ t from condition (A6) we obtain 1 t A(t−1 x, ty) ≤ ϕ(t) (A(x, y) + A(x, y)), ∀s, t ∈ (0, 1), x, y ∈ P. s 2 t 3 (2.2) For any u, v ∈ Ph , there exist µ1 , µ2 ∈ (0, 1), such that 1 1 µ1 h ≤ u ≤ h, µ2 h ≤ v ≤ h. µ1 µ2 Let µ = min{µ2 , µ1 }. Then µ ∈ (0, 1). From (2.2) and the mixed monotone properties of operator A and regarding 0 < µ, there exists 0 < µ0 < µ such that 1 1 A(u, v) ≤ A( h, µ2 h) ≤ A( h, µh) µ1 µ 1 µ ≤ ϕ(µ) (A(h, h) + A(h, 0 h)) µ 2( ) µ ≤ = 1 2( ϕ(µ) µ ) 1 ( ϕ(µ) µ ) (A(h, h) + A(h, h)) (A(h, h)) ≤ 1 A(h, h). ϕ(µ) Regarding the inequality A(u, v) ≥ A(µ1 h, 1 1 h) ≥ A(µh, h), µ2 µ we derive that 1 1 h) + A(µh, h) µ µ ϕ(µ) ≥ 2( )(A(h, h) + A(h, h)) µ ϕ(µ) = 2( )(A(h, h)) ≥ 2ϕ(µ)A(h, h). µ 2A(u, v) ≥ A(µh, Tehrefore, we obtain A(u, v) ≥ ϕ(µ)A(h, h). It follows from A(h, h) ∈ Ph that A(u, v) ∈ Ph . Hence we have A : Ph × Ph → Ph . Since A(h, h) ∈ Ph , we can choose a sufficiently small number t0 ∈ (0, 1) such that 1 t0 h ≤ A(h, h) ≤ h. (2.3) t0 For k > 2 we have 1 tk0 h ≤ A(h, h) ≤ k h . (2.4) t0 Put u0 = t0 k h and v0 = t1k h. Evidently, u0 , v0 ∈ Ph and u0 = t0 2k v0 < v0 . Take 0 any r ∈ (0, t0 2k ], then r ∈ (0, 1) and u0 ≥ rv0 . By the mixed monotone properties of A, we have A(u0 , v0 ) ≤ A(v0 , u0 ). Because t0 ∈ (0, 1), then there exists s0 ∈ (0, 1) such that 0 < s0 ≤ t0 . Further, combining condition (A2) with (2.3), and since s0 ≤ t0 we have 1 A(u0 , v0 ) = A(tk0 h, k h) t0 4 H. AFSHARI, S. KALANTARI, E. KARAPINAR EJDE-2015/286 ϕ(tk0 ) )A(h, h) − A(h, h) tk0 ϕ(t0 ) ≥ (2( 2 ) − 1)A(h, h) > A(h, h) t0 ≥ 2( ≥ tk0 h = u0 , and A(v0 , u0 ) = A( 1 h, tk0 h) tk0 1 ≤ ϕ(tk ) 2( tk0 ) 0 1 ≤ ϕ(tk ) 2( tk0 ) 0 (A(h, h) + A(h, tk0 h)) sk0 2A(h, h) ≤ A(h, h) ≤ 1 h = v0 . tk0 Consequently, we have u0 ≤ A(u0 , v0 ) ≤ A(v0 , u0 ) ≤ v0 . Corollary 2.2. If in (2.1) put s = t then we obtain (1.2). Consequently the Lemma 2.1 yields the Lemma 1.2. Theorem 2.3. Suppose that P is a normal cone of E, and (A5), (A6) hold. Then operator A has a unique fixed point x∗ in Ph . Moreover, for any initial x0 , y0 ∈ Ph , constructing successively the sequences xn = A(xn−1 , yn−1 ), ∗ yn = A(yn−1 , xn−1 ) n = 1, 2, . . . , ∗ we have kxn − x k → 0,kyn − x k → 0 as n → ∞. Proof. From Lemma 2.1, there exist u0 , v0 ∈ Ph and r ∈ (0, 1) such that rv0 ≤ u0 < v0 , u0 ≤ A(u0 , v0 ) ≤ A(v0 , u0 ) ≤ v0 . Construct recursively the sequences un = A(un−1 , vn−1 ), vn = A(vn−1 , un−1 ), n = 1, 2, . . . . Evidently u1 ≤ v1 . By the mixed monotone properties of A, we obtain un ≤ vn , n = 1, 2, . . . . It also follows from Lemma 2.1 and the mixed monotone properties of A that u0 ≤ u1 ≤ . . . ≤ un ≤ . . . ≤ vn ≤ . . . ≤ v1 ≤ v0 . (2.5) Note that u0 ≥ rv0 . We can get un ≥ u0 ≥ rv0 ≥ rvn , n = 1, 2, . . . . Let tn = sup{t > 0|un ≥ tvn }, sn = sup{s > 0|un ≥ svn }, sn ≤ tn n = 1, 2, . . . . Thus we have un ≥ tn vn , un ≥ sn vn , n = 1, 2, . . ., then un ≥ tn vn ≥ sn vn , also un+1 ≥ un ≥ tn vn ≥ tn vn+1 ≥ sn vn+1 , n = 1, 2, . . .. Therefore, tn+1 ≥ tn , i.e., tn is increasing with tn ⊂ (0, 1]. Suppose tn → t∗ as n → ∞, then t∗ = 1. Otherwise, 0 < t∗ < 1. Then from condition (A2) and tn ≤ t∗ , we have A(un , vn ) ≥ A(tn vn , t1n un ) and A(un , vn ) ≥ A(tn vn , s1n un ), so un+1 = A(un , vn ) EJDE-2015/286 SOLUTION OF FRACTIONAL DIFFERENTIAL EQUATIONS 5 1 1 1 (A(tn vn , un ) + A(tn vn , un )) 2 tn sn ϕ(tn ) ϕ(t∗ ) ≥ A(vn , un ) ≥ A(vn , un ) tn tn ϕ(t∗ ) = vn+1 . tn ≥ ∗ ) ∗2 By the definition of tn , tn+1 ≥ ϕ(t ≥ ϕ(t∗ ) > t∗ 2 , tn . Let n → ∞, we obtain t which is a contradiction. Thus, limn→∞ tn = 1. For any natural number p we have θ ≤ un+p − un ≤ vn − un ≤ vn − tn vn = (1 − tn )vn ≤ (1 − tn )v0 , θ ≤ vn − vn+p ≤ vn − un ≤ (1 − tn )v0 . Since the cone P is normal, we have kun+p − un k ≤ M (1 − tn )kv0 k → 0, kvn − vn+p k ≤ M (1 − tn )kv0 k → 0, as n → ∞, where M is the normality constant of P . So we can claim that un and vn are Cauchy sequences. Since E is complete, there exist u∗ , v ∗ such that un → u∗ , vn → v ∗ , as n → ∞. By (2.5), we know that un ≤ u∗ ≤ v ∗ ≤ vn with u∗ , v ∗ ∈ Ph and θ ≤ v ∗ − u∗ ≤ vn − un ≤ (1 − tn )v0 . Further kv ∗ − u∗ k ≤ M (1 − tn )kv0 k → 0 (n → ∞), and thus u∗ = v ∗ . Let x∗ := u∗ = v ∗ and then we obtain un+1 = A(un , vn ) ≤ A(x∗ , x∗ ) ≤ A(vn , un ) = vn+1 . Let n → ∞, then we obtain x∗ = A(x∗ , x∗ ). That is, x∗ is a fixed point of A in Ph . Next we shall prove that x∗ is the unique fixed point of A in Ph . In fact, suppose x̄ is a fixed point of A in Ph . Since x∗ , x̄ ∈ Ph , there exists positive numbers µ̄1 , µ̄2 , λ̄1 , λ̄2 > 0 such that µ̄1 h ≤ x∗ ≤ λ̄1 , µ̄2 h ≤ x̄ ≤ λ̄2 h. λ̄2 ∗ λ̄2 µ̄1 h ≤ x , µ̄1 µ̄1 x̄ ≥ µ̄2 h = Then we obtain x̄ ≤ λ̄2 h = µ̄2 µ̄2 ∗ x . λ̄1 h ≥ λ̄1 λ̄1 Let e1 = sup{t > 0|tx∗ ≤ x̄ ≤ t−1 x∗ }. Evidently, 0 < e1 ≤ 1, e1 x∗ ≤ x̄ ≤ Next we prove e1 = 1. If 0 < e1 < 1, then x̄ = A(x̄, x̄) ≥ A(e1 x∗ , e11 x∗ ), then 2A(x̄, x̄) ≥ 2A(e1 x∗ , ≥ 2( 1 ∗ e1 x . 1 1 1 ∗ x ) = A(e1 x∗ , x∗ ) + A(e1 x∗ , x∗ ) e1 e1 e1 ϕ(e1 ) )A(x∗ , x∗ ). e1 So we have ϕ(e1 ) ϕ(e1 ) )A(x∗ , x∗ ) ≥ A(x∗ , x∗ ) ≥ ϕ(e1 )A(x∗ , x∗ ). e1 e1 Since ϕ(e1 ) > e1 , this contradicts the definition of e1 . Hence e1 = 1, and we obtain x̄ = x∗ . Therefore, A has a unique fixed point x∗ in Ph . Note that [u0 , v0 ] ⊂ Ph , then we know that x∗ is the unique fixed point of A in [u0 , v0 ]. A(x̄, x̄) ≥ ( 6 H. AFSHARI, S. KALANTARI, E. KARAPINAR EJDE-2015/286 Now we construct the sequences recursively as follows: xn = A(xn−1 , yn−1 ), yn = A(yn−1 , xn−1 ), n = 1, 2, . . . , for any initial points x0 , y0 ∈ Ph . Since x0 , y0 ∈ Ph we can choose small numbers e2 , e3 ∈ (0, 1) such that e2 h ≤ x0 ≤ 1 h, e2 e3 h ≤ y0 ≤ 1 h. e3 Let e∗ = min{e2 , e3 }. Then e∗ ∈ (0, 1) and 1 h. e∗ We can choose a sufficiently large positive integer m such that ϕ(e∗ ) m 1 ≥ ∗. ∗ e e Put ū0 = e∗ m h, v̄0 = e∗1m h, it easy to see that ū0 , v̄0 ∈ Ph and ū0 < x0 , y0 < v̄0 . Let ūn = A(ūn−1 , v̄n−1 ), v̄n = A(v̄n−1 , ūn−1 ), n = 1, 2, . . . . e∗ h ≤ x0 , y0 ≤ Analogously, it follows that there exists y ∗ ∈ Ph such that A(y ∗ , y ∗ ) = y ∗ and limn→∞ ūn = limn→∞ v̄n = y ∗ . By the uniqueness of fixed point of operator A in Ph . We get x∗ = y ∗ and by induction ūn ≤ xn , yn ≤ v̄n , n = 1, 2, . . .. Since cone P is normal we have limn→∞ xn = limn→∞ yn = x∗ . Theorem 2.4. Let α ∈ (0, 1), A : P × P → P be a mixed monotone operator satisfying A(tx, t−1 y) + A(tx, s−1 y) ≥ 2t2α−1 A(x, y), s, t ∈ (0, 1), s ≤ t x, y ∈ P. (2.6) Suppose that B : P → P is an in increasing sub-homogeneous operator. Assume also that (i) there is h0 ∈ Ph such that A(h0 , h0 ) ∈ Ph and Bh0 ∈ Ph ; (ii) there exists a constant δ0 > 0 such that A(x, y) ≥ δ0 Bx for all x, y ∈ P . Then (1) A : Ph × Ph → Ph , B : Ph → Ph ; (2) there exist u0 , v0 ∈ Ph and r ∈ (0, 1) such that rv0 ≤ u0 < v0 , u0 ≤ A(u0 , v0 ) + Bu0 ≤ A(v0 , u0 ) + Bv0 ≤ v0 ; (3) the operator A(x, x) + Bx = x has a unique solution x∗ in Ph ; (4) for any initial values x0 , y0 ∈ Ph , constructing successively the sequences xn = A(xn−1 , yn−1 ) + Bxn−1 , ∗ yn = A(yn−1 , xn−1 ) + Byn−1 , n = 1, 2, . . . , ∗ we have xn → x and yn → x as n → ∞. Proof. Notice that from (2.6) and Definition 1.3, we have 1 1 t A( x, ty) ≤ 2α−1 (A(x, y) + A(x, y)), (2.7) t 2t s and B( 1t x) ≤ 1t Bx for s, t ∈ (0, 1), x, y ∈ P and s ≤ t. Since A(h0 , h0 ), Bh0 ∈ Ph , there exist constants λ1 , λ2 , ν1 , ν2 > 0 such that λ1 h ≤ A(h0 , h0 ) ≤ λ2 h, ν1 h ≤ Bh0 ≤ ν2 h . EJDE-2015/286 SOLUTION OF FRACTIONAL DIFFERENTIAL EQUATIONS 7 Also from h0 ∈ Ph , there exists a constant t0 ∈ (0, 1) such that t0 h ≤ h0 ≤ t10 h, and let s0 ∈ (0, 1) such that s0 ≤ t0 , then we have 1 1 s0 h ≤ t0 h ≤ h0 ≤ h ≤ h. t0 s0 From s0 ≤ t0 , (2.6), (2.7) and the mixed monotone properties of operator A, we have 1 1 A(h, h) ≥ A(t0 h0 , h0 ), A(h, h) ≥ A(t0 h0 , h0 ). t0 s0 So we have 2A(h, h) ≥ 2t02α−1 A(h0 , h0 ) . By combining the inequalities above, we have 2α A(h, h) ≥ t2α−1 A(h0 , h0 ) ≥ t2α 0 A(h0 , h0 ) ≥ λ1 t0 h, 0 and t0 1 1 h0 , t0 h0 ) ≤ 2α−1 (A(h0 , h0 ) + A(h0 , h0 )) t0 s 2t0 0 1 λ2 ≤ 2α A(h0 , h0 ) ≤ α h. t0 t0 A(h, h) ≤ A( Noting that tλ2α2 , λ1 t20 α > 0, we can get A(h, h) ∈ Ph . By Definition 1.3 and the 0 monotone property of operator B, we have 1 1 ν2 Bh ≤ B( h0 ) ≤ Bh0 ≤ h, Bh ≥ B(t0 h0 ) ≥ t0 Bh0 ≥ ν1 t0 h. t0 t0 t0 Next we show B : Ph → Ph . For any x ∈ Ph , we can choose a sufficiently small number µ ∈ (0, 1) such that 1 µh ≤ x ≤ h. µ Consequently, 1 1 ν2 Bx ≤ B( h) ≤ h, Bx ≥ B(µh) ≥ µt0 ν1 h. µ µ t0 ν2 , µt0 ν1 > 0. Thus Bx ∈ Ph ; that is, B : Ph → Ph . So the Evidently, we have µt 0 conclusion (1) holds. Now we define an operator T = A + B by T (x, y) = A(x, y) + Bx. Then T : P × P → P is a mixed monotone operator and T (h, h) ∈ Ph . In the following we show that there exists ϕ(t) ∈ (t, 1] with respect to s, t ∈ (0, 1), s ≤ t such that ϕ(t) T (tx, t−1 y) + T (tx, s−1 y) ≥ 2( )A(x, y), ∀, x, y ∈ P. t Consider the function t2β−1 − t f (t) = 2α−1 , t − t2β−1 for t ∈ (0, 1), where β ∈ (α, 1). It is easy to prove that f is increasing in (0, 1) and lim f (t) = 0, t→0+ lim f (t) = t→1− 1−β . β−α Further, fixing t ∈ (0, 1), we have lim− f (t) = lim− β→1 β→1 t2β−1 − t = 0. t2α−1 − t2β−1 8 H. AFSHARI, S. KALANTARI, E. KARAPINAR EJDE-2015/286 So there exists β0 (t) ∈ (0, 1) with respect to t such that t2β0 (t)−1 − t ≤ δ0 , t2α−1 − t2β0 (t)−1 t ∈ (0, 1). Hence we have A(x, y) ≥ δ0 Bx ≥ t2β0 (t)−1 − t Bx, − t2β0 (t)−1 t2α−1 ∀t ∈ (0, 1), x, y ∈ P. Then we obtain t2α−1 A(x, y) + tBx ≥ t2β0 (t)−1 [A(x, y) + Bx], ∀t ∈ (0, 1), x, y ∈ P. Consequently, for any t ∈ (0, 1) and x, y ∈ P , T (tx, t−1 y) + T (tx, s−1 y) = A(tx, t−1 y) + B(tx) + A(tx, s−1 y) + B(tx) ≥ 2t2α−1 A(x, y) + 2tBx ≥ 2t2β0 (t)−1 (A(x, y) + Bx) = 2t2β0 (t)−1 T (x, y). Let ϕ(t) = t2β0 (t) , t ∈ (0, 1). Then ϕ(t) ∈ (t2 , 1] and ϕ(t) )A(x, y), t for any s, t ∈ (0, 1) and x, y ∈ P . Hence the condition (A2) in Lemma 2.1 is satisfied. By Lemma 2.1 we conclude that: (a) there exist u0 , v0 ∈ Ph and r ∈ (0, 1) such that rv0 ≤ u0 < v0 , u0 ≤ T (u0 , v0 ) ≤ T (v0 , u0 ) ≤ v0 ; (b) T has a unique fixed point x∗ in Ph ; (c) for any initial values x0 , y0 ∈ Ph , constructing successively the sequences T (tx, t−1 y) + T (tx, s−1 y) ≥ 2( xn = T (xn−1 , yn−1 ), ∗ yn = T (yn−1 , xn−1 ), n = 1, 2, . . . , ∗ we have xn → x and yn → x as n → ∞. That is, conclusions (2)–(4) hold. Corollary 2.5. Let α ∈ (0, 1), A : P × P → P is a mixed monotone operator. Assume (2.6) holds and there is h0 > θ such that A(h0 , h0 ) ∈ Ph . Then (1) A : Ph × Ph → Ph ; (2) there exist u0 , v0 ∈ Ph and r ∈ (0, 1) such that rv0 ≤ u0 < v0 , u0 ≤ A(u0 , v0 ) ≤ A(v0 , u0 ) ≤ v0 ; (3) the operator A(x, x) = x has a unique solution x∗ in Ph ; (4) for any initial values x0 , y0 ∈ Ph , constructing successively the sequences xn = A(xn−1 , yn−1 ), ∗ yn = A(yn−1 , xn−1 ), n = 1, 2, . . . , ∗ we have xn → x and yn → x as n → ∞. 3. Solution to fractional differential equations In this section, we shall propose a method for showing the existence and uniqueness of a solution for the fractional differential equation Dα u(s, t) + f (s, t, u(s, t), v(s, t)) = 0, Dt (3.1) 0 < < T, T ≥ 1, t ∈ [, T ], 0 < α < 1, s ∈ [a, b] subject to the condition u(s, ζ) = u(s, T ), (s, ζ) ∈ [a, b] × (, t), (3.2) EJDE-2015/286 SOLUTION OF FRACTIONAL DIFFERENTIAL EQUATIONS 9 where Dα is the Riemann-Liouville fractional derivative of order α. We will suppose that a, b ∈ (0, ∞), a < b. Let E = C([a, b] × [, T ]). Consider the Banach space of continuous functions on [a, b] × [, T ] with sup norm and set P = {y ∈ C([a, b] × [, T ]) : min y(s, t) ≥ 0}. (s,t)∈[a,b]×[,T ] Then P is a normal cone. Lemma 3.1. Let (s, t) ∈ [a, b] × [, T ], (s, ζ) ∈ [a, b] × (, t) and 0 < α < 1. Then the problem Dα u(s, t) + f (s, t, u(s, t), v(s, t)) = 0 Dt with the boundary value condition u(s, ζ) = u(s, T ) has a solution u0 if and only if u0 is a solution of the fractional integral equation Z T u(s, t) = G(t, ξ)f (s, ξ, u(s, ξ), v(s, t))dξ, where α−1 t (ζ−ξ)α−1 −tα−1 (T −ξ)α−1 − α−1 α−1 α−1(ζ −Tα−1 )Γ(α) α−1 −t −(T −ξ) (t−ξ) G(t, ξ) = (ζ α−1 −T α−1 )Γ(α) − Γ(α) , α−1 α−1 −t (T −ξ) , (ζ α−1 −T α−1 )Γ(α) (t−ξ)α−1 Γ(α) , ≤ ξ ≤ ζ ≤ t ≤ T, ≤ ζ ≤ ξ ≤ t ≤ T, ≤ ζ ≤ t ≤ ξ ≤ T. α Proof. From D Dt u(s, t) + f (s, t, u(s, t), v(s, t)) = 0 and the boundary condition, it is easy to see that u(s, t) − c1 tα−1 = −Iα f (s, t, u(s, t), v(s, t)). By the definition of a fractional integral, we obtain Z ζ (t − ξ)α−1 u(s, t) = c1 tα−1 − f (s, ξ, u(s, ξ), v(s, ξ))dξ, Γ(α) Z ζ (ζ − ξ)α−1 u(s, ζ) = c1 T α−1 − f (s, ξ, u(s, ξ), v(s, ξ))dξ, Γ(α) Z T (t − ξ)α−1 α−1 u(s, T ) = c1 T − f (s, ξ, u(s, ξ), v(s, ξ))dξ. Γ(α) Since u(s, ζ) = u(s, T ), we obtain Z ζ (ζ − ξ)α−1 1 c1 = α−1 f (s, ξ, u(s, ξ), v(s, ξ))dξ α−1 ζ −T Γ(α) Z T 1 (T − ξ)α−1 − α−1 f (s, ξ, u(s, ξ), v(s, ξ))dξ. ζ − T α−1 Γ(α) Hence Z ζ tα−1 (ζ − ξ)α−1 f (s, ξ, u(s, ξ), v(s, ξ))dξ u(s, t) = α−1 α−1 ζ −T Γ(α) Z T tα−1 (T − ξ)α−1 − α−1 f (s, ξ, u(s, ξ), v(s, ξ))dξ α−1 ζ −T Γ(α) Z t (t − ξ)α−1 f (s, ξ, u(s, ξ), v(s, ξ))dξ − Γ(α) 10 H. AFSHARI, S. KALANTARI, E. KARAPINAR Z EJDE-2015/286 T G(t, ξ)f (s, ξ, u(s, ξ), v(s, ξ))dξ. = This completes the proof. Theorem 3.2. Let 0 < < T and let f (s, t, u(s, t), v(s, t)) be function in the space C([a, b], [, T ], [0, ∞], [0, ∞]), that is increasing in u, decreasing in v, with positive values. Also assume that for any u, v ∈ P and c, c0 ∈ (0, 1) with c0 ≤ c, there exists ϕ(c) ∈ (c2 , 1] and ϕ is decreasing such that Z T Z T −1 G(t, ξ)f (s, ξ, cu(s, ξ), c−1 v(s, ξ))dξ + G(t, ξ)f (s, ξ, cu(s, ξ), c0 v(s, ξ))dξ ϕ(c) ≥2 c Z T G(t, ξ)f (s, ξ, u(s, ξ), v(s, ξ))dξ, and f (s, t, u(s, t), v(s, t)) = 0, whenever G(s, t) < 0. Also assume that there exist M1 > 0, M2 > 0 and h 6= θ ∈ P such that Z T M1 h(t) ≤ G(t, ξ)f (s, ξ, u(s, ξ), v(s, ξ))dξ ≤ M2 h(t), for all t ∈ [, T ], where G(t, s) is the green function defined in Lemma 3.1. Then problem (3.1) with the boundary value condition (3.2) has unique solution u∗ . Proof. By using Lemma (3.1), the problem is equivalent to the integral equation Z T u(s, t) = G(t, ξ)f (s, ξ, u(s, ξ), v(s, ξ))dξ, where α−1 t (η−ξ)α−1 −tα−1 (T −ξ)α−1 − α−1 α−1 α−1(η −Tα−1 )Γ(α) α−1 −t −(T −ξ) (t−ξ) G(t, ξ) = (ηα−1 −T α−1 )Γ(α) − Γ(α) −tα−1 (T −ξ)α−1 (η α−1 −T α−1 )Γ(α) (t−ξ)α−1 Γ(α) ≤ξ≤η≤t≤T ≤η≤ξ≤t≤T ≤η≤t≤ξ≤T Define the operator A : P × P → E by Z T A(u(s, t), v(s, t)) = G(t, ξ)f (s, ξ, u(s, ξ), v(s, ξ))dξ. Then u is solution for the problem if and only if u = A(u, u). It is easy to see to check that the operator A is increasing in u and decreasing in v on P . By assumptions of theorem we have; (A7) there exists h ∈ P with h 6= θ such that Z T M1 h(t) ≤ G(t, ξ)f (s, ξ, u(s, ξ), v(s, ξ))dξ ≤ M2 h(t), thus A(h, h) ∈ Ph , (A8) for any u, v ∈ P and c, c0 ∈ (0, 1) such that c0 ≤ c , there exists ϕ(c) ∈ (c2 , 1] and ϕ is decreasing such that ϕ(c) −1 A(cu, c−1 v) + A(cu, c0 v) ≥ 2 A(u, v). c Now by using theorem (2.3), the operator A has a unique fixed point u∗ in Ph . 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Nonlinear Analysis and Applied Mathematics (NAAM) Research Group, King Abdulaziz University, 21589, Jeddah, Saudi Arabia E-mail address: erdalkarapinar@yahoo.com