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Generalized exponential function and initial value problem for conformable dynamic equations

  • In this article, we define the generalized exponential function on arbitrary time scales in the conformable setting and develop its fundamental characteristics. We address the fundamental theory of a conformable fractional dynamic equation on time scales, subject to the local and non-local initial conditions. We generalized the Grönwall type inequalities in a conformable environment. The generalized exponential function and the Grönwall's inequalities are indispensable for the study of the qualitative aspects of the local initial value problem. We developed some criteria related to global existence, extension and boundedness, as well as stability of solutions.

    Citation: Awais Younus, Khizra Bukhsh, Manar A. Alqudah, Thabet Abdeljawad. Generalized exponential function and initial value problem for conformable dynamic equations[J]. AIMS Mathematics, 2022, 7(7): 12050-12076. doi: 10.3934/math.2022670

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  • In this article, we define the generalized exponential function on arbitrary time scales in the conformable setting and develop its fundamental characteristics. We address the fundamental theory of a conformable fractional dynamic equation on time scales, subject to the local and non-local initial conditions. We generalized the Grönwall type inequalities in a conformable environment. The generalized exponential function and the Grönwall's inequalities are indispensable for the study of the qualitative aspects of the local initial value problem. We developed some criteria related to global existence, extension and boundedness, as well as stability of solutions.



    Fractional calculus generalized the classical calculus to an arbitrary (non-integer) order. The history of this theory goes back to mathematicians like Leibniz (1646–1716), Liouville (1809–1882), Riemann (1826–1866), Letnikov (1837–1888), Grünwald (1838–1920) and others [16,19]. For the last three centuries, fractional calculus is getting famous, like all fields of science. It is one of the most intensively developed fields of mathematical assessment. Because of its various applications in designing, financial aspects, account, geography, likelihood and measurements, compound designing, physical science, splines, thermodynamics and neural organizations [5,9,22].

    There are some recent developments in fractional calculus and its applications. In [8], the authors studied the fractional second and third-order nonlinear Schrödinger equations. They studied symmetric and antisymmetric solutions and analyzed the influence of the Lêvy index on different solutions. Lu et al. [14] solved the fractional discrete coupled nonlinear Schrödinger equations on account of the modified Riemann-Liouville fractional derivative and Mittag Leffler function. In [13], Li et al. studied the existence, bifurcation and stability of two-dimensional optical solutions in the framework of fractional nonlinear Schrödinger equation.

    From the literature review reader can see several definitions of fractional operators like Riemann-Liouville, Caputo, Grünwald-Letnikov, Weyl, Hadamard, Marchaud and Riesz [12,15]. These types of derivatives do not satisfy the fundamental formulas of differentiation like the product rule, the quotient rule, the chain rule, etc. Khalil [12] introduced a new well-behaved simple fractional derivative known as the conformable fractional derivative (CFD) based on the derivative's basic limit concept: Suppose Φ:[0,)R be a function, then for all υ>0 and α(0,1],

    Φ(α)(υ)=lim∈→0Φ(υ+ϵυ1α)Φ(υ)ϵ,

    where Φ(α)(υ) is known as the CFD of Φ of order α. The definition of CFD introduced by Khalil retaines all the classical characteristics of the derivative, and satisfy the chain rule. This new definition attracted many researchers, some results have been obtained for the fundamental properties of the CFD in [1].

    In 1988, Hilger in his Ph. D. thesis introduced the time scale theory that has recently received a great deal of attraction to integrate and extend the discrete and continuous analysis [10]. The investigation of dynamic equations on arbitrary time scales show such distinction and helps avoid proving outcomes twice: Once for the differential equation and once for the difference equation. The basic idea is to prove a result for a dynamic equation where the domain of the function is a so-called time scale T, which is an arbitrary nonempty closed subset of reals [7].

    Bastos in his Ph. D. thesis developed fractional calculus on time [18]. The theory of fractional (non-integer order) calculus on time scales is a topic of great interest for researchers nowadays. In [6], Benkhettou et al. developed a conformable fractional calculus theory on an arbitrary time scale, which extends the conformable fractional calculus and the fundamental techniques for fractional differentiation and integration on time scales.

    Ahmed [2] discussed the class of non-local stochastic differential equations involving conformable fractional time derivative operator and the existence of mild solution for the non-local conformable stochastic differential equation. In [3], Ahmed discussed the class of conformable fractional stochastic differential equations driven by the Rosenblatt process. In [4], Ahmed studied a non-instantaneous impulsive conformable fractional stochastic delay integro-differential system driven by the Rosenblatt process.

    The exponential function on the time scale introduced by Hilger in [11] and has been devoted to solving the first-order linear dynamic equations, and second-order linear dynamic equations with constant and variable coefficients [11]. Euler-Cauchy dynamic equations on time scales have been solved using an exponential function. Exponential function for conformable fractional calculus has been defined in [17]. The conformable exponential function with respect to operator Δα has been defined [20]. This definition is implicit. In this paper, we define the generalized conformable fractional exponential function by following the conformable calculus outline and also developing its fundamental characteristics. However, our definition is explicit. The generalized exponential function is consistent with the exponential function on time scales for α=1 and consistent with CF exponential function if T=R. The generalized exponential function and these theorems are the generalizations of the exponential function on time scales discussed by Bohner et al. [7] and the conformable fractional exponential function in [17].

    In [24], the global existence, extension, boundedness and stabilities of solutions have been discussed for the following conformable fractional differential equation:

    x(α)(t)=f(t,x(t)), t[a,), 0<α<1,

    corresponding to the local and non-local initial condition x(a)=xa and x(a)+g(x)=xa respectively. We generalized the theory established in [24] to the conformable fractional dynamic equation:

    ψ(α)(s)=k(s,ψ(s)), s[0,)T, 0<α<1.

    We consider the global existence, extension, boundedness and stability of the solutions corresponding to the conformable fractional dynamic equation:

    ψ(α)(s)=k(s,ψ(s)), s[0,)T, 0<α<1, (1.1)

    according to the local initial condition

    ψ(0)=ψ0, (1.2)

    and non-local initial condition

    ψ(0)+g(ψ)=ψ0, (1.3)

    where ψ(α)(s) refers to the CFD of order α(0,1] for functions defined on arbitrary time scales T, k:[0,)T×RR. Also, k is right dense continuous and on a suitable function space g is functional.

    We structure the remaining of the paper: Section 2 recalls some essential definitions and results. Section 3 aims to define the generalized exponential function and develop its fundamental characteristics. In Section 4, we generalize the Grönwall type inequalities in the conformable setting. In Section 5, we set some rules for the global existence, extension and boundedness of solutions to the local initial value problem and then discuss the stability of solutions. Section 6 examines the existence of solutions to the nonlocal initial value problem. Finally, we conclude our findings in the last section.

    Here, we recall some basic definitions and results which are essential to the sequel [21]. Throughout this manuscript, let us denote the time scale by T and the set of all rd-continuous functions by Crd.

    Lemma 2.1. If hCrd and uTk, then

    σ(u)uh(τ)Δτ=μ(u)h(u).

    Definition 2.1. Assume that k>0, the Hilger complex number is defined by

    Ck={zC:z1k}.

    Definition 2.2. For k>0, the strip is defined by

    Zk={zC:πk<Im(z)<πk}.

    Definition 2.3. For k>0, the cylindrical transformation ξk:CkZk is defined by

    ξk(z)=1klog(1+zk),

    where log is the principal logarithm function. Notice that

    ξ1k(z)=exp(zk)1k.

    Let us denote by Cα(T,R) the set of all functions whose conformable fractional differentiable of order α is continuous, where α(0,1]. The following lemmas give some meaningful connections concerning the conformable fractional derivative on time scales [6].

    Lemma 2.2. Suppose lC(T,R) and assume vTk. If l is continuous at v where v isright-scattered, implies that lCα(T,R) at v such that

    (l)(α)(v)=l(σ(v))l(v)μ(v)v1α=lΔ(v)v1α,

    where (l)(α)()represents the conformable fractional derivative of order α(0,1].

    Lemma 2.3. Suppose h,lCα(T,R). Then

    (1) If h, lCα(T,R), then the product hlCα(T,R) with

    (hl)(α)=(h)(α)l+(hσ)(l)(α)=(h)(α)(lσ)+h(l)(α)=(hl)Δ(s)s1α.

    (2) If hCα(T,R), then 1hCα(T,R) such that

    (1h)(α)=(h)(α)h(hσ)=(1h)Δ(s)s1α,

    applicable at each points sTk for which h(s)h(σ(s))0.

    (3) If h, lCα(T,R), then hlCα(T,R) such that

    (hl)(α)=(h)(α)lh(l)(α)l(lσ)=(hl)Δ(s)s1α,

    applicable at each points sTk for which l(s)l(σ(s))0.

    Lemma 2.4. If (g(s))(α) is continuous on [c,d]T, then

    Iα(g(s))(α)=g(s)g(0),

    where Iα represents the conformable fractional integral of order α(0,1].

    Lemma 2.5. Let α(0,1]. Then for allright-dense continuous function g:TR, a functionGα:TR exists in such a way that

    [(Gα)(s)](α)=(Iαg(s))(α)=g(s),

    for each sTk. Function Gα is called an α-antiderivative of g.

    In this section, we use Definition 2.3 to define a generalized exponential function. Let us generalize the regressive concept in a conformable setting.

    Definition 3.1. A function l:TR is said to be "α-regressive" provided

    1+μ(u)l(u)uα10,  uTk,

    holds. The set of all α-regressive and right-dense continuous functions l:TR [7,Definition 1.58] is referred to as Rα.

    Definition 3.2. In Rα "α-circle plus" addition α is defined as below:

    (kαϝ)(ω)=k(ω)+ϝ(ω)+μ(ω)k(ω)ϝ(ω)ωα1,  ωTk.

    Definition 3.3. For hRα, define

    (αh)(v)=h(v)1+μ(v)h(v)vα1,  vTk.

    Definition 3.4. Define "α-circle minus" subtraction α on Rα as below:

    (lαk)(u)=(lα(αk))(u),  vTk.

    For k,lRα, we have

    (lαk)(u)=l(u)k(u)1+μ(u)k(u)uα1.

    Lemma 3.1. Show that (Rα,α) is an Abelian group.

    Proof. The proof is straight-forward, so it is left as an exercise.

    The group (Rα,α) is also called the α-regressive group.

    Remark 3.1. For α=1, it becomes regressive group [7].

    Definition 3.5. The set Rα+ of all positively α-regressive elements of Rα is defined by

    Rα+=Rα+(T,R)={f:fRα, 1+μ(t)f(t)tα1>0,  tTk}.

    Theorem 3.1. Suppose h,kRα. Then

    (1) (hαh)(τ)=0,

    (2) α(αh)(τ)=φ(τ),

    (3) (kαh)(τ)Rα,

    (4) α(hαk)(τ)=(kαh)(τ),

    (5) α(kαh)(τ)=[(αk)α(αh)](τ),

    (6) [hαk1+μhτα1](τ)=h(τ)+k(τ).

    Proof. (1) By using Definitions 3.2–3.4 respectively, it follows that

    (hαh)(τ)=(hα(αh))(τ)=h(τ)α(h(τ)1+μ(τ)h(τ)τα1)=h(τ)h(τ)1+μ(τ)h(τ)τα1h2(τ)μ(τ)τα11+μ(τ)h(τ)τα1=h(τ)+h2(τ)μ(τ)τα1h(τ)h2(τ)μ(τ)τα11+μ(τ)h(τ)τα1=0.

    (2) Definition 3.3 yields that

    α(αh)(τ)=α(h(τ)1+μ(τ)h(τ)τα1)=h(τ)1+μ(τ)h(τ)τα11μ(τ)h(τ)τα11+μ(τ)h(τ)τα1=h(τ)1+μ(τ)h(τ)τα1μ(τ)h(τ)τα1=h(τ).

    (3) By using Definitions 3.1 and 3.4 respectively, we have

    1+μ(τ)(kαh)(τ)τα1=1+μ(τ)(k(τ)h(τ)1+μ(τ)h(τ)τα1)τα1=1+μ(τ)k(τ)τα1μ(τ)h(τ)τα11+μ(τ)h(τ)τα1=1+μ(τ)h(τ)τα1+μ(τ)k(τ)τα1μ(τ)h(τ)τα11+μ(τ)h(τ)τα1=1+μ(τ)k(τ)τα11+μ(τ)h(τ)τα10.

    We note that k(τ)h(τ)1+μ(τ)h(τ)τα1 is right-dense continuous. Therefore, (kαh)(τ)Rα.

    (4) Using Definitions 3.3 and 3.4, it implies that

    α[hαk](τ)=[h(τ)k(τ)1+μ(τ)k(τ)τα1]1+μ(τ)(h(τ)k(τ)1+μ(τ)k(τ)τα1)τα1=k(τ)h(τ)1+μ(τ)h(τ)τα1=[kαh](τ).

    (5) By using Definitions 3.2 and 3.3 respectively, we get

    α[kαh](τ)=α(k(τ)+h(τ)+μ(τ)k(τ)h(τ)τα1)=[k(τ)+h(τ)+μ(τ)k(τ)h(τ)τα1]1+μ(τ)[k(τ)+h(τ)+μ(τ)k(τ)h(τ)τα1]τα1=[k(τ)+h(τ)+μ(τ)k(τ)h(τ)τα1]1+μ(τ)k(τ)τα1+μ(τ)h(τ)τα1+μ2(τ)k(τ)h(τ)τ2α2=[k(τ)+h(τ)+μ(τ)k(τ)h(τ)τα1][1+μ(τ)k(τ)τα1][1+μ(τ)h(τ)τα1].

    On the other side, using Definitions 3.2 and 3.3 respectively, we obtain

    [(αk)α(αh)](τ)=(k(τ)1+μ(τ)k(τ)τα1)α(h(τ)1+μ(τ)h(τ)τα1)=k(τ)1+μ(τ)k(τ)τα1h(τ)1+μ(τ)h(τ)τα1+μ(τ)k(τ)h(τ)τα1[1+μ(τ)k(τ)τα1][1+μ(τ)h(τ)τα1]=(k(τ)+h(τ)+μ(τ)k(τ)h(τ)τα1)[1+μ(τ)k(τ)τα1][1+μ(τ)h(τ)τα1].

    Hence,

    α(kαh)(τ)=[(αk)α(αh)](τ).

    (6) From Definition 3.2, we have

    [hαk1+μhτα1](τ)=h(τ)+k(τ)1+μ(τ)h(τ)τα1+μ(τ)h(τ)k(τ)τα11+μ(τ)h(τ)τα1=h(τ)+μ(τ)h2(τ)τα1+k(τ)+μ(τ)h(τ)k(τ)τα11+μ(τ)h(τ)τα1=h(τ)[1+μ(τ)h(τ)τα1]+k(τ)[1+μ(τ)h(τ)τα1]1+μ(τ)h(τ)τα1=h(τ)+k(τ).

    Next, we define the generalized exponential function.

    Definition 3.6. Let hRα, then the generalized exponential function is defined by

    Eh(r,0)=exp(r0ξμ(τ)(h(τ)τα1)Δτ),  0,rT. (3.1)

    To be more precise, using the definition for the cylindrical transformation Definition 2.3 we obtain

    Eh(r,0)=exp(r01μ(τ)log(1+μ(τ)h(τ)τα1)Δτ),  0, rT.

    Example 3.1. When T=R, then

    Eh(r,0)=exp(r0ξ0(h(τ)τα1)dτ)=exp(r0h(τ)dατ).

    Example 3.2. When T=Z, then

    Eh(r,0)=exp(r0ξ1(h(τ)τα1)Δτ)=exp(r1τ=0ξ(h(τ)τα1))=r1τ=0[1+h(τ)τα1].

    Example 3.3. When T=qN, q>1, then

    Eϝ(r,0)=exp(r0ξ(q1)ω(ϝ(ω)ωα1)Δω)=exp(r1ω=0[log(1+(q1)ϝ(ω)ωα)])=r1ω=0[1+(q1)ϝ(ω)ωα].

    Remark 3.2. The exponential function on arbitrary time scale [7] is obtained by choosing α=1.

    Remark 3.3. Definition 2.3 in [17] is obtained by choosing T=R.

    Theorem 3.2. (Semigroup property) If fRα, then

    Ef(t,0)Ef(0,r)=Ef(t,r), t,0,rT.

    Proof. By using Definition 3.6, we have

    Ef(t,0)Ef(0,r)=exp(t0ξμ(τ)(f(τ)τα1)Δτ)exp(0rξμ(τ)(f(τ)τα1)Δτ)=exp(trξμ(τ)(f(τ)τα1)Δτ)=Ef(t,r).

    Theorem 3.3. Suppose kRα. Then

    EΔk(v,0)=k(v)Ek(v,0)vα1

    and

    E(α)k(v,0)=k(v)Ek(v,0).

    Proof. Let σ(v)>v. Then

    EΔk(v,0)=Ek(σ(v),0)Ek(v,0)μ(v)=exp(v0ξμ(τ)(k(τ)τα1)Δτ+σ(v)vξμ(τ)(k(τ)τα1)Δτ)exp(v0ξμ(τ)(k(τ)τα1)Δτ)μ(v)=[exp(σ(v)vξμ(τ)(k(τ)τα1)Δτ)1]Ek(v,0)μ(v).

    From Lemma 2.1, it implies that

    EΔk(v,0)=[exp(μ(v)ξμ(v)(k(v)vα1))1]Ek(v,0)μ(v).

    From Definition 2.3, it follows that

    EΔk(v,0)=k(v)Ek(v,0)vα1.

    Hence we have

    E(α)k(v,0)=k(v)Ek(v,0).

    Corollary 3.1. Suppose hRα. Then Eh(u,0) is a solution of the following Cauchy problem:

    x(α)(u)=h(u)x(u), x(0)=1. (3.2)

    Proof. Let x()=Eh(,0) be a solution of Eq (3.2). First note that

    x(0)=Eh(0,0)=1.

    It remains to show that Eh(u,0) satisfies Eq (3.2). By Theorem 3.3, it follows that

    (Eh(u,0))(α)=h(u)Eh(u,0).

    Therefore,

    (x(u))(α)=h(u)x(u).

    Hence Eh(u,0) is a solution to the Cauchy problem (3.2).

    Corollary 3.2. Suppose hRα. Then Eh(v,0) is the unique solution of the IVP (3.2).

    Proof. Suppose x() be any solution of the IVP (3.2). Then by using part (3) of Lemma 2.3, it follows that

    (x(v)Eh(v,0))(α)=x(α)(v)Eh(v,0)x(v)E(α)h(v,0)Eh(σ(v),0)Eh(v,0).

    According to our assumption and Theorem 3.3, it implies that

    (x(v)Eh(v,0))(α)=h(v)x(v)Eh(v,0)x(v)h(v)Eh(v,0)Eh(σ(v),0)Eh(v,0)=0.

    Consequently, x(v)=bEh(v,0), where b is a constant. Thus,

    1=x(0)=bEh(0,0)=b.

    Hence, x(v)=Eh(v,0) is the unique solution.

    Theorem 3.4. Suppose hRα. Then

    Eh(σ(u),0)=(1+μ(u)h(u)uα1)Eh(u,0).

    Proof. Since for right-dense points (σ(u)=u), the case is trivial. And for right-scattered points (σ(u)>u), by Lemma 2.2, we have

    Eh(σ(u),0)Eh(u,0)=E(α)h(u,0)μ(u)uα1.

    Theorem 3.3 implies that

    Eh(σ(u),0)=(1+μ(u)h(u)uα1)Eh(u,0),

    which proves the desired result.

    Theorem 3.5. If lRα, then

    El(0,u)=1El(u,0)=Eαl(u,0).

    Proof. Let us consider the following IVP:

    x(α)(u)=αl(u)x(u), x(0)=1.

    First note that

    x(0)=Eαl(0,0)=1.

    Differentiating

    (x)(α)(u)=(1El(u,0))(α)=(1El(u,0))Δu1α.

    By part (2) of Lemma 2.3, Theorems 3.3, 3.4 and Definition 3.3 we obtain

    (Eαl(u,0))(α)=(EΔl(u,0)El(σ(u),0)El(u,0))u1α=(αl)(u)Eαl(u,0).

    Hence,

    (x)(α)(u)=(αl)(u)x(u),

    which proves the required result

    1El(u,0)=Eαl(u,0).

    Theorem 3.6. If h,pRα, then

    Eh(ω,0)Ep(ω,0)=Ehαp(ω,0).

    Proof. Let us consider the IVP:

    (x)(α)(ω)=(hαp)(ω)x(ω), x(0)=1.

    We show that its solution is Eh(ω,0)Ep(ω,0). We have

    x(0)=Eh(0,0)Ep(0,0)=1.

    Now by using part (1) of Lemma 2.3 it implies that

    (x)(α)(ω)=(Eh(ω,0)Ep(ω,0))(α)=(Eh(ω,0))(α)Ep(σ(ω),0)+Eh(ω,0)(Ep(ω,0))(α).

    By Theorems 3.3, 3.4 and Definition 3.2, we have

    (x)(α)(ω)={h(ω)[1+μ(ω)p(ω)ωα1]+p(ω)}Eh(ω,0)Ep(ω,0)=(hαp)(ω)Eh(ω,0)Ep(ω,0).

    Therefore,

    (x)(α)(ω)=(hαp)(ω)x(ω),

    which proves the desired result.

    Theorem 3.7. Assume h,pRα. Then

    Eh(ω,0)Ep(ω,0)=Ehαp(ω,0).

    Proof. By using Theorems 3.5 and 3.6, we have

    Eh(ω,0)Ep(ω,0)=Ehα(αp)(ω,0)=Ehαp(ω,0).

    By using Definitions 3.2–3.4, we have

    (hα(αp))(ω)=h(ω)+(αp)(ω)+μ(ω)h(ω)(αp)(ω)=(hαp)(ω),

    which proves the required result.

    Theorem 3.8. Suppose hRα. Then

    (1Eh(v,0))(α)=h(v)Eh(σ(v),0).

    Proof. By taking α-conformable fractional derivative on time scales, we have

    (1Eh(v,0))(α)=(1Eh(v,0))Δv1α.

    According to Theorems 3.3 and 3.5, it follows that

    (1Eh(v,0))(α)=(αh)Eαh(v,0).

    By using Definition 3.3 and Theorems 3.4, 3.5, we can obtain

    (1Eh(v,0))(α)=h(v)Eh(σ(v),0),

    which proves the required result.

    Theorem 3.9. Let h,lRα. Then

    E(α)hαl(v,0)=[h(v)l(v)]Eh(v,0)El(σ(v),0).

    Proof. By taking α-conformable fractional derivative on time scales, we have

    E(α)hαl(v,0)=[EΔhαl(v,0)]v1α.

    Theorem 3.7 and using part (3) of Lemma 2.3 implies that

    E(α)hαl(v,0)=[EΔh(v,0)El(v,0)Eh(v,0)EΔl(v,0)El(v,0)El(σ(v),0)]v1α.

    By applying Theorem 3.3, we obtain

    E(α)hαl(v,0)=(h(v)l(v))Eh(v,0)El(σ(v),0),

    which proves the required result.

    Theorem 3.10. Suppose hRα and c,d,0T.Then

    (Eh(0,v))(α)=h(v)Eh(0,σ(v))

    and

    dch(v)Eh(0,σ(v))Δαv=Eh(0,c)Eh(0,d).

    Proof. Firstly, according to Theorems 3.4 and 3.5, we obtain

    h(v)Eh(0,σ(v))=h(v)[1+μ(v)(αh)(v)vα1]Eαh(v,0).

    According to Definition 3.3, Theorems 3.3 and 3.5, it follows that

    E(α)h(0,v)=h(v)Eh(0,σ(v)),

    which proves our first part.

    Now, taking both sides the α-conformable fractional integral, we have

    dch(v)Eh(0,σ(v))Δαv=Eh(0,c)Eh(0,d),

    which gives the desired result.

    Theorem 3.11. Let kRα. Then

    Eαk(σ(v),u)=(1+(αk)(v)μ(v)vα1)Eαk(v,u).

    Proof. By Lemma 2.2, it implies that

    Eαk(σ(v),u)Eαk(v,u)=E(α)αk(v,u)μ(v)vα1.

    From Theorem 3.3, we obtain

    Eαk(σ(v),u)=[1+(αk)(v)μ(v)vα1]Eαk(v,u).

    Similarly, we find

    Ek(u,σ(v))=[1+k(v)μ(v)vα1]Ek(u,v).

    Theorem 3.12. Let kRα. Then

    (Ek(η,ω))(α)=k(ω)Ek(η,σ(ω))

    and

    η0k(η)Ek(η,σ(ω))Δαω=Ek(η,0)1.

    Proof. From Theorems 3.5 and 3.11, we obtain

    k(ω)Ek(η,σ(ω))=k(ω)(1+αk(ω)μ(ω)ωα1)Eαk(ω,η).

    Definition 3.3, Theorems 3.3 and 3.5 implies that

    E(α)k(η,ω)=k(ω)Ek(η,σ(ω)),

    which proves our first part.

    Therefore, conformable α-fractional integration on time scales implies

    η0k(η)Ek(η,σ(ω))Δαω=Ek(η,0)1,

    which proves the required result.

    Theorem 4.1. Let y,fCrd and pRα+. Then

    (y)(α)(t)p(t)y(t)+f(t),for all tTk,

    implies

    y(t)y(0)Ep(t,0)+t0Ep(t,σ(τ))f(τ)Δατ, tT.

    Proof. By using part (1) of Lemma 2.3, Theorems 3.3 and 3.4, we have

    [yEαp(t,0)](α)(t)=y(α)(t)Eαp(σ(t),0)+((αp)(t)1+μ(t)(αp)(t)tα1)y(t)Eαp(σ(t),0).

    Definition 3.3 implies that

    [yEαp(t,0)](α)(t)=[y(α)(t)p(t)y(t)]Eαp(σ(t),0).

    Now taking the α-conformable fractional integral on time scales, and by using Lemma 2.4, it implies that

    y(t)Eαp(t,0)y(0)Eαp(0,0)=t0[y(α)(τ)p(τ)y(τ)]Eαp(σ(τ),0)Δατ.

    By given assumption and using Theorem 3.5, we obtain

    y(t)y(0)Ep(t,0)+t0f(τ)Eαp(σ(τ),0)Eαp(t,0)Δατ.

    And hence the assertion follows by applying Theorem 3.2:

    y(t)y(0)Ep(t,0)+t0f(τ)Ep(t,σ(τ))Δατ,

    which proves the required result.

    Theorem 4.2. Let y,fCrd and pRα+, p0. Then

    y(t)f(t)+t0y(τ)p(τ)Δατ, tT,

    implies that

    y(t)f(t)+t0Ep(t,σ(τ))f(τ)p(τ)Δατ, tT.

    Proof. Define

    z(t):=t0y(τ)p(τ)Δατ,  tT.

    Then z(0)=0 and

    y(t)f(t)+z(t). (4.1)

    By using Lemma 2.5 and Eq (4.1), we obtain

    z(α)(t)=y(t)p(t)f(t)p(t)+p(t)z(t).

    Theorem 4.1 yields

    z(t)t0Ep(t,σ(τ))p(τ)f(τ)Δατ.

    And hence the claim follows because of Eq (4.1). Therefore,

    y(t)f(t)+t0Ep(t,σ(τ))f(τ)p(τ)Δατ,

    which completes the proof.

    Theorem 4.3. (Grönwall's inequality) Let y,pCrd, pRα+and λ0 such that

    y(t)λ+t0y(τ)p(τ)Δατ, t[0,b]T,

    then

    y(t)λEp(t,0), t[0,b]T. (4.2)

    Proof. Let f(t)=λ. Then by Theorem 4.2, it follows that

    y(t)λ[1+t0Ep(t,σ(τ))p(τ)Δατ].

    From Theorem 3.12, we obtain

    y(t)=λ[1+Ep(t,0)Ep(t,t)]=λEp(t,0).

    Therefore,

    y(t)λEp(t,0),

    which completes the proof.

    Remark 4.1. For α=1 and T=R, we obtained the Grönwall's inequalities in classical calculus.

    We will develop some conditions for the global existence, extension and boundedness of solutions related to the local initial value problem (LIVP) in the following section.

    The following assumptions will be needed throughout the following section.

    Suppose Ω=[0,)T×R.

    (H1) The mapping k:ΩR is right-dense continuous.

    (H2) A positive constant K>0 exists in such manner that, for all (τ,x), (τ,x) in Ω,

    |k(τ,x)k(τ,y)|K|xy|.

    (H3) A nonnegative mapping l0 exists in such manner that, for all (τ,x) in Ω,

    |k(τ,x)|l(τ)|x|,

    for which

    τ0ξμ(r)(l(r))Δαr

    is bounded on [0,)T.

    (H4) A nonnegative mapping h0 and a positive constant K>0 exists in such manner that, for all (τ,x), (τ,y) in Ω,

    |k(τ,x)k(τ,y)|h(τ)|xy|K|xy|,

    for which

    τ0ξμ(r)(h(r))Δαr

    is bounded on [0,)T.

    Through Lemmas 2.4 and 2.5, the LIVP (1.1) and (1.2) is simply transformed into an Integral Equation (IE).

    Lemma 5.1. If (H1) holds, then a function ψ in C([0,b]T) is a solution of local initial value problem (1.1) and (1.2) if and only if ψ is acontinuous solution of the following integral equation:

    ψ(τ)=ψ0+τ0k(r,ψ(r))Δαr, τ[0,a]T. (5.1)

    We can now demonstrate the existence and uniqueness of the solution to the LIVP (1.1) and (1.2) as a consequence of Definition 3.6.

    Theorem 5.1. The local initial value problem (1.1) and (1.2)has unique solution defined on [0,a]T wheneverthe assumptions (H1) and (H2) hold.

    Proof. The claim will be verified via Banach's contraction principle on C([0,a]T). Let k>0 be a constant and kRα+ and let denote the Euclidean norm on Rn. Define the interval [0,a]T. Let us denote by C([0,a]T) the space of continuous functions along with a suitable norm. Define the term "TZ-norm"

    ψk=supτ[0,σ(a)]Tψ(τ)Ek(τ,0),

    where Ek(τ,0) in Defintion 3.6. The well-known sup-norm

    ψ0=supτ[0,σ(a)]Tψ(τ).

    It is simple to prove that k is equivalent to 0. Hence (C([0,a]T),k) is Banach space.

    Define an operator

    T:(C([0,a]T),k)(C([0,a]T),k)

    as

    T(ψ(τ))=ψ(0)+τ0k(r,ψ(r))Δαr.

    Lemma 5.1 assures that the fixed points of the operator T are the solutions of local IVP (1.1) and (1.2).

    For any ψ,φ(C([0,a]T),k), then

    T(ψ)T(φ)k=supτ[0,σ(a)]TT(ψ(τ))T(φ(τ))Ek(τ,0)supτ[0,σ(a)]T[1Ek(τ,0)τ0k(r,ψ(r))k(r,φ(r))Δαr].

    By (H2), it follows that

    T(ψ)T(φ)ksupτ[0,σ(a)]T[1Ek(τ,0)τ0Kψ(r)φ(r)Δαr]=Ksupτ[0,σ(a)]T[1Ek(τ,0)τ0Ek(r,0)ψ(r)φ(r)Ek(r,0)Δαr]Ksupr[0,σ(a)]Tψ(r)φ(r)Ek(r,0)×supτ[0,σ(a)]T[1Ek(τ,0)τ0Ek(r,0)Δαr]=Kψφksupτ[0,σ(a)]T[1Ek(τ,0)τ0Ek(r,0)Δαr].

    Thus, it implies that

    T(ψ)T(φ)k<Kψφksupτ[0,σ(a)]T[1Ek(τ,0)τ0Ek(r,0)Δαr]. (5.2)

    Now we have to find

    τ0Ek(r,0)Δαr.

    By Theorem 3.3, it implies that

    Ek(r,0)=1kE(α)k(r,0),

    where k>0 be a positive constant. Then by taking α-conformable fractional integral, it follows that

    τ0Ek(r,0)Δαr=τ01kE(α)k(r,0)Δαr.

    By using Lemma 2.4, we obtain

    τ0Ek(r,0)Δαr=1k[Ek(τ,0)1]. (5.3)

    Now, using Eq (5.3) in Eq (5.2), it follows that

    T(ψ)T(φ)k<Kψφksupτ[0,σ(a)]T[1kEk(τ,0)[Ek(τ,0)1]]<Kkψφksupτ[0,σ(a)]T[11Ek(τ,0)]<Kkψφksupτ[0,σ(a)]T[11Ek(σ(a),0)].

    Therefore,

    T(ψ)T(φ)k<Kkψφk.

    As 0<Kk<1, we observe that T is a contractive map and the Banach contraction principle assures that there exists only one solution ψ in C([0,a]T) such that T(ψ)=ψ, and therefore the LIVP (1.1) and (1.2) has unique ψ in C([0,a]T). This completes the proof.

    Next, we investigate the expansion to the right of the solutions of LIVP (1.1) and (1.2).

    Lemma 5.2. Suppose ψ(τ) is a solution to thelocal IVP (1.1) and (1.2) defined on [0,τ+)T such that τ+. If limττ+ψ(τ) exists, then ψ(τ) can be expanded to [0,τ+]T provided the hypothesis (H1) holds.

    Proof. Here, τ+ is a right-dense point. Let limττ+ψ(τ)=ψ+. Now suppose J=[0,τ+)T and define a function ˜ψ(τ) by

    ˜ψ(τ)={ψ(τ),τ[0,τ+)T,ψ+,τ=τ+.

    By [6,part (ⅰ) of Theorem 4] and since limττ+ψ(τ)=ψ+, therefore the function ˜ψ(τ) is surely continuous on [0,τ+]T. We next demonstrate that the function ˜ψ(τ) is also a solution of the LIVP (1.1) and (1.2) defined on [0,τ+]T, and obviously, it is sufficient to prove

    ˜ψ(α)(τ+)=k(τ+,˜ψ(τ+)).

    Note that the equation

    ˜ψ(α)(τ)=k(τ,˜ψ(τ)), τ[0,τ+)T.

    And the continuities of ˜ψ and k gives that

    limττ+˜ψ(α)(τ)=k(τ+,˜ψ(τ+)). (5.4)

    Moreover, using mean value theorem [23,Theorem 15], we see that for all τ in [0,τ+)T, a point ζ in [τ,τ+]kT such that

    ˜ψ(α)(ζ)=˜ψ(τ+)˜ψ(τ)τ+τζ1α, ζ[τ,τ+]kT.

    Now taking the limττ+ on both sides and using Eq (5.4), we obtain

    k(τ+,˜ψ(τ+))=(limττ+˜ψ(τ+)˜ψ(τ)τ+τ)(limττ+τ1α)=˜ψΔ(τ+)(τ+)1α.

    By Lemma 2.2, we conclude that

    ˜ψ(α)(τ+)=k(τ+,˜ψ(τ+)).

    Hence, we have shown that the function ˜ψ(τ) is also a solution of the LIVP (1.1) and (1.2) defined on [0,τ+]T, and it is an extension of the solution ψ(τ) to [0,τ+]T. Therefore, the required result follows.

    Definition 5.1. Suppose I is the maximal existence interval of the solution ψ(τ) of the LIVP (1.1) and (1.2), then ψ(τ) is said to be come arbitrarily close to the boundary of Ω=[0,)T×R to the right if it is not possible for every closed and bounded domain Ω0 in Ω, the point (τ,ψ(τ)) always remains in Ω0 for all τ in I.

    Theorem 5.2. If (H1) and (H2) hold, then the solution of the local initial value problem (1.1) and (1.2) comes arbitrarily close to the boundary of Ω=[0,)T×R to the right.

    Proof. The local IVP (1.1) and (1.2) has a unique solution by Theorem 5.1, and refers to the solution by ψ(τ). Suppose I refers to the maximal existence interval of ψ(τ). Again, we conclude that using Theorem 5.1, I=[0,)T or [0,τ+)T with τ+. The required result is clear when I=[0,)T. Now, assume the case I=[0,τ+)T with τ+. Conversely, suppose that the desired result is not true. That is, the solution ψ(τ) of the LIVP (1.1) and (1.2) does not go arbitrarily near to the boundary of Ω=[0,)T×R to the right implies that Ω0Ω exists such that Ω0 is closed and bounded with (τ,ψ(τ))Ω0, τI. Because k on Ω0Ω is continuous, a positive number C must exist such that

    |k(τ,ψ(τ))|C for all τI. (5.5)

    Furthermore, mean value theorem [23] ensures that, for any τ1,τ2 in I with τ1<τ2, a point ξ exists in [τ1,τ2]kT such that

    ψ(τ2)ψ(τ1)=[ξα1(k)(α)(ξ)](τ2τ1).

    From Eqs (1.1) and (5.5), it follows that

    |ψ(τ2)ψ(τ1)|=|k(ξ,ψ(ξ))|ξ1α[|τ2τ1|]Cξ1α[|τ2τ1|].

    Therefore,

    |ψ(τ2)ψ(τ1)|<ϵ whenever |τ2τ1|<ϵξ1αC=δ,|ψ(τ2)ψ(τ1)|<ϵ whenever |τ2τ1|<δ,

    which shows that ψ(τ) is uniformly continuous on I, and hence limττ+ψ(τ) exists. And thus by using Lemma 5.2, the solution ψ(τ) can be extended to the closed interval [0,τ+]T, it violates the statement that [0,τ+)T is the maximal existence interval of ψ(τ). Therefore, it follows the required result.

    By the use of Theorems 5.1, 5.2 and Grönwall's inequality (4.3), we now present a result to ensure that the solution of Eq (1.1) with the local initial condition (1.2) is defined and bounded on [0,)T.

    Theorem 5.3. The solution of the local IVP (1.1) and (1.2) is defined and bounded on [0,)T whenever (H1)–(H3) hold.

    Proof. The LIVP has only one solution, according to Theorem 5.1. Define the solution as ψ(τ), with [0,τ+)T as its maximal existence interval. Now we have to show that τ+= and ψ(τ) is bounded on [0,τ+)T. Based on assumption (H3), Eq (5.1) follows that

    |ψ(τ)||ψ(0)|+Iα[k(τ)|ψ(τ)|]. (5.6)

    And so, Eq (5.6) follows using Grönwall's inequality (4.3):

    |ψ(τ)||ψ0|Ek(τ,0),  τ[0,τ+)T,|ψ0|[exp(τ0ξμ(ν)(k(ν))vα1Δν)].

    It should be noted that the hypothesis of boundedness of τ0ξμ(ν)(k(ν))να1Δν would imply that a positive number C exists so that τ0ξμ(ν)(k(ν))να1ΔνC. Therefore,

    |ψ(τ)||ψ0|[eC],  τ[0,τ+)T.

    Thus ψ(τ) is bounded on [0,τ+)T. When τ+, then by Theorem 5.2 clearly follows that

    limττ+ψ(τ)=.

    This is in contradiction with the boundedness of ψ(τ) on [0,τ+)T. Therefore, τ+=, and consequently follows the required result.

    Through the Grönwall's inequality (4.3), we are further investigating the stability of the solutions to the LIVP (1.1) and (1.2).

    Definition 5.2. Assume ψ(τ) be a solution to Eq (1.1) defined on [0,)T with ψ(0)=ψ0. The solution ψ(τ) is called stable if for all positive number ϵ, a positive number δ such that each solution φ(τ) with |φ(0)ψ(0)|<δ holds for any τ0 and satisfies the inequality

    |φ(τ)ψ(τ)|<ϵ, for τ0.

    Theorem 5.4. Every solution of the LIVP (1.1) and (1.2) is always stable whenever the hypothesis (H1), (H3) and (H4) holds.

    Proof. By Theorem 5.3, the solution of LIVP (1.1) and (1.2) always exists and is defined on [0,)T. Let ψ(τ) be a solution withψ(0)=ψ0 and φ(τ) asolution with φ(0)=φ0. Then

    ψ(τ)=ψ0+Iαk(τ,ψ(τ))

    and

    φ(τ)=φ(0)+Iαk(τ,φ(τ)).

    By (H4), it follows that

    |φ(τ)ψ(τ)||φ0ψ0|+Iα[h(τ)|φ(τ)ψ(τ)|]. (5.7)

    And Eq (5.7) follows, using Grönwall's inequality(4.3) and the hypothesis of boundedness of τ0ξμ(ν)(h(ν))Δαν would imply that a positive number C exists so that τ0ξμ(υ)(h(υ))ΔαυC. Therefore,

    |φ(τ)ψ(τ)||φ0ψ0|eC, τ[0,)T.

    By Definition 5.2, it follows that

    |φ(τ)ψ(τ)|<ϵ.

    Hence ψ(τ) is stable on [0,)T.

    The existence of solutions to the non-local initial value problem (NLIVP) is addressed in this section. Then, in order to prove the main result, we recall a fixed point theorem that will be used in this section.

    Lemma 6.1. (Fixed point theorem) U is an open set in a Banach spaceB's closed, convex set C. Suppose 0U. It is also assumed thatA(ˉU) is bounded and that A:ˉUC isgiven by

    A=A1+A2,

    in which

    A1:ˉUB is completely continuous,

    and

    A2:ˉUB is a nonlinear contraction.

    That is, a nonnegative nondecreasing function ϕ:[0,)T[0,)T exists satisfying ϕ(z)<z for z>0, such that

    A2(x)A2(y)kϕ(xyk),

    for any x,yˉU. Then either (C1) A has a fixed point uˉU; or (C2) there exist a point uU and λ(0,1) such that u=λA(u), where ˉU and U refers to the closure and boundary of U, respectively.

    Further we need the following hypothesis.

    (H5) k is a right-dense continuous function defined on [0,a]T×R.

    (H6) There exists a positive constant γ in (0,1) and a nonnegative and nondecreasing function ϕ in C([0,)T) with ϕ(ς)<γς, ς>0 and |g(τ)g(ν)|kϕ(τνk) for all τ,ν in C([0,a]T).

    (H7) There is a nonnegative function φC([0,a]T) such that φ>0 on a subinterval of [0,a]T, as well as a nonnegative and nondecreasing function ΨC([0,)T),

    |k(t,u)|φ(t)Ψ(|u|),

    for each (t,u) in [0,a]T×R and

    supr(0,)r|ψ0|+Ψ(r)Iαφ(a)>11γ.

    The following lemma is easy to verify by Lemmas 2.4 and 2.5.

    Lemma 6.2. A function ψ in C([0,a]T) satisfies the NLIVP (1.1) and (1.3)provided that assumption (H5) holds iff ψ is a continuous as well assolution of IE:

    ψ(τ)=ψ0g(ψ)+Iαk(τ,ψ(τ)),τ[0,a]T. (6.1)

    We first define some sets of functions in C([0,a]T) and operators in order to use FPT to address the existence of solutions to the NLIVP.

    Given a positive number r and k>0 be a positive constant, define the subset ur of C([0,a]T) by

    ur={uC([0,a]T):uk<r}. (6.2)

    Similarly, we define

    ˉur={uC([0,a]T):ukr}. (6.3)

    Also, define three operators from the space C([0,a]T) to itself, respectively, by

    A1ψ(t)=Iαk(t,ψ(t)), (6.4)
    A2ψ(t)=ψ0g(ψ), (6.5)
    Aψ(t)=A1ψ(t)+A2ψ(t). (6.6)

    Using the standard arguments, the complete continuity of the operator A1:ˉurC([0,a]T) can be verified, and it is also easy to check that the operator A2:ˉurC([0,a]T) is a nonlinear contraction under the condition (H6). Here we omit their proofs.

    Lemma 6.3. The operator A1:ˉurC([0,a]T) is completely continuous provided(H5) holds.

    Lemma 6.4. The operator A2:ˉurC([0,a]T) is a nonlinear contractionprovided (H6) holds.

    In this section, we are now presenting the main result.

    Theorem 6.1. There exists at least one solution defined on [0,a]T of the NLIVP (1.1) and (1.3) whenever (H5)–(H7) holds.

    Proof. A positive number r exists in view of the hypothesis of supremum in (H7), such that

    r|ψ0|+Ψ(r)Iαφ(a)>11γ. (6.7)

    And then we define the set ur by

    ur={uC([0,a]T):uk<r}.

    We first show that the operators A, A1, A2 satisfy the corresponding conditions of FPT and owing to Lemmas 6.3 and 6.4, we just need to demonstrate the ßoundedness of A(ˉur). Infact, for each ψ in ˉur it implies under the assumptions (H5) and (H6) that

    |A1ψ(t)|Iα|k(t,ψ(t))|aααsup{|k(t,u)|:t[0,a]T, |u|r} (6.8)

    and

    |A2ψ(t)|=|ψ0g(ψ)||ψ0|+|g(ψ)|. (6.9)

    According to Eq (6.3), it implies that

    |g(ψ)|ϕ(ψk)γψkγr. (6.10)

    By using Eq (6.10) in Eq (6.9), it follows that

    |A2ψ(t)||ψ0|+γr. (6.11)

    Hence, according the definition of the operator A and using Eqs (6.8) and (6.11), we have

    Aψk|ψ0|+γr+aααsup{|k(t,u)|:t[0,a]T, |u|r},

    which justifies the uniform boundedness of the set A(ˉur).

    Lastly, it remains to be shown that the case (C2) does not occur in the FPT (6.1). We claim, by contradiction. Suppose (C2) holds implies that λ(0,1) and ψur exists with ψ=λA(ψ), that is,

    ψ(t)=λ[ψ0g(ψ)+Iαk(t,ψ(t))].

    Under the hypothesis (H6) and (H7), it further follows that

    |ψ(t)|λ[|ψ0|+|g(ψ)|+Iα|k(t,ψ(t))|]. (6.12)

    By using Eq (6.3), it implies that

    |k(t,ψ(t))|φ(t)Ψ(|ψ(t)|)φ(t)Ψ(r). (6.13)

    Using Eqs (6.10) and (6.13) in Eq (6.12), it becomes

    |ψ(t)|λ[|ψ0|+γr+Iαφ(t)Ψ(r)].

    Hence,

    |ψ(t)|[|ψ0|+γr+Ψ(r)Iαφ(t)].

    But

    rsupt[0,a]T[|ψ0|+γr+Ψ(r)Iαφ(t)]|ψ0|+γr+Ψ(r)Iαφ(a).

    This implies that

    r|ψ0|+Ψ(r)Iαφ(a)11γ,

    which is in contradiction with inequality (6.7). We have therefore shown that the operators A,A1 and A2 meet all the conditions in FPT (6.1), and hence we deduce that the operator A has at least one fixed point ψ in ˉur, which satisfies the NLIVP.

    Remark 6.1 For α=1 and T=R, the classical results corresponding to ordinary differential equations will be yielded.

    Example 6.2 Assume T=R, r0=0 and p(s)=1, then Ep(s,s0)=esαα. Also let Ω=[0,)×R, k(s,x)=esαα(x+sinx), l(s)=h(s)=2esαα and K=2.

    (I) Local initial value problems.

    For all (s,x), (s,y)Ω,

    |k(s,x)k(s,y)|=|esαα(x+sinx)esαα(y+siny)||esαα|[|xy|+|sinxsiny|].

    It is easy to see that sinx is Lipschitz: |sinxsiny||xy| with Lipschitz constant L=1. It implies that

    |k(s,x)k(s,y)||esαα|[|xy|+|xy|]=2|esαα||xy|(1)[2|xy|].

    So

    |k(s,x)k(s,y)|K|xy|,

    and

    |k(s,x)|=|esαα(x+sinx)||esαα|(|x|+|sinx|).

    Since |sinx||x|, therefore,

    |k(s,x)||esαα|(|x|+|x|)=2|esαα||x|=l(s)|x|.

    Thus,

    |k(s,x)|l(s)|x|.

    Since T=R, therefore μ(s)=0 and ξμ(s)[l(s)]=l(s), for which

    t0ξμ(s)[l(s)]dαs=2t0esααdαs.

    Since we know that

    (esαα)(α)=(1)esαα.

    Hence, we can write

    t0ξμ(s)[l(s)]dαs=2t0(esαα)(α)dαs=22etαα=2l(t),

    which implies that

    t0ξμ(s)[l(s)]dαs=2l(t)2.

    Thus, for the above-mentioned functions and variables, hypotheses (H1)–(H3) in Theorem 5.3 are met, indicating that the solution to the LIVP (1.1) and (1.2) is defined and bounded on [0,)T.

    (II) Stabilities.

    We observe that, analogous to the case (I), for each (s,x), (s,y)Ω,

    |k(s,x)k(s,y)|h(s)|xy|K|xy|,

    for which Iαh(s)2. Hence, all the requirements are satisfied for Theorem 5.4. We can derive that each solution to the LIVP (1.1) and (1.2) is always stable using Theorem 5.4.

    (III) Non-local initial value problems.

    Select [0,a] such that 2>eaαα. Let us define the functions

    φ(s)=2esαα,Ψ(τ)=τ and ϕ(τ)=γ2τ,

    such that 0<γ<φ(a)1. For uC([0,a]T), define the functional

    g(u)=γ2aa0u(s)ds,

    and then it's simple to determine whether g is a contraction:

    |g(u)g(v)|kγ2aa0|u(t)v(t)|kdtγ2aa0uvkdtϕ(uvk).

    Moreover, observe that

    |k(s,x)|φ(s)Ψ(|x|),

    for any (s,x)[0,a]×R as well as the fact that a direct calculation yields

    supt(0,)t|u0|+Ψ(t)Iαφ(a)=supt(0,)ttIαφ(a)=1Iαφ(a)=12φ(a).

    As

    γ<φ(a)1,12φ(a)>11γ.

    Thus,

    supt(0,)t|u0|+Ψ(t)Iαφ(a)=12φ(a)>11γ.

    We can deduce that the corresponding non-local IVP (1.1) and(1.3) has at least one solution defined on [0,a] because assumptions (H5)–(H7) in Theorem 6.1 are fulfilled for the aforementioned functions, functionals and parameters.

    Remark 6.2. For α=1 and T=R, the classical results corresponding to ordinary differential equations will be yielded.

    Based on the theory of conformable fractional calculus on time scales, we defined generalized exponential function. Also, we proved some of its fundamental properties. Furthermore, we introduced Grönwall's type inequalities in the considered frame. Through Grönwall's inequality, we investigate the stability of the solution to the LIVP. In addition, some conditions for the global existence, extension and boundedness of LIVP's solutions as well as their stabilities are established by using conformable fractional calculus on time scales and FPT. Moreover, we obtained the existence result of the nonlocal initial value problem.

    The author M. A. Alqudah was supported by Princess Nourah bint Abdulrahman University Researchers Supporting Project (No. PNURSP2022R14). The author T. Abdeljawad would like to thank Prince Sultan University for the support through the TAS research lab.

    The authors declare no conflicts of interest regarding this article.



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