
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.
Fractals are fragmented shapes at all scales with self-similarity properties theirs fractal dimension exceeds their topological dimension [1,2,3,4]. Fractals appear in chaotic dynamical systems such as the attractors [5]. The global attractors of porous media equations, and their fractal dimension which is finite under some conditions, were suggested in [6,7,8,9]. The distance of pre-fractal and fractal sets were derived in terms of some the preselected parameters [10].
Non-standard analysis can be used to build the curvilinear coordinate along the fractal curves (i.e. Cesàro and Koch curves) [11,12]. The theory of scale relativity suggests the quantum mechanics formalism as the mechanics for fractal space-time [13]. Analysis on fractals was studied by using probability theory, measure theory, harmonic analysis, and fractional spaces [14,15,16,17,18,19].
Using fractional calculus, electromagnetic fields were provided for fractal charges as generalized distributions and applied to different branches of physics with fractal structures [20,21,22]. Non-local fractional derivatives do not have any geometrical and physical meaning so far [23,24]. Existence, controllability, and synchronization of the fractional differential equations were investigated [4,25,26,27,28,29].
Local fractional derivatives are needed in many physical problems. The effort of defining local fractional calculus leads to new a measure on fractals [30,31].
In view of this new measure, the Cμ-Calculus was formulated for totally disconnected fractal sets and non-differentiable fractal curves [32,33,34,35]. During the last decade, several researchers have explored in this area and applied it in different branches of science and engineering [36,37]. Fractal differential equations (FDEs) were solved and analogous existence and uniqueness theorems were suggested and proved [38,39,40]. The stability of the impulsive and Lyapunov functions in the sense of Riemann-Liouville like fractional difference equations were studied in [41,42,43,44].
Motivated by the works mentioned above, we give analogues of asymptotic behaviors of the solutions of FDEs. The stability and asymptotic behavior of differential equations have an important role in various applications in science and engineering. The Lyapunov's second method was applied to show uniform boundedness and convergence to zero of all solutions of second-order non-linear differential equation [45,46]. The reader is advised to see the references cited in [47,48].
Our aim in this work is to give sufficient conditions for the solutions of FDEs to be uniformly bounded and for the solutions with fractal derivatives to go to zero as t→∞.
The outline of the manuscript is as follows:
In Section 2 we give basic tools and definition we need in the paper. In Section 3 we define fractal Lyapunov stability and function. Section 4 gives asymptotic behaviors and conditions for the solutions of FDEs. We present the conclusion of the paper in Section 5.
In this section, fractal calculus is summarized which is called generalized Riemann calculus [32,33,34,35]. Fractal calculus expands standard calculus to involve functions with totally disconnected fractal sets and non-differentiable curves such as Koch and Cesàro curves. Fractal calculus was applied for the function with Cantor-like sets with zero Lebesgue measures and non-integer Hausdorff dimensions [35,49].
The Cantor-like sets contain totally disconnected sets such as thin fractal, fat fractal, Smith-Volterra-Cantor, k-adic-type, and rescaling Cantor sets [49]. The middle-μ Cantor set is obtained by following process [49]:
First, delete an open interval of length 0<μ<1 from the middle of the I=[0,1].
Cμ1=[0,12(1−μ)]∪[12(1+μ),1]. |
Second, remove two disjoint open intervals of length μ from the middle of the remaining closed intervals of the first step.
Cμ2=[0,14(1−μ)2]∪[14(1−μ)(1+μ),12(1−μ)]∪[12(1+μ),12((1+μ)+12(1+μ)2)]∪[12(1+μ)(1+12(1−μ)),1] |
⋮.
In mth stage, omit 2m−1 disjoint open intervals of length μ from the middle of the remaining closed intervals (See Figure 1a).
Finally, we have middle-μ Cantor set as follows:
Cμ=∞⋂m=1Cμm. |
The Lebesgue measure of Cμ set is given by
m(Cμ)=1−μ−2(12(1−μ)μ)−4(14(1−μ)2μ)−...=1−μ11−(1−μ)=1−1=0. |
The Hausdorff dimension of middle-μ Cantor set using Hausdorff measure is given by
DH(Cμ)=log(2)log(2)−log(1−β), |
where H indicates Hausdorff measure [14,15,49].
The flag function of Cμ is defined by [32,33],
F(Cμ,J)={1ifCμ∩J≠∅0otherwise, |
where J=[c1,c2]. Let Q[c1,c2]={c1=t0,t1,t2,…,tm=c2} be a subdivision of J. Then, Lα[Cμ,Q] is defined in [32,33,35] by
Lα[Cμ,Q]=m∑i=1Γ(α+1)(ti−ti−1)αF(Cμ,[ti−1,ti]), | (2.1) |
where 0<α≤1.
The mass function of Cμ is defined in [32,33,35] by
Mα(Cμ,c1,c2)=limδ→0Mαδ(Cμ,c1,c2)=limδ→0(infQ[c1,c2]:|Q|≤δLα[Cμ,Q]), |
here, infimum is taking over all subdivisions Q of [c1,c2] satisfying |Q|:=max1≤i≤m(ti−ti−1)≤δ.
The integral staircase function of Cμ is defined in [32,33,35] by
SαCμ(t)={Mα(Cμ,t0,t)ift≥t0−Mα(Cμ,t0,t)otherwise, |
where t0 is an arbitrary and fixed real number (See Figure 1b).
The γ-dimension of Cμ∩[c1,c2] is
dimγ(Cμ∩[c1,c2])=inf{α:Mα(Cμ,c1,c2)=0}=sup{α:Mα(Cμ,c1,c2)=∞}. |
Figure 1c presents approximate Mαδ2/Mαδ1, where δ2<δ1. This gives us γ-dimension since that value converging to the finite number as δ→0. This result can also be concluded by choosing different various pairs of (δ1,δ2).
The characteristic function χCμ(α,t):ℜ→ℜ is defined by
χCμ(α,t)={1Γ(α+1),t∈Cμ;0,otherwise.. |
In Figure 1d we have plotted the characteristic function for the middle-μ choosing μ=1/5.
The Cα-limit of a function h:ℜ→ℜ as z→t is defined in [32,33,35] by
z∈Cμ,∀ϵ,∃δ,|z−t|<δ⇒|h(z)−l|<ϵ. |
If l exists, then we can write
l=Cμ-limz→th(z). |
The Cμ-continuity of a function h at t∈Cμ is defined in [32,33] by
h(t)=Cμ-limz→th(z). |
The Cμ-Differentiation of a function h at t∈Cμ is defined in [32,33,35] by
DαCμh(t)={Cμ-limz→th(z)−h(t)SαCμ(z)−SαCμ(t),if z∈Cμ,0,otherwise, |
if limit exists.
The Cμ-integral of h on [c1,c2] is denoted by ∫c2c1h(t)dαCμt and is approximately given in [32,33,35] by
∫c2c1h(t)dαCμt≈m∑i=1hi(t)(SαCμ(tj)−SαCμ(tj−1)). |
We refer the reader for more meticulous definitions to see in [32,33,35]. In Figure 1 we have sketched the middle-μ Cantor, the staircase function, the characteristic function, and graph of Mαδ2/Mαδ1 versus to α.
In this section, we generalize the Lyapunov stability definition for the functions with fractal support.
Let us consider the following fractal differential equation with an initial condition
DαK,th(t)=g(h(t)),h(0)=h0,0<α≤1, | (3.1) |
where g(h(t)):ℜ→ℜ, Cμ=K and g has an equilibrium point he, then g(he)=0.
1) The equilibrium point he is called fractal Lyapunov stabile if we have
∀ϵ>0,∃δ>0,|h(0)−he|<δα⇒|h(t)−he|<εα,t≥0. |
2) The stable equilibrium point he is said fractal asymptotically stable if
∀ϵ>0,∃δ>0,|h(0)−he|<δα⇒limt→∞|h(t)−he|=0. |
3) The equilibrium point he is called fractal exponentially stable if
∃δ>0,|h(0)−he|<δα⇒|h(t)−he|≤κα|h(0)−he|e−λαt, |
where t≥0,κ,λ∈ℜ, and κ>0,λ>0.
Fractal Lyapunov function of Eq. (3.1) is a function L:ℜ→ℜ+,R+=[0,+∞) which is Cμ-continuous. Also, its α-order derivative is Cμ-continuous. Thus the fractal derivative of L with respect to Eq. (3.1) is written as L∗ and if it has following condition
L∗=∂L∂hg<0,∀t∈K∖{0}, | (3.2) |
then, the zero solution of Eq. (3.1) is fractal asymptotically stable.
Example 1. Consider the following fractal differential equation
DαK,tz(t)=−χKz,z(0)=c. | (3.3) |
where 0<α≤1. The general the solution of Eq. (3.3) is
z(t)=cexp(−SαK(t)). |
A fractal Lyapunov function for studying the stability of Eq. (3.3) is
L(z)=z2. | (3.4) |
Then, we have
L∗=dLdz(z)=−2z2<0,(z≠0). | (3.5) |
Thus, the zero solution of Eq. (3.3) is fractal asymptotically stable (See Figure 2a).
In Figure 2 we have plotted the solution of Eq. (3.3) in 2a and corresponding Fractal Lyapunov function in 2b.
Remark. In Figure 2, the red curves indicate the orbit of the solutions of Eq. (3.3) and Lyapunov function in the case of α=1.
In this section, we present the generalized conditions for the uniform boundedness and convergence of the solutions of the second α-order of non-linear fractal differential equations. On the other hand, we modify and adopt the ordinary calculus conditions in fractal calculus [46]. The main results are obtained using the generalized Lyapunov function with the fractal sets support [32,33,35,45,46].
Let us consider the following second α-order fractal differential equation
(DαK,t)2y+u(SαK(t))f(y,DαK,ty)DαK,ty+v(SαK(t))h(y)=q(SαK(t),y,z). | (4.1) |
where t∈Cμ,y∈ℜ,0<α≤1. Through this paper, it is assumed that u,v∈Cα(Cμ), f∈Cα(ℜ2,ℜ), and q∈Cα(Cμ×ℜ2,ℜ). By these Cα-continuity assumptions the existence of the solutions of Eq. (4.1) is guaranteed. We also assume that the functions f,h, and q satisfy the fractal Lipshitz condition in the unknown function y and its fractal derivative DαK,ty. Hence, the uniqueness of solutions of Eq. (4.1) is guaranteed [39,40]. By rewritten Eq. (4.1) in the form of the fractal system of differential equations and setting SαK(t)=t′, we obtain
DαK,ty(t′)=z(t′),DαK,tz(t′)=−u(t′)f(y,DαK,ty)z(t′)−v(t′)h(y)+q(t′,y,z(t′)), | (4.2) |
where u(t′),v(t′),f(y,DαK,ty),h(y),z(t′)=DαK,ty and q(t′,y,z) are Cμ-continuous functions at every point t∈Cμ and they have well behavior such that the fractal uniqueness theorem holds for the fractal system (4.2). Meanwhile, u(t′), v(t′) are Cμ-differentiable on Cμ [39].
A. Assumptions
(C1) There are positive constants u0,v0,E,Q, such that
1≤uα0≤u(t′)≤Eα,1≤vα0≤v(t′)≤Qα, |
where we consider SαK(t)<tα [32,33,35].
(C2) λ1(>0),λ2(>0)∈ℜ and ϵ0,ϵ1,ϵ2 are small positive numbers such that
ϵα0≤f(y,DαK,ty). |
(C3) h(0)=0,h(y)sgn(y)>0,(y≠0), such that
H(y)=∫y0h(λ)dαKλ→∞as|y|→∞, |
and
0<λ2≤DαK,th(y). |
(C4)
∫∞0ζ0(t′)dαKt<∞,DαK,tv(t′)→0ast→∞, |
where ζ0(t′)=DαK,tv+,DαK,tv+=max(DαK,tv+,0).
Theorem 1. If assumptions (C1) – (C4) hold, then the zero solution of Eq. (4.1) when q(SαK(t),y,z)=0 is fractal stable.
Proof: For proving this theorem we consider the following fractal Lyapunov function
L2(t′,y,z)=∫y0h(λ)dαKλ+z22v(t′), | (4.3) |
which is positive definite. By calculating fractal time derivative of (4.3) along the fractal system (4.2), we obtain
DαK,tL2=−DαK,tv(t′)2v(t′)2z2−u(t′)v(t′)f(y,DαK,ty)z2. |
We know that v(t′) is an increasing function. Hence DαK,tv(t′)≥0. Then, we have
DαK,tL2≤−u(t′)v(t′)f(y,DαK,ty)z2≤0. |
In fact, it is obvious that L2(t′,0,0)=0 and
L2(t′,y,z)≥λ2y2+z22v(t′)≥λ2y2+z22Qα≥ˉλ(y2+z2), |
where ˉλ=min(λ2,12Qα). Then the proof is complete.
B. Assumption
(C5) There are positive constants 0≤σ≤1,0≤Δ≤1, such that
∫∞0ri(t′)dαKt,r1(t′),r2(t′)>0,(i=1,2), |
are Cμ-Continuous functions and
|q(t′,y,z(t′))|≤r1(t′)+r2(t′)[H(y)+z2]σ′/2+Δα|z|, |
where σ′=σα.
(C6)
ϵα0≤f(y,DαK,ty)−λ1≤ϵα1. |
(C7)
0≤λ2−DαK,th(y)≤ϵα2. |
Theorem 2. Let q(SαK(t),y,z)≠0 and assume (C1)−(C5) hold. Then the solutions of Eq. (4.1) are fractal uniformly bounded and fractal convergent, namely
y(t′)→0,DαK,ty(t′)→0,asSαK(t)→0. | (4.4) |
To prove this theorem, we define a fractal Lyapunov function for Eq. (4.1) by
L0(t′,y,z)=v(t′)∫y0h(λ)dαKλ+z22+k, | (4.5) |
where k is positive constant.
Before giving the proof of the above theorem, we present two lemmas, Lemma 1 and Lemma 2, which are needed in the proof of the theorem.
Lemma 1. If assumptions (C1) and (C3) hold, then
E1/α1[H(y)+z2+k]≤L0(t′,y,z)≤E1/α2[H(y)+z2+k],∃E1>0,E2>0∈ℜ. |
Proof: In view of assumptions (C1) and (C3) we can derive
L0≥vα0∫y0h(λ)dαKλ+z22+k≥Eα1[H(y)+z2+k], |
where E1=min(v0,1/2).
In the same manner, by assumptions (C1) and (C3), we can obtain
L0≤Qα∫y0h(λ)dαKλ+z22+k≤Eα2[H(y)+z2+k], |
where E2=max(Q,1).
Lemma 2. If assumptions (C1) – (C4) are valid, then
∃E3>0,E4>0,DαK,tL0≤−Eα3z2+(r1(t′)+r2(t′))|z|+r2(t′)[H(y)+z2]+Eα4ζ0L0, |
where E3,E4∈ℜ.
Proof: Fractal differentiating of the fractal Lyapunov function (4.5) along with fractal system (4.2), we get
DαK,tL0=−u(t′)f(y,z)z2+q(t′,y,z)z+DαK,tv(t′)∫y0h(λ)dαKλ. |
By using the assumptions of the Theorem 2, we obtain
DαK,tL0≤−Eα(λ1+ϵ0)z2+|q(t′,y,z)||z|+ζ0H(y)≤−2Eα3z2+|q(t′,y,z)||z|+Eα4ζ0L0, |
where
E3=E(λ1+ϵ0)/2,E4=(1/E1). |
Here, in view of (C5), the term |q(t′,y,z)||z| can be written as
|q(t′,y,z)||z|≤(r1(t′)+r2(t′)[H(x)+z2]σ′/2)|z|+Δαz2. |
Hence, we have
DαK,tL0≤−2Eα3z2+(r1(t′)+r2(t′)[H(x)+z2]σ′/2)|z|+Δαz2+Eα4ζ0L0. |
Set Δ=E3. Then
DαK,tL0≤−Eα3z2+(r1(t′)+r2(t′)[H(x)+z2]σ′/2)|z|+Eα4ζ0L0. | (4.6) |
Using the following inequality
[H(x)+z2]σ′/2≤1+[H(x)+z2]1/2, | (4.7) |
taking into account (4.6) and (4.7) we obtain
DαK,tL0≤−Eα3z2+(r1(t′)+r2(t′))|z|+r2(t′)[H(x)+z2]+Eα4ζ0L0. |
To complete the proof of the theorem, we consider the fractal Lyapunov function L0 defined by
L(t′,y,z)=e−∫t0ζ(θ)dαKθL0(t′,y,z), | (4.8) |
where
ζ(t′)=Eα4ζ0+4Eα1(r1(t′)+r2(t′)), |
and
ψ1(||ˉy||)≤V(t′,y,z)≤ψ2(||ˉy||), | (4.9) |
with ˉy=(y,z)∈ℜ2 and t∈Cμ, and ψ1,ψ2 are Cμ-continuous and increasing functions such that ψ1(||ˉy||)→∞ while ||ˉy||→∞.
Fractal differentiating fractal Lyapunov function (4.8) and considering the fractal system (4.2) and assumptions of Theorem 2, we have
DαK,tL(t′,y,z)=e−∫t0ζ(θ)dαCμθ[DαK,tL0−ζ(t′)L0]≤e−∫t0ζ(θ)dαKθ[−Eα3z2+(r1(t′)+r2(t′))|z|+r2(t′)[H(y)+z2]−4(r1(t′)+r2(t′))(H(y)+z2+k)]≤e−∫t0ζ(θ)dαKθ[−Eα3z2+(r1(t′)+r2(t′))|z|−2(r1(t′)+r2(t′))(H(y)+z2+k)]≤e−∫t0ζ(θ)dαKθ[−Eα3z2−2(r1(t′)+r2(t′)){(|z|−14)2−116+2k}]. |
If we choose k≥132, then it follows that there exists a positive E5 such that
DαK,tL(t′,y,z)≤−Eα5z2. | (4.10) |
By considering (4.9) and (4.10) it follows that all solutions of Eq. (4.2) are fractal uniformly bounded.
Consider the fractal system of differential equations
DαK,tˉy=M(t′,ˉy)+N(t′,ˉy), | (4.11) |
where M,N are Cμ⊂ℜ+-continuous and vector functions, and Cμ×Q⊂ℜ2 is an open set. Moreover, it is clear that
||N(t′,ˉy)||≤N1(t′,ˉy)+N2(ˉy), |
where N1(t′,ˉy),N2(ˉy) are Cμ-continuous and non-negative functions.
Lemma 3. Let L:Cμ×Q be a function Cμ-continuous and Cμ-differentiable such that
DαK,tL(t′,ˉy)≤−B(||ˉy||), |
where B(||ˉy||) is a positive definite in the closed set Ψ∈Q and M(t′,ˉy) satisfies the following.
(1) M(t′,ˉy) tends to K(ˉy) for ˉy∈Ψ as t→∞, K(ˉy) is a Cα-continuous on Ψ.
(2)
∀ϵ>0,ˉy∈Ψ,∃δ=δ(ϵ,ˉz)>0,T=T(ϵ,ˉz)>0, |
such that if
t≥T,||ˉy−ˉz||<δ(ϵ,ˉz), |
we have
||M(t′,ˉy)−M(t′−ˉz)||<ϵα. |
(3) N2(ˉy) is positive definite on closed Ψ of Q.
Then every bounded solution of Eq. (4.11) approaches to the fractal system
DαK,tˉy=K(ˉy), | (4.12) |
which is contained in Ψ as t→∞.
Proof. Now, we consider (4.2). It follows that
M(t′,ˉy)=(z−u(t′)f(y,z)z−v(t′)h(y)) |
and
N(t′,ˉy)=(0q(t′,y,z)). |
Then
||N(t′,ˉy)||≤(r1(t′)+r2(t′))[H(y)+z2]σ′/2+Δα|z|. |
We can also write
N1(t′,ˉy)=r1(t′)+r2(t′)[H(y)+z2]σ′/2 |
and
N2(ˉy)=Δα|z|. |
The functions M(t′,ˉy) and N(t′,ˉy) satisfy the conditions of Lemma 3. Set ψ1(||ˉy||)=Eα5z2, then
DαF,tL(t′,y,z)≤−ψ1(||ˉy||), |
where the function ||ˉy|| is positive definite on Ψ={(y,z)|y∈ℜ,z=0}. We get
M(t′,ˉy)=(0−v(t′)h(y)) |
by using (C4) condition of Theorem 1. If we suppose
K(ˉy)=(0−v∞h(y)), | (4.13) |
then all the conditions of Lemma 3 are satisfied. It is straight forward to see that N2(ˉy) is positive definite function. Since the solutions of fractal system (4.2) are bounded, therefore by using Lemma 3 we have
DαK,tˉy=K(ˉy), |
which is semi-invariant set of the fractal system contained in Ψ as t→∞. In view of (4.13), we have following
DαK,ty=0,DαK,tz=−v∞h(y). | (4.14) |
Fractal system Eq. (4.14) has solution
y=c1,z=c2−v∞h(c1)(SαK(t)−SαK(t0)). |
In order to remain in Ψ, the solutions must be
c2−v∞h(c1)(SαK(t)−SαK(t0))=0,∀t≥t0, |
which implies k=0,h(c1)=0, so that c1=c2=0. Then ˉy=ˉ0 is the solution of DαK,tˉy=K(ˉy) remaining in Ψ. Consequently, we arrive at
y(t′)→0,DαK,ty(t′)→0,ast→0. |
Example 2. Consider the fractal differential equation
(DαK,t)2y(t)+s(y)DαK,ty(t)+h(y)=0. | (4.15) |
This is equivalent to the fractal system
DαK,ty=z−S(y)DαK,tz=−h(y), | (4.16) |
where
S(y)=∫y0s(β)dαKβ. |
and, if we suppose
H(y)=∫y0h(ρ)dαKρ, |
Consider the fractal function
L1(y,z)=H(y)+z22, | (4.17) |
which is a strong fractal Lyapunov function. Fractal differentiating of L1(y,z) and Eq.(4.17) we get
DαK,tL1(y,z)=h(y)DαK,ty+zDαK,tz=−h(y)S(y). |
Using the assumption theorem we obtain
DαK,tL1(y,z)=−h(y)S(y)<0, |
which shows that the solutions of Eq. (4.15) are fractal uniformly bounded and fractal ultimately bounded.
Example 3. Consider harmonic oscillator on the fractal time as follows:
(DαK,t)2y(t)+CKy(t)=0,t∈K,CK>0, | (4.18) |
where CK is constant. The equivalent fractal system is
DαK,ty=z,DαK,tz=−CKy. | (4.19) |
The fractal Lyapunov function correspond to Eq. (4.18) is
L(y,z)=12CKy2+12z2, | (4.20) |
where L(0,0)=0 and L(y,z)>0 for (y,z)∈ℜ2∖(0,0).
Then, it is obtain that
DαK,tL(y,z)=∂∂yL(y,z)DαK,ty+∂∂y,L(y,z)DαK,tz=0. |
Hence, the zero solution (0,0) is a fractal stable point. In Figure 3, we have sketched solutions of Eq. (4.18) and Eq. (4.20).
Remark: We noted that for the physical model of Examples 1, 2 and 3 the parameter t can be considered as the fractal time [50].
In this paper, we have suggested conditions for the fractal stability, uniformly boundedness and the asymptotic behaviors of solutions of second α-order fractal differential equations. The analogous theorems of stability, uniformly boundedness and asymptotic behavior from standard calculus have been given and adopted in fractal calculus. The generalized conditions include solutions and functions which are non-differentiable in sense of ordinary calculus.
This research was completed with the support of the Scientific and Technological Research Council of Turkey (TÜBİTAK) (2221-Fellowships for Visiting Scientists and Scientists on Sabbatical Leave – 2221-2018/3 period) when Alireza Khalili Golmankhaneh was a visiting scholar at Van Yuzuncu Yil University, Van, Turkey.
The authors of this paper would like to express their sincere appreciation to the dear anonymous editor and referee for their valuable comments and suggestions which have led to an improvement in the presentation of the paper.
The authors declare that there is no conflict of interest.
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