PORTUGALIAE MATHEMATICA Vol. 61 Fasc. 2 – 2004 Nova Série ON THE EXISTENCE OF MONOTONE SOLUTIONS FOR SECOND-ORDER NON-CONVEX DIFFERENTIAL INCLUSIONS IN INFINITE DIMENSIONAL SPACES A.G. Ibrahim and K.S. Alkulaibi Abstract: This paper is concerned with the existence of monotone solutions in an infinite dimensional Hilbert space for a second order differential inclusion and without the assumption of the convexity. 1 – Introduction The existence of solutions for either first or second order differential inclustions or functional differential inclusions has been studied extensively in recent papers. For instance we refer to [1, 4, 6, 7, 8, 10, 12, 14, 16, 17, 18, 19, 20, 21, 22]. In order to explain our aim let H be an infinite dimensional Hilbert space, Q = K× Ω be a subset of H×H, F be a set-valued function defined on Q and its values are not necessary convex subsets of H. Consider the following differential inclusion: x00 (t) ∈ F (x(t), x0 (t)), (∗) a.e. on [0, T ] , (x(t), x0 (t)) = (x◦ , y◦ ) ∈ Q = K × Ω . By a solution of (∗) we mean an absolutely continuous function x : [0, T ] → K with absolutely continuous derivative such that (∗) is satisfied. A solution x : [0, T ] → K of (∗) is called monotone if there is a set-valued function P defined from K to the family of nonempty subsets of K such that (i) x ∈ P (x) for all x ∈ K, (ii) if y ∈ P (x) then P (y) ⊆ P (x) and (iii) if t ≤ s, t, s ∈ [0, T ] Received : February 24, 2003; Revised : March 30, 2003. 232 A.G. IBRAHIM and K.S. ALKULAIBI then x(s) ∈ P (x(t)). In the particular case H = R (the set of real numbers) and P (x) = [x, ∞) ∩ K the monotoncity of the solution becomes, according to this definition, as follows if t ≤ s then x(t) ≤ x(s). The purpose of this paper is to obtain conditions on the data that guarantee the existence of monotone solution for (∗). We refer to in a recent paper V. Lupulescu [20] proved the existence of a solution wich is not necessary monotone and in the case when dimension H is finite. Also, in the above mentioned papers the monotoncity of the obtained solutions were not researched. The paper will organize as follows: in section 2 we will recall briefly some basic definitions and preliminary facts which will be used throught the sequel. In section 3 we will establish the main result. 2 – Notations and preliminaries In this section we give the notations and known facts that we will use throught the paper. • H is an infinite dimensional seperable real Hilbert space. • If x ∈ H and δ > 0, B(x, δ) = {y ∈ H : ky − xk < δ} is the ball centered at x with radius δ and B(x, δ) its closure. • If A is a subset of H and x ∈ H, d(x, A) = inf{ky − xk : y ∈ A} is the distance from x to A. • If A is a subset of H then |A| = sup{kak : a ∈ A} is the excess of A over {0} and co A is the convex hull of A. • A function u : [0, T ] → H is called Lebesgue–Bochner integrable if t → ku(t)k is Lebesgue integrable and u is strongly measurable, i.e. the a.e. limit of a sequence of step functions. The Banach space of equivalence class of such u will be denoted by L1 ([0, T ], H). It’s known that if R 0 w ∈ L1 ([0, T ], H) then ( 0t w(s) ds) = w(t), a.e. • L2 ([0, T ], H) is the Banach space of all strongly measurable functions R u : [0, T ] → H such that 0T ku(t)k2 dt < ∞. • A function u : [0, T ] → H is absolutely continuous if there is a function R v ∈ L1 ([0, T ], H) such that u(t) = u(0) + 0t v(s) ds, for all t ∈ [0, T ]. 233 ON THE EXISTENCE OF MONOTONE SOLUTIONS... • If X and Y are two topological spaces, a set-valued function G : X → Y is called upper semicontinuous (lower semicontinuous) at x◦ ∈ X if for any open set U of Y containing G(x◦ ) (G(x◦ ) ∩ U 6= ∅), the set {x ∈ X : G(x) ⊆ U } ({x ∈ X : G(x) ∩ U 6= ∅}) is a neighbourhood of x◦ . G is upper semicontinuous (lower semicontinuous) if it’s upper semicontinuous (lower semicontinuous) at each point in X. • If E is a topological vector space, f : E → R and x◦ ∈ E, then x0 ∈ E 0 , the topological dual of E, is said to be a subgradient of f at x◦ if for every x ∈ E, f (x) − f (x◦ ) ≥ hx0 , x − x◦ i . The set of all subgradients of f at x◦ is called subdifferential and is denoted by ∂f (x◦ ). It’s known that if E is a Hausdorff locally convex space, then ∂f (x◦ ) is closed and convex. (See for instance [13]). • If K is a subset of H and x ∈ K, then the Bouligand’s contingent cone of K at x is defined by: TK (x) = ( d(x + hy, K) y ∈ H : lim inf =0 + h h→0 ) . It’s known that if x is an interior point in K, then TK (x) = H and if K is closed and convex then TK (x) = {λ(z − x) : λ ≥ 0, z ∈ K}. (See [3]). • If K is a subset of H, x ∈ K and y ∈ H then the second order contingent cone of K at (x, y) is defined by (see [9]): (2) TK (x, y) = ( z ∈ H : lim inf d(x + hy + h→0+ h2 2 h2 2 z, K) =0 ) . (2) We remark that if TK (x, y) 6= ∅ then y ∈ TK (x). • If B is a bounded set of a normed space E, then the Kuratowski’s measure of S noncompactness of B, α(B), is defined by α(B) = inf{d > 0 : B = m i=1 Bi for some m and Bi with diameter less than or equal to d}. In the following lemma we recall some useful properties for the measure of noncompactness α. For instance see Prop. 9.1 [15]. Lemma 2.1. Let X be an infinite dimensional real Banach space and D1 , D2 be two bounded subsets of X. (i) α(D1 ) = 0 ⇐⇒ D1 is relatively compact . 234 A.G. IBRAHIM and K.S. ALKULAIBI (ii) α(λD1 ) = |λ| α(D1 ); λ ∈ R . (iii) D1 ⊆ D2 =⇒ α(D1 ) ≤ α(D2 ) . (iv) α(D1 + D2 ) ≤ α(D1 ) + α(D2 ) . (v) If x◦ ∈ X and r is a positive real number then α(B(x◦ , r)) = 2 r . For other properties of α we refer to ([5] and [15]), and for more details about set-valued function we refer to ([2], [3], [13], [15], [19]). 3 – Main result In this section we give the main result. First we start by the following Lemma which plays an important role in the sequel. The proof will be based on the same technique that was used in Lemma 3.1 in [20]. Lemma 3.1. Let K, Ω be two nonempty subsets of H, P be a lower semicontinuous set-valued function from K to the non-empty subsets of K and F be a set-valued function defined on Q = K × Ω with non-empty subsets of H. Assume that: (i) For all x ∈ K, x ∈ P (x) ; (2) (ii) For all (x, y) ∈ Q, F (x, y) ∩ TP (x) (x, y) 6= ∅ . If Q◦ is a compact subset of Q and k is a positive integer, then there is ηk > 0 such that for all (x◦ , y◦ ) ∈ Q◦ there exist h◦,k ∈ [ηk , k1 ], u◦,k , v◦,k ∈ H and (xj◦ , yj◦ ) ∈ Q◦ such that: 1. z◦ = x◦ + h◦,k y◦ + 12 h2◦,k u◦,k ∈ P (x◦ ) ; 2. v◦,k ∈ F (xj◦ , yj◦ ) ; 3. d((x◦ , y◦ ), (xj◦ , yj◦ )) < 4. ku◦,k − v◦,k k < 1 k 1 k ; . Proof: Let (x, y) be a fixed element in Q = K × Ω. By (ii) there is v = v(x, y) ∈ F (x, y) such that: lim inf h→0+ ³ d x + hy + h2 2 v, h2 2 P (x) ´ = 0. 235 ON THE EXISTENCE OF MONOTONE SOLUTIONS... Hence there is hk = hk (x, y) ∈ (0, k1 ] such that µ (1) d x + hk y + h2 h2k v, P (x) < k . 2 4k ¶ Since P is lower semicontinuous, Cor. 1.2.1 [3] yields that the function (a, b) → d(b, P (a)) is upper semicontinuous. Consequently, the function (a, b) → d(a + hk b + 21 h2k v, P (a)) is upper semicontinuous from H×H to R. Thus the subset ¾ ¶ ½ µ h2 1 N (x, y) = (a, b) : d a + hk b + h2k v, P (a) < k 2 4k is open. By (1), (x, y) ∈ N (x, y). Then there exists r = r(x, y) ∈ (0, k1 ] such that B((x, y), r) ⊂ N (x, y). Now {B((x, y), r) : (x, y) ∈ Q◦ } is an open cover for Q◦ . Since Q◦ is compact, there exists a finite set {(xi , yi ) ∈ Q◦ : 1 ≤ i ≤ m} such that: Q◦ ⊆ m [ B((xi , yi ), ri ) . i=1 Put ηk = min{hk (xi , yi ) : 1 ≤ i ≤ m}. Since (x◦ , y◦ ) ∈ Q◦ there is j◦ ∈ {1, 2, ..., m} such that: (x◦ , y◦ ) ∈ B((xj◦ , yj◦ ), rj◦ ) ⊆ N (xj◦ , yj◦ ) , (xj◦ , yj◦ ) ∈ Q◦ . Denote by h◦,k = hk (xj◦ , yj◦ ), v◦,k = v(xj◦ , yj◦ ) ∈ F (xj◦ , yj◦ ). From the definition of the distance we can find z◦ ∈ P (x◦ ) such that: ³ h2 ´ ¶ d x◦ + h◦,k y◦ + ◦,k h2◦,k 1 1 2 v◦,k , P (x◦ ) v , z d x + h y + ≤ + ◦ ◦ ◦ ◦,k ◦,k 2 2 h◦,k h◦,k 2 2k 2 µ h2◦,k /4k 1 < 2 + 2k h◦,k /2 1 1 + = 2k 2k 1 = , k hence: ° ° ° °z − x − h y 1 ◦ ° ° ◦ ◦,k ◦ − v . °< ° ◦,k 2 h◦,k ° ° k 2 2 236 A.G. IBRAHIM and K.S. ALKULAIBI Let u◦,k = z◦ − x◦ − h◦,k y◦ h2◦,k 2 Then ku◦,k − v◦,k k < x◦ + h◦,k y◦ + . 1 , k h2◦,k u◦,k = z◦ ∈ P (x◦ ) , 2 v◦,k ∈ F (xj◦ , yj◦ ) , and ³ ´ d (x◦ , y◦ ), (xj◦ , yj◦ ) < 1 . k Theorem 3.2. Let K be a subset of H, Ω be an open subset of H such that Q = K× Ω be a locally compact subset of H× H, F be an upper semicontinuous set-valued function from Q to the family of non-empty compact subsets of H, and P be a lower semicontinuous set-valued function from K to the family of non-empty subsets of K with closed graph. Assume the following conditions: (H1) (i) For all x ∈ K, x ∈ P (x) , (ii) For all x ∈ K and all y ∈ P (x) we have P (y) ⊆ P (x) . (2) (H2) For all (x, y) ∈ Q, F (x, y) ∩ TP (x) (x, y) 6= ∅ . (H3) There exist a proper convex and lower semicontinuous function V : H → R such that: F (x, y) ⊆ ∂V (y) , ∀(x, y) ∈ Q , where ∂V (y) is the subdifferential of V . Then for all (x◦ , y◦ ) ∈ Q there exists T > 0 and an absolutely continuous function x : [0, T ] → H with absolutely continuous derivative such that: x00 (t) ∈ F (x(t), x0 (t)) x(s) ∈ P (x(t)) a.e. on [0, T ] , for all t ∈ [0, T ] and all s ∈ [t, T ] , x(0) = x◦ , x0 (0) = y◦ . 237 ON THE EXISTENCE OF MONOTONE SOLUTIONS... Proof: Let (x◦ , y◦ ) ∈ Q. Since Q is locally compact, each component K and Ω is locally compact. Because x◦ ∈ K we can find δ1 > 0 such that B(x◦ , δ1 ) ∩ K is compact in H. Also, since y◦ ∈ Ω and Ω is open we can find δ2 > 0 such that B(y◦ , δ2 ) ⊆ Ω is compact in H. Let δ = min(δ1 , δ2 ) and put Q◦ = (B(x◦ , δ)∩K)× (B(y◦ , δ)). So, Q◦ is a compact subset of Q. Since F is upper semicontinuous, F (Q◦ ) is compact subset of H. Then we can find M > 0 such that: n sup kvk : v ∈ F (Q◦ ) Put δ , T = min 2(M + 1) (1) s o ≤ M . δ δ , . M + 1 2(ky◦ k + 1) Let k be a fixed positive integer. We are going to show that there are a positive real number ηk and a positive integer m(k) such that for each r ∈ {0, 1, ..., m(k)−1} there exist hr,k ∈ [ηk , k1 ], (xr,k , yr,k ) ∈ Q◦ , ur,k , vr,k ∈ H and (xjr , yjr ) ∈ Q◦ with the following properties: (i) Pm(k)−1 r=0 hr,k ≤ T < Pm(k) r=0 hr,k . (ii) x◦,k = x◦ , y◦,k = y◦ . (iii) For all r = 0, 1, 2, ..., m(k)−2 we have 1 xr+1,k = xr,k + hr,k yr,k + (hr,k )2 ur,k ∈ P (xr,k ) 2 and (2) yr+1,k = yr,k + hr,k ur,k . (iv) For all r = 0, 1, 2, ..., m(k)−1 we have vr,k ∈ F (xjr , yjr ) , and ³ ´ d (xr,k , yr,k ), (xjr , yjr ) < kur,k − vr,k k < 1 k 1 . k By Lemma 3.1 there exist ηk > 0, h◦,x ∈ [ηk , k1 ], u◦,k , v◦,k ∈ H and (xj◦ , yj◦ ) ∈ Q◦ , such that: 1 x◦ + h◦,k y◦ + (h◦,k )2 u◦,k ∈ P (x◦ ) ⊂ K , 2 v◦,k ∈ F (xj◦ , yj◦ ) , (3) ³ ´ d (x◦ , y◦ ), (xj◦ , yj◦ ) < 1 , k ku◦,k − v◦,k k < 1 . k 238 A.G. IBRAHIM and K.S. ALKULAIBI Define x1,k = x◦ + h◦,k y◦ + and 1 (h◦,k )2 u◦,k 2 y1,k = y◦ + h◦,k u◦,k . Then x1,k ∈ P (x◦ ) and if h◦,k < T we have 1 (h◦,k )2 ku◦,k k 2 ³ 1´ 1 < h◦,k ky◦ k + (h◦,k )2 kv◦,k k + 2 k 1 2 < T ky◦ k + T (M + 1) 2 δ δ = δ, < + 2 2 kx1,k − x◦ k ≤ h◦,k ky◦ k + and ky1,k − y◦ k ≤ h◦,k ku◦,k k 1´ k < T (M + 1) < δ . ³ < h◦,k M + Therefore (x1,k , y1,k ) ∈ Q◦ . Again by Lemma 3.1 there exist h1,k ∈ [ηk , k1 ], u1,k , v1,k ∈ H and (xj1 , yj1 ) ∈ Q◦ such that x1,k + h1,k y1,k + 1 (h1,k )2 u1,k ∈ P (x1,k ) ⊆ K , 2 v1,k ∈ F (xj1 , yj1 ) , (4) ³ ´ d (x1,k , y1,k ), (xj1 , yj1 ) < 1 , k ku1,k − v1,k k < 1 . k If h◦,k + h1,k ≥ T we set m(k) = 1, otherwise we define x2,k = x1,k + h1,k y1,k + and 1 2 h u1,k 2 1,k y2,k = y1,k + h1,k u1,k . By (3) and (4) we obtain x2,k ∈ P (x1,k ) and kx2,k ° ° ° ° 1 2 1 2 ° − x◦ k = °x◦ + h◦,k y◦ + h◦,k u◦,k + h1,k (y◦ + h◦,k u◦,k ) + h1,k u1,k − x◦ ° ° 2 2 ≤ (h◦,k + h1,k ) ky◦ k + 1 1 2 h ku◦,k k + h1,k h◦,k ku◦,k k + h21,k ku1,k k < 2 ◦,k 2 ON THE EXISTENCE OF MONOTONE SOLUTIONS... 239 1 1 2 h◦,k (M + 1) + h1,k h◦,k (M + 1) + h21,k (M + 1) 2 2 1 2 = (h◦,k + h1,k ) ky◦ k + (M + 1) (h◦,k + h1,k ) 2 1 δ δ < T ky◦ k + (M + 1) T 2 < + = δ. 2 2 2 < (h◦,k + h1,k ) ky◦ k + Also, ky2,k − y◦ k ≤ h◦,k ku◦,k k + h1,k ku1,k k < h◦,k (M + 1) + h1,k (M + 1) = (h◦,k + h1,k ) (M + 1) < T (M + 1) < δ . Thus (x2,k , y2,k ) ∈ Q◦ . Invoking to Lemma 3.1, there exist h2,k ∈ [ηk , k1 ], u2,k , v2,k ∈ H and (xj2 , yj2 ) ∈ Q◦ such that z2,k = x2,k + h2,k y2,k + 1 2 h u2,k ∈ P (x2,k ) , 2 2,k v2,k ∈ F (xj2 , yj2 ) , (5) ³ ´ d (x2,k , y2,k ), (xj2 , yj2 ) < 1 , k ku2,k − v2,k k < 1 . k We reiterate this process. Since h◦,k , h1,k , h2,k , ... are in [ηk , k1 ] we are sure that there exists a positive integer m(k) such that for each r ∈ {0, 1, ..., m(k) − 1} there exist hr,k ∈ [ηk , k1 ], (xr,k , yr,k ) ∈ Q◦ , ur,k , vr,k ∈ H and (xjr , yjr ) ∈ Q◦ with properties in (2). Now let us set t◦k = 0 and trk = h◦,k + h1,k + · · · + hr−1,k ; r ∈ {1, 2, ..., m(k)}. We remark that for all r ∈ {1, 2, ..., m(k)} we have trk − tkr−1 < 1 k and m(k)−1 tk m(k) ≤ T < tk . We define a function xk : [0, T ] → H as follows. If t ∈ [tkr−1 , trk ], r ∈ {1, 2, ..., m(k)} we put 1 2 xk (t) = xr−1,k + (t − tkr−1 ) yr−1,k + (t − tkr−1 ) ur−1,k . 2 Then we get (6) xk (tkr−1 ) = xr−1,k ∈ P (xr−2,k ) , (7) xk 0 (t) = yr−1,k + (t − tkr−1 ) ur−1,k , (8) xk 00 (t) = ur−1,k , r ∈ {1, 2, ..., m(k)} , ∀ t ∈ [tkr−1 , trk ], r ∈ {1, 2, ..., m(k)} , ∀ t ∈ [tkr−1 , trk ], r ∈ {1, 2, . . . , m(k)} . 240 A.G. IBRAHIM and K.S. ALKULAIBI Hence by (2), for all t ∈ [0, T ] we obtain 1 1 1 kxk (t)k ≤ kxr−1,k k + kyr−1,k k + kur−1,k k k 2 k2 ≤ kxr−1,k − x◦ k + kx◦ k + kyr−1,k − y◦ k (9) + ky◦ k + kur−1,k − vr−1,k k + kvr−1,k k < 2 δ + kx◦ k + ky◦ k + 1 +M k ≤ 2 δ + kx◦ k + ky◦ k + 1 + M and 1 kur−1,k k k ´ 1³ ≤ ky◦ k + δ + kur−1,k − vr−1,k k + kvr−1,k k k ´ 1³1 < ky◦ k + δ + +M k k ≤ ky◦ k + δ + M + 1 kxk 0 (t)k ≤ kyr−1,k k + (10) and kxk 00 (t)k = kur−1,k k ≤ kur−1,k − vr−1,k k + kvr−1,k k (11) 1 +M k ≤ M +1 . < Moreover, let t be a fixed point in [0, T ]. Then there is r ∈ {1, 2, ..., m(k)} such that t ∈ [tkr−1 , trk ]. We have 1 kxk (t) − xjr−1 k ≤ kxr−1,k − xjr−1 k + kyr−1,k k k ´ 1 1 ³ ku − v k + kv k + r−1,k r−1,k r−1,k 2 k2 ´ 1 1 ³1 ´ 1 1³ < + δ + ky◦ k + + M k k 2 k2 k ³ ´ 1 2 + δ + ky◦ k + M , ≤ k ´ 1³ kxk 0 (t) − yjr−1 k ≤ kyr−1,k − yjr−1 k + kur−1,k − vr−1,k k + kvr−1,k k k ´ 1 1 ³1 < + +M k k k 1 ≤ (M + 2) k 241 ON THE EXISTENCE OF MONOTONE SOLUTIONS... and 1 . k kxk 00 (t) − vr−1,k k = kur−1,k − vr−1,k k < Since vr−1,k ∈ F (xjr−1 , yjr−1 ), then we obtain (12) ³ ³ ´ ´ xk (t), xk 0 (t), xk 00 (t) ∈ graph F + εk B(0, 1) × B(0, 1) × B(0, 1) , where εk → 0 as k → ∞. Since t is arbitrary point in [0, T ], the relation (12) is true for all t ∈ [0, T ]. By (10) and (11) the sequences (xk ) and (xk 0 ) are equicontinuous. In order to apply Ascoli–Arzela theorem we are going to show that for every t ∈ [0, T ] the two sets Z1 (t) = {xk (t) : k ≥ 1} and Z2 (t) = {xk 0 (t) : k ≥ 1} are relatively compact in H. So, for every k ≥ 1 let θk : [0, T ] → [0, T ] defined by θk (0) = 0, θk (t) = trk , t ∈ ]tkr−1 , trk ]. Also let Q◦,1 = {x : (x, y) ∈ Q◦ for some y}, Q◦,2 = {y : (x, y) ∈ Q◦ for some x}. Hence, each of Q◦,1 and Q◦,2 is compact in H. From the definition of (xk ) and (xk 0 ) we have for all k ≥ 1 and all t ∈ [0, T ], xk (θk (t)) ∈ Q◦,1 , xk 0 (θk (t)) ∈ Q◦,2 . Thus for all t ∈ [0, T ] the two sets {xk (θk (t)) : k ≥ 1} and {xk 0 (θk (t)) : k ≥ 1} are relatively compact in H. Now, for all t ∈ [0, T ] n α(Z1 (t)) = α xk (t) : k ≥ 1 n o o = α xk (t) − xk (θk (t)) + xk (θk (t)) : k ≥ 1 . From (iii) and (iv) of Lemma 2.1 we get n α(Z1 (t)) ≤ α xk (t) − xk (θk (t)) : k ≥ 1 o n o + α xk (θk (t)) : k ≥ 1 . Since the set {xk (θk (t)) : k ≥ 1} is relatively compact, α{xk (θk (t)) : k ≥ 1} = 0 (Lemma 2.1 (i)). Then n α(Z1 (t)) ≤ α xk (t) − xk (θk (t)) : k ≥ 1 = α ½Z θk (t) t 0 xk (s) ds : k ≥ 1 ¾ o . By relation (10) we obtain à µ ¶! ´ 1³ α(Z1 (t)) ≤ α B 0, ky◦ k + δ + M + 1 k ³ ´ 2 = ky◦ k + δ + M + 1 . (By Lemma 2.1 (v)) k 242 A.G. IBRAHIM and K.S. ALKULAIBI Since k1 → 0 as k → ∞, α(Z1 (t)) = 0. Hence Z1 (t) is relatively compact. Similarly the set Z2 (t) is relatively compact. By a corollary of Ascoli–Arzela theorem (see Th. 0.3.4 [3]) the sequence (xk ), k ≥ 1 has a subsequence (again denoted by (xk )) and absolutely continuous function x : [0, T ] → H with absolutely continuous derivative x0 such that (xk ) converges uniformly to x on [0, T ], (xk 0 ) converges uniformly to x0 on [0,T ] and (xk 00 ) converges weakly in L2 ([0,T ], H) to x00 . Invoking to the convergence theorem (see Th. 1.4.1 [3]) we get that x00 (t) ∈ co F (x(t), x0 (t)) (13) a.e. on [0, T ] . Note that here the values of F are not necessary convex. Now we use condition (H3) to show that x00 (t) ∈ F (x(t), x0 (t)) a.e. on [0, T ] . Since V is proper convex lower semicontinuous then by Lemma 3.3 in [11], we have d 2 V (x0 (t)) = kx00 (t)k a.e. on [0, T ] . dt Then 0 0 V (x (T )) − V (x (0)) = (14) Z T 2 kx00 (t)k dt . 0 From (2) for every integer k ≥ 1 and every r ∈ {1, 2, ..., m(k)} there exist αr−1,k , βr−1,k , γr−1,k ∈ B(0, k1 ) such that (15) ³ ur−1,k − γr−1,k = vr−1,k ∈ F xr−1,k − αr−1,k , yr−1,k − βr−1,k ⊆ ∂V (yr−1,k − βr−1,k ) . ´ From the definition of the subdifferential ∂V , the last relation gets us V (yr,k − βr,k ) − V (yr−1,k − βr−1,k ) ≥ ≥ = = = D D D ur−1,k − γr−1,k , yr,k − βr,k − (yr−1,k − βr−1,k ) ur−1,k − γr−1,k , yr,k − yr−1,k + βr−1,k − βr,k E E ur−1,k − γr−1,k , xk 0 (trk ) − xk 0 (tkr−1 ) + βr−1,k − βr,k ¿ ur−1,k − γr−1,k , Z trk 00 À D E xk (t) dt + ur−1,k − γr−1,k , βr−1,k − βr,k r−1 tk E = 243 ON THE EXISTENCE OF MONOTONE SOLUTIONS... D = ¿ E D + ur−1,k − γr−1,k , βr−1,k − βr,k (trk = Z ur−1,k , ur−1,k (trk − tkr−1 ) − γr−1,k , − tkr−1 ) kur−1,k k2 ¿ − γr−1,k , D E Z trk tr−1 k trk x00 (t) dt r−1 tk 00 x (t) dt À À E + ur−1,k − γr−1,k , βr−1,k − βr,k . Since D ur−1,k , ur−1,k (trk − tkr−1 ) E = (trk − tkr−1 ) hur−1,k , ur−1,k i = (trk − tkr−1 ) kur−1,k k2 , thus, for all positive integer number k and all r ∈ {1, 2, ..., m(k)−1} we have ³ ´ ³ V x0 (trk ) − βr,k − V x0 (tkr−1 ) − βr−1,k ≥ (16) Z trk ´ ¿ 2 00 tr−1 k ≥ kx (t)k dt − D Z γr−1,k , trk 00 tkr−1 x (t) dt À E + ur−1,k − γr−1,k , βr−1,k − βr,k . m(k)−1 Also, from (2)–(i) we have tk one has, ³ ´ ³ V xk 0 (T ) − V ym(k)−1,k − βm(k)−1,k ≥ = = D D m(k) ≤ T < tk ´ , then from (15) when r = m(k) ≥ um(k)−1,k − γm(k)−1,k , xk 0 (T ) − ym(k)−1,k + βm(k)−1,k m(k)−1 um(k)−1,k − γm(k)−1,k , xk 0 (T ) − xk 0 (tk ¿ Z um(k)−1,k , T 00 m(k)−1 tk xk (t) dt À − E ) + βm(k)−1,k ¿ Z γm(k)−1,k , T 00 m(k)−1 tk E xk (t) dt E D + um(k)−1,k − γm(k)−1,k , βm(k)−1,k . Then ³ ´ ³ m(k)−1 V xk 0 (T ) − V xk 0 (tk (17) ≥ Z T m(k)−1 tk D ) − βm(k)−1,k 00 2 kx (t)k dt − ´ ≥ ¿ γm(k)−1,k , Z T m(k)−1 tk E + um(k)−1,k − γm(k)−1,k , βm(k)−1,k . 00 xk (t) dt À À 244 A.G. IBRAHIM and K.S. ALKULAIBI By adding the m(k)−1 inequalities from (16) and inequality from (17) we get ³ ´ ³ V xk 0 (T ) − V y◦ − β◦,k ³ ´ ´ = ³ m(k)−1 = V xk 0 (T ) − V x0 (tk ³ m(k)−1 + V xk 0 (tk ) − βm(k)−1,k ´ m(k)−2 ) − βm(k)−1,k − V xk 0 (tk + ··· + (18) ³ ´ ³ ) − βm(k)−2,k ´ + V xk 0 (tk 1 ) − β1,k − V (y◦ − β◦,k ) ≥ where Z T 0 2 kxk 00 (t)k dt + ρ(k) , m(k)−1¿ ρ(k) = − + Z trk xk 00 (t) dt r−1 À X γr−1,k , X ur−1,k − γr−1,k , βr−1,k − βr,k r=1 m(k)−1D tk r=1 − ¿ γm(k)−1 , Z T 00 m(k)−1 tk xk (t) dt E À E D + um(k)−1,k − γm(k)−1,k , βm(k)−1,k . We have m(k)−1 |ρ(k)| ≤ X kγr−1,k k r=1 Z trk tkr−1 kxk 00 (t)k dt m(k)−1 + X kur−1,k − γr−1,k k kβr−1,k − βr,k k r=1 + kγm(k)−1 k Z T m(k)−1 tk kxk 00 (t)k dt + kum(k)−1,k − γm(k)−1,k k kβm(k)−1,k k m(k)−1 ≤ X r=1 + m(k)−1 X 1 2 kur−1,k k (trk − tkr−1 ) + kvr−1,k k k k r=1 1 1 m(k)−1 kum(k)−1,k k (T − tk ) + kvr−1,k k k k m(k)−1 ≤ X M +1 r=1 k2 m(k)−1 + X 2M r=1 k + M +1 M + , k2 k ´ 245 ON THE EXISTENCE OF MONOTONE SOLUTIONS... and this yields lim ρ(k) = 0. By (18) we obtain k→∞ 0 lim V (xk (T )) − V (y◦ ) ≥ lim sup k→∞ k→∞ Z T 0 2 kxk 00 (t)k dt . Therefore, by (14) we have (19) Z T 0 2 0 0 kx (t)k dt = V (x (T )) − V (x (0)) ≥ lim sup k→∞ 0 Z T 0 2 kxk 00 (t)k dt . Since (xk 00 ) converges weakly to x00 in L2 ([0, T ], H) then relation (19) implies that (xk 00 ) converges strongly to x00 in L2 ([0, T ], H). Consequently, there is a subsequence of xk 00 , denoted again by (xk 00 ) converges to x00 almost everywhere on [0, T ]. From (12) we obtain, (20) lim d k→∞ µ³ 0 00 ´ xk (t), xk (t), xk (t) , graph F ¶ = 0. By the assumptions on F and by Prop. 1.1.2 [3] the graph of F is closed. Then relation (20) yields that x00 (t) ∈ F (x(t), x0 (t)) a.e. on [0, T ] . It remains to prove that x(t) ∈ P (x(t)), for all t ∈ [0, T ] and if s > t then x(s) ∈ P (x(t)). In order to do this for all k ≥ 1 let δk : [0, T ] → [0, T ] be a function defined by: δk (0) = 0 , δk (t) = tkr−1 for all t ∈ (tkr−1 , trk ] and all r ∈ {1, 2, ..., m(k)}. Since trk − tkr−1 < 1 k we get lim xk (θk (t)) = lim xk (δk (t)) = x(t) k→∞ k→∞ for all t ∈ [0, T ]. Let t ∈ [0, T ] be fixed. For every positive integer k there is r ∈ {1, 2, ..., m(k)} such that t ∈ (tkr−1 , trk ]. We have xk (θk (t)) = xk (trk ) ∈ P (xk (tkr−1 )) . = P (xk (δk (t))) Since the graph of P is closed, we conclude that x(t) ∈ P (x(t)) . Now let t, s ∈ [0, T ] be such that s > t. Then for k large enough we can find q r, q ∈ {1, 2, ..., m(k) − 1} such that r > q, s ∈ [tkr−1 , trk ] and t ∈ [tq−1 k , tk ]. 246 A.G. IBRAHIM and K.S. ALKULAIBI Assume that r = q + j. Clearly 1 ≤ j < m(k). We have xk (tkr−1 ) ∈ P (xk (tkr−2 )) . Since P is transitive, P (xk (tkr−1 )) ⊂ P (xk (tkr−2 )) . Similarly, P (xk (tkr−2 )) ⊂ P (xk (tkr−3 )) . We continue for j steps, hence we get P (xk (tkr−1 )) ⊂ P (xk (tqk )) . But xk (trk ) ∈ P (xk (tkr−1 )) . We obtain xk (trk ) ∈ P (xk (tqk )) . This means that xk (θk (s)) ∈ P (xk (θk (t))) . Since lim θk (t) = t, lim θk (s) = s and the graph of P is closed, we get k→∞ k→∞ x(s) ∈ P (x(t)) . If we consider the particular case when P (x) = K for all x ∈ K we obtain the following Viability Theorem. Theorem 3.3. Let K be a closed subset of H, Ω be an open subset of H such that Q = K × Ω be a locally compact subset of H× H, F be an upper semicontinuous set-valued function from Q to the family of nonempty compact subsets of H. Assume that condition (H3) of Theorem 3.2 and the following condition are satisfied: (2) (H4) For all (x, y) ∈ Q, F (x, y) ∩ TK (x, y) 6= ∅ . Then for all (x◦ , y◦ ) ∈ Q there exists T > 0 and an absolutely continuous function x : [0, T ] → H with absolutely continuous derivative such that: x00 (t) ∈ F (x(t), x0 (t)) (x(t), x0 (t)) ∈ Q , x(0) = 0 , a.e. on [0, T ] , ∀ t ∈ [0, T ] , x0 (0) = y◦ . ON THE EXISTENCE OF MONOTONE SOLUTIONS... 247 Remark. If we suppose that the dimension of H is finite, in Theorem 3.3, we obtain Theorem 2.1 of [20]. ACKNOWLEDGEMENT – The authors would like to thank the referee for his useful remarks. REFERENCES [1] Aghezaaf, B. and Sajid, S. – On the second order contingent set and differential inclusions, Journal of Convex Analysis, 7 (2000), 183–195. [2] Aubain, J.P. and Frankowska, H. – Set-Valued Analysis, Birkäuser, 1990. [3] Aubain, J.P. and Cellina, A. – Differential Inclusions, Springer-Verlag, Berlin, 1984. 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[19] Kisielewicz, M. – Differential Inclusions and Optimal Control, PWN-Polish Publisher, Kluwer Acadimic Publishers, Warsaw, London, 1991. [20] Lupulescu, V. – A viability result for second-order differential inclusions, J. of Diff. Eq. 76 (2002), 1–12. [21] Marco, L. and Murillo, J.A. – Viability theorem for higher-order differential inclusions, Set-Valued Analysis, 6 (1998), 21–37. [22] Tallos, P. – Viability problems for nonautonomous differential inclusions, Siam J. Control Optim., 29 (1991), 253–263. A.G. Ibrahim, Department of Mathematics, Faculty of Science, King Faisal University, P.O. Box 1759, Hofuf, Al-Ahsa 31982 – SAUDI ARABIA E-mail: agamal@kfu.edu.sa and K.S. Alkulaibi, Department of Mathematics, Faculty of Science, King Faisal University, P.O. Box 10714, Hofuf, Al-Ahsa 31982 – SAUDI ARABIA E-mail: kholod salih@yahoo.com