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A study on the existence results of boundary value problems of fractional relaxation integro-differential equations with impulsive and delay conditions in Banach spaces

  • The aim of this paper was to provide systematic approaches to study the existence of results for the system fractional relaxation integro-differential equations. Applied problems require definitions of fractional derivatives, allowing the utilization of physically interpretable boundary conditions. Impulsive conditions serve as basic conditions to study the dynamic processes that are subject to sudden changes in their state. In the process, we converted the given fractional differential equations into an equivalent integral equation. We constructed appropriate mappings and employed the Schaefer's fixed-point theorem and the Banach fixed-point theorem to show the existence of a unique solution. We presented an example to show the applicability of our results.

    Citation: Saowaluck Chasreechai, Sadhasivam Poornima, Panjaiyan Karthikeyann, Kulandhaivel Karthikeyan, Anoop Kumar, Kirti Kaushik, Thanin Sitthiwirattham. A study on the existence results of boundary value problems of fractional relaxation integro-differential equations with impulsive and delay conditions in Banach spaces[J]. AIMS Mathematics, 2024, 9(5): 11468-11485. doi: 10.3934/math.2024563

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  • The aim of this paper was to provide systematic approaches to study the existence of results for the system fractional relaxation integro-differential equations. Applied problems require definitions of fractional derivatives, allowing the utilization of physically interpretable boundary conditions. Impulsive conditions serve as basic conditions to study the dynamic processes that are subject to sudden changes in their state. In the process, we converted the given fractional differential equations into an equivalent integral equation. We constructed appropriate mappings and employed the Schaefer's fixed-point theorem and the Banach fixed-point theorem to show the existence of a unique solution. We presented an example to show the applicability of our results.



    This paper concerns the existence and uniqueness of a solution for the following impulsive fractional relaxation and integro-differential equations with delay conditions

    {Dε LCDϖy(r)+λy(r)=P(r,yr,Iϑy(r)), r[0,]=, rrk, λ,Δy(rk)=˜Ik(y(rk)), k=1,2,...,n,y(r)=ρ(r), r(,0],LCDϖy(0)=LCDϖy()=0, y(0)=0ysds+1, ,1, (1.1)

    where ε and ϖ are the fractional derivative order of R-L fractional derivative Dε and L-C fractional derivative LCDϖ, 1<ε<2, ϑ(0,1) is order of R-L fractional integral Iϑ and P:×× is a nonlinear continuous function. ˜Ik:, the jump of y at r=rk is denoted by Δy(rk)=y(r+k)y(rk), the right limit of y(r) at r=rk is y(r+k) and the left limit of y(r) at r=rk is y(rk), k=1,2,...,n. ˉCo:=ˉCo((,0],) is the space of continuous functions.

    We describe yr by

    yr(s)=y(r+s) where r, and <s0.

    Here, yr(.) portrays the state's history variance from time r to r.

    Differential equations with delay involve systems in which the future state not only depends on the current but also on the past state. Reforestation is a straightforward example found in nature. After being replanted, a cut forest will take at least 20 years to reach any kind of maturity; this could be much longer for some species of trees (redwoods, for instance). Therefore, it is obvious that time delays must be included in any mathematical model (refer [1,2] for similar applications). In a study by Bouriah and colleagues [3], they briefly explored the presence and stability of fractional differential equations that incorporate both delay and impulse conditions. In another work [4], X. Ma et al. delved into the existence of nearly periodic solutions for fractional impulsive neutral stochastic differential equations with extended delay. These differential equations are currently a popular area of research and find wide application as mathematical models in real-world scenarios, as evidenced in the book [5]. Additionally, Wattanakejorn et al. [6] conducted research into the existence of solutions for relaxation differential equations that include impulsive delay boundary conditions.

    Fractional calculus has been widely used in many fields of applied science and engineering. For example, it has been used in systems biology, physics, chemistry, and biochemistry. Fractional-order models can reflect the complex behaviors of various diseases more accurately and deeply than classical integer-order models. Fractional-order systems are better than integer-order systems because they contain the genetic characteristics of memory (see reference [7,8,9]). Substantial growth has been achieved in the concept of fractional derivatives and its applications in current history, as evidenced by the references [10,11,12,13]. In [14], the authors examined the study of a multi-term time-fractional delay differential system with monotonic conditions. Aissani and Benchohra [15] discussed fractional integro-differential equations with state-dependent delay. Kaliraj and colleagues [16] investigated the existence of results for a nonlocal neutral fractional differential equation using the concept of the Caputo derivative with impulsive conditions. In [17], the authors analyzed existence and stability results for impulsive fractional integro-differential equations with integral boundary conditions.

    Nonetheless, differential equations with impulse conditions have attracted a lot of interest. For instance, impulsive effects are known to occur in many biological phenomena involving thresholds, bursting rhythm models in biology and medicine, optimal control models in economics, pharmacokinetics, and frequency-modulated systems. For example, in [18] the authors explored the efficacy of activated charcoal in detoxifying a body suffering from methanol poisoning by using impulsive conditions. In [19], Karthikeyan and others investigated the impulsive fractional integro-differential equations with boundary conditions. Zeng [20] examined the existence results for fractional impulsive delay feedback control systems with caputo fractional derivatives. The authors in [21] discussed the existence and uniqueness of a nonlocal fractional differential equation of Sobolev type with impulses. Liu et al. [22] discussed the existence of positive solutions for the ϕ-Hilfer fractional differential equation with random impulses and boundary value conditions. In [23], Shu et al. studied the mild solution of impulsive fractional evolution equations.

    In [24], the authors studied the existence and uniqueness of positive solutions of the given non-linear fractional relaxation differential equation

    {LCDαϰ(t)+λϰ(t)=f(t,ϰ(t)),0<t1,ϰ(0)=ϰ0>0,

    where LCDα is the Liouville-Caputo fractional derivative, α(0,1]. By using the fixed-point theorems and the method of the lower and upper solutions, the existence and uniqueness of solutions have been examined.

    A. Lachouri, A. Djoudi, and A. Ardjouni[25] discussed the existence and uniqueness of solutions for the below fractional relaxation integro-differential equations with boundary conditions

    {Dβ LCDαϰ(t)+λϰ(t)=f(t,ϰ(t),Irϰ(t)), λR,0<t<T,LCDαϰ(0)=LCDαϰ(T)=0,ϰ(0)=aT0ϰsds+b,a,bR,

    where LCDα and Dβ are Liouville-Caputo (L-C) fractional derivative and the Riemann-Liouville (R-L) fractional derivative of orders α and β, respectively, α(0,1), β(1,2), Ir is the Riemann-Liouville fractional integral of order r(0,1), and f:[0,T]×R×RR is a nonlinear continuous function.

    Motivated by the above works, we studied the existence and uniqueness of solutions for Eq 1.1. In this system, we included the impulse condition and infinite delay for integro-fractional differential equations with integral boundary conditions. Main results are proved by using Schaefer's and Banach fixed- point theorems.

    The paper is structured as follows: Some fundamental terms and preliminary facts are given in Section 2. In Section 3, we discuss the existence and uniqueness of the main problem. An example is given in Section 4 to highlight the theoretical findings.

    This section presents some terminologies and results connected to fractional calculus.

    Let (,.) be the seminormed linear space of functions mapping from (,0] to , let ˉCo()=¯Co(,) denote the Banach space of continuous functions provided with the norm y:=sup{|y(r)|:r[0,]}, where :=[0,] and consider the space ~PCo([0,],)={y:[0,]:yˉCo((rk,rk+1],), k=0,....,n, and there exists y(rk) and y(r+k), k=1,...,n,with y(rk)=y(rk)} equipped with the norm y~PCo=supr[0,]|y(r)|. Consider the space b={y:(,]y~PCo(,)}. AC() is the space of absolutely continuous valued functions from to , and set ACm()={y::y,y,y,,ym1ˉCoandym1AC()}.

    Consider (,.) fulfilling the underlying axioms listed below,

    (A1) If y:(,] and y0, then K,H,M>0, are constants such that for any r the subsequent conditions retain:

    yr is in , and yr is continuous on [0,){r1,r2,...,rm},

    yrKy1+Msups[0,t]|y(s)|,

    y(r)Hyr.

    (A2) yr is a valued continuous function on , for the function y(.) in (A1),

    (A3) 's space is complete.

    Definition 2.1. [26] ho: is function with fractional integral order ϖ, ϖ>0 is specified by

    Iϖho(r)=1Γ(ϖ)r0(rs)ϖ1ho(s)ds,

    given the integral exists.

    Definition 2.2. [26] ho: is with L-C fractional derivative order ϖ, ϖ>0 is specified by

    LCDϖho(r)=Dϖ[ho(r)m1j=0ho(j)(0)j!rj],

    where

    m=1+[ϖ]forϖN0,m=ϖforϖN0, (2.1)

    and Dϖ0+ is a R-L fractional derivative of order ϖ specified by

    Dϖho(r)=DmImϖho(r)=1Γ(nϖ)dmdrmr0(rs)mϖ1ho(s)ds.

    The L-C fractional derivative LCDϖ0+ exists for yACm(). Here, it is denoted by

    LCDϖho(r)=Imϖy(m)(r)=1Γ(nϖ)r0(rs)mϖ1ho(m)(s)ds.

    Note that we obtain, LCDϖho(r)=ho(m)(r) whenever ϖ=m.

    Lemma 2.1. [26] Assume ϖ>0 and m be the provided by (2.1). If hoACm(,), then

    (IϖLCDϖho)(r)=ho(r)m1j=0ho(j)(0)j!rj,

    where ho(j) is the normal derivative of ho of order j.

    Lemma 2.2. [26] For ϖ>0 and m be provided by (2.1), then the general solution of the L-C fractional differential equation LCDϖho(r)=0 is

    ho(r)=b0+b1r+b2r2+...+bm1rm1,

    where bk, k=0,1,2,...,m1. Additionally, the general solution of the R-L fractional differential equation

    Dϖho(r)=0,

    is

    ho(r)=b1rϖ1+b2rϖ2+b3rϖ3+...+bmrϖm,bk,k=1,2,...,m.

    Lemma 2.3. [26] For any 0ϖ, ε< and, then

    1Γ(ϖ)r0(rs)ε1sϖ1ds=Γ(ε)Γ(ϖ+ε)rϖ+ε1.

    Lemma 2.4. [3] (Banach contraction mapping theorem) Let Θ be a non-empty subset of a Banach space (E,), which is convex and closed, and ϕ:ΘΘ be an any contraction mapping, then has a unique fixed point.

    Lemma 2.5. [3] (Schaefer's fixed-point theorem) Let E be a Banach space and ϕ:EE be a completely continuous operator. If the set A={yE:y=λϕy, for some λ(0,1)} is bounded. Then, the operator has a fixed point.

    Lemma 2.6. [3] (Arzela-Ascoli theorem) Let A~PCo(,). A is relatively compact if: (i) A is uniformly bounded, i.e., there exists M>0 such that

    |f(x)|<Mfor everyfAandx(tk,tk+1),k=1,...,m.

    (ii) A is equicontinuous on (tk,tk+1) i.e., for every ϵ>0, there exists δ>0 such that for each, x,ˉx(tk,tk+1), |xˉx|δ implies |f(x)f(ˉx)|ϵ, for every fA.

    Lemma 2.7. (Lebesgue Dominated Convergence Theorem) Suppose g is Lebesgue integrable on E. The sequence fn of measurable functions satisfies: (i). |fn|g a.e. on E for nN (ii). fnf a.e. on E. Then, fL(E) and limnEfndx=Efdx.

    Lemma 2.8. [25] For any hoˉCo(), then the problem

    Dε LCDϖy(r)+λy(r)=ho(r), rrk, r[0,], λ,LCDϖy(0)=LCDϖy()=0, y(0)=0ysds+1, ,1,

    is identical to the integral equation

    y(r)=1Γ(ϖ+ε)(r0(rυ)ϖ+ε1ho(υ)dυλr0(rυ)ϖ+ε1yυdυ)rε+ϖ1ε1Γ(ε+ϖ)(0(υ)ε1ho(υ)dυλ0(υ)ε1yυdυ)+0yυdυ+1.

    Proof. Taking the integrator operator Iε to the above first equation and from Lemma 2.2, we get

    LCDϖy(r)=Iεho(r)λIεy((r))+a1rε1+a2rε2. (2.2)

    According to conditions LCDϖy(0)=LCDϖy()=0, it yields

    a1=1ε1(λIεy()Iεho()), a2=0.

    Replacing a1 and a2 by their values in (3), we get

    LCDϖy(r)=Iεho(r)λIεy(r)+rε1ε1(λIεy()Iεho()). (2.3)

    Taking the integrator operator Iϖ again to the above equation and using Lemmas 2.2 and 2.3, we obtain

    y(r)=Iϖ+εho(r)λIϖ+εy(r)+Γ(ε)rε+ϖ1ε1Γ(ε+ϖ)(Iεho()λIεy())+a3, (2.4)

    using the integral condition, we find

    a3=0ysds+1.

    Substituting the value of a3, we obtain the integral equation.

    Lemma 2.9. [25] For any hoˉCo(), then the problem

    {Dε LCDϖy(r)+λy(r)=ho(r), rrk, r[0,], λ,Δy(rk)=˜Ik(y(rk)), k=1,2,...,n,y(r)=ρ(r), <r0,LCDϖy(0)=LCDϖy()=0, y(0)=0ysds+1, ,1, (2.5)

    is identical to the integral equation

    {ρ(r); r(,0]1Γ(ϖ+ε)(r0(rυ)ϖ+ε1ho(υ)dυλr0(rυ)ϖ+ε1yυdυ)rε+ϖ1ε1Γ(ε+ϖ)(0(υ)ε1ho(υ)dυλ0(υ)ε1yυdυ)+0yυdυ+1 if r[0,r1]1Γ(ϖ+ε)ki=1(riri1(riυ)ϖ+ε1ho(υ)dυλriri1(riυ)ϖ+ε1yυdυ)+1Γ(ϖ+ε)(rrk(rυ)ϖ+ε1ho(υ)dυλrrk(rυ)ϖ+ε1yυdυ)rε+ϖ1ε1Γ(ε+ϖ)(0(υ)ε1ho(υ)dυλ0(υ)ε1yυdυ)+0yυdυ+1+mk=1˜Ik(y(rk)) if r(rk,rk+1]. (2.6)

    We require the following hypothesis:

    (H1) Take the constants k1>0, k2(0,1) such that

    |P(r,y,y1)P(r,y,y1)|k1yy+k2|y1y1|,

    for any r, for each y,y i=1,2, and  y1,y1 .

    (H2) Consider the constants K1>0 and 0<K2<1 such that

    |P(r,y,y)|K1y+K2|y|,

    for each r, for any y and y.

    (H3) There exists >0 such that

    |˜Ik(y)˜Ik(y)|yy,  y,y with k=1,2,...,n.

    Theorem 3.1. Assume (H1) and (H3) holds. If <1, then Eq (1.1) has a solution that is unique on (,].

    Where

    =((n+1)Γ(ϖ+ε+1)+1εΓ(ϖ+ε))ϖ+ε[k1+k2HθΓ(θ+1)+|λ|]+n.

    Proof. Indicate the operator Π:bb as

    (Πy)(r)={ρ(r); r(,0]1Γ(ϖ+ε)ki=1(riri1(riυ)ϖ+ε1P(υ,yυ,Iθy(υ))dυλriri1(riυ)ϖ+ε1yυdυ)+1Γ(ϖ+ε)(rrk(rυ)ϖ+ε1P(υ,yυ,Iθy(υ))dυλrrk(rυ)ϖ+ε1yυdυ)rε+ϖ1ε1Γ(ε+ϖ)(0(υ)ε1P(υ,yυ,Iθy(υ)))dυλ0(υ)ε1yυdυ)+0yυdυ+1+mk=1˜Ik(y(rk)) if r(rk,rk+1]. (3.1)

    Let ˜z(.):(,] be a function indicated by

    ˜z(r)={ρ(r);  r(,0],0yυdυ+1;  r. (3.2)

    Then ˜z0=ρ, uC(), with u(0)=0, define the function ˜u as

    ˜u={0;  <r0,u(r);  r. (3.3)

    If y(.) fulfills the integral equation

    y(r)=1Γ(ϖ+ε)ki=1(riri1(riυ)ϖ+ε1P(υ,yυ,Iθy(υ))dυλriri1(riυ)ϖ+ε1yυdυ)+1Γ(ϖ+ε)(rrk(rυ)ϖ+ε1P(υ,yυ,Iθy(υ))dυλrrk(rυ)ϖ+ε1yυdυ)rε+ϖ1ε1Γ(ε+ϖ)(0(υ)ε1P(υ,yυ,Iθy(υ))dυλ0(υ)ε1yυdυ)+0yυdυ+1+mk=1˜Ik(y(rk)). (3.4)

    We can decompose y(.) as y(r)=˜u(r)+˜z(r); for r, which shows that yr=˜ur+˜zr for all r, and u(.) fulfills

    u(r)=1Γ(ϖ+ε)ki=1(riri1(riυ)ϖ+ε1ho(υ)dυλriri1(riυ)ϖ+ε1yυdυ)+1Γ(ϖ+ε)(rrk(rυ)ϖ+ε1ho(υ)dυλrrk(rυ)ϖ+ε1yυdυ)rε+ϖ1ε1Γ(ε+ϖ)(0(υ)ε1ho(υ)dυλ0(υ)ε1yυdυ)+nk=1˜Ik(y(rk)), (3.5)

    where

    ho(r)=P(r,˜ur+˜zr,Iθ(˜u(r)+˜z(r)), yr=˜ur+˜zr and ˜Ik(y(rk))=˜Ik(˜u(rk)+˜z(rk)).

    Let Λ0 be the Banach space

    Λ0={uC(); u0=0}.

    The norm . in Λ0 is denoted by

    uT=u0+supr|u(r)|=supr|u(r)|; uΛ0.

    Denote the operator Υ:Λ0Λ0 by

    (Υu)(r)=1Γ(ϖ+ε)ki=1(riri1(riυ)ϖ+ε1ho(υ)dυλriri1(riυ)ϖ+ε1yυdυ)+1Γ(ϖ+ε)(rrk(rυ)ϖ+ε1ho(υ)dυλrrk(rυ)ϖ+ε1yυdυ)rε+ϖ1ε1Γ(ε+ϖ)(0(υ)ε1ho(υ)dυλ0(υ)ε1yυdυ)+mk=1˜Ik(y(rk)). (3.6)

    As a result, the operators Π and Υ have a fixed point, that are equivalent. Now, we shall show that Υ:Λ0Λ0 is a contraction map.

    Take u,uΛ0, then  r,

    |Υ(u)(r)Υ(u)(r)||1Γ(ϖ+ε)ki=1(riri1(riυ)ϖ+ε1ho(υ)dυλriri1(riυ)ϖ+ε1yυdυ)1Γ(ϖ+ε)ki=1(riri1(riυ)ϖ+ε1g(υ)dυλriri1(riυ)ϖ+ε1ˉyυdυ)|+|1Γ(ϖ+ε)(rrk(rυ)ϖ+ε1ho(υ)dυλrrk(rυ)ϖ+ε1yυdυ)1Γ(ϖ+ε)(rrk(rυ)ϖ+ε1g(υ)dυλrrk(rυ)ϖ+ε1ˉyυdυ)|+|rε+ϖ1ε1Γ(ε+ϖ)(0(υ)ε1ho(υ)dυλ0(υ)ε1yυdυ)rε+ϖ1ε1Γ(ε+ϖ)(0(υ)ε1g(υ)dυλ0(υ)ε1ˉyυdυ)|+|mk=1˜Ik(y(rk))mk=1˜Ik(ˉy(rk))|=G1+G2+G3+G4,

    where ho,gˉCo() like that

    ho(r)=P(r,˜ur+˜zr,Iθ(˜u(r)+˜z(r))) and g(r)=P(r,~ur+˜zr,Iθ(~u(r)+˜z(r))).

    From (H1), we get

    |ho(r)g(r)|=|P(r,˜ur+˜zr,Iθ(˜u(r)+˜z(r)))P(r,~ur+˜zr,Iθ(~u(r)+˜z(r)))|[k1+k2HθΓ(θ+1)]˜ur~ur
    yrˉyr=˜ur+˜zr~ur˜zr=˜ur~ur

    and

    |˜Ik(y(rk))˜Ik(ˉy(rk))|=|˜Ik(˜u(rk)+˜z((rk)))˜Ik(~u(rk)+˜z((rk)))|m˜ur~ur.

    Here,

    G1=|1Γ(ϖ+ε)ki=1(riri1(riυ)ϖ+ε1ho(υ)dυλriri1(riυ)ϖ+ε1yυdυ)1Γ(ϖ+ε)ki=1(riri1(riυ)ϖ+ε1g(υ)dυλriri1(riυ)ϖ+ε1ˉyυdυ)|1Γ(ϖ+ε)0<rk<rrkrk1(rkυ)ϖ+ε1|ho(υ)g(υ)|dυ+1Γ(ϖ+ε)|λ|0<rk<rrkrk1(rkυ)ϖ+ε1|yυˉyυ|dυϖ+εmΓ(ϖ+ε+1)[k1+k2HθΓ(θ+1)]˜ur~ur+|λ|mΓ(ϖ+ε+1)˜ur~ur.
    G2=|1Γ(ϖ+ε)(rrk(rυ)ϖ+ε1ho(υ)dυλrrk(rυ)ϖ+ε1yυdυ)1Γ(ϖ+ε)(rrk(rυ)ϖ+ε1g(υ)dυλrrk(rυ)ϖ+ε1ˉyυdυ)|+1Γ(ϖ+ε)rrm(rυ)ϖ+ε1|ho(υ)g(υ)|dυ+1Γ(ϖ+ε)|λ|rrm(rυ)ϖ+ε1|yυˉyυ|dυ+ϖ+εΓ(ϖ+ε+1)[k1+k2HθΓ(θ+1)]˜ur~ur+|λ|Γ(ϖ+ε+1)˜ur~ur.
    G3=|rε+ϖ1ε1Γ(ε+ϖ)(0(υ)ε1ho(υ)dυλ0(υ)ε1yυdυ)rε+ϖ1ε1Γ(ε+ϖ)(0(υ)ε1g(υ)dυλ0(υ)ε1ˉyυdυ)|rε+ϖ1ε1Γ(ε+ϖ)0(υ)ε1|ho(υ)g(υ)|dυ+rε+ϖ1ε1Γ(ε+ϖ)|λ|0(υ)ε1|yυˉyυ|dυε+ϖεΓ(ε+ϖ)[k1+k2HθΓ(θ+1)]˜ur~ur+ε+ϖεΓ(ε+ϖ)|λ|˜ur~ur.
    G4=|mk=1˜Ik(y(rk))mk=1˜Ik(ˉy(rk))|mk=1|˜Ik(y(rk))˜Ik(ˉy(rk))|n˜ur~ur.

    Thus,  r, by using G1,G2,G3,G4 we get

    |Υ(u)(r)Υ(u)(r)|ϖ+εmΓ(ϖ+ε+1)[k1+k2HθΓ(θ+1)]˜ur~ur+|λ|mΓ(ϖ+ε+1)˜ur~ur+ϖ+εΓ(ϖ+ε+1)[k1+k2HθΓ(θ+1)]˜ur~ur+|λ|Γ(ϖ+ε+1)˜ur~ur+ε+ϖεΓ(ε+ϖ)[k1+k2HθΓ(θ+1)]˜ur~ur+ε+ϖεΓ(ε+ϖ)|λ|˜ur~ur+n˜ur~ur[((1+n)Γ(ϖ+ε+1)+1εΓ(ϖ+ε))ϖ+ε(k1+k2HθΓ(θ+1)+|λ|)+n]˜ur~ur˜ur~ur[((1+n)Γ(ϖ+ε+1)+1εΓ(ϖ+ε))ϖ+ε(k1+k2HθΓ(θ+1)+|λ|)+n]˜ur~ur˜u~u.

    Thus

    |Υ(u)(r)Υ(u)(r)|˜u~u.

    From (3.1), Π is a contraction. The unique solution for the problem (1.1) is the fixed point of the operator Π, according to the Banach contraction theorem. The proof is now complete.

    Theorem 3.2. Consider the hypotheses (H1) and (H2) are hold. If

    {(ϖ+ε(n+1)Γ(ϖ+ε+1)+ϖ+εεΓ(ϖ+ε))[K1+K2HθΓ(θ+1)+|λ|]+n}(MˉP+Kρ)<1,

    then (1.1) has at least one solution on (,].

    Proof. Consider Υ:Λ0Λ0.

    Consider ˉP>0 and

    ˉPmax{ρˉCo(~PCo,R)||+|1|+n1[((n+1)Γ(ϖ+ε+1)+1εΓ(ϖ+ε))ϖ+ε(K1+K2HθΓ(θ+1)+|λ|)]}.

    Denote the ball

    BˉP={yˉCo(,), yˉP}.

    Here, the operator Υ:BˉPBˉP fulfills all conditions of Lemma 2.3. The proof would be presented in few steps.

    Step 1 : Υ is continuous.

    Take the sequence um such that umu in BˉP.  r, we have

    Υ(um)(r)Υ(u)(r)1Γ(ϖ+ε)0<rk<rrkrk1(rkυ)ϖ+ε1|hom(υ)ho(υ)|dυ+1Γ(ϖ+ε)rrm(rυ)ϖ+ε1|hom(υ)ho(υ)|dυ+1Γ(ϖ+ε)|λ|0<rk<rrkrk1(rkυ)ϖ+ε1|ymυyυ|dυ+1Γ(ϖ+ε)|λ|rrn(rυ)ϖ+ε1|ymυyυ|dυ+rε+ϖ1ε1Γ(ε+ϖ)0(υ)ε1|hom(υ)ho(υ)|dυ+tε+ϖ1ε1Γ(ε+ϖ)|λ|0(υ)ε1|ymυyυ|dυ+nk=1|˜Ik(ym(rk))˜Ik(y(rk))|,

    where hom,hoˉCo(,R) like that

    hom(r)=P(r,˜umr+˜zr,Iθ(˜um(r)+˜z(r))) and ho(r)=P(r,˜ur+˜zr,I(u(r)+˜z(r)),
    ymr=˜umr+˜zmr and yr=˜ur+˜zr.

    Here, ymyT0 as m and P,ho and hom are continuous then by the Lebesgue dominated convergence theorem

    Υ(um)Υ(u)0 as m.

    Hence, Υ is continuous.

    Step 2 : Υ(BˉP)BˉP.

    Consider yBˉP, r and from (H2), we get

    |ho(r)||P(r,˜ur+˜zr,Iθ(˜u(r)+˜z(r))|K1˜ur+˜zr+K2|Iθ(˜u(r)+˜z(r))|K1˜ur+K1˜zr+K2HθΓ(θ+1)˜u(r)+˜z(r)K1MˉP+K1Kρ+K2HθΓ(θ+1)[MˉP+Kρ][K1++K2HθΓ(θ+1)](MˉP+Kρ)

    then

    ho[K1+K2HθΓ(θ+1)](MˉP+Kρ)

    and

    |yr|=|˜ur+˜zr|(MˉP+Kρ).

    Thus,

    |(Υu)(r)|1Γ(ϖ+ε)0<rk<rrkrk1(rkυ)ϖ+ε1|ho(υ)|dυ+1Γ(ϖ+ε)|λ|0<rk<rrkrk1(rkυ)ϖ+ε1|yυ|dυ+1Γ(ϖ+ε)rrn(rυ)ϖ+ε1|ho(υ)|dυ+1Γ(ϖ+ε)|λ|rrn(rυ)ϖ+ε1|yυ|dυ+rε+ϖ1ε1Γ(ε+ϖ)0(υ)ε1|ho(υ)|dυ+rε+ϖ1ε1Γ(ε+ϖ)|λ|0(υ)ε1|yυ|dυ+nk=1|˜Ik(y(rk))|{(ϖ+ε(n+1)Γ(ϖ+ε+1)+ϖ+εεΓ(ϖ+ε))[K1+K2HθΓ(θ+1)+|λ|]+n}(MˉP+Kρ)ˉP.

    Hence,

    Υ(u)ˉP.

    Consequently, Π(BˉP)BˉP.

    Step 3 : Υ(BˉP) is equicontinuous.

    For 0rk1rk and yBˉP, we have

    |(Υu)(rk1)(Υu)(rk)|1Γ(ϖ+ε)0<rk<rrk10((rk1υ)ϖ+ε1(rkυ)ϖ+ε1)|ho(υ)|dυ+1Γ(ϖ+ε)0<rk<rrkrk1(rkυ)ϖ+ε1|ho(υ)|dυ+1Γ(ϖ+ε)rk10((rk1υ)ϖ+ε1(rkυ)ϖ+ε1)|ho(υ)|dυ+1Γ(ϖ+ε)rkrk1(rkυ)ϖ+ε1|ho(υ)|dυ+1Γ(ϖ+ε)|λ|0<rk<r(rk10(rk1υ)ϖ+ε1(rkυ)ϖ+ε1|yυ|dυ+rkrk1(rkυ)ϖ+ε1|yυ|dυ)+1Γ(ϖ+ε)|λ|(rk10(rk1υ)ϖ+ε1(rkυ)ϖ+ε1|yυ|dυ+rkrk1(rkυ)ϖ+ε1|yυ|dυ)+rε+ϖ12rε+ϖ11ε1Γ(ε+ϖ)(0(υ)ε1|ho(υ)|dυ+|λ|0(υ)ε1|yυ|dυ)+nk=1|˜Ik(y(rk))˜Ik(y(rk1))|[(rϖ+εkrϖ+εk1)(n+1)Γ(ϖ+ε+1)+(rε+ϖ1krε+ϖ1k1)εΓ(ε+ϖ)](K1+K2HθΓ(θ+1))+n(y(rk))(y(rk1)).

    |(Υu)(rk1)(Υu)(rk)|0 as rk1rk, this gives Π(BˉP) is equicontinuous. Π is completely continuous by steps 1 to 3 along with Arzela-Ascoli theorem.

    Step 4 : The priori bounds.

    We have to prove that the set

    ϵ={yΛ0:y=ςΥ(y); for some ς(0,1)}

    is bounded. Let uΛ0. Let yΛ0, such that u=ςΥ(u); for some ς(0,1). Then, for all r, we get

    u(r)=ς(Υu)(r)=ς{1Γ(ϖ+ε)ki=1riri1(riυ)ϖ+ε1ho(υ)dυ1Γ(ϖ+ε)ki=1λriri1(riυ)ϖ+ε1yυdυ+1Γ(ϖ+ε)rrk(rυ)ϖ+ε1ho(υ)dυ1Γ(ϖ+ε)λrrk(rυ)ϖ+ε1yυdυrε+ϖ1ε1Γ(ε+ϖ)0(υ)ε1ho(υ)dυ+rε+ϖ1ε1Γ(ε+ϖ)λ0(υ)ε1yυdυ+nk=1˜Ik(y(rk))}.|ho(r)||P(r,˜ur+˜zr,Iθ(˜u(r)+˜z(r))|[K++LHθΓ(θ+1)](MˉP+Kρ):=ψ.

    Thus,  r, we attain

    u(r)1Γ(ϖ+ε)ki=1riri1(riυ)ϖ+ε1|ho(υ)|dυ+1Γ(ϖ+ε)ki=1λriri1(riυ)ϖ+ε1|yυ|dυ+1Γ(ϖ+ε)rrk(rυ)ϖ+ε1|ho(υ)|dυ+1Γ(ϖ+ε)λrrk(rυ)ϖ+ε1|yυ|dυ+rε+ϖ1ε1Γ(ε+ϖ)0(υ)ε1|ho(υ)|dυ+rε+ϖ1ε1Γ(ε+ϖ)λ0(υ)ε1|yυ|dυ+nk=1|˜Ik(y(rk))|[n+1Γ(ϖ+ε+1)+1εΓ(ε+ϖ)]ψϖ+ε+nψ. (3.7)

    Hence,

    uψ.

    The set ϵ is bounded. As a result of Lemma 2.6, the operator Υ has at least one fixed point yBˉP, which is a solution of the problem (1.1) on (,].

    Remark 3.1. The study of the fractional relaxation differential equation with initial and boundary conditions has been developed by the authors (see reeferences [24,25]). They have proved the existence by using Krasnoselskii's fixed-point theorem and Schauder fixed-point theorem. In our paper, we developed the new system of fractional integro-relaxation differential equations, which include the impulse and delay term with integral boundary conditions, and also proved the existence and uniqueness of the same by using the Schaefer's and Banach fixed-point theorems.

    Consider the fractional relaxation impulsive integro-differential equation

    {D32 LCD12y(r)+14y(r)=P(r,y(r),I130y(r)), rrk r[0,1],Δy(rk)=˜Ik(y(rk)), k=1,2,...,n,y(r)=r: r(,0],LCD12y(0)=LCD12y(1)=0, y(0)=11010y(s)ds+2. (4.1)

    Let δ>0 be a real constant and

    Bδ={yˉCo((,0],,):limηeδηy(η) exists in R}.

    The norm Bδ is provided by

    yδ=supη(,0]eδηy(η).

    Here ϖ=12, λ=14, ε=32, =110, and 1=2.

    P(r,y(r),I130y(r))=sin(r)exp(r2)+7(190(|y(r)|+1)+|I130y(r)||1+I130y(r)|).

    For yi, i=1,2, we have

    |P(r,y1,y2)P(r,y1,y2)|=|sin(r)exp(r2)+7((190(|y1|+1)190(|y1|+1))+(|I130y2||1+I130y2||I130y2||1+I130y2|))|18(190y1y1Bδ+130|y2y2|).

    Hence, the hypothesis (H1) is fulfilled with l=1240, k=1720, =1, θ=130, n=1 & =12. Here K=M=H=1, indeed

    =[((n+1)Γ(ϖ+ε+1)+1εΓ(ϖ+ε))ϖ+ε(K1+K2HθΓ(θ+1)+|λ|)+n]=[((1+1)Γ(12+32+1)+132Γ(12+32))(1720+12401Γ(130+1)+14)+12]0.9249<1.

    The conditions of Theorem 3.1 are satisfied. It gives that the problem 4.1 has a solution, which is unique on (,1].

    In this paper, we focused on investigating the existence and uniqueness of results for fractional relaxation differential equations with boundary conditions. Here, we defined the integral operator and proved the continuous and completely continuous functions using Arezela-Ascoli's theorem and the Lebesgue dominated convergence theorem. Under some hypothesis and Schaefer's fixed-point theorem, we proved the existence results for the system. Banach fixed-point theorem was used to prove the uniqueness of the solution of the system. The derived results have been justified by providing a suitable example. In the future, the aforesaid analysis can be extended to state-dependent delay or include the stochastic process.

    The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.

    This research was funded by National Science, Research and Innovation Fund (NSRF), and King Mongkut's University of Technology North Bangkok with Contract No. KMUTNB-FF-66-54.

    The authors declare no conflicts of interest.



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