7.9
CiteScore
 
3.6
Impact Factor
Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Search in posts
Search in pages
Filter by Categories
ABUNDANCE ESTIMATION IN AN ARID ENVIRONMENT
Case Study
Correspondence
Corrigendum
Editorial
Full Length Article
Invited review
Letter to the Editor
Original Article
Research Article
Retraction notice
REVIEW
Review Article
SHORT COMMUNICATION
Short review
7.2
CiteScore
3.7
Impact Factor
Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Search in posts
Search in pages
Filter by Categories
ABUNDANCE ESTIMATION IN AN ARID ENVIRONMENT
Case Study
Correspondence
Corrigendum
Editorial
Full Length Article
Invited review
Letter to the Editor
Original Article
Research Article
Retraction notice
REVIEW
Review Article
SHORT COMMUNICATION
Short review
View/Download PDF

Translate this page into:

Original article
10 2023
:35;
102794
doi:
10.1016/j.jksus.2023.102794

Monotonicity and positivity analyses for two discrete fractional-order operator types with exponential and Mittag–Leffler kernels

Department of Mathematics, College of Education, University of Sulaimani, Sulaimani 46001, Kurdistan Region, Iraq
Department of Mathematics and Statistics, University of Victoria, Victoria, British Columbia V8W 3R4, Canada
Section of Mathematics, International Telematic University Uninettuno, I-00186 Rome, Italy
Center for Converging Humanities, Kyung Hee University, 26 Kyungheedae-ro, Dongdaemun-gu, Seoul 02447, Republic of Korea
Department of Mathematics, Cankaya University, 06530 Balgat, Ankara, Turkey
Institute of Space Sciences, R76900 Magurele-Bucharest, Romania
Department of Medical Research, China Medical University, Taichung 40402, Taiwan
Department of Mathematics, Khalifa University, P.O.Box 127788, Abu Dhabi, United Arab Emirates
Department of Mathematics, Al-Hussein Bin Talal University, P.O. Box 20, Ma’an 71111, Jordan
Department of Mathematics, C.V. Raman Global University, Bhubaneswar 752054, Odisha, India
Department of Mathematics, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia

⁎Corresponding authors at: Department of Mathematics, Cankaya University, 06530 Balgat, Ankara, Turkey (D. Baleanu). pshtiwansangawi@gmail.com (Pshtiwan Othman Mohammed), dumitru@cankaya.edu.tr (Dumitru Baleanu)

Disclaimer:
This article was originally published by Elsevier and was migrated to Scientific Scholar after the change of Publisher.

Peer review under responsibility of King Saud University.

Abstract

The discrete analysed fractional operator technique was employed to demonstrate positive findings concerning the Atangana-Baleanu and discrete Caputo-Fabrizo fractional operators. Our tests utilized discrete fractional operators with orders between 1 < φ < 2 , as well as between 1 < φ < 3 2 . We employed the initial values of Mittag–Leffler functions and applied the principle of mathematical induction to ensure the positivity of the discrete fractional operators at each time step. As a result, we observed a significant impact of the positivity of these operators on Q ( τ ) within N p 0 + 1 according to the Riemann–Liouville interpretation. Furthermore, we established a correlation between the discrete fractional operators based on the Liouville-Caputo and Riemann–Liouville definitions. In addition, we emphasized the positivity of Q ( τ ) in the Liouville-Caputo sense by utilizing this relationship. Two examples are presented to validate the results.

Keywords

Discrete fractional calculus
Discrete Caputo-Fabrizo operators
Discrete Atangana-Baleanu fractional operators
Monotonicity and positivity
26A48
26A51
33B10
39A12
39B62
PubMed
1

1 Introduction

In the past decade, discrete fractional calculus has found applications in various fields including applied mathematics, physics, medicine, and chemistry (refer to, for instance, Goodrich and Peterson (2015); Atici et al. (2020); Atici et al. (2017); Iqbal et al. (2023a); Shah et al. (2022)). However, there has been a significant resurgence of interest in discrete fractional calculus operators towards the end of the 20th century and the beginning of the 21st century. This renewed interest stems from the development of novel fractional calculus operators (see Kilbas et al., 2006; Srivastava, 2021a; Srivastava, 2021b; Iqbal et al., 2023b; Shah et al., 2023), such as the Riemann–Liouville and Liouville-Caputo fractional operators (see Abdeljawad, 2011), Caputo-Fabrizo fractional operators with an exponential kernel (see Abdeljawad and Baleanu, 2017a; Abdeljawad et al., 2017), Atangana-Baleanu fractional operators with the Mittag–Leffler kernel (see Abdeljawad and Madjidi, 2017; Abdeljawad, 2018), and other generalized fractional operators (see Srivastava, 2021a; Srivastava, 2021b; Mohammed and Abdeljawad, 2020).

Discrete fractional operators serve as mathematical tools that generalize and expand upon the principles of differentiation and integration by accommodating non-integer orders. In contrast to conventional calculus, which solely deals with integer orders, discrete fractional operators operate on discrete data points, facilitating the examination of non-smooth or irregularly sampled signals. These operators provide a mechanism to describe and comprehend intricate systems that exhibit fractal or self-similar characteristics. By capturing signal behavior across various scales, discrete fractional operators enable the analysis of phenomena that cannot be sufficiently elucidated through traditional integer-order calculus. Their utility extends to diverse domains, including signal processing, image analysis, time series analysis, and fractional differential equations, among others. Ongoing research in the field of discrete fractional operators focuses on refining their properties, devising efficient computational algorithms, and exploring novel applications in emerging fields.

In the last few years, the search for analyses of the discrete fractional operators that are close to the monotonicity of the function, that is to say, satisfying the delta or nabla positivity of the function, has received a lot of attention, see for example (Goodrich, 2014; Du et al., 2016; Goodrich, 2016; Dahal and Goodrich, 2021). The theory of positivity and monotonicity analyses of the discrete fractional operators on Riemann–Liouville differences was started by by Dahal and Goodrich in Dahal and Goodrich (2014). After that, many authors followed their idea to investigate further results for Riemann–Liouville difference operators, for example in Atici and Uyanik (2015), Dahal and Goodrich (2014), Goodrich and Lizama (2020), Goodrich and Lyons (2020). These results have been developed and applied on other types of discrete fractional operators (see, for example, Abdeljawad and Abdalla, 2017; Mohammed et al., 2021 on the Liouville-Caputo, Mohammed and Baleanu, 2022; Abdeljawad, 2017 on the Caputo-Fabrizo, and Mohammed et al., 2022a; Abdeljawad and Baleanu, 2017b; Suwan et al., 2018 on the Atangana-Baleanu fractional difference operators). Furthermore, many researchers have considered the relationship between sequential fractional difference operators and the positivity and monotonicity of their corresponding functions in both the Riemann–Liouville sense and the Liouville-Caputo sense (see, for example, Dahal and Goodrich, 2019; Dahal et al., 2021; Goodrich et al., 2021a; Mohammed et al., 2022b; Goodrich et al., 2021b; Goodrich, 2017).

In a very recent work, Jia et al. Jia et al. (2015) demonstrated a connection between the positivity of the Riemann–Liouville fractional difference and the monotonicity of the function involved. Based on these results, we will find a relationship between the positivity of the fractional differences and their corresponding functions in the Riemann–Liouville sense. In addition, we will establish these results in the Liouville-Caputo sense by using the relationship between the Riemann–Liouville sense and the Liouville-Caputo sense of the Caputo-Fabrizo and Atangana-Baleanu fractional differences, which we will prove in this article as well.

The organization of the study is as follows: Section 2 provides an introduction to the preliminaries and notations that will be utilized. The theory of discrete fractional calculus has been briefly discussed. However, even though some generalizations of relationships exist for lower order 0 < φ < 1 , a study in the discrete Caputo-Fabrizo and Atangana-Baleanu fractional settings are missing for the higher orders. For that reason, in this section, we make these relationships between the discrete fractional operators with respect to their corresponding Riemann–Liouville and Liouville-Caputo operators. In Section 3, we present our main results on the discrete Caputo-Fabrizo and Atangana-Baleanu fractional operators for functions defined on N p 0 . Lastly, the conclusion of the study presented in this article is provided in Section 4.

2

2 Definitions, preliminaries and other necessary tools

In this section, we delve into multiple definitions of the Atangana-Baleanu and discrete Caputo-Fabrizo fractional operators. Additionally, we provide a set of remarks that are crucial for establishing the main results (for more comprehensive information, refer to Abdeljawad (2018); Abdeljawad and Baleanu (2017a); Abdeljawad et al. (2017); Abdeljawad and Madjidi (2017)). F p 0 , κ Q ; Q : N p 0 - κ R with κ N 0 , p 0 R , where N p 0 { p 0 , p 0 + 1 , } .

Definition 2.1

Definition 2.1 see Abdeljawad, 2018; Abdeljawad and Baleanu, 2017a

Let Q F p 0 , 0 and C ( φ ) > 0 is a multiplier. Then the following operators:

(2.1)
φ p 0 ABC Q ( τ ) C ( φ ) - φ + 1 r = p 0 + 1 τ r Q ( r ) E φ ( ξ , 1 + τ - r ) τ N p 0 + 1 , and
(2.2)
φ p 0 CFC Q ( τ ) C ( φ ) r = p 0 + 1 τ r Q ( r ) ( - φ + 1 ) τ - r τ N p 0 + 1
are called the discrete Atangana-Baleanu and Caputo-Fabrizo fractional operators in the Liouville-Caputo sense, respectively. Also, the following operators:
(2.3)
φ p 0 ABR Q ( τ ) C ( φ ) - φ + 1 τ r = p 0 + 1 τ Q ( r ) E φ ( ξ , τ - r + 1 ) τ N p 0 + 1 ,
and
(2.4)
φ p 0 CFR Q ( τ ) C ( φ ) τ r = p 0 + 1 τ Q ( r ) ( - φ + 1 ) τ - r τ N p 0 + 1
are called the discrete Atangana-Baleanu and Caputo-Fabrizo fractional operators in the Riemann–Liouville sense, respectively.

The above definitions have been generalized by Abdeljawad et al. (2017), and by Abdeljawad and Madjidi (2017), as follows.

Definition 2.2

Definition 2.2 see Abdeljawad et al., 2017; Abdeljawad and Madjidi, 2017

For Q F p 0 , κ with κ < φ κ + 1 , the discrete Atangana-Baleanu and Caputo-Fabrizo fractional difference operators can be expressed as follows:

(5)
φ p 0 CFC Q ( τ ) = φ - κ p 0 CFC κ Q ( τ ) and φ p 0 ABC Q ( τ ) = φ - κ p 0 ABC κ Q ( τ ) , in the Liouville-Caputo sense, and
(6)
φ p 0 CFR Q ( τ ) = φ - κ p 0 CFR κ Q ( τ ) , and φ p 0 ABR Q ( τ ) = φ - κ p 0 ABR κ Q ( τ ) ,
in the Riemann–Liouville sense, for each τ N p 0 + 1 .

Remark 2.1

The above definitions contain the one-parameter Mittag–Leffler function E α ( z ) , which is defined here as follows (see Mohammed and Abdeljawad, 2020; see also Srivastava, 2021a; Srivastava, 2021b for much more general families of Mittag–Leffler type functions):

(7)
E φ ( ξ , τ ) k = 0 ξ k τ k φ Γ ( k φ + 1 ) = : E φ ξ τ φ for any ξ R such that | ξ | < 1 , φ , τ C with Re ( φ ) > 0 . and τ φ is the rising function defined by
(8)
τ φ = Γ τ + φ Γ τ ,
for φ in R and τ in R { , - 2 , - 1 , 0 } .

On the other hand, in view of Mohammed et al. (2022b, Remark 2.2), we have some initial values for ξ = - φ + 1 - φ + 2 and 1 < φ < 3 2 :

  • E φ - 1 ( ξ , 0 ) = 1 ,

  • E φ - 1 ( ξ , 1 ) = 2 - φ ,

  • E φ - 1 ( ξ , 2 ) = φ ( 2 - φ ) 2 ,

  • E φ - 1 ( ξ , 3 ) = 2 - φ 2 ( φ - 1 ) 3 ( 2 φ - 3 ) - 3 ( φ - 1 ) 2 + 2 .

According to this, together with Fig. 1, one can observe that 0 < E φ - 1 ( ξ , τ ) < 1 for each 1 < φ < 3 2 and τ = 1 , 2 , 3 , , and it is monotonically decreasing for each 1 < φ < 3 2 and τ = 0 , 1 , 2 , .

Graph of E φ - 1 ‾ ( ξ , τ ) for φ ∈ ( 1 , 1.5 ) and τ = 1 , 2 , ⋯ , 20 .
Fig. 1
Graph of E φ - 1 ( ξ , τ ) for φ ( 1 , 1.5 ) and τ = 1 , 2 , , 20 .

By establishing a correlation between the interpretations of the Riemann–Liouville and Liouville-Caputo concepts, a connection can be derived between the discrete Caputo-Fabrizio and Atangana-Baleanu fractional operators.

Proposition 2.1

Assume that Q F p 0 , 0 . Then, for κ < φ κ + 1 , it is asserted that φ p 0 CFR Q ( τ ) = φ p 0 CFC Q ( τ ) + C ( φ - κ ) κ + - φ + 1 ( κ + - φ + 1 ) τ - p 0 κ Q ( p 0 ) . Furthermore, for κ < φ κ + 1 2 , it is asserted that φ p 0 ABR Q ( τ ) = φ p 0 ABC Q ( τ ) + C ( φ - κ ) κ + - φ + 1 E φ - κ ( ξ κ , τ - p 0 ) κ Q ( p 0 ) , for each τ N p 0 + 1 , where ξ κ = - φ - κ κ + - φ + 1 .

Proof

The first part of the proof can be deduced by referencing Definition 2.2 and Abdeljawad (2018, Proposition 8). Similarly, the second part of the proof can be established by relying on Definition 2.2 and Abdeljawad (2018, Theorem 10).  □

Remark 2.2

We note that, for ξ = - φ - φ + 1 with 0 < φ < 1 2 , it is known that | ξ | < 1 . Moreover, since 0 < φ - κ 1 2 , we see that | ξ κ | < 1 for ξ κ = - φ - κ κ + - φ + 1 with κ < φ κ + 1 2 .

3

3 Main results

Within this section, we shall provide the proofs for the positivity theorems. which are stated as Theorem 3.1 and Theorem 3.2 below. To do this, we first need to two lemmas, one for the discrete Caputo-Fabrizo operators and the other one for the Atangana-Baleanu operators.

Lemma 3.1

Assume that Q F p 0 , 0 , 1 < φ < 2 and φ p 0 CFR Q ( τ ) q 0 τ N p 0 + 1 . Then Q ( τ ) q ( φ - 1 ) ( - φ + 2 ) τ - p 0 - 2 Q ( p 0 + 1 ) + r = p 0 + 2 τ - 1 r Q ( r ) ( - φ + 2 ) τ - r - 1 , for each τ N p 0 + 2 .

Proof

From Definition 2.1 with 1 < φ < 2 , one can see, for each τ N p 0 + 2 , that

(3.1)
φ p 0 CFR Q ( τ ) = C ( φ - 1 ) r = p 0 + 1 τ r Q ( r ) ( - φ + 2 ) τ - r - r = p 0 + 1 τ - 1 r Q ( r ) ( - φ + 2 ) τ - r - 1 = C ( φ - 1 ) Q ( τ ) + r = p 0 + 1 τ - 1 r Q ( r ) ( - φ + 2 ) τ - r - ( - φ + 2 ) τ - r - 1 = C ( φ - 1 ) Q ( τ ) + ( - φ + 2 ) ( - φ + 1 ) τ - p 0 - 2 Q ( p 0 + 1 ) + ( - φ + 1 ) r = p 0 + 2 τ - 1 r Q ( r ) ( - φ + 2 ) τ - r - 1 , which, together with the fact that C ( φ - 1 ) > 0 and the assumption that φ p 0 CFR Q ( τ ) q 0 , can be rearranged to the derive the desired results. □

Corollary 3.1

Assume that Q F p 0 , 0 , 1 < φ < 2 and φ p 0 CFC Q ( τ ) q - C ( φ - 1 ) - φ + 2 ( - φ + 2 ) τ - p 0 Q ( p 0 ) for each τ N p 0 + 1 . Then Q ( τ ) q ( - 1 + φ ) ( 2 - φ ) τ - p 0 - 2 Q ( 1 + p 0 ) + r = p 0 + 2 τ - 1 r Q ( r ) ( - φ + 2 ) τ - r - 1 , for each τ N p 0 + 2 .

Proof

The deduction of the outcome can be made directly by referring to Proposition 2.1 and Lemma 3.1. □

Lemma 3.2

Suppose that Q F p 0 , 0 , 1 < φ < 3 2 , ξ 1 = - φ - 1 - φ + 2 and φ p 0 ABR Q ( τ ) q 0 for each τ N p 0 + 1 . Then Q ( τ ) q 1 - φ + 2 E φ - 1 ( ξ 1 , τ - p 0 - 1 ) - E φ - 1 ( ξ 1 , τ - p 0 ) Q ( 1 + p 0 ) + r = p 0 + 2 τ - 1 E φ - 1 ( ξ 1 , τ - r ) - E φ - 1 ( ξ 1 , τ - r + 1 ) r Q ( r ) , for each τ N p 0 + 2 .

Proof

According to Definition 2.1 when 1 < φ < 3 2 , we find for each τ N p 0 + 2 that

(2)
φ p 0 ABR Q ( τ ) = C ( φ - 1 ) - φ + 2 r = p 0 + 1 τ E φ - 1 ( ξ 1 , τ - r + 1 ) r Q ( r ) - r = p 0 + 1 τ - 1 E φ - 1 ( ξ 1 , τ - r ) r Q ( r ) = C ( φ - 1 ) 2 - φ ( - φ + 2 ) Q ( τ ) + r = p 0 + 1 τ - 1 E φ - 1 ( ξ 1 , τ - r + 1 ) - E φ - 1 ( ξ 1 , τ - r ) r Q ( r ) = C ( φ - 1 ) 2 - φ ( - φ + 2 ) Q ( τ ) + E φ - 1 ( ξ 1 , τ - p 0 ) - E φ - 1 ( ξ 1 , τ - p 0 - 1 ) Q ( p 0 + 1 ) + r = p 0 + 2 τ - 1 E φ - 1 ( ξ 1 , τ - r + 1 ) - E φ - 1 ( ξ 1 , τ - r ) r Q ( r ) . Considering this together with the fact that C ( φ - 1 ) > 0 and the assumption φ p 0 ABR Q ( τ ) q 0 , we arrive at the intended result. □

Corollary 3.2

Assume that Q F p 0 , 0 , 1 < φ < 3 2 , ξ 1 = - φ - 1 - φ + 2 and φ p 0 ABC Q ( τ ) q - C ( φ - 1 ) - φ + 2 E φ - 1 ( ξ 1 , τ - p 0 ) Q ( p 0 ) for each τ N p 0 + 1 . Then, we have Q ( τ ) q 1 2 - φ E φ - 1 ( ξ 1 , τ - p 0 ) - E φ - 1 ( ξ 1 , τ - p 0 - 1 ) Q ( p 0 + 1 ) + r = p 0 + 2 τ - 1 E φ - 1 ( ξ 1 , τ - r + 1 ) - E φ - 1 ( ξ 1 , τ - r ) r Q ( r ) , for each τ N p 0 + 2 .

Proof

The proof can be straightforwardly derived from the application of Proposition 2.1 and Lemma 3.2.  □

Theorem 3.1

Suppose that Q F p 0 , 0 , 1 < φ < 2 and φ p 0 CFR Q ( τ ) q 0 τ N p 0 + 1 . Then Q ( τ ) q 0 τ N p 0 + 1 .

Proof

We proceed with the proof by mathematical induction. By using Definition (6) for 1 < φ < 2 at τ = p 0 + 1 , one can have φ p 0 CFR Q ( p 0 + 1 ) = φ - 1 p 0 CFR Q ( p 0 + 1 ) = C ( φ - 1 ) r = 1 + p 0 1 + p 0 Q ( r ) ( - φ + 2 ) p 0 + 1 - r - r = 1 + p 0 p 0 Q ( r ) ( 2 - φ ) p 0 - r = C ( φ - 1 ) Q ( p 0 + 1 ) , which implies that Q ( p 0 + 1 ) q 0 by the hypothesis and the fact that C ( φ - 1 ) > 0 . At τ = p 0 + 2 , we have φ p 0 CFR Q ( p 0 + 2 ) = C ( φ - 1 ) r = 1 + p 0 2 + p 0 Q ( r ) ( - φ + 2 ) p 0 + 2 - r - r = 1 + p 0 1 + p 0 Q ( r ) ( - φ + 2 ) p 0 + 1 - r = C ( φ - 1 ) ( - φ + 1 ) Q ( 1 + p 0 ) + Q ( 2 + p 0 ) q 0 , which leads to Q ( p 0 + 2 ) q ( φ - 1 ) > 0 Q ( p 0 + 1 ) q 0 q 0 . Suppose now that κ q 2 and that Q ( p 0 + ı ) q 0 for ı = 2 , 3 , , κ . Then, by using Lemma 3.1 at τ = p 0 + κ + 1 , we have Q ( p 0 + κ + 1 ) q ( φ - 1 ) > 0 ( 2 - φ ) κ - 1 > 0 Q ( 1 + p 0 ) q 0 + r = p 0 + 2 p 0 + κ r Q ( r ) q 0 by inductive assumption ( - φ + 2 ) κ + p 0 - r > 0 q 0 , which completes the proof of the induction process. Hence, the proof is done.  □

Corollary 3.3

Suppose Q F p 0 , 0 , 1 < φ < 2 and φ p 0 CFC Q ( τ ) q - C ( φ - 1 ) - φ + 2 ( - φ + 2 ) τ - p 0 Q ( p 0 ) τ N p 0 + 1 . Then, Q ( τ ) q 0 τ N p 0 + 1 .

Theorem 3.2

Suppose that Q F p 0 , 0 , 1 < φ < 3 2 , ξ 1 = - φ - 1 - φ + 2 and φ p 0 ABR Q ( τ ) q 0 τ N p 0 + 1 . Then Q ( τ ) q 0 τ N p 0 + 1 .

Proof

Again, we use mathematical induction to proceed with the proof of Theorem 3.2. Indeed, by using Definition (6) for 1 < φ < 3 2 at τ = p 0 + 1 , and Remark 2.1, we see that φ p 0 ABR Q ( p 0 + 1 ) = φ - 1 p 0 CFR Q ( p 0 + 1 ) = C ( φ - 1 ) - φ + 2 r = 1 + p 0 1 + p 0 Q ( r ) E φ - 1 ( ξ 1 , p 0 + 2 - r ) - r = 1 + p 0 p 0 Q ( r ) E φ - 1 ( ξ 1 , p 0 - r + 1 ) = C ( φ - 1 ) - φ + 2 Q ( p 0 + 1 ) E φ - 1 ( ξ 1 , 1 ) = C ( φ - 1 ) Q ( p 0 + 1 ) q 0 , which implies that Q ( p 0 + 1 ) q 0 , where we have used the fact that C ( φ - 1 ) > 0 . Moreover, at τ = p 0 + 2 , we have φ p 0 ABR Q ( p 0 + 2 ) = C ( φ - 1 ) - φ + 2 r = 1 + p 0 2 + p 0 Q ( r ) E φ - 1 ( ξ 1 , p 0 - r + 3 ) - r = 1 + p 0 p 0 + 1 Q ( r ) E φ - 1 ( ξ 1 , p 0 - r + 2 ) = C ( φ - 1 ) - φ + 2 Q ( 1 + p 0 ) E φ - 1 ( ξ 1 , 2 ) + Q ( 2 + p 0 ) E φ - 1 ( ξ 1 , 1 ) - Q ( 1 + p 0 ) E φ - 1 ( ξ 1 , 1 ) = C ( φ - 1 ) - ( φ - 1 ) 2 Q ( 1 + p 0 ) + Q ( 2 + p 0 ) q 0 , which implies that Q ( 2 + p 0 ) q ( φ - 1 ) 2 > 0 Q ( 1 + p 0 ) q 0 q 0 . Assume that κ q 2 and that Q ( p 0 + ı ) q 0 for ı = 2 , 3 , , κ . Then, by making use of Lemma 3.2 at τ = p 0 + κ + 1 , we get Q ( p 0 + κ + 1 ) q 1 - φ + 2 > 0 E φ - 1 ( ξ 1 , κ ) - E φ - 1 ( ξ 1 , κ + 1 ) > 0 Q ( p 0 + 1 ) q 0 + r = p 0 + 2 p 0 + κ E φ - 1 ( ξ 1 , p 0 + κ - r + 1 ) - E φ - 1 ( ξ 1 , p 0 + κ - r + 2 ) > 0 r Q ( r ) q 0 by inductive assumption q 0 , which completes the induction process, where we used that E φ - 1 ( ξ 1 , κ ) is monotonically decreasing according to Remark 2.1. Hence, the proof is complete.  □

Corollary 3.4

Suppose Q F p 0 , 0 , 1 < φ < 3 2 , ξ 1 = - φ - 1 2 - φ and φ p 0 ABC Q ( τ ) q - C ( φ - 1 ) 2 - φ E φ - 1 ( ξ 1 , τ - p 0 ) Q ( p 0 ) τ N p 0 + 1 . Then, Q ( τ ) q 0 τ N p 0 + 1 .

Once theoretical results are successfully derived, it is important to check their accuracy. For this reason, we briefly consider two examples as a verification for the main theorems. It is noteworthy that these examples are computed using the MATLAB software.

Example 3.1

By considering Eq. (3.1) for τ p 0 + 3 , we get φ p 0 CFR Q ( p 0 + 3 ) = C ( φ - 1 ) Q ( p 0 + 3 ) + ( 2 - φ ) ( 1 - φ ) Q ( p 0 + 1 ) + ( 1 - φ ) r = p 0 + 2 p 0 + 2 r Q ( r ) ( 2 - φ ) p 0 + 2 - r . For a = 0 , it follows that φ 0 CFR Q ( 3 ) = C ( φ - 1 ) Q ( 3 ) + ( 2 - φ ) ( - φ + 1 ) Q ( 1 ) + ( 1 - φ ) r = 2 2 r Q ( r ) ( 2 - φ ) 2 - r = C ( φ - 1 ) Q ( 3 ) + ( 2 - φ ) ( 1 - φ ) Q ( 1 ) + ( 1 - φ ) Q ( 2 ) = C ( φ - 1 ) Q ( 3 ) - Q ( 2 ) + ( 2 - φ ) ( 1 - φ ) Q ( 1 ) - Q ( 0 ) + ( 1 - φ ) Q ( 2 ) - Q ( 1 ) . Let’s consider Q ( 0 ) = 1 2 , Q ( 1 ) = 1 , Q ( 2 ) = 3 2 , Q ( 3 ) = 2 and φ = 3 2 , we see that 1.5 0 CFR Q ( 3 ) = C ( 0.5 ) 0.5 + ( - 0.5 ) ( 0.5 ) ( 0.5 ) + ( - 0.5 ) ( 0.5 ) = 0.1250 C ( 0.5 ) > 0 . Thus, clearly, Theorem 3.1 confirms that ( Q ) ( 3 ) > 0 .

Example 3.2

By using Eq. (2) for t p 0 + 3 , we see that φ p 0 ABR Q ( p 0 + 3 ) = C ( φ - 1 ) Q ( p 0 + 3 ) + 1 2 - φ E φ - 1 ( ξ , 3 ) - E φ - 1 ( ξ , 2 ) Q ( 1 + p 0 ) + 1 2 - φ r = 2 + p 0 2 + p 0 E φ - 1 ( ξ , p 0 + 4 - r ) - E φ - 1 ( ξ , p 0 + 3 - r ) r Q ( r ) . For p 0 = 0 , it follows that φ 0 ABR Q ( 3 ) = C ( φ - 1 ) Q ( 3 ) + 1 2 ( φ - 1 ) 2 2 φ 2 - 5 φ + 2 Q ( 1 ) + 1 - φ + 2 r = 2 2 E φ - 1 ( ξ , 4 - r ) - E φ - 1 ( ξ , 3 - r ) r Q ( r ) = C ( φ - 1 ) Q ( 3 ) + 1 2 ( φ - 1 ) 2 2 φ 2 - 5 φ + 2 Q ( 1 ) - ( φ - 1 ) 2 Q ( 2 ) = C ( φ - 1 ) Q ( 3 ) - Q ( 2 ) + 1 2 ( φ - 1 ) 2 2 φ 2 - 5 φ + 2 Q ( 1 ) - Q ( 0 ) - ( φ - 1 ) 2 Q ( 2 ) - Q ( 1 ) . By considering Q ( 0 ) = 1 2 , Q ( 1 ) = 1 , Q ( 2 ) = 3 2 , Q ( 3 ) = 2 and φ = 1.4 , we find that 1.4 0 ABR Q ( 3 ) = 0.3768 C ( 0.4 ) > 0 . Thus, obviously, Theorem 3.2 confirms that Q ( 3 ) > 0 .

4

4 Conclusion

In this paper, the discrete analysed fractional operator technique has been successfully applied to find positivity results to the discrete Caputo-Fabrizo and Atangana-Baleanu fractional operators with exponential and Mittag–Leffler kernels, respectively. As a result, general forms of Q ( τ ) on τ N p 0 + 1 in terms of the discrete Caputo-Fabrizo fractional operators with the exponential kernel and the Atangana-Baleanu fractional operators with the Mittag–Leffler kernel have been obtained in summation representations in Lemma 3.1 and Lemma 3.2, respectively. These new general forms might be potentially useful in the study of Q ( τ ) to be positive for each time step τ in N p 0 + 1 by the induction procedure as we have done in Theorem 3.1 and Theorem 3.2 in the Riemann–Liouville sense. Particularly, due to a strong relationship between the discrete fractional operators in the sense of Liouville-Caputo and Riemann–Liouville (as in Proposition 2.1), the positivity of Q ( τ ) has been highlighted for those operators in the Liouville-Caputo sense as in Corollaries 3.1,3.2,3.3,3.4. Finally, two examples (Examples 3.1 and Example 3.2) have been solved to demonstrate the validity of our main results.

Acknowledgements

Researchers Supporting Project number (RSP2023R153), King Saud University, Riyadh, Saudi Arabia.

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

References

  1. , . On Riemann and Caputo fractional differences. Commput. Math. Appl.. 2011;62:1602-1611.
    [Google Scholar]
  2. , . Monotonicity results for fractional difference operators with discrete exponential kernels. Adv. Differ. Equ.. 2017;17 Article ID 78
    [Google Scholar]
  3. , . Different type kernel h-fractional differences and their fractional h-sums. Chaos Solitons Fract.. 2018;116:146-156.
    [Google Scholar]
  4. , , . Monotonicity results for delta and nabla Caputo and Riemann fractional differences via dual identities. Filomat. 2017;31:3671-3683.
    [Google Scholar]
  5. , , . On fractional derivatives with exponential kernel and their discrete versions. Rep. Math. Phys.. 2017;80:11-27.
    [Google Scholar]
  6. , , . Monotonicity analysis of a nabla discrete fractional operator with discrete Mittag-Leffler kernel. Chaos Solitons Fract.. 2017;116:1-5.
    [Google Scholar]
  7. , , . Lyapunov-type inequalities for fractional difference operators with discrete Mittag-Leffler kernel of order 2 < α < 5 / 2 . Eur. Phys. J. Spec. Top.. 2017;226:3355-3368.
    [Google Scholar]
  8. Abdeljawad, T., Al-Mdallal, Q.M., Hajji, M.A. 2017. Arbitrary order fractional difference operators with discrete exponential kernels and applications. Discrete Dyn. Nature Soc. 2017, Article ID 4149320.
  9. , , . Analysis of discrete fractional operators. Appl. Anal. Discrete Math.. 2015;9:139-149.
    [Google Scholar]
  10. , , , , . A new approach for modeling with discrete fractional equations. Fund. Inform.. 2017;151:313-324.
    [Google Scholar]
  11. , , , , , . Pharmacokinetics and pharmacodynamics models of tumor growth and anticancer effects in discrete time. Comput. Math. Biophys.. 2020;8:114-125.
    [Google Scholar]
  12. , , . A monotonicity result for discrete fractional difference operators. Arch. Math. (Basel). 2014;102:293-299.
    [Google Scholar]
  13. , , . A monotonocity result for discrete fractional difference operators. Arch. Math. (Basel). 2014;102:293-299.
    [Google Scholar]
  14. , , . Mixed order monotonicity results for sequential fractional nabla differences. J. Differ. Equ. Appl.. 2019;25:837-854.
    [Google Scholar]
  15. , , . Theoretical and numerical analysis of monotonicity results for fractional difference operators. Appl. Math. Lett.. 2021;117 Article ID 107104
    [Google Scholar]
  16. , , , . Monotonicity results for sequential fractional differences of mixed orders with negative lower bound. J. Differ. Equ. Appl.. 2021;27:1574-1593.
    [Google Scholar]
  17. , , , , . Monotonicity and convexity for nabla fractional ( q , h ) -differences. J. Differ. Equ. Appl.. 2016;22:1224-1243.
    [Google Scholar]
  18. , . A convexity result for fractional differences. Appl. Math. Lett.. 2014;35:158-162.
    [Google Scholar]
  19. , . A note on convexity, concavity, and growth conditions in discrete fractional calculus with delta difference. Math. Inequal. Appl.. 2016;19:769-779.
    [Google Scholar]
  20. , . A sharp convexity result for sequential fractional delta differences. J. Differ. Equ. Appl.. 2017;23:1986-2003.
    [Google Scholar]
  21. , , . Positivity, monotonicity, and convexity for convolution operators. Discrete Contin. Dyn. Syst.. 2020;40:4961-4983.
    [Google Scholar]
  22. , , . Positivity and monotonicity results for triple sequential fractional differences via convolution. Analysis. 2020;40:89-103.
    [Google Scholar]
  23. , , . Discrete Fractional Calculus. Berlin: Springer; .
  24. , , , . Convexity, monotonicity and positivity results for sequential fractional nabla difference operators with discrete exponential kernels. Math. Meth. Appl. Sci.. 2021;44:7099-7120.
    [Google Scholar]
  25. , , , . Analytical and numerical monotonicity results for discrete fractional sequential differences with negative lower bound. Commun. Pure Appl. Anal.. 2021;20:339-358.
    [Google Scholar]
  26. , , , , , , . Numerical simulations of nonlinear stochastic Newell-Whitehead-Segel equation and its measurable properties. J. Comput. Appl. Math.. 2023;418:114618.
    [Google Scholar]
  27. Iqbal, Z., Rehman, Mu.A.-u., Imran, M., Ahmed, N., Fatima, U., Akgül, A., Rafiq, M., Raza, A., Djuraev, A.A., Jarad, F., 2023. A finite difference scheme to solve a fractional order epidemic model of computer virus. AIMS Math. 8, 2337–2359.
  28. , , , . Two monotonicity results for nabla and delta fractional differences. Arch. Math. (Basel). 2015;104:589-597.
    [Google Scholar]
  29. , , , . Theory and Applications of Fractional Differential Equations, North-Holland Mathematical Studies. Vol vol. 204. London and New York: Elsevier (North-Holland) Science Publishers, Amsterdam; .
  30. , , . Discrete generalized fractional operators defined using h-discrete Mittag-Leffler kernels and applications to AB fractional difference systems. Math. Meth. Appl. Sci.. 2020;1–26
    [CrossRef] [Google Scholar]
  31. , , . On convexity, monotonicity and positivity analysis for discrete fractional operators defined using exponential kernels. Fractal Fract.. 2022;6 Article ID 55
    [Google Scholar]
  32. , , , . On Riemann-Liouville and Caputo fractional forward difference monotonicity analysis. Mathematics. 2021;9:1303.
    [Google Scholar]
  33. , , , , . New classifications of monotonicity investigation for discrete operators with Mittag-Leffler kernel. Math. Biosci. Engrg.. 2022;19:4062-4074.
    [Google Scholar]
  34. , , , , , . On positivity and monotonicity analysis for discrete fractional operators with discrete Mittag-Leffler kernel. Math. Meth. Appl. Sci.. 2022;1–20
    [CrossRef] [Google Scholar]
  35. , , , , , , , . On analysis of magnetized viscous fluid flow in permeable channel with single wall carbon nano tubes dispersion by executing nano-layer approach. Alex. Eng. J.. 2022;61:11737-11751.
    [Google Scholar]
  36. , , , , , , . Numerical study of a nonlinear fractional chaotic Chua’s circuit. AIMS Math.. 2023;8:1636-1655.
    [Google Scholar]
  37. , . An introductory overview of fractional-calculus operators based upon the Fox-Wright and related higher transcendental functions. J. Adv. Engrg. Comput.. 2021;5:135-166.
    [Google Scholar]
  38. , . Some parametric and argument variations of the operators of fractional calculus and related special functions and integral transformations. J. Nonlinear Convex Anal.. 2021;22:1501-1520.
    [Google Scholar]
  39. , , , . Monotonicity analysis for nabla h-discrete fractional Atangana-Baleanu differences. Chaos Solitons Fract.. 2018;117:50-59.
    [Google Scholar]

Appendix A

Supplementary material

Supplementary data associated with this article can be found, in the online version, at https://doi.org/10.1016/j.jksus.2023.102794.

Supplementary material

The following are the Supplementary data to this article:

Supplementary data 1

Show Sections