Existence results and monotone iterative technique for impulsive hybrid functional differential systems with
anticipation and retardation
Bashir Ahmad
a, S. Sivasundaram
b,*aDepartment of Mathematics, Faculty of Science, King Abdul Aziz University, P. O. Box 80203, Jeddah 21589, Saudi Arabia
bDepartment of Mathematics, Embry-Riddle Aeronautical University, Daytona Beach, FL 32114, USA
Abstract
We study some existence results for impulsive hybrid functional differential equations with anticipation and retardation by using the existence theory of impulsive hybrid delay differential equations. The monotone iterative technique relative to the coupled lower and upper solutions has also been developed for impulsive hybrid functional differential equations with both anticipation and retardation.
2007 Elsevier Inc. All rights reserved.
Keywords: Impulsive hybrid differential equations with anticipation and retardation; Existence theory; Upper and lower solutions;
Monotone method
1. Introduction
A number of research papers has recently dealt with the theoretical developments and applications in the modeling and computing of anticipatory systems in certain fields of natural and artificial systems. Computing anticipatory systems involve differential delayed-advanced equations. Delayed systems are based on a memory of past states and advanced systems are systems which depend explicitly on their anticipatory future potential states. With the help of the laws of evolution considered at the current time for any physical system, the past and future states need to be defined by the new variables at the current time, taking into account some hidden mechanisms for their existence and knowledge at the current time because the past states no more exist at the current time and the future states are not yet actualized. Some delayed-advanced systems can be transformed to functional differential systems with FPP (future, present and past) dependence. Mathematically, new variables defined by equations at the current time, are introduced in view of computing, by synchronization, past and/or future states. However, the investigation of general functional differential systems with FPP
0096-3003/$ - see front matter 2007 Elsevier Inc. All rights reserved.
doi:10.1016/j.amc.2007.07.065
* Corresponding author.
E-mail addresses:[email protected],[email protected](S. Sivasundaram).
Applied Mathematics and Computation 197 (2008) 515–524
www.elsevier.com/locate/amc
dependence has its own challenges and there do exist several approaches to deal with such problems, for instance, see[1]. The potential applications[2,3]of anticipatory systems can be found in decision theory, cha- otic epidemics, wavelet theory, etc. Recently, Lakshmikantham [4]developed the existence theory for func- tional differential equations with both retardation and anticipation.
In this paper, we discuss some existence results for impulsive hybrid functional differential equations with retardation and anticipation. We also develop the monotone iterative technique to obtain the extremal solu- tions of the impulsive hybrid functional differential equations involving both anticipation and retardation. It is well known that the method of upper and lower solutions coupled with its associated monotone iteration scheme is an interesting and powerful mechanism that offers the theoretical as well constructive existence results for nonlinear problems in a closed set, generated by the lower and upper solutions, for instance, see [5–9]. To the best of our knowledge, this technique has not been yet applied to the retardation-anticipatory functional differential systems with impulse. Impulsive hybrid dynamical systems are characterized by the occurrence of abrupt change in the state of the system which occur at certain time instants over a period of negligible duration. The presence of impulse means that the state trajectory does not preserve the basic properties which are associated with nonimpulsive hybrid dynamical systems. Thus, our consideration is quite interesting and help understand further the retardation-anticipatory functional differential systems with impulse. In Section2, we present some existence results for impulsive hybrid functional differential equations with retardation and anticipation. In Section3, the monotone iterative technique together with the coupled lower and upper solutions[5]is employed to obtain the extremal solutions of the impulsive hybrid functional differential equations involving both anticipation and retardation. Under suitable conditions, it has also been shown that the minimal and maximal solutions yield the unique solution of the problem at hand.
2. Some existence results
Consider the impulsive hybrid functional differential system involving both anticipation and retardation x0ðtÞ ¼fðt;xt;xtÞ; t6¼tk; t2 ½t0;T; t0P0;
xtþ
k ¼IkðxtkÞ; t¼tk; k2Zþ;
xt0¼/02C1; xT¼w02C2; 8>
<
>: ð2:1Þ
where C1¼Cð½h1;0;RnÞ, C2¼Cð½0;h2;RnÞ, h1, h2P0; f 2PC½½t0;T D;Rn, D being an open set in C1·C2andxt(s) =x(t+s),h16s60,xT(r) =x(T+r), 06r6h2. Ik2CðRn;RnÞfor each k2Z+ and {tk} is a sequence of points such that 06t0<t1< tk<tk+1=T.
The function/0is generally known as delay or retardation or the past information. We may call/0(s) as the past information defined ont0h16s6t0,/0(t0) as the present andw0as the desired future potential. With this in mind,(2.1)may be regarded as the functional differential system with FPP (future, present and past) dependence. Whenever, a desired anticipation is involved, one needs to make appropriate decisions to predict the desired future event. The decisions made continuously from the present and past history, will effect the future prospectus of an event but it does not guarantee the occurrence of the desired results. Since the past and present cannot be changed, one is forced to relate the other factors in some form to achieve the anticipated outcome.
In order to prove the existence theorem for the posed problem(2.1), one may choose a decision function z2PC½½t0;T;Rn such that z(t0) =/0(t0) and z(T) =w0(T), that is, zt=z(t+r), 06r6h2 is defined for t2[t0,T] withzT=w0as the tail end. With this chosen decision function, the system(2.1)takes the form
x0ðtÞ ¼fðt;xt;ztÞ ¼Fðt;xtÞ; t6¼tk; t2 ½t0;T; xtþ
k ¼IkðxtkÞ; t¼tk; k2Zþ;
xt0¼/0; 8>
<
>: ð2:2Þ
which is an impulsive hybrid functional differential system with only delay and employs the future information from [t0,T]. Here, F 2PC½½t0;T C1;Rn means that F :ðtk1;tk C1!Rn is continuous and for each
xt2C1, limðt;ptÞ!ðtþ
k;xtÞFðt;ptÞ ¼Fðtþk;xtÞexists. By a solution of(2.2), we mean a piecewise continuous function x(t0,/0)(t) on [t0,T] which is left continuous on (tk,tk+1] and is defined by
xðt0;/0ÞðtÞ ¼
/0; t0h16t6t0; x0ðt0;/0ÞðtÞ; t06t6t1; x1ðt1;/1ÞðtÞ; t1<t6t2;
xkðtk;/kÞðtÞ; tk<t6tkþ1; 8>
>>
>>
>>
>>
>>
<
>>
>>
>>
>>
>>
>:
where xk(tk,/k)(t) is the solution of the functional differential equation with retardation x0ðtÞ ¼Fðt;xtÞ;
xtþ
k ¼/k;k2Zþ.
We need the following results to establish the existence theory for the impulsive hybrid functional differen- tial system involving both anticipation and retardation (for the proof of these results, see[6,7]).
Theorem 2.1. Let g2PC½RþR2;R be such that g(t, u, v) is nondecreasing in u, v for each t2Rþ. vkðu;vÞ 2C½R2;Ris nondecreasing in u, v for each k2Z+. Further, assume that the maximal solutionrðtÞP0of the problem
u0ðtÞ ¼gðt;u;vÞ; t6¼tk; uðtþkÞ ¼vkðuðtkÞ;vðtkÞÞ; t¼tk; uðt0Þ ¼u0;
8>
<
>: ð2:3Þ
exists on [t0,1).Then the maximal solution r(t)of u0ðtÞ ¼gðt;u;rðtÞÞ; t6¼tk;
uðtþkÞ ¼vkðuðtkÞ;rðtkÞÞ; t¼tk; uðt0Þ ¼u0;
8>
<
>: ð2:4Þ
exists for tPt0andrðtÞ ¼rðtÞ; tPt0.
Theorem 2.2. Suppose that the assumptions ofTheorem2.1hold. Further, letm2PC1½R;Rbe such that m(t) is left continuous at tkfor each k2Z+and for every v6rðtÞ;tPt0;we have
DmðtÞ6gðt;mðtÞ;vðtÞÞ; t6¼tk; mðtþkÞ6vkðmðtkÞ;vðtkÞÞ; t¼tk; uðt0Þ ¼u0;
8>
<
>:
where DmðtÞ ¼lim infh!01h½mðtþhÞ mðtÞ. Then m(t)6r(t), tPt0, where r(t) is the maximal solution of (2.4).
We now state an existence result for(2.2)for a chosenz(t). We omit the proof as it is based on standard arguments[6,7].
Theorem 2.3. LetF 2PC½½t0;T Cq;Rnandvk: Cq!Cq, where Cq={/2C1:j/j0<q}. Then there exists an a>0 such that there is a solution x(t0,/0)(t) of (2.2) existing on [t0, t0+a] for every given initial value /02Cqat t = t0.
Theorem 2.4 (Global existence result). Suppose that the solutions of(2.2)exist locally for any choice of z(t) satisfying
jztj06rðtÞ; t2 ½t0;T; ð2:5Þ
whererðtÞ ¼rðt;t0;u0Þis the maximal solution of u0ðtÞ ¼gðt;u;uÞ; t6¼tk;
uðtþkÞ ¼vkðuðtkÞ;uðtkÞÞ; t¼tk; uðt0Þ ¼u0;
8>
<
>: ð2:6Þ
existing on [t0, T]. Hereg2PC½½t0;T R2;Ris such that g(t, u, v) is nondecreasing in u, v for each t2[t0, T]
andvkðu;vÞ 2C½R2;Ris nondecreasing in u, v for each k2Z+. Further, for/2C1withj/j0=j/(0)jand for any z satisfying(2.5), the function f in(2.2)has the estimate
jfðt;/;ztÞj6gðt;j/ð0Þj;jztj0Þ: ð2:7Þ
Moreover, we require that
jIkðxtkÞj6vkðjxtkjÞ; t¼tk: ð2:8Þ
Let r(t) = r(t, t0, u0) be the maximal solution of u0ðtÞ ¼gðt;u;rðtÞÞ; t6¼tk; uðtþkÞ ¼vkðuðtkÞ;rðtkÞÞ; t¼tk; uðt0Þ ¼u0;
8>
<
>:
existing on [t0, T]. Then the largest interval of existence of any solution x(t0,/0)(t) of(2.2)is [t0, T].
Proof. Letx(t0,/0)(t) be any solution of(2.2)existing on some interval [t0,t1] witht1<T. Fort2[t0,t1], we set m(t) =jx(t0,/0)(t)j so that mt=jxt(t0,/0)j. In view of (2.7), we obtain the differential inequality Dm(t)6g(t,m(t),jztj0), which, on using(2.5)together with the fact thatg(t,u,v) is nondecreasing inv, yields
DmðtÞ6gðt;mðtÞ;rðtÞÞ; t2 ½t0;t1:
We choosejmt0j ¼ j/0j06u0. ByTheorem 2.2, it follows that:
mðtÞ6rðtÞ; t2 ½t0;t1: ð2:9Þ
For anyt2;t3 satisfyingt0<t2<t3<t1;using the monotonicity ofg(t,u,v) inu and(2.9), we obtain jxðt0;/0Þðt3Þ xðt0;/0Þðt2Þj6
Z t3 t2
gðs;xsðt0;/0Þ;rðsÞÞds6 Z t3
t2
gðs;rðsÞ;rðsÞÞds¼rðt3Þ rðt2Þ;
where we have used the fact thatr(t) is nondecreasing int(because ofg(t,u,v)P0). Hence mt6rðtÞ; t2 ½t0;t1:
Now, utilizing the monotone character ofv(u,v) in (u,v) andm(t1)6r(t1), we get mðtþ1Þ6v1ðmðt1Þ;jzt1j0Þ6v1ðmðt1Þ;rðt1ÞÞ6v1ðrðt1Þ;rðt1ÞÞ ¼rþ1:
Next, we define limt!tþ
1xðt0;/0ÞðtÞ ¼xðt0;/0Þðt1Þand setxt1ðt0;/0Þ ¼/1as the new function att=t1. Now, for t1<t6t2, it follows by the earlier arguments thatmt6r(t),t2(t1,t2] andmðtþ2Þ6rþ2. Continuing this process successively, we get the existence of a solution of(2.2)on [t0,T]. This completes the proof. h
Corollary 2.5. The proof ofTheorem2.4for the existence of a solution of (2.2)remains valid on [t0,1] if the functions involved are assumed to hold on [t0,1], instead of [t0, T]. In this case, the sequence of points {tk}sat- isfies 06t0<t1< tk<tk+1 withlimk!1tk=1.
In order to claim that the solution x(t0,/0)(t) of(2.2)existing on [t0, T], is the solution of(2.1)for a chosen z(t) on [t0, T], we need to show that
xðt0;/0ÞðTÞ ¼w0ðTÞ ¼zðTÞ: ð2:10Þ
In general, it is not true that(2.10)holds for an arbitrary choice of z(t). However, if we find at least one z(t) sat- isfying(2.10), then we have an existence result for(2.1). Lakshmikantham[4]has argued that there exists a func- tion z(t) such that(2.10)holds if the functional f in(2.2)satisfies the condition
2eat</1ð0Þ /2ð0Þ; fðt;/1;zt1Þ fðt;/2;zt2Þ>þeatj/1ð0Þ /2ð0Þj26c1eatjz1z2j20;
where jz1z2j0 ¼maxt06t6Tþh2jz1ðtÞ z2ðtÞj;ðc1=aÞ1=2<1;c1>0;a>0; and /1;/22X ¼ ½/1;/22C1: maxh16s60j/1ðsÞ /2ðsÞjeaðtþsÞ¼ j/1ð0Þ /2ð0Þjeat.
Let us consider another type of impulsive hybrid functional differential system with anticipation and retardation given by
x0ðtÞ ¼fðt;xt;xtÞ; t6¼tk; xtþ
k ¼IkðxtkÞ; t¼tk;
xt0¼/0; xt0¼w0; 8>
<
>: ð2:11Þ
where w02PCð½t0;T;RnÞor w02PCð½t0;1;RnÞwith limt!1w0(t) = 0. Here, the decision (anticipative) func- tion starts from the value t = t0either on the finite interval [t0, T] or on the semi-infinite interval [t0,1] and there is no need to choose z(t) as before, sincew0takes the position of z(t).
Now, we present a set of sufficient conditions in terms of Lyapunov like function which ensures that the evolution process x(t0,/0,w0)(t) for the impulsive hybrid problem(2.11)withw0defined on [t0,1] possesses the property as w0, that is
t!1limxðt0;/0;w0ÞðtÞ ¼0¼lim
t!1w0ðtÞ: ð2:12Þ
Theorem 2.6. Suppose that the solutions x(t0,/0,w0)(t) of(2.11)exist for tPt0. Further, the following assump- tions hold:
(i) There exists a V :RþRn!Rþ such that V(t, x) is continuous in ðtk1;tk Rn and for each x2Rn, limðt;yÞ!ðtþ
k;xÞVðt;yÞ ¼Vðtþk;xÞexists. Moreover, V(t, x) is positive definite and V(t, 0) = 0;
(ii) For/2X0¼ ½/2C1:maxh16s60Vðtþs;/ðsÞÞeaðtþsÞ¼Vðt;/ð0ÞÞeat;a>0, DVðt;/ð0ÞÞeatþaVðt;/ð0ÞÞeat6gðt;Vðt;/ð0ÞÞeat; Wðt;jwt0j0ÞÞ; t6¼tk; Vðtþk;IkðxÞÞeat6vkðtk;Vðt;/ð0ÞÞeat; Wðt;jwt0j0ÞÞ; t¼tk;
(
whereWðt;jwt0j0Þ 2PC½Rnþ;Rþand g(t, u, v),vk(u, v) satisfy the assumptions ofTheorem 2.1;
(iii) Wðt;jwt0j0Þ6rðtÞ;tPt0 withwt0¼w0ðtþrÞ;06r6h2;
(iv) the maximal solution r(t) = r(t, t0, u0), u0P0, is bounded on [t0,1].
Then every solution x(t0,/0,w0)(t) of(2.11)is such that(2.12)is satisfied.
Proof. Since we have assumed the existence of the solutionsx(t0,/0,w0)(t) of(2.11) fortPt0, we set mðtÞ ¼Vðt;xðt0;/0;w0ÞðtÞÞeat:
For t2[t0,t1], following the procedure used in the proof of Theorem 2.4, we obtain the differential inequality:
DmðtÞ6gðt;mðtÞ;Wðt;jwt0j0ÞÞ:
Using (iii) and monotone character ofg(t,u,v) in v, the above inequality becomes DmðtÞ6gðt;mðtÞ;rðtÞÞ;
which, by Theorem 2.2, yieldsm(t)6r(t,t0,u0), t2[t0,t1]. Now, using the hypothesis (ii) and the monotone nature ofv(u,v) in (u,v) together withm(t1)6r(t1), we obtain
mðtþ1Þ6v1ðt1;Vðt1;/ð0ÞÞeat1;Wðt;jwt01j0ÞÞ6v1ðt1;mðt1Þ;rðt1ÞÞÞ6v1ðt1;rðt1;t0;u0Þ;rðt1ÞÞ ¼rþ1:
Next, lettingt2(t1,t2] withmðtþ1Þ6rþ1;it follows by the earlier arguments thatm(t)6r(t,t0,u0),t2(t1,t2] andmðtþ2Þ6rþ2. Repeating this process, we conclude that
mðtÞ6rðt;t0;u0Þ; tPt0;
providedjmt0j06u0:In view of assumption (iv), it then implies that Vðt;xðt0;/0;w0ÞðtÞÞeat6rðt;t0;u0Þ6Nr; tPt0;
whereNr> 0 provides the bound onr(t,t0,u0). By the positive definiteness ofV(t,x), it follows that(2.12)is true. This completes the proof. h
3. Monotone iterative technique
In this section, the method of upper and lower solutions together with its associated monotone iteration scheme will be applied to find the unique solution of the impulsive hybrid functional differential equations involving both anticipation and retardation given by
x0ðtÞ ¼fðt;xðtÞ;xt;xtÞ; t6¼tk; t2J ¼ ½t0;T; t0P0;
Dxjt¼tk ¼IkðxðtkÞÞ; k¼1;2;. . .;m;
xt0¼/02C1; xT¼w02C2; 8>
<
>: ð3:1Þ
where C1¼Cð½h1;0;RÞ; C2¼Cð½0;h2;RÞ; h1; h2P0; f 2PC½JRC1C2;R; and xt(s) =x(t+s), h16s60, xt(r) =x(t+r), 06r6h2. Ik 2CðR;RÞ for each k= 1, 2,. . .,m, and {tk} is a sequence of points such that 06t0<t1< tm<T. As before, by a solution of (3.1), we mean a piecewise continuous functionx(t) on [t0,T] which is left continuous on (tk,tk+1].
We need the following known results in suitable form relative to linear impulsive hybrid functional differ- ential inequalities[8].
Lemma 3.1. Assume that
(i) pðtÞ 2PCð½t0h1;Tþh2;RÞ \C1ðJ1;RÞsatisfies p0ðtÞ6MpðtÞ NR0
h1ptðsÞds; t6¼tk; t2J ¼ ½t0;T; Dpjt¼tk 6LkpðtkÞ; k¼1;2;. . .;m;
(
where MP0, 06Lk61, k = 1, 2,. . ., m andJ1¼J ftkgk¼mk¼1;
(ii) pt0ðsÞ60;h16s60,pðtÞ 2PCð½t0h1;t0;RÞ \C1ðJ2;RÞ,whereJ2¼ ½t0h1;t0 ftlg1l¼r;ftlg1l¼ris the set of points of discontinuity of p(t), p0(s)6k/(T + h1) where min½t0h1;t0pðsÞ ¼ k;kP0;
½MþNh1ðTþh1Þ61; pðtþiÞ pðtiÞ6LipðtiÞ and D1=max{tr+ h1, tr+1tr, . . .,t1, t1, t2t1,. . ., Ttm}is such that
D16
Qm
k¼rð1LkÞ 1þPm
j¼r
Qm
k¼jð1LkÞðTþh1Þ:
Then p(t)60 on J.
Lemma 3.2. Let pðtÞ 2PCð½t0h1;Tþh2;RÞ \C1ðJ1;RÞsatisfies p0ðtÞ6M1pðtÞ þN1
Z 0 h1
ptðsÞdsþN2 Z h2
0
ptðuÞdu; t6¼tk; t2J;
where M1, N1, N2P0 with [h1N1+ h2N2]<M1, and suppose that all other assumptions of Lemma 3.1 hold.
Thenpt060; pT60implies p(t)60 on J.
For convenience, let us set the following assumptions relative to(3.1):
(A1) There exista0;b02PCðJ;RÞsatisfying a00ðtÞ6fðt;a0ðtÞ;a0t;bt0Þ; t6¼tk; t2J;
Da0jt¼tk 6Ikða0ðtkÞÞ; k¼1;2;. . .;m;
a0t0¼/1; aT0 ¼w1; 8>
<
>:
b00ðtÞPfðt;b0ðtÞ;b0t;at0Þ; t6¼tk; t2J;
Db0jt¼tk PIkðb0ðtkÞÞ; k¼1;2;. . .;m;
b0t0 ¼/2; bT0 ¼w2; 8>
<
>:
such that/16/06/2,w16w06w2,a0(t)6b0(t), t2J and/1,/22C1,w1,w22C2. (A2) f(t, x,/,w) is nonincreasing in wfor each (t, x,/).
(A3) There exist M, NP0 and an arbitraryf2C2such that fðt;x;/;fÞ fðt;y;w;fÞPMðxyÞ N
Z 0 h1
ð/wÞðsÞds; t2J;
whenevera0(t)6y6x6b0(t), a0t6w6/6b0t.
(A4) a0t/0,/0b0t satisfy the assumption (ii) ofLemma3.1.
(A5) There exist constants 06Lk61, k = 1, 2,. . ., m such that IkðxÞ IkðyÞPLkðxyÞ;
whenevera0(tk)6y6x6b0(tk).
Theorem 3.1. Let the assumptions (A1)–(A5) be satisfied. Then there exist monotone sequences {an(t)}, {bn(t)}, which converge uniformly to the minimal solutionq(t) and the maximal solution r(t) of(3.1)on [t0h1, T + h2].
If, in addition, we require
(A6) fðt;x;/1;w2Þ fðt;x;/2;w1Þ6 M1ðxyÞ þN1R0
h1ð/1 /2ÞðsÞdsþN2Rh2
0 ðw1w2ÞðuÞdu; where a0ðtÞ6/26/16b0ðtÞ;aT0 6w26w16bT0 and [h1N1+ h2N2]<M1,
then q(t) = r(t) = x(t) is the unique solution of(3.1)on J.
Proof. For eachn= 1, 2, 3,. . ., we consider the following linear problems:
a0nþ1ðtÞ ¼fðt;an;ant;btnÞ Mðanþ1anÞ NR0
h1ðaðnþ1ÞtantÞðsÞds; t6¼tk; t2J;
Danþ1jt¼tk ¼IkðanðtkÞÞ Lkðanþ1ðtkÞ anðtkÞÞ; k¼1;2;. . .;m;
8>
<
>: ð3:2Þ
b0nþ1ðtÞ ¼fðt;bn;bnt;atnÞ Mðbnþ1bnÞ NR0
h1ðbðnþ1ÞtbntÞðsÞds; t6¼tk; t2J;
Dbnþ1jt¼tk ¼IkðbnðtkÞÞ Lkðbnþ1ðtkÞ bnðtkÞÞ; k¼1;2;. . .;m;
8>
<
>: ð3:3Þ
withaðnþ1Þt0 ¼/0;bðnþ1Þt0¼/0andaTnþ1;bTnþ1are chosen so that
aT0 6aTn 6aTnþ16w06bTnþ16bTn 6bT0; ð3:4Þ andaTn;bTn converge uniformly tow0on [0,h2]. In passing, we remark that we can fixaTn;bTn in(3.4)according to our choice, for instance, aTn;bTn may be taken to be the sequences translating w0 appropriately, that is, aTn ¼w0nn;bTn ¼w0þgnwithan(T) =w0(T)nn,bn(T) =w0(T) +gnfor eachn, wherenn,gn> 0 are mono- tone sequences tending to zero asn! 1. Another simple choice for(3.4)isaT0 ¼w0;bT0 ¼w0:In case we take /0satisfyinga0t0 6/06b0t0;w0must satisfya1(T)6w0(T)6b1(T) for a suitable choice of(3.4).
We note that each of the linear problems(3.2) and (3.3)has a unique solution on [t0h1,T+h2]. We want to show that
a06a16a26 6an6bn6 6b26b16b0; t2J: ð3:5Þ For this purpose, we setp=a0a1and first prove thata06a1on J.
p0¼a00a016fðt;a0ðtÞ;a0t;bt0Þ fðt;a0;a0t;bt0Þ þMða1a0Þ þN Z 0
h1
ða1ta0tÞðsÞds
6MpN Z 0
h1
ptðsÞds; t6¼tk; t2J;
Dpjt¼tk ¼Da0jt¼tkDa1jt¼tk
6Ikða0ðtkÞÞ Ikða0ðtkÞÞ þLkða1ðtkÞ a0ðtkÞÞ 6LkpðtkÞ; k¼1;2; ;. . .;m;
and
pt0¼a0t0a1t0 60:
Hence, byLemma 3.1, it follows thata06a1onJ. In a similar manner, one can show thatb16b0onJ. Next we prove thata16b1onJ. Lettingp=a1b1and using(3.2) and (3.3)together with the assumptions (A2), (A3) and (A5), we have
p0¼a01b01¼fðt;a0;a0t;bt0Þ Mða1a0Þ N Z 0
h1
ða1ta0tÞðsÞds
fðt;b0;b0t;at0Þ þMðb1b0Þ þN Z 0
h1
ðb1tb0tÞðsÞds
6Mðb0a0Þ þN Z 0
h1
ðb0ta0tÞðsÞdsMða1a0Þ N Z 0
h1
ða1ta0tÞðsÞds
þMðb1b0Þ þN Z 0
h1
ðb1tb0tÞðsÞds6MpN Z 0
h1
ptðsÞds; t6¼tk; t2J;
Dpjt¼tk ¼Da1jt¼tkDb1jt¼tk ¼Ikða0ðtkÞÞ Lkða1ðtkÞ a0ðtkÞÞ Ikðb0ðtkÞÞ þLkðb1ðtkÞ b0ðtkÞÞ 6Lkðb0ðtkÞ a0ðtkÞÞ Lkða1ðtkÞ a0ðtkÞÞ þLkðb1ðtkÞ b0ðtkÞÞ
¼ LkpðtkÞ; k¼1;2;. . .;m;
andpt0 ¼0:Again, byLemma 3.1, we find thatp(t)60 onJ, that is,a16b1onJ. Thus, we get
a06a16b16b0 onJ: ð3:6Þ
Now, forp> 1, we assume that
ap16ap6bp6bp1 on J; ð3:7Þ
and prove that
ap6apþ16bpþ16bp on J: ð3:8Þ
Settingp=apap+1and making use of the assumptions (A2), (A3) and (A5) together with(3.7), we obtain p0¼a0pa0pþ1¼fðt;ap1;aðp1Þt;btp1Þ
Mðapap1Þ N Z 0
h1
ðaptaðp1ÞtÞðsÞdsfðt;ap;apt;btpÞ
þMðapþ1apÞ þN Z 0
h1
ðaðpþ1ÞtaptÞðsÞds
6Mðapap1Þ þN Z 0
h1
ðaptaðp1ÞtÞðsÞds
Mðapap1Þ N Z 0
h1
ðaptaðp1ÞtÞðsÞdsþMðapþ1apÞ þN Z 0
h1
ðaðpþ1ÞtaptÞðsÞds
6MpN Z 0
h1
ptðsÞds; t6¼tk; t2J;
Dpjt¼tk ¼Dapjt¼tkDapþ1jt¼tk ¼Ikðap1ðtkÞÞ LkðapðtkÞ ap1ðtkÞÞ IkðapðtkÞÞ þLkðapþ1ðtkÞ apðtkÞÞ
6LkðapðtkÞ ap1ðtkÞÞ LkðapðtkÞ ap1ðtkÞÞ þLkðapþ1ðtkÞ apðtkÞÞ
¼ LkpðtkÞ; k¼1;2;. . .;m:
Sincept0¼0;it follows byLemma 3.1thatp(t)60 onJ, that is,ap6ap+1onJ. Using a similar procedure, it can be shown thatbp+16bponJ. Now, we definep=ap+1bp+1and employ the earlier arguments to arrive at
p06MpN Z 0
h1
ptðsÞds; t6¼tk; t2J; Dpjt¼tk 6LkpðtkÞ; k¼1;2;. . .;m;
and pt0 ¼0; which imply that ap+16bp+1 on J. Combining these conclusions proves (3.8). Therefore, by induction, (3.5) is valid on J, which together with (3.4) implies that (3.5)also holds on [t0,T+h2]. As the sequences {an}, {bn} are bounded by (3.5), one can apply the standard arguments [7–9] to conclude that sequences {an}, {bn} converge uniformly onJ and in factan!q,bn!ron J. Also, we have
q0ðtÞ ¼fðt;q;qt;rtÞ; t6¼tk; Dqjt¼tk ¼IkðqðtkÞÞ; k¼1;2;. . .;m; qt0¼/0; r0ðtÞ ¼fðt;r;rt;qtÞ; t6¼tk; Drjt¼tk ¼IkðrðtkÞÞ; k¼1;2;. . .m; rt0 ¼/0; withq6ronJandqT=rT.
In order to show thatq,rare respectively coupled minimal and maximal solutions of(3.1), letx(t) be any solution of(3.1)withxt0 ¼/0;xT¼w0satisfyinga06x6b0onJ. By definition ofq,r, we haveqT=xT=rT. Therefore, it is enough to show that q6x6ronJ. Lettingp=a1xso thatpt
0¼0 and using the earlier arguments, we obtain
p0¼a01x0¼fðt;a0;a0t;bt0Þ Mða1a0Þ N Z 0
h1
ða1ta0tÞðsÞdsfðt;x;x0t;xtÞ
6Mðxa0Þ þN Z 0
h1
ðxta0tÞðsÞdsMða1a0Þ N Z 0
h1
ða1ta0tÞðsÞds
6MpN Z 0
h1
ptðsÞds; t6¼tk; t2J;
Dpjt¼tk ¼Da1jt¼tkDxjt¼tk ¼Ikða0ðtkÞÞ Lkða1ðtkÞ a0ðtkÞÞ IkðxtkÞ 6LkðxðtkÞ a0ðtkÞÞ Lkða1ðtkÞ a0ðtkÞÞ
¼ LkpðtkÞ; k¼1;2;. . .;m:
Hence, byLemma 3.1, we geta16xon J. A similar procedure can be employed to show thatx6b1on J.
Proceeding as before, it can be shown thatan+16x6bn+1onJ. Thusq,rare respectively coupled minimal and maximal solutions of(3.1).
Next, we show the uniqueness of the solution of (3.1). Setting p=rq and using qt6rt together with assumption (A6), we obtain
p0¼r0ðtÞ q0ðtÞ ¼fðt;r;rt;qtÞ fðt;q;qt;rtÞ 6M1pðtÞ þN1
Z 0 h1
ðsÞptðsÞdsþN2 Z h2
0
ptðsÞds; t6¼tk; Dpjt¼tk ¼IkðrðtkÞÞ IkðqðtkÞÞ6LkpðtkÞ; k¼1;2;. . .;m;
andpt
0¼0; pT¼0. ByLemma 3.2, we find thatr6q, which yieldsq=ronJ. Consequently,x=q=ris the unique solution of(3.1)onJ withxt0 ¼/0; xT ¼w0. This completes the proof. h
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