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A fixed point theorem for condensing maps is used to investigate the existence of solutions for a class of first order initial value problems for impulsive differential inclusions

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Vol. LXX, 2(2001), pp. 197–205

EXISTENCE THEOREMS FOR A CLASS OF FIRST ORDER IMPULSIVE DIFFERENTIAL INCLUSIONS

M. BENCHOHRA and S. K. NTOUYAS

Abstract. A fixed point theorem for condensing maps is used to investigate the existence of solutions for a class of first order initial value problems for impulsive differential inclusions.

1. Introduction

The theory of impulsive differential equations appears as a natural description of several real processes subject to certain perturbations whose duration is negligible in comparison with the duration of the process. Differential equations involving im- pulse effects occurs in many applications: physics, population dynamics, ecology, biological systems, biotechnology, industrial robotic, pharmacokinetics, optimal control, etc. The reader can see for instance the book of Bainov and Simeonov [2], Lakshmikantham, Bainov and Simeonov [14], Samoilenko and Perestyuk [19], the thesis of Pierson Gorez [18] and the papers of Frigon and O’Regan [9], Liz and Nieto [16], Vatsala and Sun [22] and Yujun and Erxin [23]. However very few results are available for impulsive differential inclusions or related topics (see for example the paper of Benchohra and Boucherif [3], [4], Erbe and Krawcewicz [7], Frigon and O’Regan [10], Silva and R. B. Vinter [20] and Stewart [21]).

The fundamental tools used in the existence proofs of all above mentioned works are essentially fixed point arguments, Nonlinear alternative of Leray-Schauder type, Degree theory, Topological transversality theorem or the monotone itera- tive technique combined with upper and lower solutions.

In this paper, we shall be concerned with the existence of solutions of the first order initial value problem for the impulsive differential inclusion:

y0 ∈F(t, y), t∈J, t6=tk, k= 1, . . . , m, (1.1)

y(t+k) =Ik(y(tk)), k= 1, . . . , m, (1.2)

y(0) =y0, (1.3)

whereF:J×R−→2Ris a compact convex valued multivalued map defined from a single-valued function,J = [0, T] (0 < T < ∞), y0 ∈ R, 0 = t0 < t1 <· · · <

Received June 19, 2000.

2000Mathematics Subject Classification. Primary 34A37, 34A60.

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tm < tm+1 =T; and Ik ∈C(R,R) (k = 1,2, . . . , m). y(tk) andy(t+k) represent the left and right limits ofy(t) at t=tk, respectively.

The multivalued map considered in this paper has been used by Chang [5], Erbe and Krawcewicz [8], Frigon [11] and Klein-Thompson [13] for the study of differential inclusions of second order.

In this paper we shall extend the above results to the impulsive case. We shall give two existence results to (1.1)-(1.3). In our results we do not assume any type of monotonicity condition on Ik, k= 1, . . . , m, which is usually the situation in the literature.

We use a fixed point approach to establish our existence results. In particular we use a fixed point theorem for condensing maps as used by Martelli ([17]).

2. Preliminaries

In this section, we introduce notations, definitions, and results which are used throughout the paper.

AC(J,R) is the space of all absolutely continuous functionsy:J −→R. Condition

y≤z if and only if y(t)≤z(t) for all t∈J

defines a partial ordering inAC(J,R). Ifα,β ∈AC(J,R) andα≤β, we denote [α, β] ={y∈AC(J,R) :α≤y≤β}.

C(J,R) is the Banach space of continuous functionsy:J −→Rwith the norm kyk= sup{|y(t)|:t∈J} for all y∈C(J,R).

L2(J,R) denotes the Banach space of Lebesgue measurable functionsy:J −→R for whichRT

0 |y(t)|2dt <+∞, with the norm kykL2 =Z T

0

|y(t)|2dt1/2

for all y∈L2(J,R).

FinallyH1(J,R) denotes the Banach space of functionsy:J −→Rwhich are absolutely continuous and whose derivativey0(which exists almost everywhere) is an element ofL2(J,R) with the norm

kykH1 =kykL2+ky0kL2 for ally∈H1(J,R).

In order to define the solution to (1.1)-(1.3) we shall consider the following spaces.

Ω ={y: [0, T]−→R:yis continuous for t6=tk, y(t+k) and y(tk) exist andy(tk) =y(tk), k= 1, . . . , m}.

Evidently, Ω is a Banach space with the norm kyk= sup

tJ

|y(t)|.

1 := Ω∩ ∪mk=0H1(tk, tk+1). For y∈Ω1 we letkyk1 =kykH1. Hence Ω1is a Banach space.

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Definition 2.1. By a solution to (1.1)-(1.3), we mean a function y ∈ Ω10 :=

{y∈Ω1:y(0) =y0} that satisfies the differential inclusion

y0(t)∈F(t, y(t)) almost everywhere onJ\{tk}, k= 1, . . . , m,

and for eachk= 1, . . . , mthe functiony satifies the equationsy(t+k) =Ik(y(tk)).

Let (X,k · k) be a normed space. A multivalued mapG:X −→2X has convex (closed) values ifG(x) is convex (closed) for allx∈X. Gis bounded on bounded sets ifG(B) is bounded inX for any bounded subset B ofX (i.e. sup

xB

{sup{kyk: y∈G(x)}}<∞).

Gis called upper semi-continuous (u.s.c.) onXif for eachx0∈Xthe setG(x0) is a nonempty, closed subset ofX, and if for each open setNofXcontainingG(x0), there exists an open neighbourhoodM ofx0 such thatG(M)⊆N.

Gis said to be completly continuous ifG(B) =∪xBG(x) is relatively compact for every bounded subsetB ⊆X. Ghas a fixed point if there isx∈X such that x∈G(x).

In the followingCC(X) denotes the set of all nonempty compact convex subsets ofX.

An upper semi-continuous mapG:X −→2X is said to be condensing [17] if for any bounded subsetN⊆X, we haveα(G(N))< α(N), withα(N)6= 0, where αdenotes the Kuratowski measure of noncompacteness (see [1], [17]).

We remark that a compact map is the simplest example of a condensing map.

For more details on multivalued functions see the books of Deimling [6] and Hu and Papagerogiou [12].

Definition 2.2. A functionf: J×R−→Ris said to be Carath´eodory if (i) t7−→f(t, y) is measurable for eachy∈R;

(ii) y7−→f(t, y) is continuous for almost allt∈J.

Definition 2.3. A function f:J×R−→Ris said to be of typeMif for each measurable functiony:J −→R, the functiont7−→f(t, y(t)) is measurable.

Notice that a Carath´eodory map is of typeM. Letf:J×R−→Rbe a function. Define

f(t, y) = lim

uyinff(t, u) and f(t, y) = lim

uysupf(t, u).

Notice that for allt∈J, f is lower semi-continuous (l.s.c.) i.e. (for allt∈J, {y ∈ R: f(t, y) > α} is open for each α ∈ R) and f is upper semi-continuous (u.s.c.) i.e. (for allt∈J,{y∈R:f(t, y)< α} is open for eachα∈R).

Letf:J×R−→R. We define the multivalued mapF :J×R−→2Rby F(t, y) = [f(t, y), f(t, y)].

We say thatF is of typeMiff and f are of typeM.

The following result is crucial in the proof of our main results:

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Theorem 2.4([17]). Let G:X −→CC(X)be an u.s.c. and condensing map.

If the set

M :={v∈X :λv∈G(v)for someλ >1} is bounded, thenG has a fixed point.

We need also the following result

Theorem 2.5 ([11] Prop. (VI. 1), p. 40). Assume that F is of type M and for eachk≥0, there existsφk∈L2(J,R)such that

kF(t, y)k= sup{|v|:v∈F(t, y)} ≤φk(t) for |y| ≤k.

Then the operatorF:C(J,R)−→2L2(J,R) defined by

Fy:={h:J−→Rmeasurable: h(t)∈F(t, y(t))a.e.t∈J}

is well defined, u.s.c., bounded on bounded sets inC(J,R)and has convex values.

3. Main Result

We are now in a position to state and prove our first existence result for the impulsive IVP (1.1)-(1.3).

Theorem 3.1. Let t0= 0, tm+1=T, and assume thatF:J ×R−→CC(R) is of typeM. Suppose that the following hypotheses hold:

(H1) there exist{ri}mi=0 and{si}mi=0 withs0≤y0≤r0 and si+1≤ min

[si,ri]Ii+1(y)≤max

[si,ri]Ii+1(y)≤ri+1; (H2)

f(t, ri)≤0, f(t, si)≥0 for t∈[ti, ti+1], i= 1, . . . , m.

(H3) there existsψ: [0,∞)→(0,∞)continuous such that ψ∈L2loc([0,∞))and kF(t, y)k= sup{|v|:v∈F(t, y)} ≤ψ(|y|) for all t∈J.

Then the impulsive initial value problem(1.1)-(1.3) has at least one solution.

Proof. This proof will be given in several steps.

Step 1: We restrict our attention to the problem on [0, t1], that is the initial value problem

y0(t)∈F(t, y(t)), t∈(0, t1), (3.1)

y(0) =y0. (3.2)

Define the modified functionf1: [0, t1]×R−→Rrelative tor0 ands0by:

f1(t, y) =





f(t, r0), ify > r0; f(t, y), ifs0≤y≤r0; f(t, s0), ify < s0

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and the correponding multivalued map F1(t, y) =





[f(t, r0), f(t, r0)], ify > r0; [f(t, y), f(t, y)], ifs0≤y≤r0; [f(t, s0), f(t, s0)], ify < s0 Consider the modified problem:

y0 ∈F1(t, y), t∈[0, t1), (3.3)

y(0) =y0. (3.4)

We transform the problem into a fixed point problem. For this, consider the operatorsL:H1([0, t1],R)−→L2([0, t1],R) defined byL(y) =y0,j:H1([0, t1],R)

−→C([0, t1],R), the completely continuous imbedding, and F:C([0, t1],R)−→2L2([0,t1],R) defined by:

F(y) =n

v: [0, t1]−→Rmeasurable : v(t)∈F1(t, y(t)) for a.e.t∈[0, t1]o . Clearly, L is linear, continuous and invertible. It follows from the open map theorem thatL1is a linear bounded operator. F is by Theorem 2.5 well defined, bounded on bounded subsets ofC([0, t1],R), u.s.c. and has convex values. Thus, the problem (3.3)-(3.4) is equivalent to y ∈ L1Fj(y) := G1(y). Consequently, G1 is compact, u.s.c., and has convex closed values. Therefore,G1is a condensing map.

Now, we show that the set

M1:={y∈C([0, t1],R) :λy∈G1(y) for some λ >1} is bounded.

Letλy∈G1(y) for someλ >1. Theny∈λ1G1(y), where G1(y) :=n

g∈C([0, t1],R) :g(t) =y0+ Z t

0

h(s)ds:h∈ F(y)o . Lety∈λ1G1(y), then there exists h∈ F(y) such that for eacht∈J

y(t) =λ1y01 Z t

0

h(s)ds.

Thus

|y(t)| ≤ |y0|+khkL2 for each t∈[0, t1].

Now, sinceh(t)∈ F1(t, y(t)), it follows from the definition of F1(t, y) and as- sumption (H3) that there exists a positive constanth0 such that khkL2 ≤h0. In fact

h0= max

|r0|,|s0|, sup

s0yr0

|ψ(y)|

. We then have

kyk≤ |y0|+h0<+∞.

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Hence, Theorem 2.4 applies and so G1 has at least one fixed point which is a solution on [0, t1] to problem (3.3)-(3.4).

We shall show that the solutiony of (3.1)-(3.2) satisfies s0≤y(t)≤r0 for all t∈[0, t1].

Lety be a solution to (3.3)-(3.4). We prove that s0≤y(t) for all t∈[0, t1].

Suppose not. Then there existσ1, σ2 ∈ [0, t1], σ1 < σ2 such that y(σ1) =s0 and

s0> y(t) for all t∈(σ1, σ2).

This implies that

f1(t, y(t)) =f(t, s0) for all t∈(σ1, σ2), and

y0(t)∈[f(t, s0), f(t, s0)], then,

y0(t)≥f(t, s0) for allt∈(σ1, σ2).

This implies that

y(t)≥y(t1) + Z t

t1

f(s, s0)dsfor allt∈(σ1, σ2).

Sincef(t, s0)≥0 fort∈[0, t1] we get 0> y(t)−y(σ1)≥

Z t σ1

f(s, s0)ds≥0 for allt∈(σ1, σ2) which is a contradiction. Thuss0≤y(t) fort∈[0, t1].

Similarly, we can show thaty(t)≤r0fort∈[0, t1]. This shows that the problem (3.3)-(3.4) has a solutionyon the interval [0, t1], which we denote byy1. Theny1

is a solution of (3.1)-(3.2).

Step 2: Consider now the problem:

y0∈F2(t, y), t∈(t1, t2), (3.5)

y(t+1) =I1(y1(t1)), (3.6)

where

F2(t, y) =





[f(t, r1), f(t, r1)], ify > r1; [f(t, y), f(t, y)], ifs1≤y≤r1; [f(t, s1), f(t, s1)], ify < s1. Analogously, we can show that set

M2:={y∈C([t1, t2],R) :λy∈G2(y) for some λ >1}

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is bounded. Here the operatorG2is defined by G2:=L1Fj where L1:L2([t1, t2],R)−→H1([t1, t2],R),

j:H1([t1, t2],R)−→C([t1, t2],R)

the completely continuous imbedding, and F:C([t1, t2],R) −→ 2L2([t1,t2],R) de- fined by:

F(y) =n

v: [t1, t2]−→Rmeasurable : v(t)∈F2(t, y(t)) for a.e.t∈[t1, t2]o . We again apply the theorem of Martelli to show that G2 has a fixed point, which we denote byy2, and so is a solution of problem (3.5)-(3.6) on the interval (t1, t2].

We now show that

s1≤y2(t)≤r1 for all t∈[t1, t2].

Sincey1(t1)∈[s0, r0] then (H1) implies that

s1≤I1(y(t1))≤r1, i.e. s1≤y(t+1)≤r1. Sincef(t, r1)≤0 andf(t, s1)≥0 we can show that

s1≤y2(t)≤r1 for t∈[t1, t2], and hencey2is a solution to

y0∈F(t, y), t∈(t1, t2), y(t+1) =I1(y1(t1)).

Step 3: We continue this process and we construct solutions yk on [tk1, tk], withk= 3, . . . , m+ 1 to

y0∈F(t, y), t∈(tk1, tk), (3.7)

y(t+k1) =Ik1(yk1(tk1)), (3.8)

withsk1≤yk(t)≤rk1fort∈[tk1, tk]. Then

y(t) =









y1(t), ift∈[0, t1)];

y2(t), ift∈(t1, t2];

...

ym+1(t), ift∈(tm, T]

is a solution to (1.1)-(1.3).

Using the same reasoning as that used in the proof of Theorem 3.1 we can obtain the following result.

Theorem 3.2. Let t0 = 0, tm+1 =T, and suppose thatF:J×R−→CC(R) is of typeM. Suppose the following hypotheses hold.

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(H4) There are functions {ri}mi=0 and {si}mi=0 with ri, si ∈ C([ti, ti+1]) and si(t)≤ri(t)fort∈[ti, ti+1], i= 0, . . . , m. Also, s0≤y0≤r0 and

si+1(t+i+1)≤ min

[si(ti+1),ri(ti+1)]

Ii+1(y)

≤ max

[si(ti+1),ri(ti+1)]

Ii+1(y)

≤ri+1(t+i+1), i= 0, . . . , m−1;

(H5)

Z wi

zi

f(t, si(t))dt≥si(wi)−si(zi), Z wi

zi

f(t, ri(t))dt≤ri(wi)−ri(zi), i= 0, . . . , m with

zi< wi andzi, wi∈[ti, ti+1].

Then the impulsive initial value problem(1.1)-(1.3) has at least one solution.

References

1. Banas J. and Goebel K.,Measures of Noncompactness in Banach Spaces, Marcel Dekker, New York, 1980.

2. Bainov D.D , and Simeonov P.S.,Systems with Impulse Effect, Ellis Horwood Ltd., Chichis- ter, 1989.

3. Benchohra M. and Boucherif A.,On first order initial value problems for impulsive differ- ential inclusions in Banach Spaces, Dynam. Systems Appl.8(1) (1999), 119–126.

4. Benchohra M. and Boucherif A.,Initial value problems for impulsive differential inclusions of first order, Differ. Equ. Dyn. Syst.8(2000), 51–66.

5. Chang K. C., The obstacle problem and partial differential equations with discontinuous nonlinearities, Comm. Pure Appl. Math.33(1980), 117–146.

6. Deimling K.,Multivalued Differential Equations, Walter De Gruyter, Berlin-New York, 1992.

7. Erbe L. and Krawcewicz W.,Existence of solutions to boundary value problems for impulsive second order differential inclusions, Rockey Mountain J. Math.22(1992), 519–539.

8. Erbe L. and Krawcewicz W.,Nonlinear boundary value problems for differential inclusions y00F(t, y, y0), Ann. Pol. Math.LIV(3) (1991), 195–226.

9. Frigon M. and O’Regan D.,Existence results for first order impulsive differential equations, J. Math. Anal. Appl.193, (1995), 96–113.

10. Frigon M. and O’Regan D.,Boundary value problems for second order impulsive differential equations using set-valued maps, Appl. Anal.58(1995), 325–333.

11. Frigon M.,Application de la th´eorie de la transversalit´e topologique `a des probl`emes non lin´eaires pour des ´equations diff´erentielles ordinaires, Diss. Math.296(1990), 1–79.

12. Hu Sh. and Papageorgiou N.,Handbook of Multivalued Analysis, Volume I: Theory, Kluwer, Dordrecht, Boston, London, 1997.

13. Klein E. and Thompson A.,Theory of Correspondences, Wiley, New York, 1984.

14. Lakshmikantham V., Bainov D. D. and Simeonov P. S.,Theory of Impulsive Differential Equations, World Scientific, Singapore, 1989.

15. Liu X.,Nonlinear boundary value problems for first order impulsive differential equations, Appl. Anal.36(1990), 119–130.

16. Liz E. and Nieto J. J.,Positive solutions of linear impulsive differential equations, Commun.

Appl. Anal.2(4) (1998), 565–571.

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17. Martelli M.,A Rothe’s type theorem for non compact acyclic-valued maps, Boll. Un. Mat.

Ital.11(1975), 70–76.

18. Pierson-Gorez C.,Probl`emes aux Limites Pour des Equations Diff´erentielles avec Impul- sions, Ph.D. Thesis, Univ. Louvain-la-Neuve, 1993 (in French).

19. Samoilenko A. M. and Perestyuk N. A.,Impulsive Differential Equations, World Scientific, Singapore, 1995.

20. Silva G. N. and Vinter R. B.,Measure driven differential inclusions, J. Math. Anal. Appl.

202(1996), 727–746.

21. Stewart D. E.,Existence of solutions to rigid body dynamics and the Painleve paradoxes, C.R. Acad. Sci. Paris Ser. I Math.325(1997), 689–693.

22. Vatsala A. S., and Sun Y.,Periodic boundary value problems of impulsive differential equa- tions, Appl. Anal.44(1992), 145–158.

23. Yujun D. and Erxin Z.,An application of coincidence degree continuation theorem in ex- istence of solutions of impulsive differential equations, J. Math. Anal. Appl.197, (1996), 875–889.

M. Benchohra, D´epartement de Math´ematiques, Universit´e de Sidi Bel Abb`es, BP 89, 22000 Sidi Bel Abb`es, Alg´erie,e-mail:[email protected]

S. K. Ntouyas, Department of Mathematics, University of Ioannina, 451 10 Ioannina, Greece, e-mail:[email protected]

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