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Quantum Hermite-Hadamard and quantum Ostrowski type inequalities for s-convex functions in the second sense with applications

  • In this study, we use quantum calculus to prove Hermite-Hadamard and Ostrowski type inequalities for s-convex functions in the second sense. The newly proven results are also shown to be an extension of comparable results in the existing literature. Furthermore, it is provided that how the newly discovered inequalities can be applied to special means of real numbers.

    Citation: Suphawat Asawasamrit, Muhammad Aamir Ali, Hüseyin Budak, Sotiris K. Ntouyas, Jessada Tariboon. Quantum Hermite-Hadamard and quantum Ostrowski type inequalities for s-convex functions in the second sense with applications[J]. AIMS Mathematics, 2021, 6(12): 13327-13346. doi: 10.3934/math.2021771

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  • In this study, we use quantum calculus to prove Hermite-Hadamard and Ostrowski type inequalities for s-convex functions in the second sense. The newly proven results are also shown to be an extension of comparable results in the existing literature. Furthermore, it is provided that how the newly discovered inequalities can be applied to special means of real numbers.



    Jackson [25] introduced quantum calculus. Then, it was later developed by Al-Salam who started fitting the concept of q–fractional calculus [7]. Agarwal continued studying certain q–fractional integrals and derivatives [3]. Furthermore, some researchers have also studied q–difference equations (for more details, see [1,2,5,6,8,9,15,23,24,26,27,33,39,40]). On the one hand, fractional differential equations have gained a considerable importance due to their applications in various fields of sciences, such as physics, mechanics, chemistry, and engineering (see [17,18,19,20,21]). In [22], El-Sayed discussed a class of nonlinear functional differential equations of arbitrary orders, and Lakshmikantham [30] initiated the basic theory for fractional functional differential equations.

    In 1996, Delbosco et al. investigated Dβu(t)=(t,u) with initial condition: u(a)=η, where a>0, ηR and βJ:=(0,1) [16]. In 2005, Bai et al. presented the boundary problem:

    Dβ0u(t)=h(t,u(t)),

    under conditions: u(0)=u(1)=0, where tJ, 0<β2, and Dβ0 is the Riemann-Liouville standard derivative [11]. In 2008, Qiu et al. studied the equation with conditions: u(0)=u(1)=u(1)=0, where tJ, 2<β<3, Dβ0+ is the Caputo derivative and h:ˉJ×[0,)[0,), here ˉJ:=[0,1], is such that limt0+h(t,.)= [34]. In 2010, Agarwal et al. considered the singular fractional Dirichlet problem:

    Dβu(t)+h(t,u(t),Dγu(t))=0,

    with the boundary value condition: u(0)=u(1)=0, where β(1,2], γ>0, βγ1, hCar(ˉJ×(0,)×R), h is positive and singular at t=0, and D is the usual Riemann-Liouville derivative [4]. In 2012, Cabada et al. investigated the existence of positive solution for the following nonlinear fractional differential equation:

    {Dβu(t)=h(t,u(t))u(0)=u(1)=0,u(1)=10u(ξ)dξ,

    where 0<t<1, 2<β<3 and h:ˉJ×[0,)[0,) is a continuous function [13]. In 2014, Li reviewed the problem:

    CDβu(t)+h(t,u(t),Dγu(t))=0,

    for each tJ, under conditions: u(0)=u(0)=0 and u(1)=CDβu(1), where β(2,3), γJ, h:(0,1]×R2R is continuous function that may be singular at t=0, CDβ is the standard Caputo derivative [31]. In 2016, the fractional integro-differential equation

    Dγu(t)=h(t,u(t),u(t),Dαu(t),Iβu(t)),

    under conditions u(0)=u(η), u(1)=ν0u(ξ)dξ and u(i)(0)=0 for i=2,,[γ]1 was investigated, where tJ, γ[2,3), uˉB=C1(ˉJ), α,η,νJ, β>1 and h:ˉJ×R4R is a function such that h(t,.,.,.,.) is singular at some point tˉJ [44]. In 2017, Shabibi et al. studied the singular fractional integro-differential equation:

    CDβu(t)+h(t,u(t),u(t),cDγu(t),μ(u(t)))=0,

    where μ(u(t))=t0f(ξ)u(ξ)dξ, under boundary conditions: u(0)=u(0) and u(1)=CDγu(t), where tJ, uˉB, β>2, 0<γ,a<1, fˉL=L1(ˉJ), f1=m, h(t,u1,u2,u3,u4) is singular at some points tˉJ and CDβ is the Caputo fractional derivative [45]. In 2020, Samei considered the singular system of q–differential equations:

    {Dα1qu(t)=g1(t,u(t),v(t)),Dα2qv(t)=g2(t,u(t),v(t)),

    with conditions: u(0)=v(0)=0, u(i)(0)=v(i)(0)=0, for i=2,,n1 and

    u(1)=[Iγ1q(w1(t)u(t))]t=1,v(1)=[Iγ2q(w2(t)v(t))]t=1,

    where Dαjq is the q–derivative of fractional order αj, αj(n,n+1] with n3, Iγjq is the q–integral of fractional order γj, γj1, gjC(E), gj are singular at t=0 and satisfy the local Carathéodory condition on E=(0,1]×(0,)×(0,), and wjˉL are non-negative such that

    [Iγjq(wj(t))]t=1[0,12),

    for j=1,2 [37]. Also, Liang et al. [32] investigated a nonlinear problem of regular and singular fractional q–differential equation:

    cDαqu(t)=h(t,u(t),u(t),cDβqu(t)),

    with conditions: u(0)=c1u(1), u(0)=c2cDβqu(1) and u(k)(0)=0 for all 2kn1, here n1<α<n with n3, β,q,c1J, 0<c2<Γq(2β), function h is a Lκ-Carathéodory and h(t,u1,u2,u3) may be singular. Similarly, some related results have been obtained in [28,36,38]. Dassios et al. used a generalized system of differential equations of fractional order:

    Tλdλ(t)dt=Hdλ(t)+KE(ωrefωCol(t)),

    to incorporate memory into an electricity market model by constructing the fractional-order dynamical model, studying its solutions, and providing the closed formulas of solutions, where dλ(t)dt, λ(t) are the marginal electricity price and electricity price, respectively, ωref represents the reference frequency, ωCol(t) represents the frequency of the Col, that is, ωrefωCol(t) is the deviation frequency of the CoI with respect to the reference frequency, Tλ is the time constant, Hd is the deviation with respect to a perfect tracking integrator, and for a low-pass filter, it is Hd=1, and KE can be used as feedback gain [14].

    Using the ideas from these works, we investigate the existence of solutions for the following nonlinear pointwise defined fractional q–integro-differential equation:

    Dαqu(t)=w(t,u(t),Dβqu(t),t0f(ξ)u(ξ)dξ,φ(u(t))), (1.1)

    for qJ, under boundary conditions: b0u(r)dr=0, u(1)=u(a) and u(j)(0)=0 for j2, here α2, a,b,βJ, φ:ˉBˉB is a map such that

    φ(u1)φ(u2)c1u1u2+c2u1u2,

    for some non-negative real numbers c1 and c2 belonging to [0,) and all u1,u2ˉB, where Dαq and Dβq are the Caputo fractional q–derivatives of order α and β, respectively, which are defined in (2.11), and wˉL is singular at some points tˉJ.

    In fact, the non-constant real-valued function u on the interval I=[a,b] is said to be singular on I, if it is continuous, and there exists a set SI of measure 0 such that for all t outside of S, u(t) exists, and it is zero, that is, the derivative of u vanish almost everywhere. We say that, Dαqu(t)+g(t)=0 is a pointwise defined equation on ˉJ if there exists set SˉJ such that the measure of Sc is zero, and the equation holds on S [44].

    In Section 2, we recall some essential definitions of Caputo fractional q–derivative. Section 3 contains our main results of this work, while an example is presented to support the validity of our obtained results. An application with some needed algorithms for the problems are given in Section 4. In Section 5, conclusion is presented.

    Throughout the paper, we apply the notations of time scales calculus [12]. The Caputo fractional q–derivative is considered here on

    Ts0={0}{s:s=s0q},

    for all N, s0R and qJ. If there is no confusion concerning s0, we denote Ts0 by T. Let pR. Let us define [p]q=(1qp)(1q)1 [25]. The q–factorial function (vw)()q with N0 is defined by

    (vw)()q=1k=0(vwqk),(v,wR), (2.1)

    and (vw)(0)q=1, where N0:={0,1,2,3,} [2]. Also, for σR, we have:

    (vw)(σ)q=vσk=0vwqkvwqσ+k,(v,wR). (2.2)

    In [10], the authors proved that (vw)(σ+ν)q=(vw)(σ)q(vqσw)(ν)q and

    (avaw)(σ)q=aσ(vw)(σ)q,

    for each v,wR. If w=0, then it is clear that v(σ)=vσ. The q–Gamma function is given by

    Γq(v)=(1q)1v(1q)(v1)q,

    where vR{,2,1,0} [25]. In fact, by using (2.2), we have

    Γq(v)=(1q)1vk=01qk+11qv+k1,(vR). (2.3)

    Note that, Γq(v+1)=[v]qΓq(v) [10]HY__HY, Lemma 1]. For a function u:TR, the q–derivative of u, is

    Dq[u](t)=(ddt)qu(t)=u(t)u(qt)(1q)t, (2.4)

    for all tT{0}, and Dq[u](0)=limt0Dq[u](t) [2]. Also, the higher order q–derivative of the function u is defined by Dnq[u](t)=Dq[Dn1q[u]](t), for all n1, where D0q[u](t)=u(t) [2]. In fact,

    Dnq[u](t)=1tn(1q)nnk=0(1qn)(k)q(1q)(k)qqku(tqk), (2.5)

    for tT{0} [9].

    Remark 2.1. By using Eq (2.1), we can change Eq (2.5) into the following:

    Dnq[u](t)=1tn(1q)nnk=0k1i=0(1qin)k1i=0(1qi+1)qku(tqk). (2.6)

    The q–integral of the function u is defined by

    Iq[u](t)=t0u(ξ)dqξ=t(1q)k=0qku(tqk), (2.7)

    for 0tb, provided that the series is absolutely convergent [2]. If a is in [0,b], then

    bau(ξ)dqξ=Iq[u](b)Iq[u](a)=(1q)k=0qk[bu(bqk)au(aqk)], (2.8)

    whenever the series converges. The operator Inq is given by I0q[u](t)=u(t) and

    Inq[u](t)=Iq[In1q[u]](t),

    for n1 and uC([0,b]) [2]. It has been proven that

    Dq[Iq[u]](t)=u(t),Iq[Dq[u]](t)=u(t)u(0),

    whenever the function u is continuous at t=0 [2]. The fractional Riemann-Liouville type q–integral of the function u is defined by

    Iσq[u](t)=1Γq(σ)t0(tξ)(σ1)qu(ξ)dqξ,I0q[u](t)=u(t), (2.9)

    for tˉJ and σ>0 [9,23].

    Remark 2.2. By using Eqs (2.2), (2.3) and (2.7), we obtain:

    1Γq(σ)t0(tξ)(σ1)qu(ξ)dqξ=1Γq(σ)t0tσ1i=0tξqitξqσ+i1u(ξ)dqξ=tσ(1q)σi=01qσ+i11qi+1k=0qki=01qk+i1qσ+k+i1u(tqk).

    Therefore, we have:

    Iσq[u](t)=tσ(1q)σlimnnk=0qkni=0(1qσ+i1)(1qk+i)(1qi+1)(1qσ+k+i1)u(tqk), (2.10)

    The Caputo fractional q–derivative of the function u is defined by

    CDσq[u](t)=I[σ]σq[D[σ]q[u]](t)=1Γq([σ]σ)t0(tξ)([σ]σ1)qD[σ]q[u](ξ)dqξ (2.11)

    for tˉJ and σ>0 [23,35]. It has been proven that

    Iνq[Iσq[u]](t)=Iσ+νq[u](t),CDσq[Iσq[u]](t)=u(t),

    where σ,ν0 [23]. Also,

    Iσq[Dnq[u]](t)=Dnq[Iσq[u]](t)n1k=0tσ+knΓq(σ+kn+1)Dkq[u](0),

    where σ>0 and n1 [23].

    Remark 2.3. From Eq (2.3), Remark 2.1, and Eq (2.10) in Remark 2.2, we obtain:

    1Γq([σ]σ)t0(tξ)([σ]σ1)qD[σ]q[u](ξ)dqξ=1Γq([σ]σ)t0t[σ]σ1[i=0tsqitsq[σ]σ1+i]×(1t[σ](1q)[σ][σ]k=0[k1i=0(1qi[σ])(1qi+1)]qku(xqk))dqs=1tσ(1q)σ[σ]k=0([i=0(1q[σ]σ+i1)(1qk+i)(1qi+1)(1q[σ]σ1+k+i)]×([σ]m=0[m1i=0(1qi[σ])(1qi+1)]qmu(tqk+m))).

    Thus, we have:

    CDσq[u](t)=1tσ(1q)σ[σ]limnnk=0([ni=0(1q[σ]σ+i1)(1qk+i)(1qi+1)(1q[σ]σ1+k+i)]×([σ]m=0[m1i=0(1qi[σ])(1qi+1)]qmu(tqk+m))). (2.12)

    The authors in [41] presented all algorithms and MATLAB code's lines to simplify q–factorial functions (vw)(n)q, (vw)(σ)q, Γq(v), Iq[u](t), and some necessary equations.

    Lemma 2.4. [27,29] For σ>0, the general solution of the fractional q–differential equation CDσu(t)=0 is given by u(t)=n1i=0eiti, where eiR for i=0,1,2,,n1 and n=[σ]+1 here [σ] denotes the integer part of the real number σ.

    We use the three norms: u=suptˉJ|u(t)|,

    (u,u)=max{u,u},

    and u1=ˉJ|u(ξ)|dξ in ˉA=C(ˉJ), ˉB=C1(ˉJ), and ˉL=L1(ˉJ), respectively. Let Ψ be the family of nondecreasing functions ψ:[0,)[0,) such that n=1ψn(t)<, for all t>0. Let T:XX and α:X×X(0,). T is called an α-admissible mapping if α(u1,u2)1 implies that α(T(u1),T(u2))1 for each u1,u2 in X.

    Definition 2.5. [42] Let (X,ρ) be a metric space, where ψΨ and α:X2[0,) is a map. A self-map T defined on X is called an α-ψ-contraction whenever

    α(u1,u2)ρ(T(u1),T(u2))ψ(ρ(u1,u2)),

    for each u1,u2X.

    Lemma 2.6. [42]Let (X,ρ) be a complete metric space and T:XX be a continuous, αadmissible and αψ–contraction, then T has a fixed point whenever there exists u0X such that α(u0,T(u0))1.

    Lemma 2.7. [43,46]If xˉAˉL with DαqxAL, then

    IαqDαqu(t)=u(t)+ni=1citαi,

    where [α]n<[α]+1, and ci is some real number.

    Let us first prove the following essential lemma:

    Lemma 3.1. Suppose that α2, qJ and gˉL. The solution of the boundary value problem: Dαqu(t)=g(t) with boundary conditions is expressed as:

    {u(j)(0)=0;j=2,3,4,,u(1)=u(a);aJ,b0u(ξ)dξ=0;bJ,

    is

    u(t)=10Gq(t,ξ)g(ξ)dqξ,

    on a time scale Tt0 where Gq(t,s) is expressed as:

    {A0(ts)(α1)q+A1(t)(1s)(α2)q+A2(t)(as)(α1)q+A3(t)(bs)(α)qsmin{a,b};A0(ts)(α1)q+A1(t)(1s)(α2)q+A2(t)(as)(α1)qbsa;A0(ts)(α1)q+A1(t)(1s)(α2)q+A3(t)(bs)(α)qasb;A0(ts)(α1)q+A1(t)(1s)(α2)qsmax{a,b}; (3.1)

    whenever 0st1,

    {A1(t)(1s)(α2)q+A2(t)(as)(α1)q+A3(bs)(α)qsmin{a,b};A1(t)(1s)(α2)q+A2(t)(as)(α1)qbsa;A1(t)(1s)(α2)q+A3(t)(bs)(α)qasb;A1(t)(1s)(α2)qsmax{a,b}; (3.2)

    whenever 0ts1. Also

    {A0=1Γq(α),A1(t)=b(1a+t)μ(a,b)μ(a,b)Γq(α1),A2(t)=μ(a,b)+b(a+t1)μ(a,b)Γq(α),A3(t)=μ(a,b)(1a)+tμ(a,b)Γq(α+1), (3.3)

    and

    μ(a,b)=b(1a)+b22>0. (3.4)

    Proof. Consider the problem: Dαqu(t)=g(t). Using Lemma 2.7, it is deduced that u(t)=Iαqg(t)+c0+c1t, where c0, c1 are some real numbers, and Iαq is Riemann-Liouville type q–integral of order α. Hence, u(t)=Iα1qg(t)+c1 where Iα1q is a fractional Riemann-Liouville type q–integral of order α1. By applying condition u(1)=u(a), we get:

    Iα1qg(1)+c1=Iαqg(a)+c0+c1a,

    and so c0=Iα1qg(1)+Iαqg(a)+(1a)c1. one can easily check that

    b0u(r)dr=Iα+1qg(b)bIα1qg(1)+μIαqg(a)+bc1(1a)+12c1b2.

    Since b0u(r)dr=0, we get:

    c1=1μ(a,b)Iα+1qg(b)+bμ(a,b)Iα1qg(1)bμ(a,b)Iα+1qg(a).

    Thus,

    c0=Iα1qg(1)+Iαqg(a)+1aμ(a,b)Iα+1qg(b)+b(1a)μ(a,b)Iα1qg(1)b(1a)μ(a,b)Iαqg(a)

    and so

    u(t)=Iαqg(t)Iα1qg(1)+Iαqg(a)+1aμ(a,b)Iα+1qg(b)+b(1a)μ(a,b)Iα1qg(1)b(1a)μ(a,b)Iαqg(a)+tμ(a,b)Iα+1qg(b)+btμ(a,b)Iα1qg(1)btμ(a,b)Iαqg(a).

    Hence,

    u(t)=Iαqg(t)+A1(t)Iα1qg(1)+A2(t)Iαqg(a)+A3(t)Iα+1qg(b).

    Now, some easy evaluations show us that u(t)=10Gq(t,s)g(s)dqs.

    Remark 3.2. Note that, the mappings Gq(t,s) and Gq(t,s)t are continuous with respect to t. Let w be a map on ˉJ×ˉB2 such that w is singular at some points of ˉJ. Let us define the function Θu:ˉBˉB by

    Θu(t)=Iαqw(t,u(t),Dβqu(t),t0f(ξ)u(ξ)dξ,φ(u(t)))+A1(t)Iα1qw(1,u(1),Dβqu(1),10f(ξ)u(ξ)dξ,φ(u(1)))+A2(t)Iαqw(a,u(a),Dβqu(a),a0f(ξ)u(ξ)dξ,φ(u(a)))+A3(t)Iα+1qw(b,u(b),Dβqu(b),b0f(ξ)u(ξ)dξ,φ(u(b))),

    for all tˉJ, where Iαq is the fractional Riemann-Liouville q–integral of order α which is defined in (2.9), and Dβq is the Caputo fractional q–derivative of order β which is defined in (2.11). Then, by taking the first order derivative related to t, we have:

    Θu(t)=10Gq(t,ξ)tw(s,u(s),Dβqu(s),s0f(ξ)u(ξ)dξ,φ(u(s)))dqs=Iα1qw(t,u(t),Dβqu(t),t0f(ξ)u(ξ)dξ,φ(u(t)))+bμ(a,b)Iα1qw(1,u(1),Dβqu(1),10f(ξ)u(ξ)dξ,φ(u(1)))+bμ(a,b)Iαqw(a,u(a),Dβqu(a),a0f(ξ)u(ξ)dξ,φ(u(a)))+1μ(a,b)Iα+1qw(b,u(b),Dβqu(b),b0f(ξ)u(ξ)dξ,φ(u(b))).

    Obviously, the singular pointwise defined Eq (1.1) has a solution iff the map Θu has a fixed point.

    Now, we give our main result as follows:

    Theorem 3.3. Assume that α2, [α]=n1, a,b,qJ, fˉL with f1=m, φ:ˉBR is such that

    |φ(u(t))φ(v(t))|c1|u(t)v(t)|+c2|u(t)v(t)|,

    for some c1,c2[0,). Let Ω:ˉJ×ˉB5R be a mapping which is singular on some points ˉJ and

    |w(t,u1,,u5)w(t,v1,,v5)|k0i=1μi(t)Ωi(u1v1,,u5v5),

    for all u1,u2,v1,v2ˉB and almost all tˉJ, where k0 is a natural number, μi:ˉJR+, ˆμiˉL,

    ˆμi(s)=(1s)α2qμi(s),

    Ωi:ˉB5R+ is a nondecreasing mapping with respect to all components with

    Ωi(ν,ν,ν,ν,ν)νγipi,

    as ν0+ for some γi>0, piR+ with 1ik0. Suppose that

    |w(t,u1,,u5)|h(t)T(u1,,u5),

    for all (u1,,u5)ˉB5 and almost all tˉJ, where h:ˉJR+, ˆhˉL, T:ˉB5R+ is a nondecreasing mapping respect all their components such that

    limν0+T(ν,ν,ν,ν,ν)ν[0,τ),

    whereτ=(ˆh1Mα,a,b)1,

    =max{1,1Γq(2β),m,c1+c2},

    μ(a,b) define by Eq (3.4) in Lemma 3.1 and

    Mα,a,b=max{1Γq(α)+b(2a)μ(a,b)μ(a,,b)Γq(α1)+μ(a,b)+abμ(a,b)Γq(α)+μ(a,b)(1a)+1μ(a,b)Γq(α+1),1Γq(α1)+bμ(a,b)Γq(α1)+bμ(a,b)Γq(α)+1μ(a,b)Γq(α+1)}.

    If

    Mα,a,bk0i=1piγiˆμiˉJ<1,

    then the pointwise defined Eq (1.1) under boundary conditions: u(j)(0)=0 for j2, b0u(r)dr=0 and u(1)=u(a) has a solution.

    Proof. Let u,vˉB. Then, we get:

    |Θu(t)Θv(t)||Iαqw(t,u(t),u(t),Dβqu(t),t0f(r)u(r)dr,φ(u(t)))+A1(t)Iα1qw(1,u(1),u(1),Dβqu(1),10f(r)u(r)dr,φ(u(1)))+A2(t)Iαqw(a,u(a),u(a),Dβqu(a),a0f(r)u(r)dr,φ(u(a)))+A3(t)Iα+1qw(b,u(b),u(b),Dβqu(b),10f(r)u(r)dr,φ(u(b)))+Iαqw(t,v(t),v(t),Dβqv(t),t0f(r)v(r)dr,φ(v(t)))A1(t)Iα1qw(1,v(1),v(1),Dβqv(1),10f(r)v(r)dr,φ(v(1)))A2(t)Iαqw(a,v(a),v(a),Dβqv(a),a0f(r)v(r)dr,φ(v(a)))A3(t)Iα+1qw(b,v(b),v(b),Dβqv(b),10f(r)v(r)dr,φ(v(b)))|Iαq|w(t,u(t),u(t),Dβqu(t),t0f(r)u(r)dr,φ(u(t)))w(t,v(t),v(t),Dβqv(t),t0f(r)v(r)dr,φ(v(t)))|+A1(t)[Iα1q|w(1,u(1),u(1),Dβqu(1),10f(r)u(r)dr,φ(u(1)))w(1,v(1),v(1),Dβqv(1),10f(r)v(r)dr,φ(v(1)))|]+A2(t)[Iαq|w(a,u(a),u(a),Dβqu(a),a0f(r)u(r)dr,φ(u(a)))w(a,v(a),v(a),Dβqv(a),a0f(r)v(r)dr,φ(v(a)))|]+A3(t)[Iα+1q|w(b,u(b),u(b),Dβqu(b),10f(r)u(r)dr,φ(u(b)))w(b,v(b),v(b),Dβqv(b),10f(r)v(r)dr,φ(v(b)))|]Iαq(k0i=1μi(t)[Ωi(u(t)v(t),u(t)v(t),Dβqu(t)Dβqv(t),t0f(r)u(r)drt0f(r)v(r)dr,φ(u(t))φ(v(t)))])+A1(t)Iα1q(k0i=1μi(1)×[Ωi(u(1)v(1),u(1)v(1),Dβqu(1)Dβqv(1),10f(r)u(r)dr10f(r)v(r)dr,φ(u(1))φ(v(1)))])+A2(t)Iαq(k0i=1μi(a)×[Ωi(u(a)v(a),u(a)v(a),Dβqu(a)Dβqv(a),a0f(r)u(r)drq0f(r)v(r)dr,φ(u(a))φ(v(a)))])+A3(t)Iα+1q(k0i=1μi(b)×[Ωi(u(b)v(b),u(b)v(b),Dβqu(b)Dβqv(b),b0f(r)u(r)drb0f(r)v(r)dr,φ(u(b))φ(v(b)))])k0i=1Iαq(μi(t)[Ωi(|u(t)v(t)|,|u(t)v(t)|,|Dβqu(t)Dβqv(t)|,|t0f(r)u(r)drt0f(r)v(r)dr|,|φ(u(t))φ(v(t))|)])+A1(t)k0i=1Iα1q(μi(1)×[Ωi(|u(1)v(1)|,|u(1)v(1)|,|Dβqu(1)Dβqv(1)|,|10f(r)u(r)dr10f(r)v(r)dr|,|φ(u(1))φ(v(1))|)])+A2(t)k0i=1Iαq(μi(a)×[Ωi(|u(a)v(a)|,|u(a)v(a)|,|Dβqu(a)Dβqv(a)|,|a0f(r)u(r)drq0f(r)v(r)dr|,|φ(u(a))φ(v(a))|)])+A3(t)k0i=1Iα+1q(μi(b)×[Ωi(|u(b)v(b)|,|u(b)v(b)|,|Dβqu(b)Dβqv(b)|,|b0f(r)u(r)drb0f(r)v(r)dr|,|φ(u(b))φ(v(b))|)]).

    Since Dβqu(t)=I1βqu(t) for βJ, we have

    |Dβqu(t)|I1βq|u(t)|uI1βq(1)=uΓq(2β),

    and so

    |Dβqu(t)Dβqv(t)|=|Dβq(u(t)v(t))|uvΓq(2β).

    Thus, by considering ξ=uv, we have:

    |Θu(t)Θv(t)|k0i=1IαqΩi(uv,uv,uvΓq(2β),muv,c1uv+c2uv)+A1(t)k0i=1Iα1q(μi(1)[Ωi(uv,uv,uvΓq(2β),muv,c1uv+c2uv)])+A2(t)k0i=1Iαq(μi(a)[Ωi(uv,uv,uvΓq(2β),muv,c1uv+c2uv)])+A3(t)k0i=1Iα+1q(μi(b)[Ωi(uv,uv,uvΓq(2β),muv,c1uv+c2uv)])k0i=1Ωi(ξ,ξ,ξΓq(2β),mξ,c1ξ+c2ξ)Iαqμi(t)+A1(t)k0i=1Ωi(ξ,ξ,ξΓq(2β),mξ,c1ξ+c2ξ)Iα1qμi(1)+A2(t)k0i=1Ωi(ξ,ξ,ξΓq(2β),mξ,c1ξ+c2ξ)Iαqμi(a)+A3(t)k0i=1Ωi(ξ,ξ,ξΓq(2β),mξ,c1ξ+c2ξ)Iα+1qμi(b)k0i=1Ωi(ξ,ξ,ξ,ξ,ξ)Iαqμi(1)+A1(t)k0i=1Ωi(ξ,ξ,ξ,ξ,ξ)Iα1qμi(1)+A2(t)k0i=1Ωi(ξ,ξ,ξ,ξ,ξ)Iαqμi(1)+A3(t)k0i=1Ωi(ξ,ξ,ξ,ξ,ξ)Iα+1qμi(1)=A0k0i=1ˆμi1Ωi(ξ,ξ,ξ,ξ,ξ)+A1(t)k0i=1ˆμi1Ωi(ξ,ξ,ξ,ξ,ξ)+A2(t)k0i=1ˆμi1Ωi(ξ,ξ,ξ,ξ,ξ)+A3(t)k0i=1ˆμi1Ωi(ξ,ξ,ξ,ξ,ξ)=k0i=1ˆμi1Ωi(ξ,ξ,ξ,ξ,ξ)×[A0+A1(t)+A2(t)+A3(t)].

    This implies that

    ΘuΘv[A0+A1(t)+A2(t)+A3(t)]k0i=1ˆμi1Ωi(ξ,ξ,ξ,ξ,ξ).

    Assume that u,vˉB. Then, we get:

    |ΘuΘv||Iα1qw(t,u(t),u(t),Dβqu(t),t0f(r)u(r)dr,φ(u(t)))+bμ(a,b)Iα1qw(1,u(1),u(1),Dβqu(1),10f(r)u(r)dr,φ(u(1)))+bμ(a,b)Iαqw(a,u(a),u(a),Dβqu(a),a0f(r)u(r)dr,φ(u(a)))+1μ(a,b)Iα+1qw(b,u(b),u(b),Dβqu(b),b0f(r)u(r)dr,φ(u(b)))+Iα1qw(t,v(t),v(t),Dβqv(t),t0f(r)v(r)dr,φ(v(t)))bμ(a,b)Iα1qw(1,v(1),v(1),Dβqv(1),10f(r)v(r)dr,φ(v(1)))bμ(a,b)Iαqw(a,v(a),v(a),Dβqv(a),a0f(r)v(r)dr,φ(v(a)))1μ(a,b)Iα+1qw(b,v(b),v(b),Dβqv(b),b0f(r)v(r)dr,φ(u(b)))|Iα1q|w(t,u(t),u(t),Dβqu(t),t0f(r)u(r)dr,φ(u(t)))w(t,v(t),v(t),Dβqv(t),t0f(r)v(r)dr,φ(v(t)))|+bμ(a,b)Iα1q|w(1,u(1),u(1),Dβqu(1),10f(r)u(r)dr,φ(u(1)))Iα1qw(1,v(1),v(1),Dβqv(1),10f(r)v(r)dr,φ(v(1)))|+bμ(a,b)Iαq|w(a,u(a),u(a),Dβqu(a),a0f(r)u(r)dr,φ(u(a)))Iαqw(a,v(a),v(a),Dβqv(a),a0f(r)v(r)dr,φ(v(a)))|+1μ(a,b)Iq3α+1|w(b,u(b),u(b),Dβqu(b),b0f(r)u(r)dr,φ(u(b)))w(b,v(b),v(b),Dβqv(b),b0f(r)v(r)dr,φ(u(b)))|Iα1qk0i=1μi(t)[Ωi(u(t)v(t),u(t)v(t),Dβqu(t)Dβqv(t),t0f(r)u(r)drt0f(r)v(r)dr,φ(u(t))φ(v(t)))]+bμ(a,b)Iα1qk0i=1μi(1)×[Ωi(u(1)v(1),u(1)v(1),Dβqu(1)Dβqv(1),10f(r)u(r)dr10f(r)v(r)dr,φ(u(1))φ(v(1)))]+bμ(a,b)Iαqk0i=1μi(a)×[Ωi(u(a)v(a),u(a)v(a),Dβqu(a)Dβqv(a),a0f(r)u(r)dra0f(r)v(r)dr,φ(u(a))φ(v(a)))]
    \begin{array}{l} &+ \frac{1}{\mu(a, b)} \mathbb{I}_q^{\alpha+1} \sum\limits_{i = 1}^{k_0} \mu_i(b)\\ & \times \bigg[ \Omega_i \bigg( u(b) - v(b), u'(b) - v'(b), \mathbb{D}_q^{\beta} u(b) - \mathbb{D}_q^{\beta} v(b),\\ & \int_0^b f(r) u(r) \, \mathrm{d}r - \int_0^b f(r) v(r) \, \mathrm{d}r, \varphi(u(b)) - \varphi( v(b)) \bigg)\bigg]\\ & \leq \sum\limits_{i = 1}^{k_0} \mathbb{I}_q^{\alpha -1} \mu_i(t) \bigg[ \Omega_i \bigg( | u(t) - v(t)|, |u'(t)- v'(t)|, | \mathbb{D}_q^{\beta} (u(t) - v(t))|,\\ & \bigg|\int_0^t f(r) (u(r) - v(r) ) \, \mathrm{d}r \bigg|, |\varphi( u(t)) - \varphi(v(t)) | \bigg)\bigg] \\ & + \frac{b}{\mu(a, b)} \sum\limits_{i = 1}^{k_0} \mathbb{I}_q^{\alpha -1} \mu_i(1) \\ & \times \bigg[ \Omega_i \bigg( | u(1) - v(1)|, |u'(1)- v'(1)|, | \mathbb{D}_q^{\beta} (u(1) - v(1))|,\\ & \bigg|\int_0^1 f(r) (u(r) - v(r) ) \, \mathrm{d}r \bigg|, |\varphi( u(1)) - \varphi(v(1)) | \bigg)\bigg] \\ & + \frac{b}{\mu(a, b)} \sum\limits_{i = 1}^{k_0} \mathbb{I}_q^\alpha \mu_i(1) \\ & \times \bigg[ \Omega_i \bigg( | u(1) - v(1)|, |u'(1)- v'(1)|, | \mathbb{D}_q^{\beta} (u(1) - v(1))|,\\ & \bigg|\int_0^1 f(r) (u(r) - v(r) ) \, \mathrm{d}r \bigg|, |\varphi( u(1)) - \varphi(v(1)) | \bigg)\bigg] \\ & + \frac{1}{\mu(a, b)} \sum\limits_{i = 1}^{k_0} \mathbb{I}_q^{\alpha+1} \mu_i(1)\\ & \times \bigg[ \Omega_i \bigg( | u(1) - v(1)|, |u'(1)- v'(1)|, | \mathbb{D}_q^{\beta} (u(1) - v(1))|,\\ & \bigg|\int_0^1 f(r) (u(r) - v(r) ) \, \mathrm{d}r \bigg|, |\varphi( u(1)) - \varphi(v(1)) | \bigg)\bigg] \\ & \leq \sum\limits_{i = 1}^{k_0} \mathbb{I}_q^{\alpha-1} \bigg[ \Omega_i \bigg( \| u(t) - v(t)\|, \|u'(t) - v'(t)\|, \frac{\| u'(t) - v'(t)\|}{\Gamma_q( 2- \beta)}, \\ & m \|u(t)-v(t)\|, c_1 \|u(t) - v(t)\|+ c_2 \|u'(t)-v'(t)\| \bigg) \bigg]\\ & + \frac{b}{\mu(a, b)} \sum\limits_{i = 1}^{k_0} \mathbb{I}_q^{\alpha-1} \bigg[ \Omega_i \bigg( \| u(1) - v(1)\|, \|u'(1) - v'(1)\|, \frac{\| u'(1) - v'(1)\|}{\Gamma_q( 2- \beta)}, \\ & m \|u(1) - v(1)\|, c_1 \| u (1)- v(1)\|+ c_2 \|u'(1) - v'(1)\| \bigg) \bigg]\\ & + \frac{b}{\mu(a, b)} \sum\limits_{i = 1}^{k_0} \mathbb{I}_q^{\alpha} \bigg[ \Omega_i \bigg( \| u(a) - v(a)\|, \|u'(a) - v'(a)\|, \frac{\| u'(a) - v'(a)\|}{\Gamma_q( 2- \beta)}, \\ & m \|u(a) - v(a)\|, c_1 \|u(a) - v(a)\|+ c_2 \|u'(a) - v'(a)\| \bigg) \bigg]\\ & + \frac{1}{\mu(a, b)} \sum\limits_{i = 1}^{k_0} \mathbb{I}_q^{\alpha+1} \bigg[ \Omega_i \bigg( \| u(b) - v(b)\|, \|u'(b) - v'(b)\|, \frac{\| u'(b) - v'(b)\|}{\Gamma_q( 2- \beta)}, \\ & m \|u(b) - v(b)\|, c_1 \|u(b) - v(b)\|+ c_2 \|u'(b) - v'(b)\| \bigg) \bigg]\\ & \leq \sum\limits_{i = 1}^{k_0} \Omega_i \bigg( \xi, \xi, \frac{\xi}{ \Gamma_q(2- \beta)}, m \xi, c_1 \xi + c_2 \xi \bigg) \mathbb{I}_q^{\alpha - 1} \mu_i(t)\\ & + \frac{b}{\mu(a, b)} \sum\limits_{i = 1}^{k_0} \Omega_i \bigg( \xi, \xi, \frac{\xi}{ \Gamma_q(2- \beta)}, m \xi, c_1 \xi + c_2 \xi\bigg) \mathbb{I}_q^{\alpha - 1} \mu_i(1)\\ & + \frac{b}{\mu(a, b)} \sum\limits_{i = 1}^{k_0} \Omega_i \bigg( \xi, \xi, \frac{\xi}{ \Gamma_q(2- \beta)}, m \xi, c_1 \xi+ c_2 \xi \bigg) \mathbb{I}_q^{\alpha } \mu_i(a) \\ & + \frac{1}{\mu(a, b)} \sum\limits_{i = 1}^{k_0} \Omega_i \bigg(\xi, \xi, \frac{\xi}{ \Gamma_q(2- \beta)}, m \xi, c_1 \xi+ c_2 \xi \bigg) \mathbb{I}_q^{\alpha+1} \mu_i(b)\\ & \leq \sum\limits_{i = 1}^{k_0} \Omega_i \bigg( \ell \xi \ell \xi, \ell \xi, \ell \xi, \ell \xi \bigg) \mathbb{I}_q^{\alpha - 1} \mu_i(1)\\ & + \frac{b}{\mu(a, b)} \sum\limits_{i = 1}^{k_0} \Omega_i \bigg( \ell \xi, \ell \xi, \ell \xi, \ell \xi, \ell \xi \bigg) \mathbb{I}_q^{\alpha - 1} \mu_i(1)\\ & + \frac{b}{\mu(a, b)} \sum\limits_{i = 1}^{k_0} \Omega_i \bigg( \ell \xi , \ell \xi , \ell \xi , \ell \xi,\ell \xi \bigg) \mathbb{I}_q^{\alpha } \mu_i(1)\\ & + \frac{1}{\mu(a, b)} \sum\limits_{i = 1}^{k_0} \Omega_i \bigg(\ell \xi, \ell \xi, \ell\xi, \ell \xi, \ell \xi \bigg) \mathbb{I}_q^{\alpha+1} \mu_i(1)\\ & = \frac{1}{\Gamma_q(\alpha-1)} \sum\limits_{i = 1}^{k_0} \|\hat{\mu}_i\|_1 \Omega_i \big(\ell \xi, \ell \xi, \ell \xi, \ell \xi, \ell \xi\big) \\ & + \frac{b}{\mu(a, b) \Gamma_q(\alpha-1 )} \sum\limits_{i = 1}^{k_0} \|\hat{\mu}_i\|_1 \Omega_i \big(\ell \xi, \ell \xi, \ell \xi, \ell \xi, \ell \xi \big) \\ & + \frac{b}{\mu(a, b)\Gamma_q(\alpha)} \sum\limits_{i = 1}^{k_0} \|\hat{\mu}_i\|_1 \Omega_i \big(\ell \xi, \ell \xi, \ell \xi, \ell \xi, \ell \xi \big) \\ & + \frac{1}{\mu(a, b)\Gamma_q(\alpha+1)} \sum\limits_{i = 1}^{k_0} \|\hat{\mu}_i\|_1 \Omega_i \big(\ell \xi, \ell \xi, \ell \xi, \ell \xi, \ell \xi \big) \\ & = \sum\limits_{i = 1}^{k_0} \|\hat{\mu}_i\|_1 \Omega_i \big(\ell \xi, \ell \xi, \ell \xi, \ell \xi, \ell \xi \big) \bigg[\frac{1}{\Gamma_q(\alpha-1)} \\ & + \frac{b} {\mu(a,b) \Gamma_q(\alpha-1 )} + \frac{b}{\mu(a,b) \Gamma_q(\alpha )} +\frac{1}{\mu(a,b) \Gamma_q(\alpha+1 )} \bigg].\end{array}

    Hence,

    \begin{align*} \|\Theta'_u - \Theta'_v\| & \leq \sum\limits_{i = 1}^{k_0} \|\hat{\mu}_i\|_1 \Omega_i \big(\ell \xi, \ell\xi, \ell \xi, \ell \xi, \ell \xi \big) \bigg[\frac{1}{\Gamma_q(\alpha-1)} \\ & \quad+ \frac{b} {\mu(a,b) \Gamma_q(\alpha-1 )} + \frac{b}{\mu(a,b) \Gamma_q(\alpha )} +\frac{1}{\mu(a,b) \Gamma_q(\alpha+1 )} \bigg] \end{align*}

    and so

    \begin{align*} \| \Theta_{u} - \Theta_{v} \|_{*} & \leq \sum\limits_{i = 1}^{k_0} \|\hat{\mu}_i\|_1 \Omega_i \big(\ell \xi, \ell \xi, \ell \xi, \ell \xi, \ell \xi \big) \max \bigg\{ \frac{1}{\Gamma_q(\alpha)} \\ & \quad + \frac{b (2- a) - \mu(a,b)}{\mu(a , b)\Gamma_q(\alpha - 1)} + \frac{\mu(a, b) +ab }{\mu(a, b)\Gamma_q(\alpha)} + \frac{\mu(a,b)(1-a)+1 }{\mu(a, b) \Gamma_q(\alpha+1)}, \\ & \quad \frac{1}{\Gamma_q(\alpha - 1)} + \frac{b}{\mu(a, b) \Gamma_q(\alpha - 1)} + \frac{b}{\mu(a, b) \Gamma_q(\alpha)} \\ & \quad + \frac{1}{\mu(a, b) \Gamma_q (\alpha + 1)} \bigg\}. \end{align*}

    If

    \begin{align*} M_{\alpha, a, b}& = \max \bigg\{ \frac{1}{\Gamma_q(\alpha)} + \frac{b (2- a) - \mu(a,b)}{\mu(a, b)\Gamma_q(\alpha - 1)} + \frac{\mu(a, b) +ab }{\mu(a, b)\Gamma_q(\alpha)} \\ & \quad + \frac{\mu(a,b)(1-a)+1 }{\mu(a, b) \Gamma_q(\alpha+1)}, \frac{1}{\Gamma_q(\alpha - 1)} + \frac{b}{\mu(a, b) \Gamma_q(\alpha - 1)} \\ & \quad+ \frac{b}{\mu(a, b) \Gamma_q(\alpha)} + \frac{1}{\mu(a, b) \Gamma_q (\alpha + 1)} \bigg\}, \end{align*}

    then

    \begin{align} \| \Theta_{u} - \Theta_{v} \|_{*} & \leq M_{\alpha, a, b} \sum\limits_{i = 1}^{k_0} \|\hat{\mu}_i\|_1 \Omega_i \big(\ell \xi, \ell \xi, \ell \xi, \ell \xi, \ell \xi \big). \end{align} (3.5)

    Let 0 < \varepsilon \leq 1 be given. Since

    \lim\limits_{\nu \to 0^{+}} \frac{\Omega_i(\nu,\nu,\nu,\nu,\nu)}{\nu^{\gamma_i}} = p_i,

    for 1 \leq i \leq k_0 , \exists \; \delta_i = \delta_i(\varepsilon) such that \nu \in (0, \delta_i] implies

    \left| \frac{\Omega_i(\nu,\nu , \nu, \nu, \nu)}{\nu^{\gamma_i}} - p_i \right| < \varepsilon,

    and so \Omega_i(\nu, \nu, \nu, \nu, \nu)/ \nu^{\gamma_i} < \varepsilon + p_i . This consequents

    0 \leq \Omega_i(\nu,\nu ,\nu, \nu, \nu) < ( \varepsilon + p_i) \nu^{\gamma_i}.

    We take \delta = \min \{ \delta_1, \dots, \delta_{k_0}, \varepsilon \} . In this case, \nu \in (0, \delta] implies

    \begin{align} 0 & \leq \Omega_i(\nu, \nu, \nu, \nu, \nu) < ( \varepsilon + p_i) \nu^{\gamma_i} \end{align} (3.6)

    for all 1\leq i \leq k_0 . By using (3.6), we obtain:

    \begin{align} \Omega_i(\ell \xi, \dots, \ell \xi) & \leq ( \varepsilon + p_i ) (\ell \xi)^{\gamma_i} \leq ( \varepsilon + p_i ) \ell^{\gamma_i} \varepsilon^{\gamma_i}. \end{align} (3.7)

    At present, by applying (3.5) and (3.7), we obtain:

    \| \Theta_{u} - \Theta_{v} \|_{*} \leq M_{\alpha, a, b} \sum\limits_{i = 1}^{k_0} \|\hat{\mu}_i\|_1 ( \varepsilon + p_i ) \ell^{\gamma_i} \varepsilon^{\gamma_i}.

    Now, we consider: \gamma = \min \{\gamma_1, \cdots, \gamma_{k_0} \} . Hence,

    \left\| \Theta_{u} - \Theta_{v} \right\|_{*} \leq \varepsilon^\gamma M_{\alpha, a, b} \sum\limits_{i = 1}^{k_0} \|\hat{\mu}_i \|_1 (\varepsilon + p_i ) \ell^{\gamma_i}.

    Therefore, this implies that \Theta is continuous. Since

    M_{\alpha, a, b} \sum\limits_{i = 1}^{k_0} \|\hat{\mu}_i\|_1 p_i \ell^{\gamma_i} < 1,

    there is \varepsilon_1 > 0 such that

    M_{\alpha, a, b} \sum\limits_{i = 1}^{k_0} \|\hat{\mu}_i\|_1 (p_i + \varepsilon_1) \ell^{\gamma_i} < 1.

    Let

    \lambda = \lim\limits_{\nu \to 0^{+}} \frac{T(\nu, \nu, \nu, \nu, \nu)}{\nu } \, \in [0, \tau).

    Then, we have:

    \lambda = \lim\limits_{\nu \to 0^{+}} T(\ell \nu, \dots, \ell \nu)/ (\ell \nu),

    and so for each \varepsilon > 0 there exists \delta(\epsilon) > 0 such that \nu \in (0, \delta(\varepsilon)] implies

    0 \leq \frac{ T(\ell \nu, \dots, \ell \nu)}{\ell \nu} - \lambda < \varepsilon.

    Hence, 0 \leq T(\ell \nu, \dots, \ell \nu) < (\lambda + \varepsilon) \ell \nu and

    0 \leq T(\ell \delta(\varepsilon), \dots, \ell \delta( \varepsilon)) < ( \lambda + \varepsilon) \ell \delta(\varepsilon).

    Since \lambda \in [0, \tau) , choose \varepsilon_0 > 0 such that \lambda + \varepsilon_0 < \tau . Assume that

    \eta_0 = \min \Big\{ \delta(\varepsilon_0), \delta(\varepsilon_1) \Big\}.

    Then, \eta \leq \eta_0 implies 0 \leq T(\ell \eta, \dots, \ell \eta) < (\lambda + \varepsilon_0) \ell \eta . Since

    \lim\limits_{\nu \to 0^{+}} \frac{ \Omega_i(\nu, \nu, \nu, \nu, \nu)}{\nu^{\gamma_i}} = p_i,

    there exists \eta_1 > 0 such that \nu \in (0, \eta_1] implies

    \begin{align} \Omega_i(\ell \nu, \dots, \ell \nu) & < (p_i + \varepsilon_0) (\ell \nu)^{\gamma_i} \end{align} (3.8)

    for i = 1, \dots, k_0 . Let \eta = \min \{\eta_0, \frac{\eta_1}{ 2}, \frac{1}{2} \} and

    E = \Big\{ u \in \bar{\mathcal{B}} : \|u\|_{*}\leq \eta \Big\}.

    Define \alpha: \bar{\mathcal{B}}^2 \to \mathbb{R} by

    \alpha (u,v) = \begin{cases} 1 &u = v,\\ 0 &u \neq v. \end{cases}

    Assume that u, v \in \bar{\mathcal{B}} be given. If \alpha(u, v) \geq 1 , then for every t \in \bar{J} , we have:

    \begin{align*} |\Theta_{u} (t) | & \leq \int^t_0 |G_q(t, s)| w\bigg(s, u(s), u'(s), \mathbb{D}_q^{\beta} u(s), \int_{0}^s f(r) u(r) \, \mathrm{d}r, \varphi(u(s)) \bigg) \, \mathrm{d}_qs \\ & \leq \mathbb{I}_q^\alpha \bigg|w\bigg(t, u(t), u'(t), \mathbb{D}_q^{\beta} u(t), \int_{0}^t f(r) u(r) \, \mathrm{d}r, \varphi(u(t)) \bigg)\bigg|\\ & \quad + A_1(t) \mathbb{I}_q^{\alpha-1} \bigg|w\bigg(1, u(1), u'(1), \mathbb{D}_q^{\beta} u(1), \int_{0}^1 f(r) u(r) \, \mathrm{d}r, \varphi(u(1)) \bigg)\bigg|\\ & \quad + A_2(t) \mathbb{I}_q^{\alpha} \bigg|w\bigg(a, u(a), u'(a), \mathbb{D}_q^{\beta} u(a), \int_{0}^a f(r) u(r) \, \mathrm{d}r, \varphi(u(a)) \bigg)\bigg|\\ & \quad + A_3(t) \mathbb{I}_q^{\alpha+1} \bigg| w\bigg(b, u(b), u'(b), \mathbb{D}_q^{\beta} u(b), \int_{0}^b f(r) u(r) \, \mathrm{d}r, \varphi(u(b)) \bigg)\bigg|\\ & \leq \mathbb{I}_q^\alpha \bigg( h(t) T\bigg(u(t), u'(t), \mathbb{D}_q^{\beta} u(t), \int_{0}^t f(r) u(r) \, \mathrm{d}r, \varphi(u(t)) \bigg) \bigg)\\ & \quad + A_1(t) \mathbb{I}_q^{\alpha-1} \bigg( h(1) T\bigg(u(1), u'(1), \mathbb{D}_q^{\beta} u(1), \int_{0}^1 f(r) u(r) \, \mathrm{d}r, \varphi(u(1)) \bigg)\bigg)\\ & \quad + A_2(t) \mathbb{I}_q^{\alpha} \bigg(h(a) T\bigg(u(a), u'(a), \mathbb{D}_q^{\beta} u(a), \int_{0}^a f(r) u(r) \, \mathrm{d}r, \varphi(u(a)) \bigg)\bigg)\\ & \quad + A_3(t) \mathbb{I}_q^{\alpha+1} \bigg(h(b) T\bigg(u(b), u'(b), \mathbb{D}_q^{\beta} u(b), \int_{0}^b f(r) u(r) \, \mathrm{d}r, \varphi(u(b)) \bigg)\bigg)\\ & \leq \mathbb{I}_q^\alpha \bigg( h(t) T\bigg(|u(t)|, |u'(t)|, | \mathbb{D}_q^{\beta} u(t)|, \int_{0}^t |f(r)|| u(r)| \, \mathrm{d}r, |\varphi(u(t))| \bigg) \bigg)\\ & \quad + A_1(t) \mathbb{I}_q^{\alpha-1} \bigg( h(1) T\bigg(|u(1)|, |u'(1)|, | \mathbb{D}_q^{\beta} u(1)|,\\ & \quad \int_{0}^1 |f(r)| |u(r)| \, \mathrm{d}r, |\varphi(u(1))| \bigg)\bigg)\\ & \quad + A_2(t) \mathbb{I}_q^{\alpha} \bigg(h(a) T\bigg(|u(a)|, |u'(a)|, | \mathbb{D}_q^{\beta} u(a)|,\\ & \quad \int_{0}^a |f(r)| |u(r)| \, \mathrm{d}r, |\varphi(u(a))| \bigg)\bigg)\\ & \quad + A_3(t) \mathbb{I}_q^{\alpha+1} \bigg(h(b) T\bigg(|u(b)|, |u'(b)|, | \mathbb{D}_q^{\beta} u(b)|,\\ & \quad \int_{0}^b |f(r)| |u(r)| \, \mathrm{d}r, |\varphi(u(b))| \bigg)\bigg)\\ & \leq \mathbb{I}_q^\alpha \bigg( h(t) T\bigg(\|u(t)\|, \|u'(t)\|, \frac{\|u'(t)\|}{\Gamma_q(2 - \beta) } , \\ & \quad m \|u(t)\| , c_1 \| u(t)\| + c_2 \| u'(t)\| \bigg) \bigg)\\ & \quad + A_1(t) \mathbb{I}_q^{\alpha-1} \bigg( h(1) T\bigg(\|u(t)\|, \|u'(t)\|,\\ & \quad \frac{\|u'(t)\|}{\Gamma_q(2 - \beta) } , m \|u(t)\| , c_1 \| u(t)\| + c_2 \| u'(t)\| \bigg) \bigg)\\ & \quad + A_2(t) \mathbb{I}_q^{\alpha} \bigg(h(a) T\bigg(\|u(t)\|, \|u'(t)\|,\\ & \quad \frac{\|u'(t)\|}{\Gamma_q(2 - \beta) } , m \|u(t)\| , c_1 \| u(t)\| + c_2 \| u'(t)\| \bigg)\bigg)\\ & \quad + A_3(t) \mathbb{I}_q^{\alpha+1} \bigg(h(b) T\bigg(\|u(t)\|, \|u'(t)\|,\\ & \quad \frac{\|u'(t)\|}{\Gamma_q(2 - \beta) } , m \|u(t)\| , c_1 \| u(t)\| + c_2 \| u'(t)\| \bigg)\bigg)\\ & \leq T\bigg(\|u(t)\|, \|u'(t)\|, \frac{\|u'(t)\|}{\Gamma_q(2 - \beta) } , \\ & \quad m \|u(t)\| , c_1 \| u(t)\| + c_2 \| u'(t)\| \bigg) \mathbb{I}_q^\alpha h(t) \\ & \quad + A_1(t) T\bigg(\|u(t)\|, \|u'(t)\|, \frac{\|u'(t)\|}{\Gamma_q(2 - \beta) }, \\ & \quad m \|u(t)\| , c_1 \| u(t)\| + c_2 \| u'(t)\| \bigg) \mathbb{I}_q^{\alpha-1} h(1) \\ & \quad + A_2(t) T\bigg(\|u(t)\|, \|u'(t)\|, \frac{\|u'(t)\|}{\Gamma_q(2 - \beta) } , \\ & \quad m \|u(t)\| , c_1 \| u(t)\| + c_2 \| u'(t)\| \bigg) \mathbb{I}_q^{\alpha} h(a)\\ & \quad + A_3(t) T\bigg(\|u(t)\|, \|u'(t)\|, \frac{\|u'(t)\|}{\Gamma_q(2 - \beta) } , \\ & \quad m \|u(t)\| , c_1 \| u(t)\| + c_2 \| u'(t)\| \bigg) \mathbb{I}_q^{\alpha+1} h(b) \\ & \leq T\big( \ell \|u(t)\|_*, \ell \|u(t)\|_*, \ell \|u(t)\|_*, \ell \|u(t)\|_*, \ell \|u(t)\|_* \big) \|\hat{h}\|_1 \\ & \quad \times \big[ A_0 + A_1(t) + A_2(t) + A_3(t) \big] \\ & \leq T( \ell r, \ell r,\ell r, \ell r, \ell r) \|\hat{h}\|_1 \big[ A_0 + A_1(t) + A_2 (t) + A_3(t) \big]\\ & \leq \ell r (\lambda + \varepsilon ) \|\hat{h}\|_1 \big[ A_0 + A_1(t) + A_2 (t) + A_3(t) \big]\\ & = \eta \bigg( \ell (\lambda + \varepsilon) \|\hat{h}\|_{1} \big[ A_0 + A_1(t) + A_2 (t) + A_3(t) \big]\bigg). \end{align*}

    Therefore,

    \begin{align*} \|\Theta_u\| & \leq \eta \bigg( \ell (\lambda + \varepsilon) \|\hat{h}\|_{1} \big[ A_0 + A_1(t) + A_2 (t) + A_3(t) \big]\bigg)\leq \eta. \end{align*}

    Also,

    \begin{align*} |\Theta'_{u}(t)| & \leq \bigg|- \mathbb{I}_q^{\alpha-1} w \bigg( t, u(t), u'(t), \mathbb{D}_q^{\beta} u(t), \int_0^t f(r) u(r) \, \mathrm{d}r, \varphi(u(t)) \bigg) \\ & \quad + \frac{b}{\mu(a, b)} \mathbb{I}_q^{\alpha-1} w \bigg( 1, u(1), u'(1), \mathbb{D}_q^{\beta} u(1), \int_0^1 f(r) u(r) \, \mathrm{d}r, \varphi(u(1)) \bigg) \\ & \quad + \frac{b}{\mu(a, b)} \mathbb{I}_q^{\alpha} w \bigg( a, u(a), u'(a), \mathbb{D}_q^{\beta} u(a), \int_0^a f(r) u(r) \, \mathrm{d}r, \varphi(u(a)) \bigg) \\ & \quad + \frac{1}{\mu(a, b)} \mathbb{I}_q^{\alpha+1} w \bigg( b, u(b), u'(b), \mathbb{D}_q^{\beta} u(b), \int_0^b f(r) u(r) \, \mathrm{d}r, \varphi(u(b)) \bigg)\bigg|\\ & \leq \mathbb{I}_q^{\alpha-1} \bigg|w \bigg( t, u(t), u'(t), \mathbb{D}_q^{\beta} u(t), \int_0^t f(r) u(r) \, \mathrm{d}r, \varphi(u(t)) \bigg)\bigg| \\ & \quad + \frac{b}{\mu(a, b)} \mathbb{I}_q^{\alpha-1} \bigg|w \bigg( 1, u(1), u'(1), \mathbb{D}_q^{\beta} u(1), \int_0^1 f(r) u(r) \, \mathrm{d}r, \varphi(u(1)) \bigg)\bigg| \\ & \quad + \frac{b}{\mu(a, b)} \mathbb{I}_q^{\alpha} \bigg|w \bigg( a, u(a), u'(a), \mathbb{D}_q^{\beta} u(a), \int_0^a f(r) u(r) \, \mathrm{d}r, \varphi(u(a)) \bigg)\bigg| \\ & \quad + \frac{1}{\mu(a, b)} \mathbb{I}_q^{\alpha+1} \bigg|w \bigg( b, u(b), u'(b), \mathbb{D}_q^{\beta} u(b), \int_0^b f(r) u(r) \, \mathrm{d}r, \varphi(u(b)) \bigg)\bigg|\\ & \leq \mathbb{I}_q^{\alpha-1} \bigg( h(t) T \bigg( u(t), u'(t), \mathbb{D}_q^{\beta} u(t), \int_0^t f(r) u(r) \, \mathrm{d}r, \varphi(u(t)) \bigg)\bigg) \\ & \quad + \frac{b}{\mu(a, b)} \mathbb{I}_q^{\alpha-1} \bigg( h(1) T \bigg( u(1), u'(1), \mathbb{D}_q^{\beta} u(1), \int_0^1 f(r) u(r) \, \mathrm{d}r, \varphi(u(1)) \bigg)\bigg) \\ & \quad + \frac{b}{\mu(a, b)} \mathbb{I}_q^{\alpha} \bigg( h(a) T \bigg( u(a), u'(a), \mathbb{D}_q^{\beta} u(a), \int_0^a f(r) u(r) \, \mathrm{d}r, \varphi(u(a)) \bigg)\bigg) \\ & \quad + \frac{1}{\mu(a, b)} \mathbb{I}_q^{\alpha+1} \bigg( h(b) T \bigg( u(b), u'(b), \mathbb{D}_q^{\beta} u(b), \int_0^b f(r) u(r) \, \mathrm{d}r, \varphi(u(b)) \bigg)\bigg)\\ & \leq \mathbb{I}_q^{\alpha-1} \bigg( h(t) T \bigg( u(t), u'(t), \mathbb{D}_q^{\beta} u(t), \int_0^t f(r) u(r) \, \mathrm{d}r, \varphi(u(t)) \bigg)\bigg) \\ & \quad + \frac{b}{\mu(a, b)} \mathbb{I}_q^{\alpha-1} \bigg( h(1) T \bigg( u(1), u'(1), \mathbb{D}_q^{\beta} u(1), \int_0^1 f(r) u(r) \, \mathrm{d}r, \varphi(u(1)) \bigg)\bigg) \\ & \quad + \frac{b}{\mu(a, b)} \mathbb{I}_q^{\alpha} \bigg( h(a) T \bigg( u(a), u'(a), \mathbb{D}_q^{\beta} u(a), \int_0^a f(r) u(r) \, \mathrm{d}r, \varphi(u(a)) \bigg)\bigg) \\ & \quad + \frac{1}{\mu(a, b)} \mathbb{I}_q^{\alpha+1} \bigg( h(b) T \bigg( u(b), u'(b), \mathbb{D}_q^{\beta} u(b), \int_0^b f(r) u(r) \, \mathrm{d}r, \varphi(u(b)) \bigg)\bigg)\\ & \leq \mathbb{I}_q^{\alpha-1} \bigg( h(t) T \bigg( \|u(t)\|, \|u'(t)\|, \frac{\|u'(t)\|}{\Gamma_q(2-\beta)} , \\ & \quad m \|u(t)\|, c_1 \| u(t)\| + c_2 \| u'(t)\| \bigg)\bigg) \\ & \quad + \frac{b}{\mu(a, b)} \mathbb{I}_q^{\alpha-1} \bigg( h(1) T \bigg( \|u(t)\|, \|u'(t)\|, \frac{ \|u'(t)\|}{\Gamma_q(2-\beta)} , \\ & \quad m \|u(t)\|, c_1 \| u(t)\| + c_2 \| u'(t)\| \bigg)\bigg) \\ & \quad + \frac{b}{\mu(a, b)} \mathbb{I}_q^{\alpha} \bigg( h(a) T \bigg( \|u(t)\|, \|u'(t)\|, \frac{\|u'(t)\|}{\Gamma_q(2-\beta)} , \\ & \quad m \|u(t)\|, c_1 \| u(t)\| + c_2 \| u'(t)\| \bigg)\bigg) \\ & \quad + \frac{1}{\mu(a, b)} \mathbb{I}_q^{\alpha+1} \bigg( h(b) T \bigg( \|u(t)\|, \|u'(t)\|, \frac{\|u'(t)\|}{\Gamma_q(2-\beta)} , \\ & \quad m \|u(t)\|, c_1 \| u(t)\| + c_2 \| u'(t)\| \bigg)\bigg)\\ & \leq T \bigg( \|u(t)\|, \|u'(t)\|, \frac{\|u'(t)\|}{\Gamma_q(2-\beta)} , m \|u(t)\|, c_1 \| u(t)\| + c_2 \| u'(t)\| \bigg) \mathbb{I}_q^{\alpha-1} ( h(t)) \\ & \quad + \frac{b}{\mu(a, b)} T \bigg( \|u(t)\|, \|u'(t)\|, \frac{\|u'(t)\|}{\Gamma_q(2-\beta)} , m \|u(t)\|, c_1 \| u(t)\| + c_2 \| u'(t)\| \bigg) \mathbb{I}_q^{\alpha-1} ( h(1) ) \\ & \quad + \frac{b}{\mu(a, b)} T \bigg( \|u(t)\|, \|u'(t)\|, \frac{\|u'(t)\|}{\Gamma_q(2-\beta)} , m \|u(t)\|, c_1 \| u(t)\| + c_2 \| u'(t)\| \bigg) \mathbb{I}_q^{\alpha} ( h(a) ) \\ & \quad + \frac{1}{\mu(a, b)} T \bigg( \|u(t)\|, \|u'(t)\|, \frac{\|u'(t)\|}{\Gamma_q(2-\beta)} , m \|u(t)\|, c_1 \| u(t)\| + c_2 \| u'(t)\| \bigg) \mathbb{I}_q^{\alpha+1} ( h(b) )\\ & \leq T(\ell \|u\|_{*}, \cdots, \ell \|u\|_{*}) \|\hat{h} \|_1 \\ & \quad \times \bigg[ \frac{1}{\Gamma_q(\alpha-1)} + \frac{b}{\mu(a, b) \Gamma_q(\alpha-1)} + \frac{b}{\mu(a, b)\Gamma_q(\alpha)} + \frac{1}{\mu(a, b)\Gamma_q(\alpha + 1)} \bigg]\\ & \leq T(\ell r, \cdots, \ell r) \|\hat{h}\|_1 \\ & \quad \times \bigg[\frac{1}{\Gamma_q(\alpha-1)} + \frac{b}{\mu(a, b) \Gamma_q(\alpha-1)} + \frac{b}{\mu(a, b)\Gamma_q(\alpha)} + \frac{1}{\mu(a, b)\Gamma_q(\alpha + 1)} \bigg]\\ & \leq (\ell r) (\lambda + \varepsilon_0) \|\hat{h}\|_1\\ & \quad \times \bigg[ \frac{1}{\Gamma_q(\alpha-1)} + \frac{b}{\mu(a, b) \Gamma_q(\alpha-1)} + \frac{b}{\mu(a, b)\Gamma_q(\alpha)} + \frac{1}{\mu(a, b)\Gamma_q(\alpha + 1)} \bigg]. \end{align*}

    Indeed,

    \begin{align*} | \Theta'_{u}(t)| & \leq (\ell r) (\lambda + \varepsilon_0) \|\hat{h}\|_1 \\ & \quad \times \bigg[ \frac{1}{\Gamma_q(\alpha-1)} + \frac{b}{\mu(a, b) \Gamma_q(\alpha-1)} + \frac{b}{\mu(a, b)\Gamma_q(\alpha)} \\ & \quad + \frac{1}{\mu(a, b)\Gamma_q(\alpha + 1)} \bigg]\\ & \leq r. \end{align*}

    Hence, \|\Theta_u\|_{*} \leq \eta and so \Theta_u \in E . Using a similar proof, we can show that \Theta_v \in E . This implies \alpha(\Theta_u, \Theta_v) \geq 1 and so \Theta_u is \alpha -admissible. It is obvious that, E \neq \emptyset . Choose u_0 \in E . Hence, \Theta_{u_0} \in E , and so \alpha(u_0, \Theta_{u_0}) \geq 1 . Let u, v \in E . Then,

    \xi \leq \|u\|_{*} + \| v\|_{*} \leq 2 \eta \leq \eta_1,

    where \xi = \|u-v\|_{*} . Also using (3.5), we have

    \| \Theta_{u} - \Theta_{v} \|_{*} \leq M_{\alpha, a, b} \sum\limits_{i = 1}^{k_0} \|\hat{\mu}_i\|_1 M_i(\ell \xi, \dots, \ell \xi).

    Now, by using (3.8), we conclude that

    \begin{align*} \| \Theta_{u} - \Theta_{v} \|_{*} & \leq M_{\alpha, a, b} \sum\limits_{i = 1}^{k_0} \|\hat{\mu}_i\|_1 (p_i + \varepsilon_1) (\ell \xi)^{\gamma_i}\\ & \leq M_{\alpha, a, b} \sum\limits_{i = 1}^{k_0} \|\hat{\mu}_i\|_1 (p_i + \varepsilon_1) \ell^{\gamma_i} \xi^{ \gamma_i} \\ & \leq M_{\alpha, a, b} \bigg[ \sum\limits_{i = 1}^{k_0} \| \hat{\mu}_i\|_1 (p_i + \varepsilon_1) \ell^{\gamma_i}\bigg] \xi^{\gamma}, \end{align*}

    where \gamma = \min \{\gamma_1, \dots, \gamma_{k_0} \} . We take:

    \eta = M_{\alpha, a, b} \sum\limits_{i = 1}^{k_0} \|\hat{\mu}_i\|_1 p_i \ell^{ \gamma_i}.

    Note that, \eta \in [0, 1) . Define the map \mathtt{ψ} : [0, \infty) \to \mathbb{R}^{+} by

    \mathtt{ψ}(t) = \begin{cases} \eta t^{\gamma} & t \in [0, 1),\\ \eta t & t \in [1, \infty). \end{cases}

    Then, \mathtt{ψ} is nondecreasing and

    \sum\limits_{i = 1}^{\infty} \mathtt{ψ}^{i}(t) = \eta t^{\gamma}+ \eta^{2} t^{2 \gamma}+ \dots \leq \sum\limits_{i = 1}^{\infty} \eta^i t^{\gamma} = \frac{\tau}{ 1- \eta} t^{\gamma} < \infty,

    for 0\leq t < 1 . Also, we obtain

    \sum\limits_{i = 1}^{\infty} \mathtt{ψ}^{i}(t) = \frac{\eta}{1- \eta} t < \infty,

    for t \in [1, \infty) . Thus, \sum_{i = 1}^{\infty} \mathtt{ψ}^{i}(t) is a convergent series for all t \geq 0 and so \mathtt{ψ} \in \Psi . Also, we have

    \alpha ( u, v) \| \Theta_u - \Theta_v\|_{*} \leq \phi (\xi).

    If u \notin E or v \notin E , then the last inequality holds obviously. This shows that

    \alpha( u, v) d( \Theta_u, \Theta_v) \leq \phi (d( u, v)),

    for all u, v \in \bar{\mathcal{B}} . Now, Lemma 2.6 implies that \Theta has a fixed point that is the solution for problem (1.1).

    The following illustrative example is given to support the validity of our main results. A computational method is provided here to test the proposed problem (1.1). Linear motion is commonly basic among all other motions. From the 1st law of Newton's motion, objects that are not experiencing any net force will continue to move in a straight line with a constant velocity until they are subjected to a net force.

    Example 4.1. We consider a constrained motion of a particle along a straight line restrained by two linear springs with equal spring constant (stiffness coefficient) under external force and fractional damping along the t -axis (Figure 1).

    Figure 1.  A particle along a straight line restrained by two linear springs with equal spring constant.

    We consider the pointwise defined equation:

    \begin{align} 100 \theta(t) {}^c \mathbb{D}_q^{2.5} u(t) & + p(t) u(t) = - p(t) \bigg( |u'(t)| + \bigg| \mathbb{D}_q^{\frac{1}{2}} u(t)\bigg| \\ & \quad + \bigg|\int_0^t \frac{u(r) }{ \sqrt{r} } \, \mathrm{d}r\bigg| + |\sin( u(t) ) |\bigg), \end{align} (4.1)

    where

    p(t) = \frac{1}{8} \left( 2-2 L - \eta^2 L - \eta^2 L \cos t \right),

    \eta is constant and L is the unstretched length of the spring. We change Eq (4.1) into a form of the problem (1.1) as follows:

    \begin{align} \mathbb{D}_q^{\frac{5}{2} } u(t) & = \frac{1}{100\, \theta(t)} \bigg( |u(t)| + |u'(t)| + \bigg| \mathbb{D}_q^{\frac{1}{2}} u(t)\bigg| \\ & \quad + \bigg|\int_0^t \frac{u(r) }{ \sqrt{r} } \, \mathrm{d}r\bigg| + |\sin( u(t) ) | \bigg) \end{align} (4.2)

    with boundary conditions:

    \int_0^{\frac{1}{3}} u({r}) \, \mathrm{d}r = 0,\; \; \; \; u'(1) = u(\frac{1}{4}),\; \; \; \; u''(0) = 0.

    Also

    \theta(t) = \begin{cases} 0 & t\in \bar{J} \cap \mathbb{Q},\\ 1-t & t\in \bar{J} \cap \mathbb{Q}^c. \end{cases}

    Take \alpha = \frac{5}{2}\geq 2 , \beta = \frac{1}{2}\in J , a = \frac{1}{4}\in J , b = \frac{1}{3} \in J , k_0 = 1 , \gamma_1 = 1 , \mu_1 (t) = h(t) = \frac{1}{\theta (t) } , c_1 = \frac{1}{3} , c_2 = \frac{2}{3} , f(\xi) = \frac{u(\xi)}{\sqrt{\xi} } , \varphi(x) = \sin(x) and

    T ( u_1, \dots , u_5) = \Omega_1( u_1, \dots, u_5) = \frac{1}{ 500} \Big( | u_1| + \dots + |u_5| \Big).

    Then, we get:

    |\varphi(u) - \varphi(v)| = | \sin(u) - \sin(v)| \leq |u- v| = c_1 |u - v| + c_2 |u' - v'|,
    |w( t, u_1 , \dots, u_5) - w(t, v_1, \dots, v_5)| \leq \mu_1(t) \Big[ | u_1 - v_1| + \dots + |u_5 - v_5|\Big],
    p_1 = \lim\limits_{\nu \to 0^{+}} \frac{ \Omega_1(\nu, \nu, \nu, \nu, \nu)}{\nu^{\gamma_1}} = \lim\limits_{\nu \to 0^{+}} \frac{5 |\nu|}{500 \nu} = 0.01,

    \mu_1, h \in L^1 , m = \|h\|_1 = 2 ,

    \| \hat{h}\|_{\bar{J}} = \| \hat{\mu}_1\|_{ \bar{J}} = \int_0^1 \frac{1}{ \theta (s) }( 1 - s)^{\alpha -2} \, \mathrm{d}s = \int_0^1 \frac{( 1 -s)^{\frac{1}{2} } }{ 1-s} \, \mathrm{d}s = 2,
    |w(t, u_1, \dots, u_5)| \leq h(t) T(u_1, \dots, u_5),

    T, \Omega_1 are non-negative and non-decreasing with respect to u_1, \dots, u_5 ,

    {\mu(a, b) } = b (1-a ) + \frac{b^{2}}{2} = \frac{11}{36},
    \ell = \max \bigg\{ 1, \frac{1}{\Gamma_q(2- \beta)}, m, c_1 +c_2 \bigg\} = \max \bigg\{ 1, \frac{1}{\Gamma_q(\frac{3}{2})}, 2, 1 \bigg\} = 2,
    \begin{align*} M_{\alpha, a, b}& = \max \bigg\{ \frac{1}{\Gamma_q(\alpha)} + \frac{b (2-a) - \mu(a, b)}{\mu(a, b) \Gamma_q(\alpha - 1)} + \frac{\mu(a, b) + ab}{\mu(a, b) \Gamma_q(\alpha ) } \\ & \quad + \frac{ \mu(a, b) (1- a ) + 1 }{\mu(a, b) \Gamma_q(\alpha + 1 )}, \frac{1}{\Gamma_q(\alpha - 1)} +\frac{b} {\mu(a, b) \Gamma_q(\alpha - 1)} \\ & \quad + \frac{b}{\mu(a, b) \Gamma_q(\alpha)} + \frac{1}{\mu(a, b)\Gamma_q(\alpha + 1)} \bigg\} \\ & = \max \bigg\{ \frac{25}{11\Gamma_q( \frac{5}{2}) } + \frac{10}{11 \Gamma_q(\frac{3}{2}) } + \frac{177} {44\Gamma_q(\frac{7}{2})},\\ & \quad \frac{23}{11\Gamma_q (\frac{3}{2})} + \frac{12}{11 \Gamma_q( \frac{5}{2} )} + \frac{36}{11 \Gamma_q(\frac{7}{2} )} \bigg\}. \end{align*}

    We put:

    \begin{equation} \begin{split} \Lambda_1 & = \frac{25}{11\Gamma_q( \frac{5}{2}) } + \frac{10}{11 \Gamma_q(\frac{3}{2}) } + \frac{177} {44\Gamma_q(\frac{7}{2} )},\\ \Lambda_2 & = \frac{23}{11\Gamma_q (\frac{3}{2})} + \frac{12}{11 \Gamma_q( \frac{5}{2} )} + \frac{36}{11 \Gamma_q(\frac{7}{2} )}. \end{split} \end{equation} (4.3)

    Table 1 shows the values of \Lambda_1 and \Lambda_2 for q = \left\{\frac{1}{8}, \frac{1}{2}, \frac{4}{5}, \frac{8}{9} \right\} . We can see that

    M_{\alpha, a, b} = 33.170478, 21.551855, 16.363257, 15.234356,
    Table 1.  The results of \Lambda_1, \Lambda_2 in Eq (4.3) in Example 4.1 for q \in \left\{ \frac{1}{8}, \frac{1}{2}, \frac{4}{5}, \frac{8}{9} \right\} .
    q =\frac{1}{8} q =\frac{1}{2} q =\frac{4}{5} q =\frac{8}{9}
    n \Lambda_1 \Lambda_2 \Lambda_1 \Lambda_2 \Lambda_1 \Lambda_2 \Lambda_1 \Lambda_2
    1 6.4269 33.0986 4.1726 17.6569 1.6844 4.9657 0.9465 2.2669
    2 6.4386 33.1615 4.5536 19.5549 2.1098 6.6125 1.1971 3.0219
    3 6.4401 33.1694 4.7492 20.5409 2.4808 8.1416 1.4377 3.8100
    4 6.4403 33.1703 4.8483 21.0433 2.7983 9.5087 1.6670 4.6128
    5 6.4403 33.1705 4.8982 21.2968 3.0660 10.6983 1.8838 5.4129
    \vdots \vdots \vdots \vdots \vdots \vdots \vdots \vdots \vdots
    16 6.4403 33.1705 4.9482 21.5517 4.1529 15.8174 3.4095 11.8900
    17 6.4403 33.1705 4.9482 21.5518 4.1750 15.9256 3.4840 12.2356
    18 6.4403 33.1705 4.9483 21.5518 4.1928 16.0126 3.5509 12.5482
    19 6.4403 33.1705 4.9483 21.5518 4.2070 16.0823 3.6110 12.8303
    20 6.4403 33.1705 4.9483 21.5519 4.2184 16.1383 3.6649 13.0844
    21 6.4403 33.1705 4.9483 21.5519 4.2275 16.1831 3.7132 13.3130
    \vdots \vdots \vdots \vdots \vdots \vdots \vdots \vdots \vdots
    50 6.4403 33.1705 4.9483 21.5519 4.2640 16.3630 4.0987 15.1686
    51 6.4403 33.1705 4.9483 21.5519 4.2640 16.3630 4.1002 15.1759
    52 6.4403 33.1705 4.9483 21.5519 4.2640 16.3631 4.1015 15.1824
    53 6.4403 33.1705 4.9483 21.5519 4.2640 16.3631 4.1027 15.1882
    54 6.4403 33.1705 4.9483 21.5519 4.2641 16.3631 4.1037 15.1933
    55 6.4403 33.1705 4.9483 21.5519 4.2641 16.3632 4.1047 15.1979
    \vdots \vdots \vdots \vdots \vdots \vdots \vdots \vdots \vdots
    91 6.4403 33.1705 4.9483 21.5519 4.2641 16.3633 4.1120 15.2339
    92 6.4403 33.1705 4.9483 21.5519 4.2641 16.3633 4.1121 15.2339
    93 6.4403 33.1705 4.9483 21.5519 4.2641 16.3633 4.1121 15.2340
    94 6.4403 33.1705 4.9483 21.5519 4.2641 16.3633 4.1121 15.2340
    95 6.4403 33.1705 4.9483 21.5519 4.2641 16.3633 4.1121 15.2341
    96 6.4403 33.1705 4.9483 21.5519 4.2641 16.3633 4.1121 15.2341
    97 6.4403 33.1705 4.9483 21.5519 4.2641 16.3633 4.1121 15.2341
    98 6.4403 33.1705 4.9483 21.5519 4.2641 16.3633 4.1121 15.2341
    99 6.4403 33.1705 4.9483 21.5519 4.2641 16.3633 4.1121 15.2342
    100 6.4403 33.1705 4.9483 21.5519 4.2641 16.3633 4.1121 15.2342
    101 6.4403 33.1705 4.9483 21.5519 4.2641 16.3633 4.1121 15.2342
    102 6.4403 33.1705 4.9483 21.5519 4.2641 16.3633 4.1121 15.2342
    103 6.4403 33.1705 4.9483 21.5519 4.2641 16.3633 4.1121 15.2343
    104 6.4403 33.1705 4.9483 21.5519 4.2641 16.3633 4.1121 15.2343

     | Show Table
    DownLoad: CSV

    for q = \frac{1}{8} , \frac{1}{2} , \frac{4}{5} and \frac{8}{9} , respectively. Thus, by using the numerical results, we obtain:

    \tau = \left( \ell \|\hat{h}\|_1 M_{\alpha, a, b} \right)^{-1} \geq \frac{1}{4 \times 33.1704} = 0.0075,

    whenever q = \frac{1}{8} ,

    \tau = \left( \ell \|\hat{h}\|_1 M_{\alpha, a, b} \right)^{-1} \geq \frac{1}{4 \times 21.5518} = 0.0116,

    whenever q = \frac{1}{2} ,

    \tau = \left( \ell \|\hat{h}\|_1 M_{\alpha, a, b} \right)^{-1} \geq \frac{1}{4 \times 16.3632} = 0.0153,

    whenever q = \frac{4}{5} and

    \tau = \left( \ell \|\hat{h}\|_1 M_{\alpha, a, b} \right)^{-1} \geq \frac{1}{4 \times 15.2343} = 0.0164,

    whenever q = \frac{8}{9} . Also, we can check that

    \lim\limits_{\nu \to 0^{+}} \frac{ T(\nu, \nu, \nu, \nu, \nu)}{\nu} = 0.01 \in [0, \tau),

    and for all q \in J

    M_{\alpha, a, b} \sum\limits_{i = 1}^{k_0} \| \hat{\mu}_i\|_{ \bar{J}} p_i \ell^{\gamma_i} = M_{\alpha, a, b} \times 2 \times 0.01 \times 2^1 = 0.04 M_{\alpha, a, b} < 1.

    Table 2 shows numerical results for different values of q\in J . Figure 2 shows the curve of these results. Now, according to the obtained results, Theorem 3.3 implies that problem (4.2) has a solution.

    Table 2.  The results of M_{\alpha, a, b} and (*) = M_{\alpha, a, b} \sum_{i = 1}^{k_0} \| \hat{\mu}_i\|_{ \bar{J}} p_i \ell^{\gamma_i} in Example 4.1 for q \in \left\{ \frac{1}{8}, \frac{1}{2}, \frac{4}{5}, \frac{8}{9} \right\} .
    q =\frac{1}{8} q =\frac{1}{2} q =\frac{4}{5} q =\frac{8}{9}
    n M_{\alpha, a, b} (*) M_{\alpha, a, b} (*) M_{\alpha, a, b} (*) M_{\alpha, a, b} (*)
    1 33.0986 1.3239 17.6569 0.7063 4.9657 0.1986 2.2669 0.0907
    2 33.1615 1.3265 19.5549 0.7822 6.6125 0.2645 3.0219 0.1209
    3 33.1694 1.3268 20.5409 0.8216 8.1416 0.3257 3.8100 0.1524
    4 33.1703 1.3268 21.0433 0.8417 9.5087 0.3803 4.6128 0.1845
    \vdots \vdots \vdots \vdots \vdots \vdots \vdots \vdots \vdots
    12 33.1705 1.3268 21.5499 0.8620 15.0506 0.6020 10.1272 0.4051
    13 33.1705 1.3268 21.5509 0.8620 15.3077 0.6123 10.6296 0.4252
    14 33.1705 1.3268 21.5514 0.8621 15.5153 0.6206 11.0894 0.4436
    15 33.1705 1.3268 21.5516 0.8621 15.6827 0.6273 11.5088 0.4604
    \vdots \vdots \vdots \vdots \vdots \vdots \vdots \vdots \vdots
    73 33.1705 1.3268 21.5519 0.8621 16.3633 0.6545 15.2300 0.6092
    74 33.1705 1.3268 21.5519 0.8621 16.3633 0.6545 15.2305 0.6092
    75 33.1705 1.3268 21.5519 0.8621 16.3633 0.6545 15.2309 0.6092
    76 33.1705 1.3268 21.5519 0.8621 16.3633 0.6545 15.2313 0.6093
    77 33.1705 1.3268 21.5519 0.8621 16.3633 0.6545 15.2316 0.6093
    78 33.1705 1.3268 21.5519 0.8621 16.3633 0.6545 15.2319 0.6093
    79 33.1705 1.3268 21.5519 0.8621 16.3633 0.6545 15.2322 0.6093
    80 33.1705 1.3268 21.5519 0.8621 16.3633 0.6545 15.2325 0.6093

     | Show Table
    DownLoad: CSV
    Figure 2.  Numerical results of M_{\alpha, a, b} \sum_{i = 1}^{k_0} \| \hat{\mu}_i\|_{ \bar{J}} p_i \ell^{\gamma_i} where q = \frac{1}{8} , \frac{1}{2} , \frac{4}{5} and \frac{8}{9} in Example 4.1.

    The multi-singular pointwise defined fractional q –integro-differential equation has been successfully investigated in this work. The investigation of this particular equation provides us with a powerful tool in modeling most scientific phenomena without the need to remove most parameters which have an essential role in the physical interpretation of the studied phenomena. Multi-singular pointwise defined fractional q –integro-differential equation (1.1) has been studied on a time scale under some boundary conditions. An application that describes the motion of a particle in the plane has been provided in this work to support our results' validity and applicability in the fields of physics and engineering.

    The first author was supported by Bu-Ali Sina University.

    The authors declare that they have no competing interests.



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