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Article

Maximum and Minimum Results for the Green’s Functions in Delta Fractional Difference Settings

by
Pshtiwan Othman Mohammed
1,2,*,
Carlos Lizama
3,
Alina Alb Lupas
4,*,
Eman Al-Sarairah
5,6 and
Mohamed Abdelwahed
7
1
Department of Mathematics, College of Education, University of Sulaimani, Sulaimani 46001, Iraq
2
Research and Development Center, University of Sulaimani, Sulaymaniyah 46001, Iraq
3
Departamento de Matemática y Ciencia de la Computación, Facultad de Ciencia, Universidad de Santiago de Chile, Casilla 307, Correo 2, Santiago 8320000, Chile
4
Department of Mathematics and Computer Science, University of Oradea, 410087 Oradea, Romania
5
Department of Mathematics, Khalifa University of Science and Technology, Abu Dhabi P.O. Box 127788, United Arab Emirates
6
Department of Mathematics, Al-Hussein Bin Talal University, P.O. Box 20, Ma’an 71111, Jordan
7
Department of Mathematics, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia
*
Authors to whom correspondence should be addressed.
Symmetry 2024, 16(8), 991; https://doi.org/10.3390/sym16080991
Submission received: 30 June 2024 / Revised: 26 July 2024 / Accepted: 1 August 2024 / Published: 5 August 2024
(This article belongs to the Special Issue Symmetry in Geometric Theory of Analytic Functions)

Abstract

:
The present paper is dedicated to the examination of maximum and minimum results based on Green’s functions via delta fractional differences for a class of fractional boundary problems. For such a purpose, we built the corresponding Green’s functions based on the falling factorial functions. In addition, using the constructed Green’s function, the positivity of the function and its corresponding delta function are presented. We also verified the occurrence of two distinct functions with the same Green’s function. The maximality and minimality of the Green’s function show a good qualitative agreement. Finally, we considered some special examples to explain the obtained results.

1. Introduction

In the last two decades, a large number of fractional differential and difference equations have been studied with their application in fractional calculus, telecommunication, mathematical modeling, biological modeling, and so on; see e.g., [1,2,3,4]. One of the fundamental problems in science is the development of suitable fractional operators to extract useful information from fractional and discrete fractional calculus; see e.g., [5,6,7]. These operators are important in many fields of science, including physics, applied science, mathematics, and scientific computing, as well as some related research fields, such as engineering sciences, fluid dynamics, number theory, mathematical physics, and quantum mechanics; see for example [8,9,10,11].
The study of the fractional boundary value problems (FBVPs) has attracted the attention of researchers through the world, and these models have rarely been investigated in the context of discrete fractional calculus [12,13]. The problem of finding the existence and uniqueness of discrete FBVPs in relation to the homogeneous and inhomogeneous boundary conditions is critical for mathematical and physical applications. For this reason, different models have been proposed in the literature aiming to calculate the existence and uniqueness of discrete FBVP models, using analytical and numerical or experimental approaches; see for example [14,15] to be familiar with these operators.
On the other hands, the FBVPs have been extensively modelled since its beginning, and with the flourishing development of discrete fractional calculus, the qualitative analysis of FBVPs for fractional difference equations has become an active research field. There are several books and papers devoted to fractional difference modelling in both the commonly used fractional differences: Riemann–Liouville and Liouville–Caputo settings; see, e.g., [16,17,18,19,20,21,22], for instance. Moreover, the existence and uniqueness of the solutions of FBVPs have been investigated via other types of fractional differences, including the Attangana–Baleanu and Caputo–Fabrizio fractional operators; see for example [23,24,25,26].
We have previously introduced several models of FBVPs to better understand their interactions; for example in [27,28]. Motivated by the FBVP used in [27], we aim to examine the following FBVP:
Δ b 0 + 1 RL w ( t ) = g ( t + ) , t J ( b 0 + 2 , b ) , I 2 , α 1 w ( b 0 ) α 2 ( w ) ( b 0 + 1 ) = 0 , δ 2 w ( b ) + δ 1 ( w ) ( b ) = 0 .
where g : J ( b 0 + 2 , b ) R , and α 1 2 + α 2 2 > 0 , δ 2 2 + δ 1 2 > 0 , for α 1 , α 2 , δ 2 , δ 1 R and J ( b 0 + 2 , b ) = { b 0 + 2 ,   b 0 + 3 ,   ,   b } . With these motivations and considerations in mind, in this article, we will establish bounded results to the Green’s functions obtained from the above delta fractional operator.
The remaining part of this paper has structured in the sequence: In the next section, we have briefly presented fundamental structures and basic theorems related to Green’s functions and FBVPs. Then, in Section 3, we have studied the conduction of Green’s functions associated with the proposed FBVP. In addition, we have two parts for the main results in this section: In Section 3.1, the essential positivity results of the operators have been deducted along with their existence results, and we have presented the bounded results in Section 3.2 regarding the maximality and minimality. Then, in Section 4, we have presented a related numerical example. Concluding remarks, together with the future directions, are detailed in Section 5.

2. Preliminaries

Let I n = ( n 1 , n ) , J ( b 0 ) = { b 0 , b 0 + 1 , } , n J ( 1 ) , and Υ ( t ) = t + 1 . We refer to Definition 2.25 in [2]; the delta-fractional sum is given as follows:
Δ b 0 w ( t ) = t 2 = b 0 t W 1 ( t , Υ ( t 2 ) ) w ( t 2 ) , for t J ( b 0 + ) ,
and Theorem 2.2 in [29]; the delta-fractional difference is given as follows:
Δ b 0 RL w ( t ) = t 2 = b 0 t + W 1 ( t , Υ ( t 2 ) ) w ( t 2 ) , for t J ( b 0 + n ) ,
for I n and w is defined by J ( b 0 ) . Also, we have
W ( t , t 2 ) : = ( t t 2 ) ̲ Γ ( + 1 ) = Γ t t 2 + 1 Γ ( + 1 ) Γ t t 2 + 1 .
Next, we recall some properties of W ( t , t 2 ) .
Lemma 1
(see [2,14]). If R + , then
(i)
W ( t , b 0 ) = W 1 ( t 1 , b 0 ) .
(ii)
For t J ( b 0 ) , we have
W ( t + 1 , b 0 ) W 1 ( t + 2 , b 0 ) = W ( t + 1 , Υ ( b 0 ) ) = W ( t + 2 , b 0 ) .
(iii)
For t J ( b 0 + n ) as I n , we have
Δ b 0 + n α 1 RL Δ b 0 RL w ( t ) = w ( t ) .
(iv)
t J ( b 0 + 1 ) , we have
t 2 = b 0 + 1 t W ( t 2 + 1 , b 0 ) = W + 1 ( t + , b 0 ) , t 2 = b 0 + 1 t W ( t 2 + + 1 , Υ ( t 2 ) ) = W + 1 ( t + , b 0 ) .
Lemma 2
(see [28]). Let t 2 J ( b 0 ) . Then, one can have
(i)
If > 0 , then
  • W ( t + + 1 , Υ ( t 2 ) ) is decreasing with reference to t 2 , for t J ( t 2 1 ) .
  • W ( t + + 1 , Υ ( t 2 ) ) is increasing with reference to t, for t J ( t 2 ) .
(ii)
If > 1 , then
  • W ( t + + 1 , Υ ( t 2 ) ) 0 , for t J ( t 2 1 ) .
  • W ( t + + 1 , Υ ( t 2 ) ) > 0 , for t J ( t 2 ) .
(iii)
If 0 > > 1 , then
  • W ( t + + 1 , Υ ( t 2 ) ) is increasing with reference to t 2 , for t J ( t 2 ) .
  • W ( t + + 1 , Υ ( t 2 ) ) is increasing with reference to t, for t J ( t 2 + 1 ) .
(iv)
If 0 , then W ( t + + 1 , Υ ( t 2 ) ) is non-decreasing with reference to t, for t J ( t 2 1 ) .
Lemma 3
(see [28]). For t 2 J ( b 0 + 1 ) , t J ( t 2 ) and > 1 , we define
T ( t , t 2 ) = W ( t + + 1 , Υ ( t 2 ) ) W ( t + 1 , b 0 ) .
Then, we have
i-
T ( t , t 2 ) > 0 .
ii-
T ( t , t 2 ) 1 , where > 0 , and T ( t , t 2 ) 1 , where 1 < < 0 , specifically, T 0 ( t , t 2 ) = 1 .
iii-
The function T ( t , t 2 ) is non-increasing with reference to t, where > 0 .
iv-
The function T ( t , t 2 ) is non-increasing with reference to t, where 1 < < 0 .
Lemma 4
(see [28]). The general solution of
Δ b 0 RL w ( t ) = g ( t + ) , t J ( b 0 + 2 ) ,
is given as follows
w ( t ) = c 1 W 1 t + , Υ ( b 0 ) + c 2 W 2 ( t + 1 , Υ ( b 0 ) )
Δ b 0 + 2 α 1 g ( t + ) , t J ( b 0 ) ,
where I 2 , c 1 and c 2 are arbitrary constants.

3. Main Results

First, we study our essential results on Green’s functions. By considering (1), we define the following notations:
B 1 = α 1 + α 2 ( 1 ) , B 2 = B 1 + α 2 = α 1 + α 2 ( 2 ) , f 1 ( r ) = δ 2 W 1 b + , Υ ( r ) + δ 1 W 2 b + 1 , Υ ( r ) , r J ( b 0 , b ) , f 2 ( r ) = B 2 W 1 r + , Υ ( b 0 ) B 1 W 2 r + 1 , Υ ( b 0 ) , r J ( b 0 , b ) , A = δ 2 W 2 b + 1 , Υ ( b 0 ) + δ 1 W 3 b + 2 , Υ ( b 0 ) , λ = B 2 f 1 ( b 0 ) B 1 A .
Theorem 1.
There is a unique solution for the FBVP (1), which is given by
w ( t ) = t 2 = b 0 + 2 b G ( t , t 2 ) g ( t 2 ) , t J ( b 0 , b ) ,
where
G ( t , t 2 ) = G 1 ( t , t 2 ) : = f 2 ( t ) λ f 1 ( t 2 ) , t J ( b 0 , t 2 1 ) ; G 2 ( t , t 2 ) : = G 1 ( t , t 2 ) W 1 t + , Υ ( t 2 ) , t J ( t 2 , b ) .
Proof. 
The general solution of (1) is given by (7). It follows from this and Lemma 1 that
(   w ) ( t ) = c 1 W 2 t + 1 , Υ ( b 0 ) + c 2 W 3 t + 2 , Υ ( b 0 ) Δ b 0 + 2 α 1 g ( t + ) = c 1 W 2 t + 1 , Υ ( b 0 ) + c 2 W 3 t + 2 , Υ ( b 0 )
Δ b 0 + 2 1 α 1 g ( t + 1 ) ,
for t J ( b 0 , b ) . By using the BCs of (1) in (7) and (10), respectively, we obtain
c 1 B 1 + c 2 B 2 = 0 ,
and
c 1 f 1 ( b 0 ) + c 2 A = t 2 = b 0 + 2 b f 1 ( t 2 ) g ( t 2 ) .
From these equations, it follows that
c 1 = B 2 λ t 2 = b 0 + 2 b f 1 ( t 2 ) g ( t 2 ) ,
and
c 2 = B 1 λ t 2 = b 0 + 2 b f 1 ( t 2 ) g ( t 2 ) .
By substituting the values of c 1 and c 2 in (7), we obtain the desired result. Therefore, the proof is complete. □
  • We have divided the main results of this section into two parts.

3.1. Positivity Results

This subsection is dedicated to prove some necessary lemmas for the positivity of operators.
Lemma 5.
Let α 1 , α 2 , δ 2 , δ 1 > 0 s.t. α 1 α 2 . Then, we have
(a)
B 1 , B 1 , f 1 ( r ) > 0 , for r J ( b 0 , b ) ;
(b)
f 1 ( b 0 ) A > 0 ;
(c)
λ > 0 ;
(d)
f 2 ( r ) 0 , for r J ( b 0 , b ) ;
(e)
f 2 ( r ) > 0 , for r J ( b 0 + 1 , b ) .
Proof. 
By considering Lemma 2 (ii), we obtain (a).
  • Next, by using the hypothesis and Lemmas 1–2 (ii), we see that
    f 1 ( b 0 ) A = δ 2 W 1 b + , Υ ( b 0 ) W 2 b + 1 , Υ ( b 0 ) + δ 1 W 2 b + 1 , Υ ( b 0 ) δ 1 W 3 b + 2 , Υ ( b 0 ) = δ 2 W 1 b + 2 , b 0 + δ 1 W 2 b + 3 , b 0 > 0 ,
    which proves (b).
  • For the next one, we use (a) and (b) to obtain
    λ = B 2 f 1 ( b 0 ) B 1 A = ( B 1 + α 2 ) f 1 ( b 0 ) B 1 A = B 1 f 1 ( b 0 ) A + α 2 f 1 ( b 0 ) > 0 ,
    which gives the proof of (c).
  • By considering (a), Lemma 1 (ii), Lemma 2 (i,ii), we have
    f 2 ( r ) = B 2 W 1 r + , Υ ( b 0 ) B 1 W 2 r + 1 , Υ ( b 0 ) = ( B 1 + α 2 ) W 1 r + , Υ ( b 0 ) B 1 W 2 r + 1 , Υ ( b 0 ) = B 1 W 1 r + , Υ ( b 0 ) W 2 r + , Υ ( b 0 ) + α 2 W 1 r + , Υ ( b 0 ) = B 1 W 1 ( r + 2 , b 0 ) + α 2 W 1 r + , Υ ( b 0 ) 0 ,
    for r J ( b 0 , b ) . This has proved (d).
  • The final item can be proved by using (d) and Lemma 1 (i) as follows:
    f 2 ( r ) = B 1 W 1 ( r + 2 , b 0 ) + α 2 W 1 r + , Υ ( b 0 ) = B 1 W 2 ( r + 3 , b 0 ) + α 2 W 2 r + 1 , Υ ( b 0 ) > 0 ,
    for r J ( b 0 + 1 , b ) . Hence, the proof is complete. □
Lemma 6.
With the same assumptions as the above lemma, we have
G ( t , t 2 ) 0 , ( t , t 2 ) J ( b 0 , b ) × J ( b 0 + 2 , b ) .
Proof. 
Considering Theorem 1, we have
G 1 ( t , t 2 ) = f 2 ( t ) λ f 1 ( t 2 ) 0 ,
as f 2 ( t ) 0 ,   λ > 0 ,   f 1 ( t 2 ) > 0 for t J ( b 0 , b ) and t 2 J ( b 0 + 2 , b ) according to Lemma 5.
  • Moreover, we have
    G 2 ( t , t 2 ) = f 2 ( t ) λ f 1 ( t 2 ) W 1 t + , Υ ( t 2 ) = 1 λ [ f 2 ( t ) f 1 ( t 2 ) λ W 1 t + , Υ ( t 2 ) ]
    = 1 λ [ B 1 δ 2 E 1 + B 1 δ 1 E 2 + α 2 δ 2 E 3 + α 2 δ 1 E 4 ] ,
    where
    E 1 = W 1 b + , Υ ( t 2 ) W 1 t + 2 , b 0 W 1 t + , Υ ( t 2 ) W 1 b + 2 , b 0 ;
    E 2 = W 2 b + 1 , Υ ( t 2 ) W 1 t + 2 , b 0 W 1 t + , Υ ( t 2 ) W 2 b + 3 , b 0 ;
    E 3 = W 1 b + , Υ ( t 2 ) W 1 t + , Υ ( b 0 ) W 1 t + , Υ ( t 2 ) W 1 b + , Υ ( b 0 ) ;
    E 4 = W 2 b + 1 , Υ ( t 2 ) W 1 t + , Υ ( b 0 ) W 1 t + , Υ ( t 2 ) W 2 b + 1 , Υ ( b 0 ) .
  • Computing these values in turn, we have
    E 1 = W 1 t + , Υ ( t 2 ) W 1 b + 2 , b 0 × W 1 b + , Υ ( t 2 ) W 1 b + 2 , b 0 W 1 t + 2 , b 0 W 1 t + , Υ ( t 2 ) 1 = W 1 t + , Υ ( t 2 ) W 1 b + 2 , b 0 T 1 b , t 2 T 1 t , t 2 1 0 ,
    where we used W 1 t + , Υ ( t 2 ) W 1 b + 2 , b 0 > 0 according to Lemma 2 (ii), and T 1 b , t 2 T 1 t , t 2 according to Lemma 3. Also,
    E 2 = W 2 b + 1 , Υ ( t 2 ) W 1 t + 2 , b 0 W 1 t + , Υ ( t 2 ) W 2 b + 3 , b 0 > W 2 b + 1 , Υ ( b 0 ) + 1 W 1 t + 2 , t 2 1 W 1 t + , Υ ( t 2 ) W 2 b + 3 , b 0 = 0 ,
    where we have used Lemma 2 (i,iii) and
    W 2 b + 1 , Υ ( b 0 ) + 1 = W 2 b + 3 , b 0 , W 1 t + 2 , t 2 1 = W 1 t + , Υ ( t 2 ) ,
    for t 2 J ( b 0 + 2 , b ) and I 2 .
  • Again, by using Lemma 2 (ii) and Lemma 3, we have
    E 3 = W 1 b + , Υ ( t 2 ) W 1 t + , Υ ( b 0 ) W 1 t + , Υ ( t 2 ) W 1 b + , Υ ( b 0 ) = W 1 t + , Υ ( t 2 ) W 1 b + , Υ ( b 0 ) × W 1 b + , Υ ( t 2 ) W 1 b + , Υ ( b 0 ) W 1 t + , Υ ( b 0 ) W 1 t + , Υ ( t 2 ) 1 = W 1 t + , Υ ( t 2 ) W 1 b + , Υ ( b 0 ) T 1 b , t 2 T 1 t , t 2 1 0 .
  • Finally, by using Lemma 2 (i,iii), we have
    E 4 = W 2 b + 1 , Υ ( t 2 ) W 1 t + , Υ ( b 0 ) W 1 t + , Υ ( t 2 ) W 2 b + 1 , Υ ( b 0 ) > W 2 b + 1 , Υ ( b 0 ) W 1 t + , Υ ( s ) W 1 t + , Υ ( t 2 ) W 2 b + 1 , Υ ( b 0 ) = 0 .
  • Therefore, by considering the E ’s values in (12) and the hypotheses, we have
    G 2 ( t , t 2 ) = f 2 ( t ) λ f 1 ( t 2 ) 0 ,
    for t J ( b 0 , b ) and t 2 J ( b 0 + 2 , b ) . Hence, G ( t , t 2 ) 0 , for ( t , t 2 ) J ( b 0 , b ) × J ( b 0 + 2 , b ) , according to (11) and (13). This completes the proof. □

3.2. Max and Min Results

The maximality and minimality of the proposed Green’s function will be stated in the following theorems.
Theorem 2.
With the same assumptions as the Lemma 5, we have
max t J ( b 0 , b ) G ( t , t 2 ) = G ( t 2 1 , t 2 ) , t 2 J ( b 0 + 2 , b ) .
Proof. 
According to Theorem 1 one can have
t G 1 ( t , t 2 ) = t f 2 ( t ) λ f 1 ( t 2 ) > 0 ,
according to Lemma 5, for ( t , t 2 ) J ( b 0 + 1 , t 2 1 ) × J ( b 0 + 2 , b ) .
  • Next, from Lemma 6, we have
    t G 2 ( t , t 2 ) = 1 λ [ t f 2 ( t ) f 1 ( t 2 ) λ W 2 t + 1 , Υ ( t 2 ) ] = 1 λ [ B 1 δ 2 F 1 + B 1 δ 1 F 2 + α 2 δ 2 F 3 + α 2 δ 1 F 4 ] ,
    where
    F 1 = t E 1 = W 1 b + , Υ ( t 2 ) W 2 t + 3 , b 0 W 2 t + 1 , Υ ( t 2 ) W 1 b + 2 , b 0 ; F 2 = t E 2 = W 2 b + 1 , Υ ( t 2 ) W 2 t + 3 , b 0 W 2 t + 1 , Υ ( t 2 ) W 2 b + 3 , b 0 ; F 3 = t E 3 = W 1 b + , Υ ( t 2 ) W 2 t + 1 , Υ ( b 0 ) W 2 t + 1 , Υ ( t 2 ) W 1 b + , Υ ( b 0 ) ; F 4 = t E 4 = W 2 b + 1 , Υ ( t 2 ) W 2 t + 1 , Υ ( b 0 ) W 2 t + 1 , Υ ( t 2 ) W 2 b + 1 , Υ ( b 0 ) .
  • By using the same techniques used in the previous lemma, we can calculate each F s as follows:
    F 1 = W 1 b + , Υ ( t 2 ) W 2 t + 3 , b 0 W 2 t + 1 , Υ ( t 2 ) W 1 b + 2 , b 0 < W 1 b + 2 , b 0 W 2 t + 1 , Υ ( t 2 ) W 2 t + 1 , Υ ( t 2 ) W 1 b + 2 , b 0 = 0 ,
    F 2 = W 2 b + 1 , Υ ( t 2 ) W 2 t + 3 , b 0 W 2 t + 1 , Υ ( t 2 ) W 2 b + 3 , b 0 = W 2 t + 1 , Υ ( t 2 ) W 2 b + 3 , b 0 × W 2 b + 1 , Υ ( t 2 ) W 2 b + 3 , b 0 W 2 t + 3 , b 0 W 2 t + 1 , Υ ( t 2 ) 1 = W 2 t + 1 , Υ ( t 2 ) W 2 b + 3 , b 0 T 2 b , t 2 T 2 t , t 2 1 0 ,
    F 3 = W 1 b + , Υ ( t 2 ) W 2 t + 1 , Υ ( b 0 ) W 2 t + 1 , Υ ( t 2 ) W 1 b + , Υ ( b 0 ) < W 1 b + , Υ ( b 0 ) W 2 t + 1 , Υ ( s ) W 2 t + 1 , Υ ( t 2 ) W 1 b + , Υ ( b 0 ) = 0 ,
    and
    F 4 = W 2 b + 1 , Υ ( t 2 ) W 2 t + 1 , Υ ( b 0 ) W 2 t + 1 , Υ ( t 2 ) W 2 b + 1 , Υ ( b 0 ) = W 2 t + 1 , Υ ( t 2 ) W 2 b + 1 , Υ ( b 0 ) × W 2 b + 1 , Υ ( t 2 ) W 2 b + 1 , Υ ( b 0 ) W 2 t + 1 , Υ ( b 0 ) W 2 t + 1 , Υ ( t 2 ) 1 = W 2 t + 1 , Υ ( t 2 ) W 2 b + 1 , Υ ( b 0 ) T 2 b , t 2 W 2 t , t 2 1 0 .
  • Therefore, we conclude from the hypotheses and these values
    t G 2 ( t , t 2 ) < 0 ,
    for ( t , t 2 ) J ( t 2 , b ) × J ( b 0 + 2 , b ) .
  • As a consequence, for t 2 J ( b 0 + 2 , b ) , we obtain the result
    max t J ( b 0 , b ) G ( t , t 2 ) = max t J ( b 0 , b ) G 1 ( t 2 1 , t 2 ) , G 2 ( t 2 , t 2 ) = G ( t 2 1 , t 2 ) ,
    where we have used
    G 2 ( t 2 , t 2 ) G 1 ( t 2 1 , t 2 ) = f 2 ( t 2 ) λ f 1 ( t 2 ) W 1 t 2 + , Υ ( t 2 ) f 2 ( t 2 1 ) λ f 1 ( t 2 ) = f 1 ( t 2 ) λ f 2 ( t 2 ) f 2 ( t 2 1 ) W 1 t 2 + , Υ ( t 2 ) = t 2 f 2 ( t 2 ) λ f 1 ( t 2 ) W 2 t 2 + 1 , Υ ( t 2 ) = t 2 G 2 ( t 2 , t 2 ) < 0 .
  • Thus, we have completed our proof. □
Theorem 3.
With the same assumptions as the Lemma 5, we have
max t J ( b 0 , b ) G ( t , t 2 ) χ G ( t 2 1 , t 2 ) , t 2 J ( b 0 + 2 , b ) ,
where
χ = 1 f 2 ( b 1 ) min f 2 ( b 0 ) , f 2 ( b ) λ δ 2 + δ 1 1 b b 0 + 3 .
Proof. 
Theorem 2 implies that
G 1 ( b 0 , t 2 ) G 1 ( t , t 2 ) G 1 ( t 2 1 , t 2 ) ,
for ( t , t 2 ) J ( b 0 , t 2 1 ) × J ( b 0 + 2 , b )
G 2 ( b , t 2 ) G 2 ( t , t 2 ) G 2 ( t 2 , t 2 ) ,
for ( t , t 2 ) J ( t 2 , b ) × J ( b 0 + 2 , b ) .
  • We consider
    G ( t , t 2 ) G ( t 2 1 , t 2 ) = G 1 ( t , t 2 ) G ( t 2 1 , t 2 ) , t J ( b 0 , t 2 1 ) ; G 2 ( t , t 2 ) G ( t 2 1 , t 2 ) , t J ( t 2 , b ) .
  • It follows from (14) and (15) that
    G ( t , t 2 ) G ( t 2 1 , t 2 ) G 1 ( b 0 , t 2 ) G ( t 2 1 , t 2 ) , t J ( b 0 , t 2 1 ) ; G 2 ( b , t 2 ) G ( t 2 1 , t 2 ) , t J ( t 2 , b ) , = f 2 ( b 0 ) f 2 ( t 2 1 ) , t J ( b 0 , t 2 1 ) ; f 2 ( b ) f 2 ( t 2 1 ) λ W 1 b + , Υ ( t 2 ) f 2 ( t 2 1 ) f 1 ( t 2 ) , t J ( t 2 , b ) ,
    = 1 f 2 ( t 2 1 ) f 2 ( b 0 ) , t J ( b 0 , t 2 1 ) ; f 2 ( b ) λ W 1 b + , Υ ( t 2 ) f 1 ( t 2 ) , t J ( t 2 , b ) .
  • Calculating the second term, we have
    W 1 b + , Υ ( t 2 ) f 1 ( t 2 ) = W 1 b + , Υ ( t 2 ) δ 2 W 1 b + , Υ ( t 2 ) + δ 1 W 2 b + 1 , Υ ( t 2 ) = 1 δ 2 + δ 1 W 2 b + 1 , Υ ( t 2 ) W 1 b + , Υ ( t 2 ) = 1 δ 2 + δ 1 1 b t 2 + 1
    1 δ 2 + δ 1 1 b b 0 + 3 ,
    for t 2 J ( b 0 + 2 , b ) . From (16) and (17), we can conclude that
    G ( t , t 2 ) G ( t 2 1 , t 2 ) 1 f 2 ( t 2 1 ) f 2 ( b 0 ) , t J ( b 0 , t 2 1 ) ; f 2 ( b ) λ δ 2 + δ 1 1 b b 0 + 3 , t J ( t 2 , b ) .
  • Since f 2 ( t 2 ) > 0 , for t 2 J ( b 0 + 1 , b ) , according to Lemma 5 (e), we can say that
    f 2 ( b 1 ) f 2 ( t 2 1 ) f 2 ( b 0 + 1 ) , t 2 J ( b 0 + 2 , b ) .
  • By making the use of (19) in (18), we obtain the desired result. Hence, the proof is complete. □

4. An Application

The following example is dedicated to understand the applicability of the above main results.
Example 1.
Let us suppose that
b 0 = 0 , b = 2 , δ 1 = α 2 = 0 , α 1 = δ 2 = 1 .
This implies that B 1 = B 2 = α 1 = 1 . Therefore,
A = W 2 ( + 1 , 1 ) = 1 2 ( 1 ) , f 1 ( t ) = W 1 ( + 2 , t + 1 ) = Γ ( + 2 t ) Γ ( ) Γ ( 3 t ) f 1 ( b 0 ) = 1 2 ( + 1 ) , λ = f 1 ( b 0 ) A = , f 2 ( t ) = W 1 t + , Υ ( b 0 ) W 2 t + 1 , Υ ( b 0 ) = W 1 t + 1 , Υ ( b 0 ) = Γ ( t + 1 ) Γ ( t ) Γ ( ) f 2 ( b 0 ) 0 , f 2 ( b ) = , f 2 ( b 1 ) = 1 .
Also, we know that
W 1 t + , Υ ( t 2 ) = Γ ( t + t 2 ) Γ ( t t 2 + 1 ) Γ ( ) .
Since t 2 = 2 and
W 1 [ t 2 1 ] + , Υ ( t 2 ) = Γ ( 1 ) Γ ( 0 ) Γ ( ) 0 ,
we conclude that
G 1 ( t 2 1 , t 2 ) = G 2 ( t 2 1 , t 2 ) = 1 Γ ( ) Γ ( + 1 ) Γ ( t 2 + 2 ) Γ ( t 2 + 2 ) Γ ( t 2 1 ) Γ ( 3 t 2 ) = 1 .
Moreover, in view of (9), we have
G ( t , t 2 ) = 1 Γ ( + 1 ) Γ ( t + 1 ) Γ ( t ) , t { 0 , 1 } ; 1 Γ ( + 1 ) Γ ( t + 1 ) Γ ( t ) 1 Γ ( ) Γ ( t + 2 ) Γ ( t 1 ) , t { 2 } . = 0 , t = 0 , 2 ; 1 t = 1 .
Thus, we can deduce that
max t J ( 0 , 2 ) G ( t , t 2 ) = 1 = G ( t 2 1 , t 2 ) , t 2 = 2 ,
which confirms the validity of Theorem 2.
  • On the other hands, we observe that
    χ = 1 f 2 ( b 1 ) min f 2 ( b 0 ) , f 2 ( b ) λ δ 2 + δ 1 1 b b 0 + 3 = min { 0 , 0 } = 0 .
    Therefore, for t 2 = 2 , we have
    1 = max t J ( 0 , 2 ) G ( t , t 2 ) 0 = χ G ( t 2 1 , t 2 ) ,
    for each I 2 . This confirms the validity of Theorem 3.

5. Conclusions

In this paper, we have considered the delta FBVP (1). For this, a new Green’s function in the domain J ( b 0 , b ) has been constructed, together with some essential properties. The proposed Green’s function is formulated via some functions and the positivity of these functions has been derived. In fact, it is proven that the maximality of this Green’s function is equal to G ( t 2 1 , t 2 ) , t 2 J ( b 0 + 2 , b ) ; however, when χ is defined in Theorem 3, it is greater and equal to χ G ( t 2 1 , t 2 ) . Finally, Theorem 3 has been verified by using an example of a special FBVP.
This research direction can be extended to other types of fractional difference operators, such as Liouville–Caputo operators, and other types with Mittag-Leffler and exponential in kernels; for example, see [14,15] to find these operators.

Author Contributions

Conceptualization, A.A.L.; Data curation, P.O.M.; Funding acquisition, E.A.-S.; Investigation, A.A.L.; Software, C.L. and E.A.-S.; Supervision, M.A.; Validation, C.L.; Visualization, M.A.; Writing—original draft, P.O.M.; Writing—review and editing, E.A.-S. All authors have read and agreed to the published version of the manuscript.

Funding

The publication of this research was supported by the University of Oradea, Romania.

Data Availability Statement

Data are contained within the article.

Acknowledgments

Researchers Supporting Project number (RSP2024R136), King Saud University, Riyadh, Saudi Arabia.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Kilbas, A.A.; Srivastava, H.M.; Trujillo, J.J. Theory and Applications of Fractional Differential Equations; Elsevier: Amsterdam, The Netherlands, 2006. [Google Scholar]
  2. Goodrich, C.S.; Peterson, A.C. Discrete Fractional Calculus; Springer: New York, NY, USA, 2015. [Google Scholar]
  3. Yadav, A.; Mathur, T.; Agarwal, S. Complex order fractional differential equation in complex domain with mixed boundary condition. Chaos Solit. Fractals 2024, 185, 115090. [Google Scholar] [CrossRef]
  4. Nieto, J.J.; Yadav, A.; Mathur, T.; Agarwal, S. Fixed Point Method for Nonlinear Fractional Differential Equations with Integral Boundary Conditions on Tetramethyl-Butane Graph. Symmetry 2024, 16, 756. [Google Scholar] [CrossRef]
  5. Atici, F.; Sengul, S. Modeling with discrete fractional equations. J. Math. Anal. Appl. 2010, 369, 1–9. [Google Scholar] [CrossRef]
  6. Silem, A.; Wu, H.; Zhang, D.-J. Discrete rogue waves and blow-up from solitons of a nonisospectral semi-discrete nonlinear Schrödinger equation. Appl. Math. Lett. 2021, 116, 107049. [Google Scholar] [CrossRef]
  7. Cabada, A.; Dimitrov, N. Nontrivial solutions of non-autonomous Dirichlet fractional discrete problems. Fract. Calc. Appl. Anal. 2020, 23, 980–995. [Google Scholar] [CrossRef]
  8. Gholami, Y.; Ghanbari, K. Coupled systems of fractional -difference boundary value problems. Differ. Eq. Appl. 2016, 8, 459–470. [Google Scholar] [CrossRef]
  9. Atici, F.M.; Eloe, P.W. Initial Value Problems in Discrete Fractional Calculus. Proc. Am. Math. Soc. 2009, 137, 981–989. [Google Scholar] [CrossRef]
  10. Baleanu, D.; Wu, G.C.; Bai, Y.R.; Chen, F.L. Stability analysis of Caputo-like discrete fractional systems. Commun. Nonlinear. Sci. Numer. Simul. 2017, 48, 520–530. [Google Scholar] [CrossRef]
  11. Mozyrska, D.; Torres, D.F.M.; Wyrwas, M. Solutions of systems with the Caputo-Fabrizio fractional delta derivative on time scales. Nonlinear Anal. Hybrid Syst. 2019, 32, 168–176. [Google Scholar] [CrossRef]
  12. Abdeljawad, T. On Riemann and Caputo fractional differences. Commput. Math. Appl. 2011, 62, 1602–1611. [Google Scholar] [CrossRef]
  13. Atici, F.M.; Eloe, P.W. A transformmethod in discrete fractional calculus. Int. J. Differ. Equ. 2007, 2, 165–176. [Google Scholar]
  14. Abdeljawad, T. Different type kernel h-fractional differences and their fractional h-sums. Chaos Solitons Fract. 2018, 116, 146–156. [Google Scholar] [CrossRef]
  15. Mohammed, P.O.; Abdeljawad, T. Discrete generalized fractional operators defined using h-discrete Mittag-Leffler kernels and applications to AB fractional difference systems. Math. Meth. Appl. Sci. 2020, 46, 7688–7713. [Google Scholar] [CrossRef]
  16. Goodrich, C.S. On discrete sequential fractional boundary value problems. J. Math. Anal. Appl. 2012, 385, 111–124. [Google Scholar] [CrossRef]
  17. Wang, Z.; Shiri, B.; Baleanu, D. Discrete fractional watermark technique. Front. Inf. Technol. Electron. Eng. 2020, 21, 880–883. [Google Scholar] [CrossRef]
  18. Ahrendt, K.; Castle, L.; Holm, M.; Yochman, K. Laplace transforms for the nabla-difference operator and a fractional variation of parameters formula. Commun. Appl. Anal. 2012, 16, 317–347. [Google Scholar]
  19. Wang, M.; Jia, B.; Chen, C.; Zhu, X.; Du, F. Discrete fractional Bihari inequality and uniqueness theorem of solutions of nabla fractional difference equations with non-Lipschitz nonlinearities. Appl. Math. Comput. 2020, 367, 125118. [Google Scholar] [CrossRef]
  20. Almusawa, M.Y.; Mohammed, P.O. Approximation of sequential fractional systems of Liouville-Caputo type by discrete delta difference operators. Chaos Soliton. Fract. 2023, 176, 114098. [Google Scholar] [CrossRef]
  21. Thompson, H.B.; Tisdell, C. Boundary value problems for systems of difference equations associated with systems of second-order ordinary differential equations. Appl. Math. Lett. 2002, 15, 761–766. [Google Scholar] [CrossRef]
  22. Chen, C.R.; Bohner, M.; Jia, B.G. Ulam-Hyers stability of Caputo fractional difference equations. Math. Meth. Appl. Sci. 2019, 42, 7461–7470. [Google Scholar] [CrossRef]
  23. Brackins, A. Boundary Value Problems of Nabla Fractional Difference Equations. Ph.D. Thesis, The University of Nebraska-Lincoln, Lincoln, NE, USA, 2014. [Google Scholar]
  24. Chen, C.; Bohner, M.; Jia, B. Existence and uniqueness of solutions for nonlinear Caputo fractional difference equations. Turk. J. Math. 2020, 44, 857–869. [Google Scholar] [CrossRef]
  25. Bekkouche, M.M.; Mansouri, I.; Ahmed, A.A.A. Numerical solution of fractional boundary value problem with caputo-fabrizio and its fractional integral. J. Appl. Math. Comput. 2022, 68, 4305–4316. [Google Scholar] [CrossRef] [PubMed]
  26. Goodrich, C.S.; Jonnalagadda, J.M. Monotonicity results for CFC nabla fractional differences with negative lower bound. Analysis 2021, 41, 221–229. [Google Scholar] [CrossRef]
  27. Mohammed, P.O.; Srivastava, H.M.; Muhammad, R.S.; Al-Sarairah, E.; Chorfi, N.; Baleanu, D. On existence of certain delta fractional difference models. J. King Saud Univ. Sci. 2024, 36, 103224. [Google Scholar] [CrossRef]
  28. Mohammed, P.O.; Agarwal, R.P.; Yousif, M.A.; Al-Sarairah, E.; Mahmood, S.A.; Chorfi, N. Some Properties of a Falling Function and Related Inequalities on Green’s Functions. Symmetry 2024, 16, 337. [Google Scholar] [CrossRef]
  29. Guirao, J.L.G.; Mohammed, P.O.; Srivastava, H.M.; Baleanu, D.; Abualrub, M.S. A relationships between the discrete Riemann-Liouville and Liouville-Caputo fractional differences and their associated convexity results. AIMS Math. 2022, 7, 18127–18141. [Google Scholar] [CrossRef]
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MDPI and ACS Style

Mohammed, P.O.; Lizama, C.; Lupas, A.A.; Al-Sarairah, E.; Abdelwahed, M. Maximum and Minimum Results for the Green’s Functions in Delta Fractional Difference Settings. Symmetry 2024, 16, 991. https://doi.org/10.3390/sym16080991

AMA Style

Mohammed PO, Lizama C, Lupas AA, Al-Sarairah E, Abdelwahed M. Maximum and Minimum Results for the Green’s Functions in Delta Fractional Difference Settings. Symmetry. 2024; 16(8):991. https://doi.org/10.3390/sym16080991

Chicago/Turabian Style

Mohammed, Pshtiwan Othman, Carlos Lizama, Alina Alb Lupas, Eman Al-Sarairah, and Mohamed Abdelwahed. 2024. "Maximum and Minimum Results for the Green’s Functions in Delta Fractional Difference Settings" Symmetry 16, no. 8: 991. https://doi.org/10.3390/sym16080991

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