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Research article

Nonlinear fractional boundary value problem with not instantaneous impulse

  • Received: 24 December 2016 Accepted: 25 May 2017 Published: 22 June 2017
  • In this article, the main focus is to propose the solution for the nonlinear fractional boundary system with non-instantaneous impulse under some weak conditions. By applying well known classical fixed point theorems, we obtained the existence and uniqueness outcomes of the solution for the proposed problem. Moreover, an example is also discussed to explain the present work.

    Citation: Vidushi Gupta, Jaydev Dabas. Nonlinear fractional boundary value problem with not instantaneous impulse[J]. AIMS Mathematics, 2017, 2(2): 365-376. doi: 10.3934/Math.2017.2.365

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  • In this article, the main focus is to propose the solution for the nonlinear fractional boundary system with non-instantaneous impulse under some weak conditions. By applying well known classical fixed point theorems, we obtained the existence and uniqueness outcomes of the solution for the proposed problem. Moreover, an example is also discussed to explain the present work.


    1. Introduction

    Fractional calculus is the most famous and useful branch of mathematics which provides a good framework for mathematical modeling of biological, engineering and physical phenomena etc. [1,2,3,4,5]. To get a few developments about the theory of fractional differential equations (FDEs), one can refer to [6,7,8,9,10] and the references therein.

    Recently, the BVPs for nonlinear FDEs have been demonstrated by numerous authors. It has been seen that boundary conditions can be used to describe many physical systems and is therefore a popular part of mathematics. Interested readers may refer to [8,9,10,11,12,13] and the references therein for better understanding.

    Most of the research papers deal with the existence of solutions for differential equations with instantaneous impulsive conditions see [8,9,10,14,15]. But many times it has seen that certain dynamics of evolution processes cannot describe by instantaneous impulses, For instance: Pharmacotherapy, high or low levels of glucose, this situation can be interpreted as an impulsive action which starts abruptly at certain point of time and continue with a finite time interval. Such type of systems are known as non-instantaneous impulsive systems which are more suitable to study the dynamics of evolution processes. This theory of a new class of impulsive differential equation (IDE) was developed by Hernndez et al. [14]. Afterwards, Pierri et al. [16] continued the work in this field and extend the theory of [14] in a PCα normed Banach space. The existence of solutions for non-instantaneous impulsive fractional differential equations (IFDEs) have also been studied [6,7,11,16,17].

    Recently, Kumar et al. [15] investigated the FDE with not instantaneous impulse. By using the Banach fixed point theorem with condensing map the author's built up the presence and uniqueness results. Li et al. [6] considered the IFDEs where impulses are non-instantaneous. Yu [7] studied a new class of FDEs with non-instantaneous impulses and gave a suitable formula of piecewise continuous solutions. The author also established the concept of Ulam-Hyers stability on compact interval.

    Wang et al. [11] investigated the following periodic BVP:

    {cDqu(t)=f(t,u(t)),t(si,ti+1],i=0,1,2,,m,q>0,u(t)=gi(t,u(t)),t(ti,si],i=1,2,,m,u(0)=u(T), (1.1)

    where cDq represents the Caputo's fractional derivative. Authors also studied the same system for q=1, and obtained the existence results by utilizing some classical fixed point theorems.

    Recently, Z. Lin et al. [12] discussed the following system of order q(0,1):

    {cDqu(t)+λu(t)=f(t,u(t)),t(si,ti+1),i=0,1,2,,m,u(t)=gi(t,u(t+i)),t(ti,si],i=1,2,,m,u(0)=mi=1ξiu(τi),τi(si,ti+1),i=1,2,,m,mi=1ξi=1, (1.2)

    The two existence results are obtained by classical and generalized Mittag Leffer functions and fixed point theorems.

    Inspired by the development in this field and the above mentioned work, we deliberate the following fractional BVP in case of non-instantaneous impulse:

    {cDα0,ty(t)+f(t,y(t))=0,t(si,ti+1][0,T],i=0,1,2,,m,α(0,1],y(t)=Hi(t,y(t)),t(ti,si],i=1,2,,m,y(0)=μcDqy(ψ),0<ψ<T,q(0,1),μR, (1.3)

    For the not instantaneous impulses, 0=s0<t1s1t2<<tmsmtm+1=T are pre-fixed numbers. The functions f:[0,T]×RR and H:[ti,si]×RR are continuous.

    In the literature, a limited work is reported on non-instantaneous impulsive effect together with FBVPs. To overcome this gap, we extend the work carried out in [11]. This paper is composed as follows. In Section 2 we demonstrate a couple of preliminaries, definitions, and lemmas which are to be employed to prove our essential outcomes. After that, the existence and uniqueness outcomes of solutions for the model (1.3) are analyzed under the Banach, Kransnoselskii's and Larey schauder's alternative fixed point theorems [18] in Section 3. In this article the Section 4 is introduced to demonstrate the validity and applicability of the techniques.


    2. Preliminaries

    Let C([0,T],R) be the Banach space of all continuous functions with the sup norm yC:=sup{|y(t)|:t[0,T]} for yC([0,T],R). From the associate literature we assume the space PC([0,T],R):={y:[0,T]R:yC((tk,tk+1],R),k=0,1,,m and there exist y(tk) and y(t+k),k=0,1,,m, with y(tk=y(tk))} under the norm yPC:=sup{|y(t)|:t[0,T]}. Set PC1([0,T],R):={yPC([0,T],R):yPC([0,T],R)} endowed with the norm yPC1:=max{yPC,yPC}. Clearly, PC1([0,T],R) favoured with the norm .PC1 is a Banach space.

    In this manuscript, we have used some fundamental definitions of fractional derivatives and integrals and preparatory facts of fractional calculus which are taken from the paper [19]. So we may relax all those notations and historical background.

    Lemma 2.1. Let α>0, then cDαK(t)=0, has solutions K(t)=c0+c1t+c2t2++cp1tp1 and IαcDαK(t)=K(t)+c0+c1t+c2t2++cp1tp1 where ciR,i=0,1,,p1,p=[α]+1.

    In order to obtain the solution of the problem (1.3), we need the following lemma.

    Lemma 2.2. [11] Suppose h:[0,T]R and Gi:[ti,si]R be continuous functions. A function yPC1([0,T],R) is a solution of the problem

    {y(t)=h(t),t(si,ti+1],i=0,1,2,,m,y(t)=Gi(t),t(ti,si],i=1,2,,m,y(0)=y(T),

    iff

    y(t)={Gm(sm)+Tsmh(s)ds+t0h(s)ds,t[0,t1],Gi(t),t(ti,si],i=1,2,,m,Gi(si)+tsih(s)ds,t(si,ti+1],i=0,1,2,,m.

    Theorem 2.3. [18] Let C be a convex subset of a Banach space, E be a open subset of C with 0E. Then every completely continuous map F:¯EC has at least one of the two following properties

    1. There exist an e¯E such that Fe=e.

    2. There exists an yE and κ(0,1), such that y=κFy.

    By using the concept of lemma 2.2, we can derive the following result.

    Lemma 2.4. A function yPC1([0,T],R) given by

    y(t)={μψ0(ψs)αq1Γ(αq)σ(s)dst0(ts)α1Γ(α)σ(s)ds,t[0,t1],Hi(t),t(ti,si],i=1,2,,m,Hi(si)+si0(sis)α1Γ(α)σ(s)dst0(ts)α1Γ(α)σ(s)ds,t(si,ti+1],i=0,1,2,,m, (2.1)

    is a solution of the following system

    {cDαy(t)+σ(t)=0,t(si,ti+1],i=0,1,2,,m,α(0,1],t[0,T],y(t)=Hi(t),t(ti,si],i=1,2,,m,y(0)=μDqy(ψ),0<ψ<T,q>0, (2.2)

    Proof. Suppose y(t) satisfies (2.2). Then for t[0,t1], integrating the first equation of (2.2) from 0 to t, we have

    y(t)=y(0)t0(ts)α1Γ(α)σ(s)ds. (2.3)

    Moreover, if t(si,ti+1], and again integrating the first equation of (2.2) from si to t, we obtain

    y(t)=y(si)tsi(ts)α1Γ(α)σ(s)ds. (2.4)

    Now applying the impulsive condition y(t)=Hi(t),t(ti,si], we get

    y(si)=Hi(si). (2.5)

    Consequently, from (2.4) and (2.5), we occur

    y(t)=Hi(si)tsi(ts)α1Γ(α)σ(s)ds, (2.6)

    and

    y(t)=Hi(si)+si0(sis)α1Γ(α)σ(s)dst0(ts)α1Γ(α)σ(s)ds. (2.7)

    Now using the boundary condition y(0)=μDqy(ψ),0<ψ<T, we obtain

    y(0)=μDqy(ψ)=μψ0(ψs)αq1Γ(αq)σ(s)ds. (2.8)

    Hence, by the definitions of fractional derivatives, integrals, lemma 2.1 and proceeding the steps of lemma 4.1 [13], it is clear that (2.3), (2.7) and (2.8) imply (2.1).

    By lemma 2.4, we state the following definition.

    Definition 2.5. The continuously differentiable function y:[0,T]R such that yPC1([0,T],R) is said to be the solution of the system (1.3) if it satisfies the following integral equation

    y(t)={μψ0(ψs)αq1Γ(αq)f(s,y(s))dst0(ts)α1Γ(α)f(s,y(s))ds,t[0,t1],Hi(t,y(t)),t(ti,si],i=1,2,,m,Hi(si,y(si))+si0(sis)α1Γ(α)f(s,y(s))dst0(ts)α1Γ(α)f(s,y(s))ds,t(si,ti+1],i=0,1,2,,m. (2.9)

    3. Main Results

    In this section, we present the main outcomes and existence results of this article.


    3.1. Existence and Uniqueness result via Banach fixed point theorem:

    Theorem 3.1. Consider the following condition hold

    (A1) There are positive constants L,Lhi,i=1,2,,m, such that

    |f(t,y(t))f(t,v(t))|L|yv|,t[0,T],y,vR,|Hi(t,y1)Hi(t,y2)|Lhi|y1y2|,t[ti,si],y1,y2R.

    Then the system (1.3) has a unique solution on [0,T] provided Δ<1, such that

    Δ:=max{μLψαqΓ(αq+1)+LTαΓ(α+1),maxi=1,2,,mLhi+L(tαi+1+sαi)Γ(α+1)}.

    Proof. First, we transform the problem (1.3) into a fixed point problem. Define an operator F:PC([0,T],R)PC([0,T],R) by

    (Fy)(t)={μψ0(ψs)αq1Γ(αq)f(s,y(s))dst0(ts)α1Γ(α)f(s,y(s))ds,t[0,t1],Hi(t,y(t)),t(ti,si],i=1,2,,m,Hi(si,y(si))+si0(sis)α1Γ(α)f(s,y(s))dst0(ts)α1Γ(α)f(s,y(s))ds,t(si,ti+1],i=0,1,2,,m. (3.1)

    It also observe that F is well defined. Now, we show that F is a contraction mapping. Let y1,y2PC([0,T],R), we have

    Case 1. For each t[0,t1], we get

    |(Fy1)(t)(Fy2)(t)|μψ0(ψs)αq1Γ(αq)|f(s,y1(s))f(s,y2(s))|ds+t0(ts)α1Γ(α)|f(s,y1(s))f(s,y2(s))|dsL[μψαqΓ(αq+1)+TαΓ(α+1)]y1y2PC.

    Case 2. For each t(ti,si], we find

    |(Fy1)(t)(Fy2)(t)||Hi(t,y1(t))Hi(t,y2(t))|Lhiy1y2PC.

    Case 3. For each t(si,ti+1], we obtain

    |(Fy1)(t)(Fy2)(t)||Hi(si,y1(si))Hi(si,y2(si))|+si0(sis)α1Γ(α)|f(s,y1(s))f(s,y2(s))|ds+t0(ts)α1Γ(α)|f(s,y1(s))f(s,y2(s))|ds[Lhi+LΓ(α+1)(tαi+1+sαi)]y1y2PC.

    From the above simulation, we conclude that (Fy1)(Fy2)PCΔy1y2PC, which implies that F is a contraction and a unique solution yPC([0,T],R) on [0,T].


    3.2. Existence result via Krasnoselskiis fixed point theorem:

    Theorem 3.2. Suppose that A1 satisfied and the following axioms hold

    (A2) There is a constant Lf>0, such that

    |f(t,y)|Lf(1+|y|),t[si,ti+1],yR.

    (A3) There exist a function ηi(t),i=1,2,,m, such that

    |Hi(t,y)|ηi(t),t[ti,si],yR.

    For the convenience, we also assume that Mi:=supt[ti,si]ηi(t)<, and K:=max{Lhi}<1, such that for all i=1,2,,m. Then the system (1.3) has at least one solution.

    Proof. For each r>0, let us consider two operators P and Q on Bα,r={yPC([0,T],R):yPCr} such as

    (Py)(t)={0,t[0,t1],Hi(t,y(t)),t(ti,si],i=1,2,,m,Hi(si,y(si)),t(si,ti+1],i=0,1,2,,m.

    and

    (Qy)(t)={μψ0(ψs)αq1Γ(αq)f(s,y(s))dst0(ts)α1Γ(α)f(s,y(s))ds,t[0,t1],0,t(ti,si],i=1,2,,m,si0(sis)α1Γ(α)f(s,y(s))dst0(ts)α1Γ(α)f(s,y(s))ds,t(si,ti+1],i=0,1,2,,m.

    For better readability, we break the proof into a sequence of following steps.

    Step 1. Under the assumption (A2), we prove that Py+QyBα,r.

    Case 1. For t[0,t1], we get

    |(Py+Qy)(t)|μψ0(ψs)αq1Γ(αq)|f(s,y(s))|ds+t0(ts)α1Γ(α)|f(s,y(s))|ds[μLfψαqΓ(αq+1)+LfTαΓ(α+1)](1+r)r.

    Case 2. For each t(ti,si], we have

    |(Py+Qy)(t)||Hi(t,y(t))|Mir.

    Case 3. For each t(si,ti+1], we obtain

    |(Py+Qy)(t)||Hi(si,y(si))|+si0(sis)α1Γ(α)|f(s,y(s))|ds+t0(ts)α1Γ(α)|f(s,y(s))|dsMi+[Lf(sαi+tαi+1)Γ(α+1)](1+r)r.

    So, we infer that Py+QyBα,r.

    Step 2. By using the condition (A1), we show that P is contraction on Bα,r. Let y1,y2Bα,r, we have

    Case 1. For t[0,t1], we occur

    |Py1(t)Py2(t)|0. (3.2)

    Case 2. For t(ti,si], we find

    |Py1(t)Py2(t)||Hi(t,y1(t))Hi(t,y2(t))|Lhiy1y2PC. (3.3)

    Case 3. For t(si,ti+1], we obtain

    |Py1(t)Py2(t)||Hi(si,y1(si))Hi(si,y2(si))|Lhiy1y2PC. (3.4)

    From the above inequalities (3.2), (3.3) and (3.4), we find

    Py1(t)Py2(t)PCKy1y2PC.

    Hence P is a contraction on Bα,r.

    Step 3. In this step, we show that Q is continuous. Let yn be any convergent sequence such that yny in PC([0,T],R).

    Case 1. For each t[0,t1], we have

    |Qyn(t)Qy(t)|μψ0(ψs)αq1Γ(αq)|f(s,yn(s))f(s,y(s))|ds+t0(ts)α1Γ(α)|f(s,yn(s))f(s,y(s))|ds[μψαqΓ(αq+1)TαΓ(α+1)]f(.,yn(.))f(.,y(.))PC.

    Case 2. For each t(ti,si], we obtain

    |Qyn(t)Qy(t)|0.

    Case 3. For each t(si,ti+1], we occur

    |Qyn(t)Qy(t)|si0(sis)α1Γ(α)|f(s,yn(s))f(s,y(s))|ds+t0(ts)α1Γ(α)|f(s,yn(s))f(s,y(s))|dssαi+tαi+1Γ(α+1)f(.,yn(.))f(.,y(.))PC.

    Thus, we conclude from the above cases that QynQyPC0 as n.

    Step 4. Finally by using the assumption (A2), we show that Q is compact. Since QyPCLfTΓ(α+1)(1+r)<r, so that we can say Q is uniformly bounded on Bα,r. Therefore, it remains to prove that Q maps bounded set into equicontinuous set of Bα,r.

    Case 1. For each t[0,t1],0E1E2t1,yBα,r, we obtain

    |Qy(E2)Qy(E1)|E10(E1s)α1(E2s)α1Γ(α)|f(s,y(s))|dsE2E1(E2s)α1Γ(α)|f(s,y(s))|ds,{Lf(1+r)Γ(1+α){(Eα2Eα1)+2(E1E2)α},0<α<1,Lf(1+r)Γ(α+1)(Eα1Eα2),α1.

    Case 2. For each t(ti,si],ti<E1<E2si,yBα,r, we have

    |Qy(E2)Qy(E1)|=0.

    Case 3. For each t(si,ti+1],si<E1<E2ti+1,yBα,r, we establish

    |Qy(E2)Qy(E1)|{Lf(1+r)Γ(1+α){(Eα2Eα1)+2(E1E2)α},0<α<1,Lf(1+r)Γ(α+1)(Eα1Eα2),α1.

    From the above estimation, we observe that |Qy(E2)Qy(E1)|0 as E2E1. So the operator Q is equicontinuous.

    Hence, we can say that Q:Bα,rBα,r is continuous and completely continuous. With the statement of Krasnoselskii's fixed point theorem [13], we explore that F=P+Q has atleast a fixed point on [0,T]. The proof is complete.

    3.3 Existence result via Nonlinear Alternative of Leray-Schauder type fixed point theorem:

    Theorem 3.3. Assume that

    (A4) There exist SfL1([0,T],R+),ShiL1([ti,si],R+) and the continuous nondecreasing functions ω,ω:[0,)[0,) such that

    |f(t,y)|Sf(t)ω(|y|),(t,y)[0,T]×R,

    and

    |hi(t,y)|Shi(t)ω(|y|),(t,y)(ti,si]×R.

    (A5) There exist a number M>0 such that

    Mω(M)ShiL1+ω(M)SfL1max(μψαqΓ(αq+1)+TαΓ(α+1),maxi=1,2,,m(siα+tαi+1)Γ(α+1))>1,

    satisfy.

    Then the system (1.3) has at least one solution on [0,T].

    Proof. For the proof of this result first we consider an operator F defined as in (3.1) and rest of the part is divided in the following steps.

    Step 1. In starting, we show that F maps bounded sets (balls) into bounded sets in PC([0,T],R) sothat we consider a ball Bα,r defined in Theorem 3.2 then by the axiom (A4), we have

    Case 1. For each t[0,t1], we find

    |(Fy)(t)|μψ0(ψs)αq1Γ(αq)|f(s,y(s))|ds+t0(ts)α1Γ(α)|f(s,y(s))|dsSf(s)ω(yPC)[μψαqΓ(αq+1)+TαΓ(α+1)]ω(r)SfL1[μψαqΓ(αq+1)+TαΓ(α+1)].

    Case 2. For t(ti,si], we get

    |(Fy)(t)|=|Hi(t,y(t))|Shi(t)ω(yPC)ω(r)ShiL1.

    Case 3. For t(si,ti+1], we obtain

    |(Fy)(t)||Hi(si,y(si))|+si0(sis)α1Γ(α)|f(s,y(s))|ds+t0(ts)α1Γ(α)|f(s,y(s))|dsShi(si)ω(yPC)+Sf(s)ω(yPC)siαΓ(α+1)+Sf(s)ω(yPC)tαi+1Γ(α+1)ω(r)ShiL1+ω(r)SfL1(sαi+tαi+1)Γ(α+1).

    Step 2. Now, we shall show that F maps bounded sets into equicontinuous sets of PC([0,T],R). Let k1,k2[0,T] with k1<k2 and yBα,r then under the condition (A4), we need to discuss the following cases

    Case 1. For t[0,t1], we have

    |(Fy)(k2)(Fy)(k1)|k20(k2s)α1Γ(α)|f(s,y(s))|ds+k10(k1s)α1Γ(α)|f(s,y(s))|dsk10(k2s)α1+(k1s)α1Γ(α)|f(s,y(s))|ds+k2k1(k2s)α1Γ(α)|f(s,y(s))|dsω(r)Γ(α)[k10(k2s)α1+(k1s)α1Sf(s)ds+k2k1(k2s)α1Sf(s)ds].

    Case 2. For t(ti,si], we get

    |(Fy)(k2)(Fy)(k1)|=|Hi(k2,y(k2))Hi(k1,y(k1))|.

    Case 3. For t(si,ti+1], we obtain

    |(Fy)(k2)(Fy)(k1)|ω(r)Γ(α)[k10(k2s)α1+(k1s)α1Sf(s)ds+k2k1(k2s)α1Sf(s)ds].

    As k1k2, the right-hand side of above inequalities in Step 2 tends to zero independently of yBα,r. Hence, by the Arzel�-Ascoli theorem the operator F:PC([0,T],R)PC([0,T],R) is completely continuous.

    Step 3. In this last step of the proof, we show that F has a fixed point in ¯E. Let y=κFy for some κ(0,1) then from the conditions (A4) and (A5), we conclude that

    Case 1. For t[0,t1], we have

    |y|=|κFy|ω(yPC)SfL1[μψαqΓ(αq+1)+TαΓ(α+1)],

    which implies that

    yPCω(yPC)SfL1[μψαqΓ(αq+1)+TαΓ(α+1)]1.

    Case 2. For t(ti,si], we get

    |y|=|κFy|ω(yPC)ShiL1,

    which implies that

    yPCω(yPC)ShiL11.

    Case 3. For t(si,ti+1], we obtain

    |y|=|κFy|ω(yPC)ShiL1+ω(yPC)SfL1(siα+tαi+1)Γ(α+1),

    which implies that

    yPCω(yPC)ShiL1+ω(yPC)SfL1(siα+tαi+1)Γ(α+1)1.

    According to the assumed condition (A5), we know that there exist M such that MyPC and let

    E={yPC([0,T],R):yPC<M}. (3.5)

    Thus, we observe that the operator F:¯EPC([0,T],R) is continuous and completely continuous. There is no yE such that y=κFy for some κ(0,1) with the choice of E. Therefore, by the nonlinear alternative of Leray-Schauder type Theorem 2.3, we deduce that F has a fixed point y¯E which is a solution of (1.3). The proof is complete.


    4. Example

    We consider the following example to verify the uniqueness result:

    {D14u(t)=|u(t)|(1+et),t(0,1](2,3],u(t)=|u(t)|2(1+|u(t)|),t(1,2],u(0)=3D12u(12), (4.1)

    Here, we have α=14,t[0,3],0=s0<t1=1<s1=2<t2=3,f(t,u(t))=|u(t)|(1+et) and h1(t,u(t))=|u(t)|2(1+|u(t)|). Let u1,u2R and t(0,1](2,3], we obtain |f(t,u1)f(t,u2)|12|u1u2|. Let u1,u2R and t(1,2], we get |h1(t,u1)h1(t,u2)|12|u1u2|. Moreover, we have L=12,μ=.25,ψ=12,q=12. We determine that

    μLψαqΓ(αq+1)+LTαΓ(α+1)<1.

    or

    maxi=1,2,,mLhi+L(tαi+1+sαi)Γ(α+1)<1.

    Since all the assumptions of Theorem 3.1 are satisfied so that the system 4.1 has a unique solution on [0,3].


    Conflict of Interest

    All authors declare no conflicts of interest in this paper.


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