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Article

Stability of Boundary Value Discrete Fractional Hybrid Equation of Second Type with Application to Heat Transfer with Fins

by
Wafa Shammakh
1,†,
A. George Maria Selvam
2,†,
Vignesh Dhakshinamoorthy
3,† and
Jehad Alzabut
4,5,*,†
1
Department of Mathematics, Faculty of Science, University of Jeddah, Jeddah 22233, Saudi Arabia
2
Department of Mathematics, Sacred Heart College (Autonomous), Tirupattur 635601, Tamil Nadu, India
3
Department of Mathematics, School of Advanced Sciences, Kalasalingam Academy of Research and Education, Krishnankoil, Srivilliputhur 626126, Tamil Nadu, India
4
Department of Mathematics and Sciences, Prince Sultan University, Riyadh 11586, Saudi Arabia
5
Department of Industrial Engineering, OSTİM Technical University, Ankara 06374, Turkey
*
Author to whom correspondence should be addressed.
All the authors contributed equally to this work.
Symmetry 2022, 14(9), 1877; https://doi.org/10.3390/sym14091877
Submission received: 13 August 2022 / Revised: 31 August 2022 / Accepted: 5 September 2022 / Published: 8 September 2022

Abstract

:
The development in the qualitative theory of fractional differential equations is accompanied by discrete analog which has been studied intensively in recent past. Suitable fixed point theorem is to be selected to study the boundary value discrete fractional equations due to the properties exhibited by fractional difference operators. This article aims at investigating the stability results in the sense of Hyers and Ulam with application of Mittag–Leffler function hybrid fractional order difference equation of second type. The symmetric structure of the operators defined in this article is vital in establishing the existence results by using Krasnoselkii’s fixed point theorem. Banach contraction mapping principle and Krasnoselkii’s fixed point theorem are employed to establish the uniqueness and existence results for solution of fractional order discrete equation. A problem on heat transfer with fins is provided as an application to considered hybrid type fractional order difference equation and the stability results are demonstrated with simulations.

1. Introduction

In 1940, Ulam was the first to stimulate the concept of stability for the functional equations [1] and had posed several unsolved problems. In 1941, a problem posed by Ulam on stability of homomorphisms was solved by Hyers [2]. The stability concept named after the two mathematicians has inspired a large number of mathematicians and was recently employed for the analysis of stability of differential and difference equations. Hyers–Ulam stability results for differential equations was initiated by Obloza in [3,4] and the advancement on the results was carried out by Alsina and Ger [5] in 1998. Qarawani in [6] considered the Emden–Fowler and generalized differential equations of order 2 and performed the stability analysis in the sense of Hyers–Ulam. The work by Alqifiary and Jung in [7,8] investigated the Hyers–Ulam stability of 2nd order differential equations and discussed the generalized Hyers–Ulam stability for nth order differential equation using the Laplace transform method. The analysis of the qualitative properties of the dynamical systems are vital in understanding the physical behaviour of the real world phenomenon.
The arbitrary order calculus was known to the research community since 1695. The lack of interpretation of the arbitrary order equations in modelling real world problems had caused stagnation in growth of its theory. Development of digital computers during 20th century has led to considerable contribution to the theory of fractional calculus. Main reason for adapting the fractional order calculus in constructing models is due to its capability to bring memory factors into effect and also increases the accuracy of the models of real world. The fractional order of the system in addition to the hysteresis is also very crucial in bringing out the physical significance of the phenomena under consideration. The choice of the fractional order greatly depends on the behavioural aspect of the system under consideration. Fractional calculus has recently attracted many researchers in modelling real life applications [9,10,11,12,13,14,15]. Closed form solutions of the fractional order equations was studied in [16]. Shakeel et al. in [17] presented the results on exact solutions for Burger equation of fractional order using novel expansion method. Recently, Hyers–Ulam stability analysis was extended to differential equations of fractional order. In [18,19,20], Wang and Zhou investigated the Ulam stability of the fractional order equations. Ulam–Hyers Mittag–Leffler stability of fractional equations using fixed point approach was carried out by N. Egbhali [21] in 2016. Most recently the Ulam–Hyers Mittag–Leffler stability of non-linear fractional equation was studied in [22].
The theory of discrete fractional calculus was developed in recent decades. The discrete counterpart has not gained expected theoretical support as the continuous case. However, recent literature has proved that discrete time fractional calculus has gained equal importance from the mathematicians and engineers. Discrete fractional calculus is considered to have their origin in the works of [23,24]. Atici and Eloe in [25,26] and Holm in [27] have contributed some significant results on the discrete fractional sum and differences. The basic theory on discrete nabla fractional calculus was illustrated in [28,29]. Tumour-immune system was constructed using discrete fractional order difference equations and its chaotic behaviour are presented in [30]. Josephson junction discrete fractional model and its stability properties was discussed in [31]. Application of discrete fractional equation to pantograph equations can be found in [32]. Some discrete time fractional order problems with boundary conditions were investigated by authors in [33,34,35,36,37].
Non-linear differential equations with quadratic perturbations also known as hybrid type differential equations are of great interest to the mathematicians and engineers due to their ability to describe different dynamic models as special cases. The two types of fractional order perturbation equations are discussed in [38] and some recent contributions on hybrid type fractional order equations include [39,40,41,42,43,44,45,46,47,48,49]. The first work on Hyers–Ulam stability of fractional difference equation with boundary condition was carried out by Fulai Chen and Yong Zhou in 2013 [50]. Influenced by the above works with boundary conditions, we consider the non-linear discrete fractional equation of the form
Δ * ζ [ υ ( ϖ ) Θ ( ϖ , υ ( ϖ ) ) ] = M ( ϖ + ζ 1 , υ ( ζ + ϖ 1 ) ) , ϖ 0 , N 0 , 1 < ζ < 2 υ ( ζ 1 ) = g ( υ ) , Δ υ ( ζ + ) Θ ( ζ + , υ ( ζ + ) ) ψ ( υ ) = A .
where Δ * ζ is the fractional Caputo difference operator, A R , N j = j , j + 1 , j + 2 , , Θ , M : C [ ζ 1 , ζ + ] N ζ 1 , R R is continuous in υ , g , ψ : C [ ζ 1 , ζ + ] N ζ 1 R is Lipschitz continuous in υ with positive constant K , λ ( 0 , 1 ) . This article employs Caputo type fractional difference operator due to its practical interpretation of the real world problems.
Boundary values problems with conditions defined at the extremes has attracted engineers and scientists due to their ability to give analytical understanding and prediction of the phenomena over a period of time. The applications include finding the electrical potential of any given region, disciplines of physics such as elongated rods, thermostat in sensors, heat transfer through surfaces, and so on. The generation of heat in most real life scenarios are due to infrared, nuclear, chemical, or electrical activities. Temperature and flow of heat are the two most important factors in heat conduction problems which can be understood with greater level of accuracy by construction of models with boundary value problems. The boundary conditions that define the problems on heat conduction may be linear or non-linear. The non-linearity in the boundary conditions are widely due to the influence of power of temperature entering the boundary condition. Increasing interest towards study of discrete fractional boundary value problems and exploring real life applications this article provides an application to (1) in the form of heat transfer equation with fins. The main objective of the article is:
  • Investigation of Hyers–Ulam–Mittag–Leffler stability for hybrid fractional order difference equation of second type;
  • Application to heat transfer with fins.
The paper is structured as follows. Section 2 presents some necessary mathematical identities that are required throughout the paper. Existence and uniqueness of the solution of (1) are established in Section 3. Hyers–Ulam–Mittag–Leffler stability of the non-linear discrete fractional equation is introduced in Section 4 and Section 5 demonstrates the application to heat transfer with fins and Section 6 concludes the paper.

2. Mathematical Background

This section provides necessary mathematical concepts that are used throughout this work.
Definition 1
([51]). Let ζ > 0 . The ζ t h fractional sum of υ is defined by
Δ ζ υ ( ϖ ) = 1 Γ ( ζ ) s = a ϖ ζ ( ϖ s 1 ) ( ζ 1 ) υ ( s ) ,
where ϖ ( ζ ) denotes the falling factorial.
Definition 2
([51]). Let β > 0 and κ 1 < β < κ , where κ = β N . Set ζ = κ β . The β t h fractional difference is given by
Δ * β υ ( ϖ ) = Δ ζ Δ κ υ ( ϖ ) = 1 Γ ( ζ ) s = j ϖ ζ ( ϖ s 1 ) ( ζ 1 ) Δ κ υ ( s ) ,
where Δ κ is the forward difference operator of order k.
Definition 3
([52]). Let ϖ N 0 , ω ( 1 , 1 ) and ζ R + . The discrete one parameter Mittag–Leffler function is
F ζ ( ω , ϖ ) = κ = 0 ( ω ) κ ( ϖ + κ ( ζ 1 ) ) ( ζ κ ) Γ ( ζ κ + 1 ) .
Lemma 1
([53,54]). Assume that β > 0 and M is defined on N j then
Δ * β Δ * β M ( ϖ ) = M ( ϖ ) κ = 0 n 1 ( ϖ j ) κ κ ! Δ κ [ M ( j ) ] = M ( ϖ ) + c 0 + c 1 t + + c n 1 t ( n 1 ) ,
where n 1 β and c i R , i = [ 1 , n 1 1 ] N 1 .
Theorem 1
([55]). (Banach Contraction Mapping Principle) A contraction mapping on a complete metric space has exactly one fixed point.
Theorem 2
([56]). Let the subset H of the Banach space B be non-empty, convex, bounded and closed. Let P 1 : B B and P 2 : H B be two operators, such that
(i) 
The operator P 1 is a contraction;
(ii) 
The operator P 2 is completely continuous;
(iii) 
x = P 1 x + P 2 y for all x H x H .
Then, there exists a solution for the equation P 1 x + P 2 x = x .

3. Existence and Uniqueness Results

Let the set υ = υ ( ϖ ) ϖ = ζ 1 + ζ be denoted by B with norm
υ = m a x υ ( ϖ ) , ϖ [ ζ 1 , + ζ ] N ζ 1 .
Then, B is a Banach Space. Before establishing the results on existence of unique solution for the consider boundary value problem (1), we shall make the following assumptions. Let
(J1) 
There exist non-zero real constants K , λ , such that
| g ( υ ( ϖ ) ) g ( υ 1 ( ϖ ) ) | K | υ ( ϖ ) υ 1 ( ϖ ) | , | ψ ( υ ( ϖ ) ) ψ ( υ 1 ( ϖ ) ) | λ | υ ( ϖ ) υ 1 ( ϖ ) | .
(J2) 
There exist non zero real constants L , L 1 , such that
| M ( ϖ , υ ( ϖ ) ) M ( ϖ , υ 1 ( ϖ ) ) | L | υ ( ϖ ) υ 1 ( ϖ ) | , | Θ ( ϖ , υ ( ϖ ) ) Θ ( ϖ , υ 1 ( ϖ ) ) | L 1 | υ ( ϖ ) υ 1 ( ϖ ) | .
for all υ , υ 1 B .
Lemma 2.
A function υ ( ϖ ) : ϖ [ ζ 1 , + ζ ] N ζ 1 R is a solution of the boundary value problem (1) iff υ ( ϖ ) is a solution of
υ ( ϖ ) = Θ ( ϖ , υ ( ϖ ) ) Θ ( ζ 1 , g ( υ ) ) + 1 Γ ( ζ ) s = 0 ϖ ζ ( ϖ s 1 ) ( ζ 1 ) M ( s 1 + ζ ) + g ( υ ) + ( ζ 1 ϖ ) Γ ( ζ 1 ) s = 0 + 1 ( + ζ s 1 ) ( ζ 2 ) M ( s 1 + ζ ) + ( ζ 1 ϖ ) ( A + ψ ( υ ) ) ,
where ϖ [ ζ 1 , + ζ ] N ζ 1 .
Proof. 
Suppose that υ ( ϖ ) is a solution of (1). Using Lemma (1) with constants c 0 , c 1 R , we have
υ ( ϖ ) = Δ ζ M ( ϖ 1 + ζ ) c 0 c 1 ϖ
υ ( ϖ ) = 1 Γ ( ζ ) s = 0 ϖ ζ ( ϖ s 1 ) ( ζ 1 ) M ( s 1 + ζ ) c 0 c 1 ϖ ,
for ϖ [ ζ 1 , + ζ ] N ζ 1 . Additionally, we have,
Δ υ ( ϖ ) Θ ( ϖ , υ ( ϖ ) ) = 1 Γ ( ζ 1 ) s = 0 ϖ ζ + 1 ( ϖ s 1 ) ζ 2 M ( s 1 + ζ ) c 1 , ϖ [ ζ 1 , + ζ ] N ζ 1 .
Using the boundary conditions, the constants are evaluated
c 0 = Θ ( ζ 1 , g ( υ ) ) g ( υ ) + ζ 1 ϖ Γ ( ζ 1 ) s = 0 + 1 ( + ζ s 1 ) ζ 2 M ( s 1 + ζ ) + A + ψ ( υ ) ,
c 1 = 1 Γ ( ζ 1 ) s = 0 + 1 ( + ζ s 1 ) ζ 2 M ( s 1 + ζ ) A ψ ( υ ) .
On the substitution of c 0 and c 1 in (9), we obtain (8).
Conversely, if υ ( ϖ ) is the solution of (8), it is clear that solution obtained from (8) satisfies (1). The proof is complete.
Define the operator P : B B by
P υ ( ϖ ) = Θ ( ϖ , υ ( ϖ ) ) Θ ( ζ 1 , g ( υ ) ) + 1 Γ ( ζ ) s = 0 ϖ ζ ( ϖ s 1 ) ( ζ 1 ) M ( s 1 + ζ , υ ( s 1 + ζ ) ) + g ( υ ) + ( ζ 1 ϖ ) Γ ( ζ 1 ) s = 0 + 1 ( + ζ s 1 ) ( ζ 2 ) M ( s 1 + ζ , υ ( s 1 + ζ ) ) + ( ζ 1 ϖ ) ( A + ψ ( υ ) ) ,
for ϖ [ ζ 1 , + ζ ] N ζ 1 . It is obvious that υ ( ϖ ) is a solution of (1) if it is a fixed point of (10). □
Theorem 3.
If
ρ = L 1 ( 1 + K ) + K + ( + 1 ) λ + L [ 1 Γ ( ζ ) s = 0 ( + ζ s 1 ) ( ζ 1 ) + ( + 1 ) Γ ( ζ 1 ) s = 0 + 1 ( + ζ s 1 ) ( ζ 2 ) ] < 1 ,
then the boundary value problem (1) has an unique solution in B .
Proof. 
For each ϖ [ ζ 1 , + ζ ] N ζ 1 and υ , υ 1 B ,
P υ ( ϖ ) P υ 1 ( ϖ ) L 1 | υ υ 1 | + K L 1 | υ υ 1 | + L 1 Γ ( ζ ) s = 0 ϖ ζ ( ϖ s 1 ) ( ζ 1 ) υ υ 1 + L ( ζ 1 ϖ ) 1 Γ ( ζ 1 ) s = 0 + 1 ( + ζ s 1 ) ζ 2 υ υ 1 + K υ υ 1 + ( ζ 1 ϖ ) λ | υ υ 1 | [ L 1 + K L 1 + L 1 Γ ( ζ ) s = 0 ϖ ζ ( ϖ s 1 ) ( ζ 1 ) + K + ( ζ 1 ϖ ) λ + L ( ζ 1 ϖ ) 1 Γ ( ζ 1 ) s = 0 + 1 ( + ζ s 1 ) ζ 2 ] υ υ 1 [ L 1 + K L 1 + L 1 Γ ( ζ ) s = 0 ϖ ζ ( ϖ s 1 ) ( ζ 1 ) + K + L ( + 1 ) 1 Γ ( ζ 1 ) s = 0 + 1 ( + ζ s 1 ) ζ 2 + ( + 1 ) λ ] υ υ 1 P υ ( ϖ ) P υ 1 ( ϖ ) ρ υ υ 1 .
Thus, P is a contraction mapping on B with ρ < 1 . From Theorem 1, it is clear that P has a unique fixed point. The proof is complete. □
Theorem 4.
Assume that J 1 , J 2 hold and there exists non-zero real constants ξ 1 , ξ 2 , ξ 3 , such that
| M ( ϖ , υ ( ϖ ) ) | < ξ 1 , | g ( υ ( ϖ ) ) | < ξ 2 , | ψ ( υ ( ϖ ) ) | < ξ 3 .
If
L 1 ( 1 + K ) + K + ( + 1 ) M < 1 ,
then a solution for the problem (1) with boundary condition exists in B.
Proof. 
Let H = υ B : υ S , where S R + , such that
S 2 Θ 0 + ξ 2 + ξ 3 + A + W 1 L 1 ( 1 + K ) ,
where Θ 0 = max ϖ [ ζ 1 , + ζ ] N ζ 1 | Θ ( ϖ , 0 ) | and
W = ξ 1 Γ ( ζ ) s = 0 ( ζ + s 1 ) ( ζ 1 ) + ( + 1 ) ξ 1 Γ ( ζ 1 ) s = 0 + 1 ( ζ + s 1 ) ( ζ 2 ) .
It is clear that the subset H B is convex, bounded and closed. Define the operators P 1 : B B and P 2 : H B as
P 1 υ = Θ ( ϖ , υ ( ϖ ) ) Θ ( ζ 1 , g ( υ ) ) + g ( υ ) + ( ζ 1 ϖ ) ( A + ψ ( υ ) ) P 2 υ = 1 Γ ( ζ ) s = 0 ϖ ζ ( ϖ s 1 ) ( ζ 1 ) M ( s 1 + ζ , υ ( s 1 + ζ ) ) + ( ζ 1 ϖ ) Γ ( ζ 1 ) s = 0 + 1 ( + ζ s 1 ) ( ζ 2 ) M ( s 1 + ζ , υ ( s 1 + ζ ) )
We shall proceed to show that the operators satisfy the conditions of Theorem 2.
Step 1: 
The operator P 1 is a contraction. From the assumptions J 1 and J 2 , we have
P 1 υ P 1 υ 1 | Θ ( ϖ , υ ( ϖ ) ) Θ ( ϖ , υ 1 ( ϖ ) ) | + | Θ ( ζ 1 , g ( υ ) ) Θ ( ζ 1 , g ( υ 1 ) ) | + | g ( υ ) g ( υ 1 ) | + | ζ 1 + ϖ | | ψ ( υ ) ψ ( υ 1 ) | P 1 υ P 1 υ 1 L 1 ( 1 + K ) + K + ( + 1 ) λ υ υ 1
It is evident from the condition (13) that the operator P 1 is a contraction.
Step 2: 
We aim at proving P 2 is completely continuous on H .
Since the continuity of P 2 is straightforward implication of continuity of M , we proceed to prove the uniform boundedness of P 2 .
P 2 υ = | 1 Γ ( ζ ) s = 0 ϖ ζ ( ϖ s 1 ) ( ζ 1 ) M ( s 1 + ζ , υ ( s 1 + ζ ) ) + ( ζ 1 ϖ ) Γ ( ζ 1 ) s = 0 + 1 ( + ζ s 1 ) ( ζ 2 ) M ( s 1 + ζ , υ ( s 1 + ζ ) ) | 1 Γ ( ζ ) s = 0 ϖ ζ ( ϖ s 1 ) ( ζ 1 ) M ( s 1 + ζ , υ ( s 1 + ζ ) ) + | ( ζ 1 ϖ ) | Γ ( ζ 1 ) s = 0 + 1 ( + ζ s 1 ) ( ζ 2 ) M ( s 1 + ζ , υ ( s 1 + ζ ) ) ξ 1 Γ ( ζ ) s = 0 ϖ ζ ( ϖ s 1 ) ( ζ 1 ) + ξ 1 ( + 1 ) Γ ( ζ 1 ) s = 0 + 1 ( + ζ s 1 ) ( ζ 2 ) W
Thus, the uniform boundedness on H of P 2 is confirmed.
We now prove the equicontinuity of P 2 .
Let for any ε > 0 , there exist ϖ 1 , ϖ 2 [ ζ 1 , + ζ ] N ζ 1 with ϖ 1 < ϖ 2 , such that
| ξ 1 Γ ( ζ ) s = 0 ϖ 2 ζ ( ϖ 2 s 1 ) ( ζ 1 ) s = 0 ϖ 1 ζ ( ϖ 1 s 1 ) ( ζ 1 ) | + ( ζ 1 ϖ 2 ) ( ζ 1 ϖ 1 ) ξ 1 Γ ( ζ 1 ) s = 0 + 1 ( ζ + s 1 ) ( ζ 2 ) < ϵ .
In this case,
| P 2 υ ( ϖ 2 ) P 2 υ ( ϖ 1 ) | = | 1 Γ ( ζ ) s = 0 ϖ 2 ζ ( ϖ 2 s 1 ) ( ζ 1 ) M ( s 1 + ζ , υ ( s 1 + ζ ) ) + ( ζ 1 ϖ 2 ) Γ ( ζ 1 ) s = 0 + 1 ( + ζ s 1 ) ( ζ 2 ) M ( s 1 + ζ , υ ( s 1 + ζ ) ) 1 Γ ( ζ ) s = 0 ϖ 1 ζ ( ϖ 1 s 1 ) ( ζ 1 ) M ( s 1 + ζ , υ ( s 1 + ζ ) ) ( ζ 1 ϖ 1 ) Γ ( ζ 1 ) s = 0 + 1 ( + ζ s 1 ) ( ζ 2 ) M ( s 1 + ζ , υ ( s 1 + ζ ) ) | 1 Γ ( ζ ) | s = 0 ϖ 2 ζ ( ϖ 2 s 1 ) ( ζ 1 ) s = 0 ϖ 1 ζ ( ϖ 1 s 1 ) ( ζ 1 ) M ( s 1 + ζ , υ ( s 1 + ζ ) ) | + | ( ζ 1 ϖ 2 ) ( ζ 1 ϖ 1 ) 1 Γ ( ζ 1 ) s = 0 + 1 ( + ζ s 1 ) ( ζ 2 ) M ( s 1 + ζ , υ ( s 1 + ζ ) ) | | ξ 1 Γ ( ζ ) s = 0 ϖ 2 ζ ( ϖ 2 s 1 ) ( ζ 1 ) s = 0 ϖ 1 ζ ( ϖ 1 s 1 ) ( ζ 1 ) | + ( ζ 1 ϖ 2 ) ( ζ 1 ϖ 1 ) ξ 1 Γ ( ζ 1 ) s = 0 + 1 ( ζ + s 1 ) ( ζ 2 ) | P 2 υ ( ϖ 2 ) P 2 υ ( ϖ 1 ) | ϵ .
Therefore, the operator P 2 is equi-continuous and Arzela–Ascoli’s theorem guarantees the completely continuity of P 2 .
Step 3: 
We aim to prove that υ = P 1 υ + P 2 υ 1 , for all υ 1 H υ H .
Let υ B , υ 1 H , such that υ = P 1 υ + P 2 υ 1 .
| υ ( ϖ ) | | P 1 υ | + | P 2 υ 1 | | Θ ( ϖ , υ ( ϖ ) ) Θ ( ζ 1 , g ( υ ) ) + g ( υ ) + A + ψ ( υ ) | + P 2 υ 1 | Θ ( ϖ , υ ( ϖ ) ) Θ ( ϖ , 0 ) + Θ ( ϖ , 0 ) | + | g ( υ ) | + | ψ ( υ ) | + A + | Θ ( ζ 1 , g ( υ ) ) Θ ( ϖ , 0 ) + Θ ( ϖ , 0 ) | + W L 1 ( 1 + K ) | υ | + 2 Θ 0 + A + W + ξ 2 + ξ 3 υ ( ϖ ) 2 Θ 0 + A + W + ξ 2 + ξ 3 1 ( L 1 ( 1 + K ) ) S .
It is evident that υ ( ϖ ) H and ensures the existence of at least one solution for the problem (1).
This completes the proof of the theorem. □

4. Hyers–Ulam Stability

In this section, we introduce the concept of Hyers–Ulam–Mittag–Leffler stability in the following definitions. Consider the Equation (1) and the following inequalities:
Δ * ζ [ υ 1 ( ϖ ) Θ ( ϖ , υ 1 ( ϖ ) ) ] M ( ϖ 1 + ζ , υ 1 ( ϖ 1 + ζ ) ) ϵ , ϖ 0 , N 0 .
Δ * ζ [ υ 1 ( ϖ ) Θ ( ϖ , υ 1 ( ϖ ) ) ] M ( ϖ + ζ 1 , υ 1 ( ϖ + ζ 1 ) ) ϵ ϕ ( ζ 1 + ϖ ) , ϖ 0 , N 0 .
Δ * ζ [ υ 1 ( ϖ ) Θ ( ϖ , υ 1 ( ϖ ) ) ] M ( ϖ + ζ 1 , υ 1 ( ϖ + ζ 1 ) ) ϵ F ζ ( λ , ϖ ) , ϖ 0 , N 0 .
Definition 4.
Equation (1) is Hyers–Ulam stable, if a positive real number γ > 0 exists for every ϵ > 0 and solution υ 1 B of (16) then there is a solution υ B of (1) with
υ 1 ( ϖ ) υ ( ϖ ) γ ϵ , ϖ [ ζ 1 , + ζ ] N ζ 1 .
Definition 5.
Equation (1) is Hyers–Ulam–Rassias stable with respect to ϕ if a positive real number γ > 0 exists for every ϵ > 0 and solution υ 1 B of (17) then there is a solution υ B of (1) with
υ 1 ( ϖ ) υ ( ϖ ) γ ϕ ( ϖ ) ϵ , ϖ [ ζ 1 , + ζ ] N ζ 1 .
Definition 6.
Equation (1) is Hyers–Ulam–Mittag–Leffler stable with Mittag–Leffler function F ζ ( λ , ϖ ) if a positive real number γ 1 > 0 exists for every ϵ > 0 and solution υ 1 B of (18) then there is a solution υ B of (1) with
υ 1 ( ϖ ) υ ( ϖ ) γ ϵ F ζ ( λ , ϖ ) , ϖ [ ζ 1 , + ζ ] N ζ 1 .
Before proceeding to prove the stability results let us consider the following remarks which are natural consequences of the above paragraphs. We now will define functions h 1 , h 2 and h 3 for proving the inequalities that are required to ensure the stability in the sense of Hyers and Ulam with Mittag–Leffler function.
Remark 1.
A function υ 1 B is a solution of (16) if, and only if, a function
h 1 : [ ζ 1 , + ζ ] N ζ 1 R
exists such that:
(i) 
h 1 ( ϖ 1 + ζ ) ϵ , ϖ 0 , N 0 ;
(ii) 
Δ * ζ [ υ 1 ( ϖ ) Θ ( ϖ , υ 1 ( ϖ ) ) ] = h 1 ( ϖ 1 + ζ ) + M ( ϖ 1 + ζ , υ 1 ( ϖ 1 + ζ ) ) , ϖ 0 , N 0 .
Remark 2.
A function υ 1 B is a solution of (17) if, and only if, a function
h 2 : [ ζ 1 , + ζ ] N ζ 1 R
exists such that:
(i) 
h 2 ( ϖ 1 + ζ ) ϵ ϕ ( ϖ 1 + ζ ) , ϖ 0 , N 0 ;
(ii) 
Δ * ζ [ υ 1 ( ϖ ) Θ ( ϖ , υ 1 ( ϖ ) ) ] = h 2 ( ϖ 1 + ζ ) + M ( ϖ 1 + ζ , υ 1 ( ϖ 1 + ζ ) ) , ϖ 0 , N 0 .
Remark 3.
A function υ 1 B is a solution of (18) if and only if a function
h 3 : [ ζ 1 , + ζ ] N ζ 1 R
exists such that:
(i) 
h 3 ( ϖ 1 + ζ ) ϵ F ζ ( μ , ϖ ) , ϖ 0 , N 0 ;
(ii) 
Δ * ζ [ υ 1 ( ϖ ) Θ ( ϖ , υ 1 ( ϖ ) ) ] = h 3 ( ϖ 1 + ζ ) + M ( ϖ 1 + ζ , υ 1 ( ϖ 1 + ζ ) ) , ϖ 0 , N 0 .
Theorem 5.
Assume that J 1 and J 2 hold. Let υ 1 B be a solution of (18) and υ B be a solution of boundary value problem (1). Then, (1) is Hyers–Ulam stable provided
L 1 ( 1 + K ) + K + ( + 1 ) λ Γ ( ζ + 1 ) Γ ( + 1 ) + L Γ ( ζ + + 1 ) ( ζ + 1 ) < Γ ( ζ + 1 ) Γ ( + 1 ) .
Proof. 
Inequality (16) and Remark (1) implies
| υ 1 ( ϖ ) Θ ( ϖ , υ 1 ( ϖ ) ) + Θ ( ζ 1 , g ( υ 1 ) ) g ( υ 1 ) ( ζ 1 ϖ ) [ A + ψ ( υ 1 ) ] 1 Γ ( ζ ) s = 0 ϖ ζ ( ϖ s 1 ) ( ζ 1 ) M ( s 1 + ζ , υ 1 ( s 1 + ζ ) ) ( ζ 1 ϖ ) Γ ( ζ 1 ) s = 0 + 1 ( + ζ s 1 ) ζ 2 M ( s 1 + ζ , υ 1 ( s 1 + ζ ) ) | ϵ Γ ( + ζ + 1 ) ζ Γ ( ζ ) Γ ( + 1 ) .
From (8) and (20), we obtain
υ 1 ( ϖ ) υ ( ϖ ) | υ 1 ( ϖ ) Θ ( ϖ , υ ( ϖ ) ) + Θ ( ζ 1 , g ( υ ) ) g ( υ ) ( ζ 1 ϖ ) [ A + ψ ( υ ) ] 1 Γ ( ζ ) s = 0 ϖ ζ ( ϖ s 1 ) ( ζ 1 ) M ( s 1 + ζ , υ ( s 1 + ζ ) ) ( ζ 1 ϖ ) Γ ( ζ 1 ) s = 0 + 1 ( + ζ s 1 ) ζ 2 M ( s 1 + ζ , υ ( s 1 + ζ ) ) | | υ 1 ( ϖ ) Θ ( ϖ , υ ( ϖ ) ) + Θ ( ζ 1 , g ( υ ) ) g ( υ ) ( ζ 1 ϖ ) [ A + ψ ( υ ) ] 1 Γ ( ζ ) s = 0 ϖ ζ ( ϖ s 1 ) ( ζ 1 ) M ( s 1 + ζ , υ ( s 1 + ζ ) ) ( ζ 1 ϖ ) Γ ( ζ 1 ) s = 0 + 1 ( + ζ s 1 ) ζ 2 M ( s 1 + ζ , υ ( s 1 + ζ ) ) Θ ( ϖ , υ 1 ( ϖ ) ) + Θ ( ζ 1 , g ( υ 1 ) ) g ( υ 1 ) ( ζ 1 ϖ ) [ A + ψ ( υ 1 ) ] 1 Γ ( ζ ) s = 0 ϖ ζ ( ϖ s 1 ) ( ζ 1 ) M ( s 1 + ζ , υ 1 ( s 1 + ζ ) ) ( ζ 1 ϖ ) Γ ( ζ 1 ) s = 0 + 1 ( + ζ s 1 ) ζ 2 M ( s 1 + ζ , υ 1 ( s 1 + ζ ) ) + Θ ( ϖ , υ 1 ( ϖ ) ) Θ ( ζ 1 , g ( υ 1 ) ) + g ( υ 1 ) + ( ζ 1 ϖ ) [ A + ψ ( υ 1 ) ] + 1 Γ ( ζ ) s = 0 ϖ ζ ( ϖ s 1 ) ( ζ 1 ) M ( s 1 + ζ , υ 1 ( s 1 + ζ ) ) + ( ζ 1 ϖ ) Γ ( ζ 1 ) s = 0 + 1 ( + ζ s 1 ) ζ 2 M ( s 1 + ζ , υ 1 ( s 1 + ζ ) ) | [ L Γ ( ζ ) s = 0 ϖ ζ ( ϖ s 1 ) ( ζ 1 ) + L ( ζ 1 ϖ ) Γ ( ζ 1 ) s = 0 ( + ζ s 2 ) ζ 2 ] υ 1 υ + ϵ Γ ( + ζ + 1 ) Γ ( ζ + 1 ) Γ ( + 1 ) L 1 ( 1 + K ) + K + ( 1 + ) λ + L Γ ( ζ + + 1 ) Γ ( ζ + 1 ) Γ ( + 1 ) ( 1 + ζ ) υ 1 υ + ϵ Γ ( + ζ + 1 ) ζ Γ ( ζ ) Γ ( + 1 ) υ 1 υ γ ϵ .
Therefore, if (19) holds, then (1) is stable in the sense of Hyers–Ulam with constant
γ = Γ ( + ζ + 1 ) Γ ( ζ + 1 ) Γ ( + 1 ) L 1 ( 1 + K ) + K + ( + 1 ) λ Γ ( ζ + 1 ) Γ ( + 1 ) + L Γ ( ζ + + 1 ) ( ζ + 1 ) .
Theorem 6.
Assume that J 1 and J 2 and the following condition holds. Consider an increasing function ϕ : [ ζ 1 , + ζ ] N ζ 1 R + and a constant δ > 0 such that:
1 Γ ( ζ ) s = 0 ϖ ζ ( ϖ s 1 ) ( ζ 1 ) ϕ ( s 1 + ζ ) δ ϵ ϕ ( s 1 + ζ ) , ϖ 0 , N 0 .
Let υ 1 B be a solution of (17) and υ B be a solution of (1). Then, (1) is Ulam–Hyers–Rassias stable provided (19) holds.
Proof. 
Theorem (6) follows from the proof of Theorem (5). □
Theorem 7.
Assume that J 1 and J 2 holds. Let υ 1 B be a solution of (18) and υ B be a solution of (1) Then, (1) is Hyers–Ulam–Mittag–Leffler stable provided (19) holds.
Proof. 
Inequality (18) and Remark (3) implies:
| υ 1 ( ϖ ) Θ ( ϖ , υ 1 ( ϖ ) ) + Θ ( ζ 1 , g ( υ 1 ) ) g ( υ 1 ) ( ζ 1 ϖ ) [ A + ψ ( υ 1 ) ] 1 Γ ( ζ ) s = 0 ϖ ζ ( ϖ s 1 ) ( ζ 1 ) M ( s 1 + ζ , υ 1 ( s 1 + ζ ) ) ( ζ 1 ϖ ) Γ ( ζ 1 ) s = 0 + 1 ( + ζ s 1 ) ζ 2 M ( s 1 + ζ , υ 1 ( s 1 + ζ ) ) | ϵ μ F ζ ( μ , ϖ ) .
From (8) and (22), we obtain:
υ 1 ( ϖ ) υ ( ϖ ) | υ 1 ( ϖ ) Θ ( ϖ , υ ( ϖ ) ) + Θ ( ζ 1 , g ( υ ) ) g ( υ ) ( ζ 1 ϖ ) [ A + ψ ( υ ) ] 1 Γ ( ζ ) s = 0 ϖ ζ ( ϖ s 1 ) ( ζ 1 ) M ( s 1 + ζ , υ ( s 1 + ζ ) ) ( ζ 1 ϖ ) Γ ( ζ 1 ) s = 0 + 1 ( + ζ s 1 ) ζ 2 M ( s 1 + ζ , υ ( s 1 + ζ ) ) | υ 1 ( ϖ ) P υ 1 ( ϖ ) + P υ 1 ( ϖ ) P υ ( ϖ ) υ 1 υ γ 1 ϵ F ζ ( μ , ϖ ) .
Therefore, if (19) holds then (1) is Hyers–Ulam–Mittag–Leffler stable with constant
γ 1 = Γ ( ζ + 1 ) Γ ( + 1 ) μ Γ ( ζ + 1 ) Γ ( + 1 ) L 1 ( 1 + K ) + K + ( + 1 ) λ Γ ( ζ + 1 ) Γ ( + 1 ) + L Γ ( ζ + + 1 ) ( ζ + 1 ) .

5. Applications

The rate of heat flow can be increased by enhancing one of the following three factors: surface area, difference in temperature, and convective heat transfer coefficient. The direction of transfer of heat from the region of the high temperature to the region of the lower temperature. Temperature difference between the object and its surroundings does have an impact on the heat transfer. Since there are certain limitations in varying the temperature (depends on the process) and heat transfer coefficient (cannot be increased beyond certain values), the only possible and most economical way of enhancing heat transfer is by introducing fins to the system. These metallic surfaces of different shapes with its length greater than its diameter or thickness have adiabatic or cooled tip [57]. The contact at the base of the surface may be perfect or imperfect. The general differential equation representing fins with constant thermal conductivity ( λ ) is
d 2 υ ( x ) d x 2 + 1 A ( x ) d A ( x ) d x d u ( x ) d x P ( x ) λ A ( x ) = 0 , 0 x L ,
where L is the length of the fin, heat transfer coefficient is denoted by , P ( x ) , and A ( x ) are the perimeter of the fin and area of cross section. The boundary conditions for the heat transfer through a fin can be defined in three different ways. The first two ways depend on the nature of contact (complete or incomplete) that the fin has with the surface and the third on being tip of fin that are insulated. For a fin with an insulated tip, the boundary condition at x = L is d u d x = 0 . The real life applications of these fins varies from radiators in cars, natural cooling of bike engines, heat sinks in CPUs, power plants, and hydrogen fuel cells. The fins type application in nature includes ears of Fennec foxes and Jack rabbits used for release of heat that is generated by the blood flow in their body.
Example 1.
Here in this example, we consider an adiabatic type fin used for heat transfer with constant perimeter and cross-sectional area. Then, the discrete fractional order form of (23) is
Δ 3 2 υ ( ϖ ) ( P ) ϑ A c υ ( ϖ + 0.5 ) = 0 , ϖ [ 0 , 10 ] N 0 ,
with boundary conditions υ ( 0.5 ) = 0.01 and Δ υ ( 11.5 ) = 0 .
Let the heat transfer coefficient = 1 W / m 2 K , thermal conductivity ϑ = 1.750 k W / m K , perimeter of fin P = 2.2 m and area of cross section of fin A c = 0.3850 m 2 . Then, M ( ϖ , υ ) = ( P ) ϑ A c υ ( ϖ + 0.5 ) for every ϖ [ 0.5 , 11.5 ] .
Hence, J 1 and J 2 are satisfied with L = 0.0033 , K = 0.01 , and ζ = 3 2 . Then, from Theorem (3), we observe ρ = 0.2545 < 1
Thus, (24) has a unique solution. In order to prove Hyers–Ulam stability of (24), we shall check the inequality (16). Let υ ( ϖ ) = ϖ ( 2 ) 15 and ϵ = 0.5 .
Δ 3 2 υ ( ϖ ) ( P ) ϑ A c υ ( ϖ + 0.5 ) = Δ 0.5 Δ 2 ϖ ( 2 ) 15 ( P ) ϑ A c ( ϖ + 0.5 ) ( 2 ) 15 = 0.5158 0.0287 = 0.4907 < ϵ .
Thus, the inequality (16) is satisfied. Similarly, from the inequality (18), we obtain
Δ 3 2 υ ( ϖ ) ( P ) ϑ A c υ ( ϖ + 0.5 ) = 0.4907 < ϵ F 1.5 ( 0.1 , 1 ) = 0.55 .
Therefore, Theorems (5) and (7) imply Hyers–Ulam stablility and Hyers–Ulam–Mittag–Leffler Stability of (24).
The effect that thermal conductivity of the surface has on the stability of the system is analyzed with different values of ϑ. The values that are obtained at different order of the system are tabulated in Table 1. The values are plotted in Figure 1 and the stability conditions for the considered parameter values are less than 1. Hence, it coincides with our theory. A 3-dimensional plot for continuously varying thermal conductivity ϑ, fractional order ζ and corresponding values of ρ is presented in Figure 2. It can be observed from Figure 1 and Figure 2 that the increase in thermal conductivity results in stability of the system. The values tabulated in Table 1 also reflects the corresponding impact of fractional order and thermal conductivity on the stability of the system. From the 3-dimensional plot it is visible that for thermal conductivity of 1.5 k W / m K and fractional order υ = 1.99 the stability condition attains greater value near to 1, proving that at υ = 1.99 and for lesser values of ϑ the system becomes unstable.
Example 2.
Consider the non-linear fractional difference equation
Δ 9 5 υ ( ϖ ) ( ϖ + 0.8 ) ( 0.95 ) 25 sin ( υ ( ϖ + 0.8 ) ) = 0 , ϖ [ 0 , 12 ] N 0 ,
with boundary conditions υ ( 0.8 ) = υ 10 and Δ υ ( 13.8 ) = 0.02 .
Take M ( ϖ , υ ) = Γ ( ϖ + 1.8 ) 25 Γ ( ϖ + 2.75 ) sin ( υ ( ϖ + 0.8 ) ) for every ϖ [ 0.8 , 13.8 ] .
Hence, J 1 and J 2 are satisfied with L = Γ ( ϖ + 1.8 ) 25 Γ ( ϖ + 2.75 ) , K = 0.1 and ζ = 9 5 . Then, from Theorem (3), we obtain ρ = 0.7592 < 1 . Thus, (25) has a unique solution. With υ ( ϖ ) = ϖ ( 2 ) 10 and ϵ = 0.4 , the inequality (16) implies
| Δ 9 5 υ ( ϖ ) ( ϖ + 0.8 ) ( 0.95 ) 25 sin ( υ ( ϖ + 0.8 ) ) | = Δ 0.2 Δ 2 ϖ ( 2 ) 10 ( ϖ + 0.8 ) ( 0.95 ) 25 sin ( ϖ + 0.8 ) ( 2 ) 10 = 0.3736 < ϵ .
The inequality (16) holds, similarly with the inequality (18), we obtain
Δ 9 5 υ ( ϖ ) ( ϖ + 0.8 ) ( 0.95 ) 25 sin ( υ ( ϖ + 0.8 ) ) = 0.3736 < ϵ F 1.8 ( 0.1 , 1 ) = 0.44 .
From Theorems (5) and (7), we establish Hyers–Ulam stablility and Hyers–Ulam–Mittag–Leffler stability of (25).
The impact of varying fractional order ζ on the stability of the problem (25) is represented in Figure 3 by plotting ρ defined in (11). The start and end points along the x-axis are based on the range of fractional order ζ ( 1 , 2 ) . The corresponding values obtained are tabulated in Table 2. From Figure 3 it can be understood that the value of ρ for all the values ζ ( 1 , 2 ) is less than 1 coinciding with the theory. Figure 3 illustrates that the considered system (25) remains stable for ζ ( 1 , 2 ) , but the value of ρ increases with increasing fractional order ζ . Thus, for choice of different parameter values the system (25) may be unstable when the order of the system is higher. The regression equation for the values tabulated in Table 2 is given by Y = 0.2052 X + 0.5215 .

6. Conclusions

The hybrid type boundary value problem with fractional order discrete time is considered and existence results along with the uniqueness of the solution are established. The stability in the sense of Hyers and Ulam using Mittag–Leffler function is illustrated for the boundary value problem. The application of heat transfer between surfaces using fins is taken into consideration and theoretical results obtained for general case are applied to check the suitability. The 2D and 3D simulations are provided to strengthen the results. The thermal conductivity ( ϑ ) and fractional order υ are taken as a parameters of study and is varied between 1.5 kW/mK and 3.0 kW/mK and ( 1 , 2 ) , respectively, to analyze their impact. It can be observed that the boundary problem of heat transfer with fins remains stable for all the values of ϑ ( 1.5 , 3.0 ) and for fractional order ζ ( 1 , 2 ) . The work can be further extended to explore the stability properties of hybrid type sum-difference equations with variable order.

Author Contributions

Conceptualization, W.S., A.G.M.S., V.D. and J.A.; methodology, W.S., A.G.M.S., V.D. and J.A.; software, W.S., A.G.M.S., V.D. and J.A.; validation, W.S., A.G.M.S., V.D. and J.A.; formal analysis, W.S., A.G.M.S., V.D. and J.A.; writing—original draft preparation, W.S., A.G.M.S., V.D. and J.A.; writing—review and editing, W.S., A.G.M.S., V.D. and J.A. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the University of Jeddah under grant No.(UJ-21-DR-37).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

This work was funded by the University of Jeddah, Jeddah, Saudi Arabia, under grant No. (UJ-21-DR-37). The authors, therefore, acknowledge with thanks the University of Jeddah for the technical and financial support.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Results illustrating impact of fractional order ( ζ ) on stability Condition ( ρ ) .
Figure 1. Results illustrating impact of fractional order ( ζ ) on stability Condition ( ρ ) .
Symmetry 14 01877 g001
Figure 2. The 3-dimensional plot of results illustrating impact of fractional order ( ζ ) and thermal conductivity ( ϑ ) on ( ρ ) .
Figure 2. The 3-dimensional plot of results illustrating impact of fractional order ( ζ ) and thermal conductivity ( ϑ ) on ( ρ ) .
Symmetry 14 01877 g002
Figure 3. Impact of fractional order ( ζ ) on stability Condition ( ρ ) .
Figure 3. Impact of fractional order ( ζ ) on stability Condition ( ρ ) .
Symmetry 14 01877 g003
Table 1. Impact of fractional order ζ on the stability condition ρ .
Table 1. Impact of fractional order ζ on the stability condition ρ .
υ ϑ = 1.5 kW / mK ϑ = 2.0 kW / mK ϑ = 2.5 kW / mK ϑ = 3 kW / mK
ρ
1.090.51480.38860.31290.2624
1.190.54350.41070.33010.2768
1.290.56900.42930.34540.2895
1.390.59220.44660.35930.3011
1.490.61380.46290.37230.3119
1.590.63510.47880.38510.3225
1.690.65730.49550.39840.3336
1.790.68190.51390.41310.3460
1.890.71060.53550.43040.3603
1.990.74530.56150.45120.3777
Table 2. Impact of fractional order ζ on ρ .
Table 2. Impact of fractional order ζ on ρ .
ζ 1.090001.19001.290001.39001.49001.59001.69001.79001.89001.9900
ρ 0.74160.76880.79130.81050.82750.84400.86160.88210.90770.9405
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Shammakh, W.; Selvam, A.G.M.; Dhakshinamoorthy, V.; Alzabut, J. Stability of Boundary Value Discrete Fractional Hybrid Equation of Second Type with Application to Heat Transfer with Fins. Symmetry 2022, 14, 1877. https://doi.org/10.3390/sym14091877

AMA Style

Shammakh W, Selvam AGM, Dhakshinamoorthy V, Alzabut J. Stability of Boundary Value Discrete Fractional Hybrid Equation of Second Type with Application to Heat Transfer with Fins. Symmetry. 2022; 14(9):1877. https://doi.org/10.3390/sym14091877

Chicago/Turabian Style

Shammakh, Wafa, A. George Maria Selvam, Vignesh Dhakshinamoorthy, and Jehad Alzabut. 2022. "Stability of Boundary Value Discrete Fractional Hybrid Equation of Second Type with Application to Heat Transfer with Fins" Symmetry 14, no. 9: 1877. https://doi.org/10.3390/sym14091877

APA Style

Shammakh, W., Selvam, A. G. M., Dhakshinamoorthy, V., & Alzabut, J. (2022). Stability of Boundary Value Discrete Fractional Hybrid Equation of Second Type with Application to Heat Transfer with Fins. Symmetry, 14(9), 1877. https://doi.org/10.3390/sym14091877

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